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Communication Dans Un Congrès Année : 2020

Wearable wireless biosensors for spatiotemporal grip force profiling in real time

Résumé

The temporal evolution of individual grip force profiles of a novice using a robotic system for minimally invasive endoscopic surgery is analyzed on the basis of thousands of individual sensor data recorded in real time through a wearable wireless sensor glove system. The spatio-temporal grip force profiles from specific sensor locations in the dominant hand performing a four-step pick-and-drop simulator task reveal skill-relevant differences in force deployment by the small finger (fine grip force control) and the middle finger (gross grip force contribution) by comparison with the profiles of a highly proficient expert. Cross-disciplinary insight from systems neuroscience, cognitive behavioral science, and robotics, with implications for biologically inspired AI for human-robot interaction, highlight the functional significance of spatio-temporal grip force profiling.
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Dates et versions

hal-03009559 , version 1 (17-11-2020)

Identifiants

  • HAL Id : hal-03009559 , version 1

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Rongrong Liu, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp. Wearable wireless biosensors for spatiotemporal grip force profiling in real time. 7th E-Conference on Sensors and Applications ECSA2020, Nov 2020, Zürich (Webinar), Switzerland. ⟨hal-03009559⟩
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