Scientific Publication
From Product Testing to Peer-Reviewd Visibility
At IXP, we go beyond testing products and systems in lab and living-lab environments – we help transform these findings into internationally visible scientific knowledge. Our team prepares results for peer-reviewed journals and leading scientific conferences, ensuring that your company is recognized as a sponsor and supporter of cutting-edge research.
By publishing validated outcomes from product evaluations and applied studies, your innovations gain credibility within the scientific community – while at the same time strengthening your reputation in the market. This dual impact positions your company not only as a provider of high-quality products but also as a visible partner in advancing science and technology.
We accompany the entire publication process – from study design and data analysis to manuscript preparation, visualization, and submission – ensuring the highest academic standards and compliance with journal-specific guidelines.
Grant Application
Our experience working in publicly funded projects, will help to design or optimize your grant applications and maximizing the chance for success.
Research Design
We are experienced in fields like psychology and computer science. Thus, we pair current methodological designs and practices with efficient implementation.
Ethical Approval
Let us ensure your project gets an ethical approval effectively and efficiently
Scientific Exploitation & White Papers
Get accurate and reliable research results by using scientific methods by professionals.
Profiles & Publications
Our applied studies transition into peer-reviewed output – ensuring scientific visibility and credibility for sponsored research. Explore our profiles and a curated list of publications.
Scientific Publications
- Gouverneur, P., Li, F., Luebke, L., Szikszay, T. M., Roelen, S. D., Krajewski, J., Luedtke, K. & Grzegorzek, M. (2025). eVAS: A user-friendly electronic Visual Analogue Scale. In Journal of Open Source Software 107(10), 6876–6876. https://doi.org/10.21105/joss.06876
- Hiß, I. C., Krajewski, J., Canzler, U., Leonhardt, S., Weiss, C., Clemens, B., & Habel, U. (2025). Detection of Schizophrenia Spectrum Disorder and Major Depression Disorder Using Automated Speech Analysis. IEEE Transactions on Affective Computing, 1–12. https://doi.org/10.1109/TAFFC.2025.3564531
- Hsu, C.-C., Krajewski, J., & Felfe, J. (2025). Voice of leadership: Prosodic features as predictors of leadership perception. Psychology of Leaders and Leadership, 28(1), 45–64. https://doi.org/10.1037/mgr0000166
- Roelen, S. D., Krajewksi, J., Zervos, M., Schäfer, R., Karger, A., Sümmerman, G., Mishra, A., El-Khachen, D., Wessely, M., & Schnieder, S. (2025). PROXIMITY ACROSS DIS-TANCE: A SMART GLOVE-SLEEVE SYSTEM FOR THE TRANSMISSION OF TOUCH. Psychological Applications and Trends 2025. Psychological Applications and Trends 2025. https://doi.org/10.36315/2025inpact072
- Warule, P., Mishra, S. P., Deb, S., & Krajewski, J. (2025). Time-frequency analysis of speech signals using the Stockwell transform for the detection of upper respira-tory tract infection. Applied Acoustics, 228, 110339. https://doi.org/10.1016/j.apacoust.2024.110339
- Bauer, J. F., Gerczuk, M., Schindler-Gmelch, L., Amiriparian, S., Ebert, D. D., Krajewski, J., Schuller, B., & Berking, M. (2024). Validation of Machine Learning-Based As-sessment of Major Depressive Disorder from Paralinguistic Speech Characteris-tics in Routine Care. Depression and Anxiety, 2024(1), 9667377. https://doi.org/10.1155/2024/9667377
- Holsteg, S., Askeridis, J. M., Krajewski, J., Mildner, P., Freitag, S., Müller, T., Schnieder, S., Gieselmann, A., & Karger, A. (2024). Virtual reality roleplays for patients with de-pression: A user experience evaluation. Internet Interventions, 35, 100713. https://doi.org/10.1016/j.invent.2024.100713
- Hsu, C. C., Krajewski, J., & Felfe, J. (2024a). How Speech Prosody Affects Leadership Perceptions: A Machine Learning Approach. In International Journal of Organiza-tional Leadership, 13(2). https://doi.org/10.33844/ijol.2024.60423
- Hsu, C. C., Krajewski, J., & Felfe, J. (2024b). Prediction of Perceived Leadership Using Speech Features: A Literature Review. In North American Journal of Psychology, 26(1), 191–212).
- Kannen, K., Azimi, Z., Saif-Ur-Rehman, M., Roelen, S. D., Schnieder, S., Holsteg, S., Karger, A., Mildner, P., Piesk, J., & Krajewski, J. (2024). Design and development of a speech-based diary for depression relapse prevention. In Psychological Appli-cations and Trends 2024. inScience Press. https://doi.org/10.36315/2024inpact084
- Warule, P., Mishra, S. P., Deb, S., & Krajewski, J. (2024). “You don’t sound well, you should take the day off”: Automatic detection of upper respiratory tract infec-tions from speech using time-frequency domain deep convolutional neural net-work. Applied Acoustics, 220, 109980. https://doi.org/10.1016/j.apacoust.2024.109980
- Weiss, C., Hiß, I., Clemens, B., Habel, U., Canzler, U., Krajewski, J., Leonhardt, S., & Lüken, M. (2024). Feasibility of unobtrusive camera-based heart rate extraction in a clinical interview scenario. Biomedical Signal Processing and Control, 96, 106582. https://doi.org/10.1016/j.bspc.2024.106582
- Balcheva, D., Beyer, L., Böhm-Fischer, A., Martina, B., Epping, L., Gahleitner, S. B., Gro-ße, L., Krajewksi, J., Naroska, E., & Schnieder, S. (2023). TraM–Traumatisierte minderjährige Geflüchtete verstehen und unterstützen: Ergebnisse eines inter-disziplinären Entwicklungsprojekts. Logos.
