CTRL-Labs: Hand Activity Estimation and Real-time Control from Neuromuscular Signals

Michael T. Astolfi
Michael T. Astolfi
Mason Remaley
Mason Remaley
Adam Berenzweig
Adam Berenzweig
Tudor Giurgica-Tiron
Tudor Giurgica-Tiron

CHI Extended Abstracts, pp. 1-4, 2018.

Cited by: 1|Views5
EI

Abstract:

CTRL-Labs has developed algorithms for determination of hand movements and forces and real-time control from neuromuscular signals. This technology enables users to create their own control schemes at run-time -- dynamically mapping neuromuscular activity to continuous (real-valued) and discrete (categorical/integer-valued) machine-input ...More

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