A Close Look into Human Activity Recognition Models using Deep Learning
Author:
Affiliation:
1. Major University of Wisconsin-Eau Claire,Undergraduate Computer Science,Eau Claire,United States
2. University of Wisconsin-Eau Claire,Assistant Professor, Computer Science Dept,Eau Claire,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9813730/9814715/09814733.pdf?arnumber=9814733
Reference44 articles.
1. Human Activity Recognition via Hybrid Deep Learning Based Model
2. Sensor-Based Human Activity Recognition with Spatio-Temporal Deep Learning
3. Human Activity Recognition Based on Residual Network and BiLSTM
4. LSTM Networks for Mobile Human Activity Recognition
5. Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
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