Publikationen

2025

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://ui.adsabs.harvard.edu/link_gateway/2025JOSS...10.6876G/doi: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 DISTANCE: 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 respiratory tract infection. Applied Acoustics, 228, 110339. https://doi.org/10.1016/j.apacoust.2024.110339

2024

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 Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics 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 depression: 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 Organizational 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 Applications 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 infections from speech using time-frequency domain deep convolutional neural network. 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

2023

Balcheva, D., Beyer, L., Böhm-Fischer, A., Martina, B., Epping, L., Gahleitner, S. B., Große, L., Krajewksi, J., Naroska, E., & Schnieder, S. (2023). TraM–Traumatisierte minderjährige Geflüchtete verstehen und unterstützen: Ergebnisse eines interdisziplinären Entwicklungsprojekts. Logos.

Bühren, M., Habermann, L., Epping, L., Schanowski, J., Mitrevski, A., Stolarz, M., Krajewski, J., Plöger, P., & Röttgers, H. R. (2023). Assistenzroboter zur Unterstützung autistischer Kinder: Lerndatenerhebung zur Entwicklung von Coping-Reaktionen für ein KI-basiertes Zustandserkennungssystem auf der Basis von Blickrichtung und Gesichtsmerkmalen. Tagungsband 14. Wissenschaftliche Tagung Autismus-Spektrum. Hrsg. Ludger Tebartz van Elst, Michele Noterdaeme. https://www.hb.fh-muenster.de/opus4/frontdoor/index/index/docId/17963

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, Systems, 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 diagnosis of the common cold from the speech signal. Biomedical Signal Processing and Control, 83, 104653. https://doi.org/10.1016/j.bspc.2023.104653

2022

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 Verhaltenstherapie. 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. Sequence-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 Successful 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 Spectrum Disorder: Requirements for a Robotic Learning Assistant.

Pilz, C. S., Clemens, B., Hiss, I. C., Weiss, C., Canzler, U., Krajewski, J., Habel, U., & Leonhardt, S. (2022). The Face of Affective Disorders. In arXiv preprint arXiv:2208. 1369. https://doi.org/10.48550/arXiv.2208.01369

2021

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 psychotherapeutischen 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 microsleep 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

2020

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 Sustained 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 Prediction 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). Controlled trail in senior care homes. Psychophysiological effectiveness evaluation of a chronobiologically adapted light management system. In Empirische Evaluationsmethoden Band 24 Workshop, 2019, 19–19).

2019

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., Vollmann, R., Roelen, S.-D., Schnieder, S., Bergelson, E., Cristia, A., Seidl, A., Warlaumont, A. S., Yankowitz, L., Nöth, E., Amiriparian, S., Hantke, S., & Schmitt, M. (2019). The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity. Interspeech 2019, 2378–2382. https://doi.org/10.21437/interspeech.2019-1122

2018

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 Sleepiness Recognition. In ICT4AWE 209–214. https://doi.org/10.5220/0006779802090214

Ren, Z., Cummins, N., Han, J., Schnieder, S., Krajewski, J., & Schuller, B. (2018). Evaluation 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

2017

Cummins, N., Hantke, S., Schnieder, S., Krajewski, J., & Schuller, B. (2017). Classifying the context and emotion of dog barks: A comparison of acoustic feature representations. 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 computing, 11(2), 296–307. https://doi.org/10.1109/TAFFC.2017.2761750

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. https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/70109

Pilz, C. S., Krajewski, J., & Blazek, V. (2017). On the Diffusion Process for Heart Rate Estimation 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 Intelligent 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: Sprachsignal-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., Schnieder, S., Heiser, C., Hohenhorst, W., Herzog, M., Schmitt, M., Qian, K., Zhang, Y., Trigeorgis, G., Tzirakis, P. & Zafeiriou, S. (2017). The INTERSPEECH 2017 computational paralinguistics challenge: Addressee, cold & snoring. 3442–3446. https://doi.org/10.21437/Interspeech.2017-43

2016

Golz, M., Sommer, D., & Krajewski, J. (2016). Prediction of immediately occurring microsleep 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 Communication; 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 Selection for Noise-Robust Automatic Sleepiness Classification. In Proceedings of the 4th International Workshop on Speech Processing in Everyday Environments (CHiME 2016), 78–81.

2015

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. https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/67419

Golz, M., Sommer, D., & Krajewski, J. (2015). Driver Sleepiness Assessed by Electroencephalography—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

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 Management, 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

2014

Cummins, N., Epps, J., Sethu, V., & Krajewski, J. (2014). Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed 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 Conference 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 modelling of depressed speech: Relevant features and relevance of gender. 1248–1252. http://dx.doi.org/10.21437/Interspeech.2014-313

Krajewski, J., Schnupp, T., Heinze, C., Schnieder, S., Laufenberg, T., Sommer, D., & Golz, M. (2014). A phonetic approach for detecting sleepiness from speech in simulated 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 chronobiologisch angepasster LED-Kabinenbeleuchtung. Deutsche Gesellschaft Für Luft-Und Raumfahrt-Lilienthal-Oberth eV.

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. https://elekpub.bib.uni-wuppertal.de/ubwhsmig/content/titleinfo/3554847/full.pdf

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

Sommer, D., Schenka, A., Krajewski, J., & Golz, M. (2014). Are Smartphones Applicable for Posturography? A Classification Analysis Based on Computational Intelligence. In BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK 59, 836.