- Bühren, M., Habermann, L., Epping, L., Schanowski, J., Mitrevski, A., Stolarz, M., Krajewski, J., Plöger, P., & Röttgers, H. R. (2023). Assistenzroboter zur Unterstüt-zung autistischer Kinder: Lerndatenerhebung zur Entwicklung von Coping-Reaktionen für ein KI-basiertes Zustandserkennungssystem auf der Basis von Blickrichtung und Gesichtsmerkmalen. Tagungsband 14. Wissenschaftliche Ta-gung Autismus-Spektrum. Hrsg. Ludger Tebartz van Elst, Michele Noterdaeme.
- Deb, S., Warule, P., Nair, A., Sultan, H., Dash, R., & Krajewski, J. (2023). Detection of Common Cold from Speech Signals using Deep Neural Network. Circuits, Sys-tems, and Signal Processing, 42(3), 1707–1722. https://doi.org/10.1007/s00034-022-02189-y
- Warule, P., Mishra, S. P., Deb, S., & Krajewski, J. (2023). Sinusoidal model-based diagno-sis of the common cold from the speech signal. Biomedical Signal Processing and Control, 83, 104653. https://doi.org/10.1016/j.bspc.2023.104653
- Bühren, M., Horstmann, A. C., Mühl, L., Köppen, L., Mössing, W., Lindhaus, M., Storch, D., Krajewski, J. & Röttgers, H.-R. (2022). Digitale Fördermöglichkeiten für Kinder im autistischen Spektrum: Anforderungsanalyse für eine Online-Plattform und einen Roboter-Lernassistenten zur Unterstützung der autismusspezifischen Ver-haltenstherapie. 52. DGPs Kongress “View on/of science.”
- Campbell, E. L., Docío-Fernandez, L., García-Mateo, C., Wittenborn, A., Krajewski, J., & Cummins, N. (2022). Automatic detection of short-term sleepiness state. Se-quence-to-Sequence modelling with global attention mechanism. 6–10. https://doi.org/10.21437/SMM.2022-2
- Horstmann, A. C., Mühl, L., Köppen, L., Lindhaus, M., Storch, D., Bühren, M., Röttgers, H. R., & Krajewski, J. (2022). Important Preliminary Insights for Designing Suc-cessful Communication between a Robotic Learning Assistant and Children with Autism Spectrum Disorder in Germany. Robotics, 11(6), 1-27. https://doi.org/10.3390/robotics11060141
- Horstmann, A. C., Mühl, L., Köppen, L., Mössing, W., Lindhaus, M., & Storch, D. (2022). AI-Enhanced Communication Between Robots and Children with Autism Spec-trum Disorder: Requirements for a Robotic Learning Assistant.
- Pilz, C. S., Clemens, B., Hiss, I. C., Weiss, C., Canzler, U., Krajewski, J., Habel, U., & Le-onhardt, S. (2022). The Face of Affective Disorders. In arXiv preprint arXiv:2208. 1369. https://doi.org/10.48550/arXiv.2208.01369
- Hemsen, B., Wittenborn, A., Holsteg, S., Karger, A., Freitag, S., Mildner, P., Piesk, J., Storch, D., Krajewski, J. & Roelen, S. D. (2021). DeepVR: konzeptuelle grundlagen und umsetzung eines virtual reality basierten unterstützungssystems in der psy-chotherapeutischen depressions-behandlung. In Proceedings of Mensch und Computer 2021, 418–425. https://doi.org/10.1145/3473856.3474016
- Hidalgo-Gadea, G., Kreuder, A., Krajewski, J., & Vorstius, C. (2021). Towards better mi-crosleep predictions in fatigued drivers: Exploring benefits of personality traits and IQ. Ergonomics, 64(6), 778–792. https://doi.org/10.1080/00140139.2021.1882707
- Horstmann, A. C., Mühl, L., Köppen, L., Storch, D., & Krajewski, J. (2021). Hey Robot, Help Me Grow Up! Requirement Analysis for a Learning Platform and a Robotic Learning Assistant to Help Children with Autism Overcome Behavioral and Social Challenges. In 12 th Media Psychology Conference (MediaPsych 2021), 214. https://doi.org/10.18154/RWTH-CONV-245951
- Martin, V. P., Rouas, J. L., Micoulaud-Franchi, J. A., Philip, P., & Krajewski, J. (2021). How to design a relevant corpus for sleepiness detection through voice? In Frontiers in Digital Health, 3, 686068–686068). https://doi.org/10.3389/fdgth.2021.686068
- Mühl, L., Horstmann, A. C., Wittenborn, A., Storch, D., & Krajewski, J. (2021). Screen Me, Smartphone! Using an AI-Screening Tool to Assist Underage Refugees in Recognizing Potential Traumatization. Proceedings of Mensch Und Computer 2021, 54–58. https://doi.org/10.1145/3473856.3474011
- Baird, A., Cummins, N., Schnieder, S., Krajewski, J., & Schuller, B. (2020). An Evaluation of the Effect of Anxiety on Speech–Computational Prediction of Anxiety from Sus-tained Vowels. In Proceedings of Interspeech, 4951–4955. http://dx.doi.org/10.21437/Interspeech.2020-1801
- Cummins, N., Sethu, V., Epps, J., Williamson, J. R., Quatieri, T. F., & Krajewski, J. (2020). Generalized Two-Stage Rank Regression Framework for Depression Score Pre-diction from Speech. IEEE Transactions on Affective Computing, 11(2), 272–283. https://doi.org/10.1109/TAFFC.2017.2766145
- Daxberger, D., Lindhaus, M., Großmann, I., Krajewski, J., & Schnieder, S. (2020). Con-trolled trail in senior care homes. Psychophysiological effectiveness evaluation of a chronobiologically adapted light management system. In Empirische Evalua-tionsmethoden Band 24 Workshop, 2019, 19–19).
- Reichel, U. D., Triantafyllopoulos, A., Oates, C., Huber, S., & Schuller, B. (2020). Spoken Language Identification by Means of Acosutic Mid-level Descriptors. Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020, 125-132.
