Results 51 to 60 of about 476 (129)

Large Language Model‐Embedded Intelligent Robotic Scrub Nurse with Multimodal Input for Enhancing Surgeon–Robot Interaction

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
A large language model (LLM)‐powered multimodal robotic scrub nurse control framework is proposed for enhancing human–robot interaction. Inside, the vision module gives out instrument class, location, and occlusion relationship. Speech module captures and converts user's speech commands.
Wing Yin Ng, Wanyu Ma, Pheng Ann Heng, Philip Wai Yan Chiu, Zheng Li   +4 more
wiley   +1 more source

Segmentation of word gestures in sign language video

Научно-технический вестник информационных технологий, механики и оптики
Despite the widespread use of automatic speech recognition and video subtitles, sign language is still a significant communication channel for people with hearing impairments.
D. Khanh, I. A. Bessmertny
doaj   +1 more source

A Systematic Review and Critical Analysis of Vision‐Based and Wearable Sensor Technologies for Hand Rehabilitation in Stroke Survivors

IET Computer Vision, Volume 20, Issue 1, January/December 2026.
This systematic review analyses 132 studies on vision‐based and wearable sensor technologies for post‐stroke hand rehabilitation. We compare systems in terms of accuracy, affordability, comfort and AI‐driven personalisation, highlighting the growing dominance of deep learning‐based vision systems.
Kamal, Debanga Raj Neog, M. K. Bhuyan, Karl F. MacDorman, Ram Kumar Karsh, Rabul Hussain Laskar   +5 more
wiley   +1 more source

Bike Fitting System Based on Digital Image Processing on Road Bike

JOIV: International Journal on Informatics Visualization
This research aims to develop a bike fitting system based on digital image processing for road bikes. The method used in this study involves using the OpenCV and MediaPipe libraries in the Python programming language to detect the rider's body pose from ...
Tigor Hamonangan Nasution, Andreas Sitohang, - Seniman, - Soeharwinto   +3 more
doaj   +1 more source

PGR‐Net: A Pedestrian Gesture Recognition Model for Effective AV‐Human Interactions in Autonomous Vehicles

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
Despite major enhancements in Automated Vehicles in traffic perception, object detection, and crash prevention, currently, the autonomous vehicles (AVs) are not able to understand pedestrian gestures and cannot socially interact with human road users (HRUs).
Alif Rizqullah Mahdi, Mahdi Rezaei, Natasha Merat   +2 more
wiley   +1 more source

AI Virtual Painter using OpenCV and Mediapipe

International Journal of Engineering Research in Computer Science and Engineering, 2022
Recognition of hand gestures has great importance for Human-computer interaction (HCI). The human hand is very small with complex junctions compared with the entire human body, hence recognizing the human hand is not an easy task. By using the hand gesture recognition the hand point/coordinates of hands can be detected using which we can make many ...
Dr. Nandagopal S, Soundarya R, Vaishnavi S, Vanisri S, Hiranya S   +4 more
openaire   +1 more source

Objective Assessment of Facial Expressions in Parkinson's Disease During Deep Brain Stimulation ON and OFF States: A Pilot Study

European Journal of Neurology, Volume 33, Issue 1, January 2026.
Schematic illustration of facial expression analysis in patients with Parkinson's disease during deep brain stimulation (DBS) ON and OFF states. DBS ON is associated with improved facial expressivity compared with the OFF state, as assessed by automated facial movement metrics.
Sefa Ozturk, Duygu Dolen, Cafer Ikbal Gulsever, Huseyin Emre Dagdeviren, Onur Ozturk, Eren Andıc, Senem Kılıc Ozturk, Ahmet Muhammet Kocabıyık, Pulat Akın Sabancı   +8 more
wiley   +1 more source

Toward Class Imbalance in Facial Pain Recognition for Transportation Safety: An Enhanced ResNet–BiLSTM Framework

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
Pain is a complex experience involving both sensations and emotions, and its accurate assessment is essential in healthcare and intelligent transportation. Where diverse traffic environments can heighten driver discomfort, leading to fatigue, reduced focus, and increased accident risk.
Zhicui Lu, Aisyah Mat Jasin, Farizuwana Akma Zulkifle, Mohd Razif Shamsuddin, Ahmad Zia Ul-Saufie, Mingyuan Fu, Jiaqi Zhao, Mohammad Rezwan Habib   +7 more
wiley   +1 more source

Real‐Time Recognition of Dynamic Gestures in Pakistan Sign Language Using YOLO and LSTM Networks

Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
Sign language is a primary communication modality for many deaf and hard‐of‐hearing individuals, yet many recognition systems remain limited by static‐gesture assumptions and weak generalization to realistic acquisition variability. This paper presents a real‐time dynamic Pakistan Sign Language (PSL) gesture recognition framework that combines YOLOv8 ...
Tabassum Kanwal, Rehan Mehmood Yousaf, Saud Altaf, Shujaat Ali, Dilawar Shah, Muhammad Tahir, Gurvinder S. Virk   +6 more
wiley   +1 more source

Sign language to text translation using Python with LSTM neural networks

Revista Colombiana de Tecnologías de Avanzada
There is a difficulty that deaf people with speech disabilities face in communicating effectively with those who do not know sign language. Despite the existence of methods such as writing and lip-reading, these have limitations and are not always ...
Luis Duván Torrado Mora, César Alberto Collazos, Dewar Rico Bautista   +2 more
doaj   +1 more source