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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.
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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
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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.