- Demmer, J., Kitzig, A., Schlage, N., Stockmanns, G., & Naroska, E. (2020). Knetex–Development of a textile-integrated sensor system for feedback-supported rehabilitation after surgery of the anterior cruciate ligament. Current Directions in Biomedical Engineering, 6(3), 368-371.
- Gadea, G. H., Kreuder, A., Stahlschmidt, C., Schnieder, S., & Krajewski, J. (2019). Brute Force ECG Feature Extraction Applied on Discomfort Detection. In E. Pietka, P. Badura, J. Kawa, & W. Wieclawek (Eds.), Information Technology in Biomedicine, 365–376. Springer International Publishing. https://doi.org/10.1007/978-3-319-91211-0_33
- Martin, V., Rouas, J.-L., Thivel, P., & Krajewksi, J. (2019, October). Sleepiness detection on read speech using simple features. 10th Conference on Speech Technology and Human-Computer Dialogue. https://doi.org/10.1109/SPED.2019.8906577
- Schuller, B. W., Batliner, A., Bergler, C., Pokorny, F. B., Krajewski, J., Cychosz, M., Voll-mann, R., Roelen, S.-D., Schnieder, S., Bergelson, E., Cristia, A., Seidl, A., War-laumont, A. S., Yankowitz, L., Nöth, E., Amiriparian, S., Hantke, S., & Schmitt, M. (2019). The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styr-ian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity. Interspeech 2019, 2378–2382. https://doi.org/10.21437/interspeech.2019-1122
- Freiwald, J., Hoppe, M. W., Beermann, W., Krajewski, J., & Baumgart, C. (2018). Effects of supplemental heat therapy in multimodal treated chronic low back pain patients on strength and flexibility. Clinical Biomechanics, 57, 107–113. https://doi.org/10.1016/j.clinbiomech.2018.06.008
- Pilz, C. S., Zaunseder, S., Krajewski, J., & Blazek, V. (2018). Local Group Invariance for Heart Rate Estimation from Face Videos in the Wild. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 1335–13358. https://doi.org/10.1109/CVPRW.2018.00172
- Pir, D., & Krajewski, J. (2018). Relevant Acoustic Group Features for Automatic Sleepi-ness Recognition. In ICT4AWE 209–214. https://doi.org/10.5220/0006779802090214
- Ren, Z., Cummins, N., Han, J., Schnieder, S., Krajewski, J., & Schuller, B. (2018). Evalua-tion of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks. Speech Communication; 13th ITG-Symposium, 1–5. https://ieeexplore.ieee.org/abstract/document/8577994
- Pir, D., & Krajewski, J. (2018). Relevant Acoustic Group Features for Automatic Sleepiness Recognition. In ICT4AWE (pp. 209-214).
- Cummins, N., Hantke, S., Schnieder, S., Krajewski, J., & Schuller, B. (2017). Classifying the context and emotion of dog barks: A comparison of acoustic feature repre-sentations. https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/67301
- Cummins, N., Schmitt, M., Amiriparian, S., Krajewski, J., & Schuller, B. (2017). “You sound ill, take the day off”: Automatic recognition of speech affected by upper respiratory tract infection. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 3806–3809. https://doi.org/10.1109/EMBC.2017.8037686
- Deb, S., Dandapat, S., & Krajewski, J. (2017). Analysis and classification of cold speech using variational mode decomposition. In IEEE transactions on affective compu-ting, 11(2), 296–307. https://doi.org/10.1109/TAFFC.2017.2761750
- Golz, M., Sommer, D., Lachmann, M., Krajewski, J. (2017). Deep learning on EEG data for microsleep prediction. Current Directions in Biomedical Engineering, 3(2), 1-4.
- Golz, M., Wollner, S., Sommer, D., & Schnieder, S. (2017). EOG feature relevance determination for microsleep detection. Current Directions in Biomedical Engineering, 3(2), 261-264.
- Golz, M., Sommer, D., Krajewksi, J., & Trutschel, U. (2017). Microsleep Episodes and Related Crashes During Overnight Driving Simulations. ResearchGate, 39–45. https://doi.org/10.17077/drivingassessment.1375
- Krajewski, J., Schieder, S., & Batliner, A. (2017). Description of the Upper Respiratory Tract Infection Corpus (URTIC). In Situated interaction: 18th Annual Conference of the International Speech Communication Association (INTERSPEECH 2017), Stockholm, Sweden, 20-24 August 2017. Curran Associates, Inc.
- Pilz, C. S., Krajewski, J., & Blazek, V. (2017). On the Diffusion Process for Heart Rate Es-timation from Face Videos Under Realistic Conditions. In V. Roth & T. Vetter (Eds.), Pattern Recognition, 361–373. Springer International Publishing. https://doi.org/10.1007/978-3-319-66709-6_29
- Pilz, C. S., Zaunseder, S., Canzler, U., & Krajewski, J. (2017). Heart rate from face videos under realistic conditions for advanced driver monitoring. In Current Directions in Biomedical Engineering, 3(2), 483–487). http://dx.doi.org/10.1515/cdbme-2017-0102
- Pir, D., Brown, T., & Krajewski, J. (2017). Automatic driver sleepiness detection using wrapper-based acoustic between-groups, within-groups, and individual feature selection, 2, 196–202. International Conference on Vehicle Technology and Intel-ligent Transport Systems. SCITEPRESS. http://dx.doi.org/10.5220/0006294501960202
- Schnieder, S., Nöth, E., Batliner, A., Roelen, S. D., Brunstein, A., & Krajewski, J. (2017). Erfassung von Schläfrigkeit in Funkverkehr-gestützter Kommunikation: Sprach-signal-basierte Mustererkennungsanalyse phonetisch-linguistischer Merkmale. Deutsche Nationalbibliothek.
