On Training Strategies for LSTMs in Sensor-Based Human Activity Recognition
Author:
Affiliation:
1. University of Warwick,Department of Computer Science,Coventry,UK
2. School of Computing, Newcastle University,Newcastle upon Tyne,UK
3. School of Interactive Computing, Georgia Institute of Technology,Atlanta,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10149845/10150216/10150305.pdf?arnumber=10150305
Reference27 articles.
1. Deep Learning for Human Activity Recognition in Mobile Computing
2. Deep, convolutional, and recurrent models for human activity recognition using wearables;hammerla;IJCAI,2016
3. Feature learning for activity recognition in ubiquitous computing;plötz;ser IJCAI'11,2011
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