Results 41 to 50 of about 4,892 (216)
Continuous Sign Language Recognition System Using Deep Learning with MediaPipe Holistic [PDF]
Wireless personal communicationsSign languages are the language of hearing-impaired people who use visuals like the hand, facial, and body movements for communication. There are different signs and gestures representing alphabets, words, and phrases.
Sharvani Srivastava +3 more
semanticscholar +1 more source
Indian Sign Language Recognition Using Mediapipe Holistic
CoRR, 2023 Deaf individuals confront significant communication obstacles on a daily basis. Their inability to hear makes it difficult for them to communicate with those who do not understand sign language. Moreover, it presents difficulties in educational, occupational, and social contexts.
Velmathi G, Kaushal Goyal
openaire +2 more sources
Engineering ReportsSign language serves as a crucial mode of communication for individuals with hearing and speech impairments. However, the lack of accessible recognition technologies continues to hinder inclusivity.
N. Anithadevi +3 more
semanticscholar +1 more source
Verification of Criterion-Related Validity for Developing a Markerless Hand Tracking Device
BiomimeticsPhysicians, physical therapists, and occupational therapists have traditionally assessed hand motor function in hemiplegic patients but often struggle to evaluate complex hand movements.
Ryota Suwabe +2 more
doaj +1 more source
A MediaPipe and CNN-Based Framework for Real-Time Sign Language Recognition and Translation [PDF]
ITM Web of ConferencesThis research is being aimed at the real-time sign language translation system developed in the absence of dedicated equipment like sensor gloves, under the sole observation of a standard camera and computer vision techniques.
More Priyanka +4 more
doaj +1 more source
PSHead: 3D Head Reconstruction from a Single Image with Diffusion Prior and Self‐Enhancement
Computer Graphics Forum, EarlyView.We introduce PSHead, a coarse‐to‐fine framework guided by both object and face priors, to produce a Gaussian‐based 3D avatar for a single frontal‐view reference image. In the coarse stage, we create an initial 3D representation by applying diffusion models trained for general object generation, using Score Distillation Sampling losses over novel views.
Jing Yang +4 more
wiley +1 more source
FaceIt: Real‐Time On‐Device Identity‐Preserving Portrait Animation
Computer Graphics Forum, EarlyView.A real‐time, on‐device algorithm for animating a single portrait image using detailed facial expressions and motions from a driving video achieving visual quality that can outperform even techniques with significantly higher computational overhead. Abstract Recently, significant progress has been made in generating expressive and temporally coherent ...
M. Dvorožňák +7 more
wiley +1 more source
Dynamic Hand Gesture Recognition Using MediaPipe and Transformer
IEEE ICEIB 2025We developed a low-cost, high-performance gesture recognition system with a dynamic hand gesture recognition technique based on the Transformer model combined with Me-diaPipe. The technique accurately extracts hand gesture key points.
Hsin-Hua Li, Chen-Chiung Hsieh
semanticscholar +1 more source
XmoPipe: A Pipeline for Large‐Scale In‐the‐Wild Human Motion Dataset Construction
Computer Animation and Virtual Worlds, Volume 37, Issue 4, July/August 2026.A scalable pipeline that automatically collects and annotates in‐the‐wild human motion videos from simple keywords, extracting 3D body and facial motion with high‐level descriptions, enabling diverse and expressive motion datasets beyond the limitations of traditional motion capture. ABSTRACT Large‐scale human motion datasets are essential for training
Nathan Salazar +3 more
wiley +1 more source
MediaPipe Hands: On-device Real-time Hand Tracking
CoRR, 2020 5 pages, 7 figures; CVPR Workshop on Computer Vision for Augmented and Virtual Reality, Seattle, WA, USA ...
Fan Zhang +6 more
openaire +2 more sources