- Schuller, B., Steidl, S., Batliner, A., Bergelson, E., Krajewski, J., Janott, C., Amatuni, A., Casillas, M., Seidl, A., Soderstrom, M., Warlaumont, A. S., Hidalgo, G., Schnie-der, S., Heiser, C., Hohenhorst, W., Herzog, M., Schmitt, M., Qian, K., Zhang, Y., Trigeorgis, G., Tzirakis, P. & Zafeiriou, S. (2017). The INTERSPEECH 2017 compu-tational paralinguistics challenge: Addressee, cold & snoring. 3442–3446. https://doi.org/10.21437/Interspeech.2017-43
- Golz, M., Sommer, D., & Krajewski, J. (2016). Prediction of immediately occurring micro-sleep events from brain electric signals. 2(1), 149–153. https://doi.org/10.1515/cdbme-2016-0035
- Hsu, C.-C., Krajewksi, J., Felfe, J., Mrnka, J., Wiggerich, A., & Schnieder, S. (2016). “Listen, Follow me”: The Transformational Leadership Corpus (TLC). Speech Com-munication; 12. ITG Symposium, 1–5. https://ieeexplore.ieee.org/abstract/document/7776156
- Krajewski, J., Schnieder, S., Monschau, C., Titt, R., Sommer, D., & Golz, M. (2016). Large Sleepy Reading Corpus (LSRC): Applying Read Speech for Detecting Sleepiness. Speech Communication; 12. ITG Symposium, 1–4. https://ieeexplore.ieee.org/document/7776185
- Pir, D., Brown, T., & Krajewski, J. (2016). Wrapper-Based Acoustic Group Feature Selec-tion for Noise-Robust Automatic Sleepiness Classification. In Proceedings of the 4th International Workshop on Speech Processing in Everyday Environments (CHiME 2016), 78–81.
- Cummins, N., Sethu, V., Epps, J., Schnieder, S., & Krajewski, J. (2015). Analysis of acoustic space variability in speech affected by depression. Speech Communication, 75, 27-49.
- Cummins, N., Epps, J., Sethu, V., & Krajewski, J. (2015). Weighted pairwise Gaussian likelihood regression for depression score prediction. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4779–4783. https://doi.org/10.1109/ICASSP.2015.7178878
- Cummins, N., Scherer, S., Krajewski, J., Schnieder, S., Epps, J., & Quatieri, T. F. (2015a). A review of depression and suicide risk assessment using speech analysis. In Speech communication, 71, 10–49. https://doi.org/10.1016/j.specom.2015.03.004
- Cummins, N., Scherer, S., Krajewski, J., Schnieder, S., Epps, J., & Quatieri, T. F. (2015b). Depression and suicide risk assessment. T5.
- Golz, M., Sommer, D., & Krajewski, J. (2015). Driver Sleepiness Assessed by Electroen-cephalography—Different Methods Applied to One Single Data Set. Driving Assessment Conference, 8(2015). https://doi.org/10.17077/drivingassessment.1595
- Günsel, B., Cirakman, O., & Krajewski, J. (2015). Speaker emotional state classification by DPM models with annealed SMC samplers. 2015 23rd European Signal Processing Conference (EUSIPCO), 120–124. https://doi.org/10.1109/EUSIPCO.2015.7362357
- Krajewski, J., Sauerland, M., & Muessigmann, M. (2015). The effects of priming-induced social approach and avoidance goals on the exploration of goal-relevant stimuli. Social Psychology.
- Sauerland, M., Soyeaux, H. M., & Krajewski, J. (2015). The influence of dysfunctional cognitions on job-related experiences and behaviour—A cognitive-behavioural perspective. International Journal of Human Resources Development and Man-agement, 15(1), 40–53. https://doi.org/10.1504/IJHRDM.2015.069973
- Sezgin, C., Gunsel, B., & Krajewski, J. (2015). Medium term speaker state detection by perceptually masked spectral features. Speech Communication, 67, 26–41. https://doi.org/10.1016/j.specom.2014.09.002
- Cummins, N., Epps, J., Sethu, V., & Krajewski, J. (2014). Variability compensation in small data: Oversampled extraction of i-vectors for the classification of de-pressed speech. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 970–974. https://doi.org/10.1109/ICASSP.2014.6853741
- Cummins, N., Sethu, V., Epps, J., & Krajewksi, J. (2014). Probabilistic Acoustic Volume Analysis for Speech Affected by Depression. Proceedings of the Annual Confer-ence of the International Speech Communication Association. Interspeech 2014, Singapore. https://doi.org/10.21437/Interspeech.2014-311
- Honig, F., Batliner, A., Booklet, T., Stemmer, G., Nöth, E., Schnieder, S., & Krajewski, J. (2014). Are men more sleepy than women or does it only look like—Automatic analysis of sleepy speech. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 995–999. https://doi.org/10.1109/ICASSP.2014.6853746
- Hönig, F., Batliner, A., Nöth, E., Schnieder, S., & Krajewski, J. (2014a). Acoustic-prosodic characteristics of sleepy speech–between performance and interpretation.
- Hönig, F., Batliner, A., Nöth, E., Schnieder, S., & Krajewski, J. (2014b). Automatic model-ling of depressed speech: Relevant features and relevance of gender. 1248–1252. http://dx.doi.org/10.21437/Interspeech.2014-313
- Holtfort, T., & Krajewski, J. (2014). Black swans, antifragility and pattern recognition at the German stock market. Corporate Finance, 12, 513 – 515.
- Krajewski, J., Schnupp, T., Heinze, C., Schnieder, S., Laufenberg, T., Sommer, D., & Golz, M. (2014). A phonetic approach for detecting sleepiness from speech in simulat-ed Air Traffic Controller-communication. D. d. Waard et al.(Hg.): Human Factors of Systems and Technology, 147–155.
- Leder, A., Krajewski, J., & Schnieder, S. (2014) Komfortgewinn für Passagiere auf Langstreckenflügen durch den Einsatz einer nach chro-nobiologischen Erkenntnissen modifizierten LED-Kabinenbeleuchtung als Basis präventiver Jetlag-Reduktion.
