Gesture Recognition
118 papers with code • 13 benchmarks • 14 datasets
Gesture Recognition is an active field of research with applications such as automatic recognition of sign language, interaction of humans and robots or for new ways of controlling video games.
Source: Gesture Recognition in RGB Videos Using Human Body Keypoints and Dynamic Time Warping
Benchmarks
These leaderboards are used to track progress in Gesture Recognition
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Libraries
Use these libraries to find Gesture Recognition models and implementationsDatasets
Aff-Wild
DVS128 Gesture
SHREC
Jester (Gesture Recognition)
TCG
Latest papers
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs
Moreover, we show that our MHSA depth-first tiling scheme reduces the memory peak by up to 6. 19x, while the fused-weight attention can reduce the runtime by 1. 53x, and number of parameters by 25%.
Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition
mx-ethan-rao/robotic_gesture_tools
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Purpose: Surgical video is an important data stream for gesture recognition.
BdSLW60: A Word-Level Bangla Sign Language Dataset
Sign language discourse is an essential mode of daily communication for the deaf and hard-of-hearing people.
WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework
This uncertainty, resulting from noise and domains, leads to widely scattered and irregular data distributions in collected Wi-Fi sensing data.
CASTER: A Computer-Vision-Assisted Wireless Channel Simulator for Gesture Recognition
In the proposed CASTER simulator, however, the training dataset can be simulated via existing videos.
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder
New subjects only demonstrate the single component gestures and we seek to extrapolate from these to all possible single or combination gestures.
GRLib: An Open-Source Hand Gesture Detection and Recognition Python Library
Hand gesture recognition systems provide a natural way for humans to interact with computer systems.
User Training with Error Augmentation for Electromyogram-based Gesture Classification
neu-spiral/emg-feedback-user-training
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We designed and tested a system for real-time control of a user interface by extracting surface electromyographic (sEMG) activity from eight electrodes in a wrist-band configuration.
SynthoGestures: A Novel Framework for Synthetic Dynamic Hand Gesture Generation for Driving Scenarios
Creating a diverse and comprehensive dataset of hand gestures for dynamic human-machine interfaces in the automotive domain can be challenging and time-consuming.
Multi-stage Factorized Spatio-Temporal Representation for RGB-D Action and Gesture Recognition
RGB-D action and gesture recognition remain an interesting topic in human-centered scene understanding, primarily due to the multiple granularities and large variation in human motion.
