Comparing Cross-Subject Performance on Human Activities Recognition Using Learning Models
Human activities recognition (HAR) plays a vital role in fields like ambient assisted living and health monitoring, in which cross-subject recognition is one of the main challenges coming from the diversity of various users. Although recent studies have achieved satisfactory results in a non-cross-s...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9878329/ |
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