- Schoss, T., & Krajewski, J. (2014). Human State Computing – Employing different feature sources of non-intrusive biosignals for pattern recognition based automatic state recognition within occupational fields of application.
- Schuller, B., Steidl, S., Batliner, A., Schiel, F., & Krajewski, J. (2014). Introduction to the Special Issue on Broadening the View on Speaker Analysis. Computer Speech and Language, 28(2), 343–345. http://dx.doi.org/10.1016/j.csl.2013.11.001
- Schuller, B., Steidl, S., Batliner, A., Schiel, F., Krajewski, J., Weninger, F., & Eyben, F. (2014). Medium-term speaker states—A review on intoxication, sleepiness and the first challenge. Computer Speech & Language, 28(2), 346–374. https://doi.org/10.1016/j.csl.2012.12.002
- Valstar, M., Schuller, B., Smith, K., Almaev, T., Eyben, F., Krajewski, J., Cowie, R., & Pantic, M. (2014). Avec 2014: 3d dimensional affect and depression recognition challenge. In Proceedings of the 4th international workshop on audio/visual emo-tion challenge, 3–10. https://doi.org/10.1145/2661806.2661807
- Valstar, M., Schuller, B. W., Krajewski, J., Cowie, R., & Pantic, M. (2014). AVEC 2014: The 4th international audio/visual emotion challenge and workshop. In Proceedings of the 22nd ACM international conference on Multimedia, 1243–1244. https://doi.org/10.1145/2647868.2647869
- Golz, M., Sommer, D., Trutschel, U., Krajewski, J., & Sirois, B. (2013). Driver Drowsiness Immediately before Crashes – A Comparative Investigation of EEG Pattern Recognition. Driving Assessment Conference, 7(2013). https://doi.org/10.17077/drivingassessment.1535
- Günsel, B., Sezgin, C., & Krajewski, J. (2013). Sleepiness detection from speech by per-ceptual features. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 788–792. https://doi.org/10.1109/ICASSP.2013.6637756
- Krajewski, J., Seiler, K., Schnieder, S. (2013). I did it my way – wie sich Erholungskompetenz messen lässt. Wirtschaftspsychologie aktuell, 4, 13-16.
- Schnieder, S., Esch, T., Takahashi, M., Stefano, G.B., Fricchione, G.L., & Krajewski J. (2013). Never feeling sleepy again? Sustainable reduction of sleepiness through relaxation in lunch break routines. Evidence-Based Complementary and Alternative Medicine.
- Schnieder, S., Stappert, S., Takahashi, M., Fricchione, G. L., Esch, T., & Krajewski, J. (2013). Sustainable Reduction of Sleepiness through Salutogenic Self-Care Pro-cedure in Lunch Breaks: A Pilot Study. Evidence-Based Complementary and Al-ternative Medicine, 2013(1), 387356. https://doi.org/10.1155/2013/387356
- Valstar, M., Schuller, B., Krajewski, J., Cowie, R., & Pantic, M. (2013). Workshop sum-mary for the 3rd international audio/visual emotion challenge and workshop (AVEC’13). Proceedings of the 21st ACM International Conference on Multime-dia, 1085–1086. https://doi.org/10.1145/2502081.2503826
- Valstar, M., Schuller, B., Smith, K., Eyben, F., Jiang, B., Bilakhia, S., & Pantic, M. (2013). Avec 2013: the continuous audio/visual emotion and depression recognition challenge. In Proceedings of the 3rd ACM international workshop on Audio/visual emotion challenge (pp. 3-10).
- Krajewski, J., Schnieder, S., Sommer, D., Batliner, A., & Schuller, B. (2012). Applying mul-tiple classifiers and non-linear dynamics features for detecting sleepiness from speech. From Neuron to Behaviour: Evidence from Behavioral Measurements, 84, 65–75. https://doi.org/10.1016/j.neucom.2011.12.021
- Krajewski, J., Schnieder, S., Sommer, D., Trutschel, U., Schnupp, T., Heinze, C., & Golz, M. (2012). Continuous Wavelet vs. Fourier Transform-based Feature Extraction for Recognizing Sleepiness from Steering Behavior.
- Pursche, T., Krajewski, J., & Moeller, R. (2012). Video-based heart rate measurement from human faces. 2012 IEEE International Conference on Consumer Electronics (ICCE), 544–545. https://doi.org/10.1109/ICCE.2012.6161965
- Sauerland, M., Felser, G., & Krajewski, J. (2012). The Effects of Incidental Ad Exposure on Consumption-Enhancing and Consumption-Critical Processes. Psychology & Marketing, 29(10), 782–790. https://doi.org/10.1002/mar.20563
- Sauerland, M., & Krajewski, J. (2012). Banner Blindness–Ein psychologischer Erklärungs-versuch. In Transfer: Werbeforschung und Praxis, 58, 4(58), 6–17.
- Schnieder, S., Krajewski, J., Esch, T., Baluch, B., & Wilhelm, B. (2012a). Just valid or even accurate? In Somnologie-Zeitschrift fur Schlafforschungund Schlafmedizin, 16(2), 106.
- Ungruh, S., Krajewski, J., & Schuller, B. (2012). Maus-und tastaturunterstützte Detektion von Schläfrigkeitszuständen. In Proceedings 48. Kongress der Deutschen Gesell-schaft für Psychologie.
- Weninger, F., Krajewski, J., Batliner, A., & Schuller, B. (2012). The Voice of Leadership: Models and Performances of Automatic Analysis in Online Speeches. IEEE Trans-actions on Affective Computing, 3(4), 496–508. https://doi.org/10.1109/T-AFFC.2012.15
- Golz, M., Sommer, D., Krajewski, J., Trutschel, U., & Edwards, D. (2011). Microsleep episodes and related crashes during overnight driving simulations.
- Golz, M., Sommer, D., Trutschel, U., Krajewski, J. (2011). Quantification of the Amount of Microsleep and its Relation to Accidents.
