论文信息 - Real-time mental stress detection based on smartwatch

Real-time mental stress detection based on smartwatch

In this work we propose a real-time detection of mental stress during different cognitive tasks. Stress is classified processing Galvanic Skin Response (GSR), RR Interval and Body Temperature (BT) acquired by a commercial smartwatch. The unobtrusive system proposed is validated through clinical psychological tests.

[1] Rahul Banerjee,et al. A comparative evaluation of neural network classifiers for stress level analysis of automotive drivers using physiological signals , 2013, Biomed. Signal Process. Control..

[2] Akane Sano,et al. Stress Recognition Using Wearable Sensors and Mobile Phones , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

[3] Nilanjan Sarkar,et al. Online stress detection using psychophysiological signals for implicit human-robot cooperation , 2002, Robotica.

[4] Sabine Van Huffel,et al. Time-frequency heart rate variability characteristics of young adults during physical, mental and combined stress in laboratory environment , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5] K. W. Kallus,et al. Human Factors Analysis Using Wearable Sensors in the Context of Cognitive and Emotional Arousal , 2015 .