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Jun 4, 2024 · Effective feature extraction and selection are crucial for the accurate classification and prediction of hand gestures based on electromyographic signals.
Jun 29, 2024 · Sign language is a visual language that uses hand shapes, facial expressions, and body movements to convey meaning. Each country or region typically has its ...
Jun 19, 2024 · By using the MPP feature selection method proposed in this study, the optimal subset of features can be filtered for different users simply and efficiently.
Nov 27, 2023 · This review provides a thorough overview of the current research in machine-learned wearable sensors for real-time hand motion recognition, highlighting cu.
Jan 18, 2024 · A commonly used method to classify these gestures is using the time domain features. ... Model Performance in Repeated Uses by Combining Feature Selection ...
Mar 1, 2024 · The paper proposes a novel scheme for force prediction and movement classification about pinch between different fingers based on surface electromyography (sEMG) ...
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Jun 27, 2024 · Smart gloves are emerging human–computer interfaces for augmented and virtual reality applications. They support finger and hand tracking, as well as gesture ...
Jun 4, 2024 · The proposed TP-DWT based sEMG signal recognition method consists of channel concatenation, feature extraction using TP-DWT network, feature selection by using ...
May 4, 2024 · It operates on the premise that similar instances are proximate, allowing the identification of new input features by calculating distances to existing sample ...
Explainable AI in human motion: A comprehensive approach to ...
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Mar 22, 2024 · The study formulates human body movement as a state-space model based on the Gesture Operational Model (GOM). Model parameters are estimated through either one- ...