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: | 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: | |
Online Access: | https://www.mdpi.com/1424-8220/17/9/2064 |
Similar Items
-
A Hand Gesture Recognition Circuit Utilizing an Analog Voting Classifier
by: Vassilis Alimisis, et al.
Published: (2022-11-01) -
Single-Sample Face Recognition Based on Shared Generative Adversarial Network
by: Yuhua Ding, et al.
Published: (2022-02-01) -
Face recognition algorithm based on cascade sparse representation-based classifier
by: YANG Yu
Published: (2014-05-01) -
Emotional Speech Recognition Based on the Committee of Classifiers
by: Dorota Kamińska
Published: (2019-09-01) -
Low energy split-cluster wireless acceleration sensors for motion and posture change recognition in sports
by: Yunlong Tong, et al.
Published: (2023-08-01)