Cross-position activity recognition with stratified transfer learning

Cross-position activity recognition with stratified transfer learning

Human activity recognition (HAR) aims to recognize the activities of daily living by utilizing the sensors attached to different body parts. HAR relies on the machine learning models trained using sufficient activity data. However, when the labels from a certain body position (i.e. target domain) ar...

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Bibliographic Details
Main Authors: Chen, Yiqiang, Wang, Jindong, Huang, Meiyu, Yu, Han
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering
Activity Recognition
Transfer Learning
Online Access:https://hdl.handle.net/10356/143186
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/143186

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