Emotion Recognition of Physical Activities for Health Monitoring Using Machine Learning
Author:
Affiliation:
1. School of Microelectronics, Shanghai University,Shanghai,China
2. Cognitive Robotics, TU Delft,Delft,Netherlands
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10090225/10090247/10090279.pdf?arnumber=10090279
Reference9 articles.
1. Choosing multiple parameters for support vector machines;olivier;Machine Learning,2002
2. Cross-Domain Classification of Physical Activity Intensity: An EDA-Based Approach Validated by Wrist-Measured Acceleration and Physiological Data;angelica;Electronics,2021
3. Human emotion recognition and analysis in response to audio music using brain signals;adnan mehmood;Computers in Human Behavior,2016
4. Electrical autonomic correlates of emotion;henrique;International Journal of Psychophysiology,2009
5. A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors
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