Deep learning and session-specific rapid recalibration for dynamic hand gesture recognition from EMG

Deep learning and session-specific rapid recalibration for dynamic hand gesture recognition from EMG

We anticipate wide adoption of wrist and forearm electomyographic (EMG) interface devices worn daily by the same user. This presents unique challenges that are not yet well addressed in the EMG literature, such as adapting for session-specific differences while learning a longer-term model of the sp...

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Bibliographic Details
Main Authors: Maxim Karrenbach, Pornthep Preechayasomboon, Peter Sauer, David Boe, Eric Rombokas
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
electromyography-EMG
human-computer interaction (HCI)
dimensionality reduction
gesture recognition
encoder-decoder (ED) model
open hardware
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2022.1034672/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2022.1034672/full

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