Jeworutzki, A, Schwarzer, J, von Luck, K., Draheim, S & Wang, Q. (2021). A preliminary experimental outline to train machine learning models for the unobtrusive, real-time detection of acute physiological stress levels during training exercises. In Association for Computing Machinery (Hrsg.), The 14th PErvasive Technologies Related to Assistive Environments Conference (, S. 575-584). Corfu.
APA-Zitierstil (7. Ausg.)Jeworutzki, A., Schwarzer, J., von Luck, K., Draheim, S., & Wang, Q. (2021). A preliminary experimental outline to train machine learning models for the unobtrusive, real-time detection of acute physiological stress levels during training exercises. The 14th PErvasive Technologies Related to Assistive Environments Conference, 575-584.
Chicago-Zitierstil (17. Ausg.)Jeworutzki, A., J. Schwarzer, K. von Luck, S. Draheim, und Q. Wang. "A Preliminary Experimental Outline to Train Machine Learning Models for the Unobtrusive, Real-time Detection of Acute Physiological Stress Levels During Training Exercises." The 14th PErvasive Technologies Related to Assistive Environments Conference 2021: 575-584.
MLA-Zitierstil (9. Ausg.)Jeworutzki, A., et al. "A Preliminary Experimental Outline to Train Machine Learning Models for the Unobtrusive, Real-time Detection of Acute Physiological Stress Levels During Training Exercises." The 14th PErvasive Technologies Related to Assistive Environments Conference, 2021, pp. 575-584.