DVS Edition Citation

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 (7th ed.) Citation

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 Style (17th ed.) Citation

Jeworutzki, A., J. Schwarzer, K. von Luck, S. Draheim, and 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 (9th ed.) Citation

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.