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SenseCollect: We Need Efficient Ways to Collect On-body Sensor-based Human Activity Data!

Talkat UbiComp 2021 · 2021-09-21..09-26· [data-engineering, machine-learning]
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SenseCollect implements a smartwatch app and laptop UI, runs control-variable experiments, and produces 240+ subjects across deployments to test collection protocols. Key claims: monitoring by researchers is unnecessary, paying for data quality and quantity yields usable recordings, and real-time sensing feedback (visual traces on laptop/smartglasses) plus breaks and music improve quality. The team collects 192 hours from 32 participants in one week and then 113 participants in a follow-up, and releases the resulting datasets.

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