Exploiting Machine Learning and LSTM for Human Activity Recognition: Using Physiological and Biological Sensor Data from Actigraph
Author:
Affiliation:
1. School of Computing and Engineering, University of Huddersfield,Department of Computer Science,UK
2. School of Control and Computer Engineering, North China Electric Power University,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10540646/10540608/10540940.pdf?arnumber=10540940
Reference26 articles.
1. Enhanced Complex Human Activity Recognition System: A Proficient Deep Learning Framework Exploiting Physiological Sensors and Feature Learning
2. Artificial Intelligence in Healthcare
3. Medical analytics for healthcare intelligence – Recent advances and future directions
4. Inception inspired CNN-GRU hybrid network for human activity recognition
5. Towards the Use of Machine Learning Classifiers for Human Activity Recognition Using Accelerometer and Heart Rate Data from ActiGraph
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