Improving Human Activity Recognition Performance by Data Fusion and Feature Engineering
Human activity recognition (HAR) is essential in many health-related fields. A variety of technologies based on different sensors have been developed for HAR. Among them, fusion from heterogeneous wearable sensors has been developed as it is portable, non-interventional and accurate for HAR. To be a...
Main Authors: | Jingcheng Chen, Yining Sun, Shaoming Sun |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/3/692 |
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