Safe physical interaction with cobots: a multi-modal fusion approach for health monitoring
Bo Guo, Huaming Liu, Lei Niu · 2023
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Description
Collaborative robots working beside people must stay safe, and watching the human's body is one route. Bo Guo and co-authors present a health monitoring system that fuses camera, sound, and wearable sensor data with a Transformer model. It tracks mental workload during joint tasks, measures physical strain from wearables, and gauges muscle fatigue as work proceeds.
The fusion aims at a fuller picture than any single stream gives: how hard the task feels, how hard the body works, and how the person accepts the robot partner. Across data sets, the authors report their method beating rivals at spotting health patterns. The 2023 paper ties monitoring directly to safer physical teamwork.
Catalog record
| CREATOR | Bo Guo, Huaming Liu, Lei Niu |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 49 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |