Hierarchical Activity Recognition Using Smart Watches and RGB-Depth Cameras
Human activity recognition is important for healthcare and lifestyle evaluation. In this paper, a novel method for activity recognition by jointly considering motion sensor data recorded by wearable smart watches and image data captured by RGB-Depth (RGB-D) cameras is presented. A normalized cross c...
Main Authors: | Zhen Li, Zhiqiang Wei, Lei Huang, Shugang Zhang, Jie Nie |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-10-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/16/10/1713 |
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