Improving IMU based human activity recognition using simulated multimodal representations and a MoE classifier
The lack of labeled sensor data for Human Activity Recognition (HAR) has driven researchers to synthesize Inertial Measurement Unit (IMU) data from video, utilizing the rich activity annotations available in video datasets. However, current synthetic IMU data often struggles to capture subtle, fine-...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-08-01
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| Series: | Frontiers in Computer Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fcomp.2025.1569205/full |
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