Activity recognition in manufacturing: the roles of motion capture and sEMG+inertial wearables in detecting fine vs gross motion
In safety-critical environments, robots need to reliably recognize human activity to be effective and trust-worthy partners. Since most human activity recognition (HAR) approaches rely on unimodal sensor data (e.g. motion capture or wearable sensors), it is unclear how the relationship between the s...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020
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| Online Access: | https://hdl.handle.net/1721.1/125890 |