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 emotion 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

2013

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 perceptual features. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 788–792. https://doi.org/10.1109/ICASSP.2013.6637756

Schnieder, S., Stappert, S., Takahashi, M., Fricchione, G. L., Esch, T., & Krajewski, J. (2013). Sustainable Reduction of Sleepiness through Salutogenic Self-Care Procedure in Lunch Breaks: A Pilot Study. Evidence-Based Complementary and Alternative Medicine, 2013(1), 387356. https://doi.org/10.1155/2013/387356

Valstar, M., Schuller, B., Krajewski, J., Cowie, R., & Pantic, M. (2013). Workshop summary for the 3rd international audio/visual emotion challenge and workshop (AVEC’13). Proceedings of the 21st ACM International Conference on Multimedia, 1085–1086. https://doi.org/10.1145/2502081.2503826

2012

Krajewski, J., Schnieder, S., Sommer, D., Batliner, A., & Schuller, B. (2012). Applying multiple 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. https://www.semanticscholar.org/paper/Continuous-Wavelet-vs-.-Fourier-Transform-based-for-Krajewski-Schnieder/5dd0d6c0e1d68efd14e944ef25f3c7402eb92b42

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 Erklärungsversuch. 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.

Schnieder, S., Krajewski, J., Esch, T., Baluch, B., & Wilhelm, B. (2012b). Nur valide oder auch akkurat? Somnologie - Schlafforschung und Schlafmedizin, 16(2), 106–117. https://doi.org/10.1007/s11818-012-0558-9

Ungruh, S., Krajewski, J., & Schuller, B. (2012). Maus-und tastaturunterstützte Detektion von Schläfrigkeitszuständen. In Proceedings 48. Kongress der Deutschen Gesellschaft 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 Transactions on Affective Computing, 3(4), 496–508. https://doi.org/10.1109/T-AFFC.2012.15

2011

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 sleepiness 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

2010

Golz, M., Sommer, D., & Krajewski, J. (2010). Intra-Subject Variability of Fatigue Estimation Based on Driving Variables. In World Congress on Medical Physics and Biomedical 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 Umweltmedizin, 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 Engineering, 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). Optimization of guidelines’sustainability by evaluating factors predicting treatment response 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 International 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. https://nbn-resolving.org/urn:nbn:de:hbz:468-20100270

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 Korrelate 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 predicting 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., Schnupp, T., Heinze, C., Sommer, D., & Golz, M. (2010). P11 Phonetisch-akustische Stimmanalyse zur Detektion von Fahrerschläfrigkeit. In Arbeitsmedizin 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 Lenkbewegungen zur aufwandsarmen Bestimmung von Fahrerschläfrigkeit. In Arbeitsmedizin 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. Proceedings of the 7th International Conference on Methods and Techniques in Behavioral 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 Posturografie. 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 compensatory tracking task using computational intelligence. https://www.semanticscholar.org/paper/Data-analysis-of-the-compensatory-tracking-task-Schnupp-Schenka/4483456462efac7f5f8a0d819659718b639c8ab6

Schnupp, T., Sommer, D., Krajewski, J., & Golz, M. (2010). Data analysis of the pupillographic sleepiness test utilizing computational intelligence. In Tagungsband: Symposium Vigilanz, 1, 25–28. Fachhochschule Schmalkalden.

2009

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 Fatigue from Predetermined Speech Samples Transmitted by Operator Communication 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 Communication-combining Acoustic features within a Computational Intelligence Approach. 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 Pausenmanagement müdigkeitsbedingte Motivationsverluste verhindert. Zündstoff Motivation: Motivierungsmethoden Für Mitarbeiter, Führungskräfte Und Organisationen, 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 recognition based analysis of steering wheel behaviour. In Der Mensch im Mittelpunkt technischer Systeme, 29, 22.

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 European Conference of the International Federation for Medical and Biological Engineering, 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

2008

Krajewski, J. (2008). Akustische Stimmmessung–Automatische Detektion von Befindlichkeitszuständen. 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 Engineering: 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 Conference 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 microsleep events. In IFMBE Proceedings, 22, 243–247.

2007

Krajewski, J. (2007). Stimmbasierte akustische Schläfrigkeitsdetektion (acoustic sleepiness analysis): Eine signalverarbeitungsbasierte und mustererkennungsalgorithmengestützte Verfahrensentwicklung / vorgelegt von: Jarek Krajewski [Wuppertal]. http://elekpub.bib.uni-wuppertal.de/ubwhsmig/3552733

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.

2006

Wieland, R., Krajewski, J., & Memmou, M. (2006). Arbeitsgestaltung, Persönlichkeit und Arbeitszufriedenheit.

2005

Krajewski, J., & Wieland, R. (2005). Tiefenentspannungs-basierte Restauration von Beanspruchungszuständen im Arbeits-Erholungs-Zyklus. In K. sonntag (Ed.), Personalmanagement und Arbeitsgestaltung: Träger von Innovation, Gesundheit und Leistung. Tagungsband: 51. Frühjahrstagung der Gesellschaft für Arbeitswissenschaft, 415–418. GfA-Press.

2004

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 Voraussetzungen 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.

2003

Krajewski, J., & Wieland, R. (2003). Silent Room–die andere Mittagspause im Call Center. In Wirtschaftspsychologie aktuell, 4, 50–53.

2002

Wieland, R., & Krajewski, J. (2002). Psychische Belastung und Qualifizierung in neuen Arbeitsformen: Zeitarbeit. Berg.