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...

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Bibliographic Details
Main Authors: Kubota, Alyssa (Author), Iqbal, Tariq (Author), Shah, Julie A (Author), Riek, Laurel D. (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: IEEE, 2020-06-19T18:25:06Z.
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