Determining acute physiological stress levels with wearable sensors based on movement quality and exhaustion during repetitive training exercises

Author:

Jeworutzki André1

Affiliation:

1. CSTI, Hamburg University of Applied Sciences, Germany and Engineering and Computing, University of the West of Scotland, United Kingdom

Publisher

ACM

Reference42 articles.

1. F. Alamudun , J. Choi , R. Gutierrez-Osuna , H. Khan , and B. Ahmed . 2012. Removal of subject-dependent and activity-dependent variation in physiological measures of stress . In 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops. 115–122 . https://doi.org/10.4108/icst.pervasivehealth. 2012 .248722 F. Alamudun, J. Choi, R. Gutierrez-Osuna, H. Khan, and B. Ahmed. 2012. Removal of subject-dependent and activity-dependent variation in physiological measures of stress. In 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops. 115–122. https://doi.org/10.4108/icst.pervasivehealth.2012.248722

2. Biological and psychological markers of stress in humans: Focus on the Trier Social Stress Test

3. D. Anguita A. Ghio L. Oneto X. Parra and Jorge Luis Reyes-Ortiz. 2013. A Public Domain Dataset for Human Activity Recognition using Smartphones. In Esann. D. Anguita A. Ghio L. Oneto X. Parra and Jorge Luis Reyes-Ortiz. 2013. A Public Domain Dataset for Human Activity Recognition using Smartphones. In Esann.

4. Metabolic and endocrine response to exercise: sympathoadrenal integration with skeletal muscle

5. Sebastian Baumbach and Andreas Dengel. 2017. Measuring the Performance of Push-ups - Qualitative Sport Activity Recognition. https://doi.org/10.5220/0006114503740381 Sebastian Baumbach and Andreas Dengel. 2017. Measuring the Performance of Push-ups - Qualitative Sport Activity Recognition. https://doi.org/10.5220/0006114503740381

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