A Novel Energy-Efficient Approach for Human Activity Recognition

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...

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Bibliographic Details
Main Authors: Lingxiang Zheng, Dihong Wu, Xiaoyang Ruan, Shaolin Weng, Ao Peng, Biyu Tang, Hai Lu, Haibin Shi, Huiru Zheng
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Sensors
Subjects:
activity recognition
low power consumption
low sampling rate
energy-efficient classifier
Online Access:https://www.mdpi.com/1424-8220/17/9/2064

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