- Krajewski, J., Mühlenbrock, I., Schnieder, S., & Seiler, K. (2011a). Escaping Drowsiness: Models, Measures and Countermeasures. In Zeitschrift für Arbeitswissenschaft, 65(2), 97–115.
- Krajewski, J., Mühlenbrock, I., Schnieder, S., & Seiler, K. (2011b). Wege aus der müden (Arbeits-)Gesellschaft: Erklärungsmodelle, Messansätze und Gegenmaßnahmen. Zeitschrift für Arbeitswissenschaft, 65(2), 97–115. https://doi.org/10.1007/bf03373824
- Krajewski, J., Sauerland, M., & Muessigmann, M. (2011). The Effects of Priming-Induced Social Approach and Avoidance Goals on the Exploration of Goal-Relevant Stimuli. Social Psychology, 42(2), 152–158. https://doi.org/10.1027/1864-9335/a000055
- Krajewski, J., Sauerland, M., Sommer, D., & Golz, M. (2011a). Phonetic–acoustic sleepi-ness detection: A pilot study. In Somnologie-Schlafforschung und Schlafmedizin, 15, 24–31).
- Krajewski, J., Sauerland, M., Sommer, D., & Golz, M. (2011b). Phonetisch-akustische Schläfrigkeitsdetektion. Somnologie - Schlafforschung und Schlafmedizin, 15(1), 24–31. https://doi.org/10.1007/s11818-010-0497-2
- Krajewski, J., Sauerland, M., & Wieland, R. (2011). Relaxation‐induced cortisol changes within lunch breaks–an experimental longitudinal worksite field study. In Journal of Occupational and Organizational Psychology, 84(2), 382–394. https://doi.org/10.1348/096317910X485458
- Schuller, B., Steidl, S., Batliner, A., Schiel, F., & Krajewski, J. (2011). The INTERSPEECH 2011 speaker state challenge. Interspeech 2011, 3201–3204. https://doi.org/10.21437/interspeech.2011-801
- Golz, M., Sommer, D., & Krajewski, J. (2010). Intra-Subject Variability of Fatigue Estima-tion Based on Driving Variables. In World Congress on Medical Physics and Bio-medical Engineering, 1657–1660. http://dx.doi.org/10.1007/978-3-642-03882-2_439
- Golz, M., Sommer, D., Trutschel, U., & Krajewski, J. (2010). P14 Mikroschlafdichte—Eine neue Messgröße für hohe Müdigkeit. In Arbeitsmedizin Sozialmedizin Umwelt-medizin, 45(6), 321–321.
- Heinze, C., Trutschel, U., Schnupp, T., Sommer, D., Schenka, A., Krajewski, J., & Golz, M. (2010). Operator Fatigue Estimation Using Heart Rate Measures. In O. Dössel & W. C. Schlegel (Eds.), World Congress on Medical Physics and Biomedical Engi-neering, September 7—12, 2009, Munich, Germany, 930–933. Springer. https://doi.org/10.1007/978-3-642-03882-2_248
- Koeberlein, J., Krajewski, J., Schaffert, C., Wieland, R., & Moesges, R. (2010). Optimiza-tion of guidelines’sustainability by evaluating factors predicting treatment re-sponse in patients with allergic rhinitis. In Value in Health 13 (7). https://doi.org/10.1016/S1098-3015%2811%2972277-X
- Krajewski, J., Batliner, A., & Kessel, S. (2010). Comparing Multiple Classifiers for Speech-Based Detection of Self-Confidence—A Pilot Study. 2010 20th Interna-tional Conference on Pattern Recognition, 3716–3719. https://doi.org/10.1109/ICPR.2010.905
- Krajewski, J., Golz, M., Schnieder, S., Schnupp, T., Heinze, C., & Sommer, D. (2010). Detecting fatigue from steering behaviour applying continuous wavelet transform. Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research, 1–4. https://doi.org/10.1145/1931344.1931368
- Krajewski, J., & Keßel, S. (2010). Phonetisch-akustische Detektion von Selbstsicherheit: Entwicklung eines automatisierten Messverfahrens zur Personalentwicklung. Bergische Univ. Wuppertal.
- Krajewski, J., Wieland, R., & Sauerland, M. (2010). Regulating strain states by using the recovery potential of lunch breaks. Journal of Occupational Health Psychology, 15, 131-139.
- Krajewski, J., & Kessel, S. (2010). Phonetisch-akustische Detektion von Selbstsicherheit: Entwicklung eines automatisierten Messverfahrens zur Personalentwicklung (No. 2010-006). Schumpeter Discussion Papers.
- Krajewski, J., Kessel, S., Laufenberg, T., & Batliner, A. (2010a). Korrelate von Alkoholisiertheit in der Stimme: Ein phonetisch-akustischer Fit-for-Duty-Test.
- Krajewski, J., Kessel, S., Laufenberg, T., & Batliner, A. (2010b). Unfallgefährdung-P9 Kor-relate von Alkoholisiertheit in der Stimme—Ein phonetisch-akustischer Fit-for-Duty-Test. In Arbeitsmedizin Sozialmedizin Umweltmedizin, 45(6), 319.
- Krajewski, J., & Koeberlein, J. (2010). Advanced pattern recognition methods for predic-ting treatment response in patients suffering from allergic rhinitis. In Value in Health, 13(7). https://doi.org/10.1016/S1098-3015%2811%2972283-5
- Krajewski, J., Sauerland, M., & Wieland, R. (2010). Relaxation-induced cortisol changes within lunch breaks – An experimental longitudinal worksite field study. Journal of Occupational and Organizational Psychology, 1, 1-14.
- Krajewski, J., Schnupp, T., Heinze, C., Sommer, D., & Golz, M. (2010). P11 Phonetisch-akustische Stimmanalyse zur Detektion von Fahrerschläfrigkeit. In Arbeitsmedi-zin Sozialmedizin Umweltmedizin, 45(6), 320.
