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Alyssa Kubota

2 accepted papers

2019

Activity recognition in manufacturing: The roles of motion capture and sEMG+inertial wearables in detecting fine vs. gross motion

ICRA 2019poster

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…

Cited by 66SourceScholar
2019

Wearable activity recognition for robust human-robot teaming in safety-critical environments via hybrid neural networks

IROS 2019poster

In this work, we present a novel non-visual HAR system that achieves state-of-the-art performance on realistic SCE tasks via a single wearable sensor. We leverage surface electromyography and inertial data from a low-profile wearable sensor to attain performant robot perception while remaining unobt…

Cited by 28SourceScholar