Gesture Recognition
13개 벤치마크 · 논문 630편 · 이 태스크의 논문 보기 →
Benchmarks
DVS128 Gesture
CapgMyo DB-a
CapgMyo DB-b
CapgMyo DB-c
ChaLearn 2013
ChaLearn 2016
Chalearn 2014
GesturePod
MSRC-12
Montalbano
Ninapro DB-1 12 gestures
Ninapro DB-1 8 gestures
Most implemented
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
Using Deep Convolutional Networks for Gesture Recognition in American Sign Language
Cloud Dictionary: Sparse Coding and Modeling for Point Clouds
Recognizing Surgical Activities with Recurrent Neural Networks
HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition
Papers
SafeGesture: Evaluating Fine-Grained Hand Gesture Understanding in Vision-Language Models through Scenario-Conditioned Safety Interpretation
Open-weight and frontier vision-language models (VLMs) perform well on general image understanding, but their ability to interpret fine-grained hand gestures in safety-critical operational contexts remains largely unexam…
Gesture RecognitionA Montage-Agnostic Encoder for Calibration-Light Cross-User Gesture Recognition from Surface Electromyography
Pattern-recognition control promises a myoelectric prosthesis that responds to many intended gestures rather than one or two, but the promise has stayed in the laboratory. A recogniser trained on one person rarely transf…
Gesture RecognitionConservative Subject Invariant EMG-based Gesture Recognition
Cross-subject generalization remains a fundamental challenge in surface electromyography (sEMG)-based gesture recognition. Although deep learning methods have improved within-subject performance, they often rely on subje…
Gesture RecognitionMetric LearningLLM-Powered Interactive Robotic Action Synthesis from Multimodal Speech, Gestures, and Music
The quest for intuitive and natural human-robot interaction (HRI) remains a significant challenge in robotics. Traditional methods often rely on rigid, pre-programmed commands that limit the robot's expressiveness and ad…
Gesture RecognitionPGUDA: Pressure-Guided Unsupervised Domain Adaptation with Cross-Modal Knowledge Distillation for sEMG-Based Gesture Recognition
Surface electromyography (sEMG)-based gesture recognition has emerged as a promising technology for natural human-computer interaction. However, its practical deployment remains challenging due to severe performance degr…
Unsupervised Domain AdaptationRepresentation LearningKnowledge DistillationGesture RecognitionTemporal Posed and Spontaneous Gesture Recognition from Electromyography in the Rock-Paper-Scissors Game
The importance of gesture recognition has been acknowledged in many domains requiring real-time recognition systems. Two requirements for these are fast recognition in multiuser contexts. Therefore, we explored the tempo…
Gesture RecognitionIntent Recognition