- Krajewski, J., Schnupp, T., Schnieder, S., Sommer, D., Heinze, C., & Golz, M. (2010). Pattern recognition methods: A novel analysis for the pupillographic sleepiness test. Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research, 1–4. https://doi.org/10.1145/1931344.1931369
- Krajewski, J., Sommer, D., Schnieder, S., Trutschel, U., & Golz, M. (2010). P10 Lenkbe-wegungen zur aufwandsarmen Bestimmung von Fahrerschläfrigkeit. In Arbeits-medizin Sozialmedizin Umweltmedizin, 45(6), 320.
- Krajewski, J., Sommer, D., Schnupp, T., Laufenberg, T., Heinze, C., & Golz, M. (2010). Applying nonlinear dynamics features for speech-based fatigue detection. Pro-ceedings of the 7th International Conference on Methods and Techniques in Be-havioral Research, 1–5. https://doi.org/10.1145/1931344.1931367
- Krajewski, J., Wieland, R., & Sauerland, M. (2010). Regulating strain states by using the recovery potential of lunch breaks. In Journal of Occupational Health Psychology, 15(2), 131. https://doi.org/10.1037/a0018830
- Schenka, C., Schnupp, T., Heinze, C., Krajewski, J., & Golz, M. (2010). The compensatory tracking task: A pattern recognition based approach for classifying vigilance. In Proceedings Measuring Behavior, 7, 470–472.
- Schnupp, T., Krajewski, J., & Golz, M. (2010). P13 Vigilanzeinschätzung durch Posturo-grafie. In Arbeitsmedizin Sozialmedizin Umweltmedizin, 45(6), 321.
- Schnupp, T., Schenka, A., Sommer, D., Golz, M., & Krajewski, J. (2010). Using postural control system measures to detect hypovigilance. In Proc 7th Int Conf Measur Behav, Eindhoven, 189–191.
- Schnupp, T., Schenka, C., Krajewski, J., & Golz, M. (2010). Data analysis of the compen-satory tracking task using computational intelligence.
- Schnupp, T., Sommer, D., Krajewski, J., & Golz, M. (2010). Data analysis of the pupillo-graphic sleepiness test utilizing computational intelligence. In Tagungsband: Symposium Vigilanz, 1, 25–28. Fachhochschule Schmalkalden.
- Schnupp, T., Sommer, D., Krajewski, J., Walther, L., & Golz, M. (2010). Testing for Vigilance by Posturography Using Recurrent Neural Networks.
- Krajewski, J., Sommer, D., Trutschel, U., Edwards, D., & Golz, M. (2009). Steering Wheel Behavior Based Estimation of Fatigue. Driving Assessment Conference, 5(2009). https://doi.org/10.17077/drivingassessment.1311
- Krajewski, J., Trutschel, U., Golz, M., Sommer, D., & Edwards, D. (2009). Estimating Fa-tigue from Predetermined Speech Samples Transmitted by Operator Communi-cation Systems. Driving Assessment Conference, 5(2009). https://doi.org/10.17077/drivingassessment.1359
- Krajewski, J., Wieland, R., Sommer, D., & Gloz, M. (2009). Fatigue in Air Traffic Commu-nication-combining Acoustic features within a Computational Intelligence Ap-proach. In 28th conference of the European Association for Aviation Psychology, 193–197.
- Krajewski, J. (2009). „Den Seinen gibt es der Herr im Schlaf “–Wie betriebliches Pau-senmanagement müdigkeitsbedingte Motivationsverluste verhindert. Zündstoff Motivation: Motivierungsmethoden Für Mitarbeiter, Führungskräfte Und Organisa-tionen, 79–112.
- Krajewski, J., Batliner, A., & Golz, M. (2009). Acoustic sleepiness detection: Framework and validation of a speech-adapted pattern recognition approach. In Behavior research methods, 41(3), 795–804. https://doi.org/10.3758/BRM.41.3.795
- Krajewski, J., Golz, M., & Sommer, D. (2009). Detecting sleepy drivers by pattern recog-nition based analysis of steering wheel behaviour. In Der Mensch im Mittelpunkt technischer Systeme, 29, 22.
- Krajewski, J., Golz, M., Sommer, D., & Wieland, R. (2009). Genetic algorithm based feature selection applied on predicting microsleep from speech. In 4th European Conference of the International Federation for Medical and Biological Engineering (pp. 184-187). Springer, Berlin, Heidelberg.
- Schnupp, T., Schenka, A., Edwards, D., Krajewski, J., & Golz, M. (2009). Is Posturography a Candidate for a Vigilance Test? In O. Dössel & W. C. Schlegel (Eds.), World Congress on Medical Physics and Biomedical Engineering, September 7—12, 2009, Munich, Germany, 388–391. Springer. https://doi.org/10.1007/978-3-642-03889-1_104
- Sommer, D., Golz, M., & Krajewski, J. (2009). Consecutive Detection of Extreme Central Fatigue. In J. Vander Sloten, P. Verdonck, M. Nyssen, & J. Haueisen (Eds.), 4th Eu-ropean Conference of the International Federation for Medical and Biological En-gineering, 243–246. Springer. https://doi.org/10.1007/978-3-540-89208-3_60
- Sommer, D., Golz, M., Schnupp, T., Krajewski, J., Trutschel, U., & Edwards, D. (2009). A measure of strong driver fatigue. In Driving Assessment Conference, 5(2009), 9–15. https://doi.org/10.17077/drivingassessment.1296
- Krajewski, J. (2008). Akustische Stimmmessung–Automatische Detektion von Befind-lichkeitszuständen. In Innovative Ansätze für die Eignungsdiagnostik, 97–108. Hogrefe.
- Krajewski, J., Batliner, A., & Wieland, R. (2008). Multiple classifier applied on predicting microsleep from speech. In 2008 19th International Conference on Pattern Recognition, 1–4. https://doi.org/10.1109/ICPR.2008.4761639
- Krajewski, J., Golz, M., Sommer, D., & Wieland, R. (2009). Genetic algorithm based feature selection applied on predicting microsleep from speech. In 4th European Conference of the International Federation for Medical and Biological Engineer-ing: ECIFMBE 2008 23–27 November 2008 Antwerp, Belgium, 184–187.
