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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.