A Novel Energy-Efficient Approach for Human Activity Recognition
In this paper, we propose a novel energy-efficient approach for mobile activity recognition system (ARS) to detect human activities. The proposed energy-efficient ARS, using low sampling rates, can achieve high recognition accuracy and low energy consumption. A novel classifier that integrates hiera...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-09-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/17/9/2064 |