- Krajewski, J., Wieland, R., & Batliner, A. (2008). An acoustic framework for detecting fatigue in speech based human-computer-interaction. In International Confer-ence on Computers for Handicapped Persons, 54–61. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-70540-6_7
- Krajewski, J., Wieland, R., Sommer, D., & Golz, M. (2008). A speech adapted pattern recognition framework for measuring energetic states using low level descriptors and functionals. In Measuring Behavior, 2008, 178.
- Sommer, D., Golz, M., & Krajewski, J. (2008). Consecutive detection of driver’s micro-sleep events. In IFMBE Proceedings, 22, 243–247.
- Krajewski, J. (2007). Stimmbasierte akustische Schläfrigkeitsdetektion (acoustic sleepiness analysis): Eine signalverarbeitungsbasierte und mustererkennungsalgorithmengestützte Verfahrensentwicklung / vorgelegt von: Jarek Krajewski [Wuppertal].
- Krajewski, J., & Kröger, B. J. (2007). Using prosodic and spectral characteristics for sleepiness detection. In INTERSPEECH, 8, 27–31. http://dx.doi.org/10.21437/Interspeech.2007-513
- Wieland, R., & Krajewski, J. (2007). Neue Organisationsformen der Arbeit. In Handbuch der Arbeits-und Organisationspsychologie, 210–216.
- Wieland, R., Krajewski, J., & Memmou, M. (2006). Arbeitsgestaltung, Persönlichkeit und Arbeitszufriedenheit.
- Krajewski, J., & Wieland, R. (2005). Tiefenentspannungs-basierte Restauration von Beanspruchungszuständen im Arbeits-Erholungs-Zyklus. In K. sonntag (Ed.), Perso-nalmanagement und Arbeitsgestaltung: Träger von Innovation, Gesundheit und Leistung. Tagungsband: 51. Frühjahrstagung der Gesellschaft für Arbeitswissenschaft, 415–418. GfA-Press.
- Klemens, S., Wieland, R., & Krajewski, J. (2004). Fähigkeits- und führungsbezogene Risikofaktoren in der IT-Branche. In Dokumentation des, 50, 295–300.
- Krajewski, J., & Wieland, R. (2004). „Silent-Rooms “als infrastrukturelle Voraussetzun-gen eines betrieblichen Regenerationsmanagements. In W. Bungard, B. Koop, & C. Liebig (Eds.), Psychologie und Wirtschaft leben. Aktuelle Themen der Wirtschaftspsychologie in Forschung und Praxis.
- Wieland, R., Klemens, S., Scherrer, K., Timm, E., & Krajewski, J. (2004). Moderne IT-Arbeitswelt gestalten: Anforderungen, Belastungen und Ressourcen in der IT-Branche. Techniker Krankenkasse.
- Krajewski, J., & Wieland, R. (2003). Silent Room–die andere Mittagspause im Call Cen-ter. In Wirtschaftspsychologie aktuell, 4, 50–53.
- Wieland, R., & Krajewski, J. (2002). Psychische Belastung und Qualifizierung in neuen Arbeitsformen: Zeitarbeit. Berg.
Successful Projects
Aircraft Cabin Lighting
Simulating long-haul flights in a high fidelity cabin mockup
Hotel Lighting
Enhance sleep quality and well-being in hotels and spas
Light and Seasonal Affective Disorder
Long-term measurement of spectral light conditions in Portuguese rehab settings
Enhance Well-being in Retirement Homes by Adapted Light System
Long-term psychoneuro-endocrinologic evaluation of a chronobiologically adapted light system
AI-Traumatization Screening Tool
Development of a screening and support portal as an extensive psycho-social diagnostic mode for refugees
Automatic Detection of Affective Disorders
Features extraction of auditory, visual, and physiological data for diagnosis system of affective disorders
Active, Healthy Ageing and Frailty Detection
A holistic view of interrelated frailties to reduce frailty risk by improving overall well-being
Intelligent Textile Sensor Technology
Feedback-assisted rehabilitation after surgery of the anterior cruciate ligament
Pain Monitoring in Physiotherapy
Audio and facial expression based pain monitoring system
Smart Health in German Elite Sports
A contribution of German elite sport to smart health promotion
Lab Study for Smart Wearables
Health behaviour, sleep stages, and activity recognition
Corporate Health Management
Market overview, legal and technical requirement analysis, living lab study, and implementation of corporate health management programs
VR-Assisted Digital Depression Therapy
Desktop and virtual reality-supported module variants to bridge waiting times between therapy sessions and enrich ambulant therapy
VR-Based Support of Unipolar Depression
Support of acute therapy and relapse prevention in the deep psychological treatment
Driver State Monitoring for Autonomous Driving
Sudden sickness, distraction, and mind wondering detection by camera and audio based approaches for hand over situations in autonomous driving
Test Track Based ADAS Evaluation
Camera-Based Monitoring of Safety-Critical Driver Conditions
Test Track: Microsleep Intervention System
Evaluation of multiple fatigue intervention systems
Advanced Driver Assistance System: Mental Workload Detection
Multimodal physiological measurements of mental workload for evaluating ADAS
EEG, Speech, and Video-Based Vigilance Detection
Multimodal hypovigilance measures
Seating Comfort Detection
Motion Analysis for the Identification of Seating Comfort
Multi Sensor Motion Artifact Evaluation
Psychophysiological data collection (EEG, EDA, ECG)
Multimodal Pilot Selection
A predictive modelling techniques and pattern recognition-based approach
VR-Based Stress Induction
Optimize stress induction with virtual-reality scenarios
Robot Learning Assistant for Children with ASD
Computer vision-based detection of attention
Virtual Coach for Smart Ageing
Developing of emphatic dialog systems: an EU-Japanese collaboration