Article

Machine Learning-Powered Hand Recognition: Techniques, Evaluation, and Open Problems

2025-05-19

Abstract excerpt

Hand recognition and analysis has emerged as a cornerstone of human-computer interaction, enabling a wide array of applications including gesture-based interfaces, sign language interpretation, virtual and augmented reality, and biometric authentication. Recent advances in machine learning, particularly deep learning, have significantly elevated the capabilities of hand recognition systems by allowing them to lear...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 34b0b607-dd17-5670-80bc-1c6fa04899bd
DOI: 10.20944/preprints202505.1465.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine Learning-Powered Hand Recognition: Techniques, Evaluation, and Open ProblemsDOI 10.20944/preprints202505.1465.v1Read

An efficient deep learning approach for human hand gesture recognitionSemantic proximity Read

Give Me A Sign: Using Data Gloves For Static Hand Shape RecognitionSemantic proximity Read

AI-Based Video Classification of QUEST Grasp Tasks in Children with Cerebral Palsy: Comparison with Therapist RatingsSemantic proximity Read

Spatial-Temporal Attention with Graph and General Neural Network-based Sign Language RecognitionSemantic proximity Read

Convolutional and Recurrent Neural Network for Human Action Recognition: application on American Sign LanguageSemantic proximity Read

A richly annotated dataset of in-context co-speech hand gestures across diverse speaker professionsSemantic proximity Read

A richly annotated dataset of in-context co-speech hand gestures across diverse speaker professionsSemantic proximity Read

Analyzing why AI struggles with drawing human hands with CLIPSemantic proximity Read

In-air Hand Gesture Signature Recognition: An iHGS Database Acquisition ProtocolSemantic proximity Read

Multiscale Wavelet Feature Extraction Integrated with CNN for Improved Gesture PredictionSemantic proximity Read

Multi-Stream Graph-based Deep Neural Networks for Skeleton-based Sign Language RecognitionSemantic proximity Read

Gesture based Sign Language Recognition system using MediapipeSemantic proximity Read