Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks
Author:
Affiliation:
1. Deakin University,Institute for Intelligent System Research and Innovation (IISRI),Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9869420/9869438/09869457.pdf?arnumber=9869457
Reference38 articles.
1. Creating and benchmarking a new dataset for physical activity monitoring
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4. Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening
5. Deep recurrent neural network for mobile human activity recognition with high throughput
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