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Li et al., 2022 - Google Patents

EMG-based HCI using CNN-LSTM neural network for dynamic hand gestures recognition

Li et al., 2022

Document ID
9590027971746312121
Author
Li Q
Langari R
Publication year
Publication venue
IFAC-PapersOnLine

External Links

Snippet

Human-computer interaction (HCI) has a broad range of applications. Many HCI systems are based on bio-signal analysis and classification. The surface electromyographic (sEMG) signal is one of the most used signals that are formed by muscle activation although the …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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