Results 61 to 70 of about 12,878 (157)
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In this master study, the purpose is to classify different hand gestures in our database. The database consists of 6 types of gesture class and each gesture class has 50 hand images. Each type of gesture symbolizes a number from 0 to 5. The hand gesture recognition system consists of four main stages: Image enhancement, segmentation, feature extraction
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Benchmarking YOLOv8 to YOLOv13 for robust hand gesture recognition in human-robot interaction. [PDF]
Gao Y +5 more
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A Lightweight Frozen Multi-Convolution Dual-Branch Network for Efficient sEMG-Based Gesture Recognition. [PDF]
Wu S, Lv Z, Li Y, Fang C, You T, Gui J.
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Ultrasound and Unsupervised Segmentation-Based Gesture Recognition for Smart Device Unlocking. [PDF]
Wang X, Li M.
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This system demonstrates the feasibility of recognizing hand gestures by optically measuring the motion of forearm tendons. When a person moves his or her fingers (performs a gesture), there is a corresponding motion in the tendons of the wrist. Infrared sensors placed on the wrist detect this motion; the sensor output is digitized and sent wirelessly ...
Kolbeck, Carter, Wilkinson, Brad
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L-SHADE optimized learning framework for sEMG hand gesture recognition. [PDF]
Gehlot N +5 more
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Stage-specific EMG feature optimization for enhanced post-stroke hand gesture recognition. [PDF]
Mansour O +5 more
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An Inclusive Offline Learning Platform Integrating Gesture Recognition and Local AI Models. [PDF]
Drăgoi MV +6 more
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Integrating Cross-Modal Semantic Learning with Generative Models for Gesture Recognition. [PDF]
Zhai S, Dai Z, Jin Z, Qin P, Zeng J.
europepmc +1 more source

