Results 71 to 80 of about 4,892 (216)
Segmentation of word gestures in sign language video
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 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 +4 more
wiley +1 more source
Bike Fitting System Based on Digital Image Processing on Road Bike
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 +3 more
doaj +1 more source
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 +5 more
wiley +1 more source
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 +2 more
wiley +1 more source
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 +8 more
wiley +1 more source
Sign language to text translation using Python with LSTM neural networks
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 +2 more
doaj +1 more source
AirCanvas using OpenCV and MediaPipe
Human-Computer Interaction (HCI) has undergone significant transformations with the advent of Artificial Intelligence (AI) and Machine Learning (ML), enhancing the ways in which users engage with computing systems. This paper introduces AirCanvas, a novel hands-free digital interaction tool that leverages air gestures for intuitive and seamless ...
openaire +1 more source
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 +7 more
wiley +1 more source
Implementation of Hand Movement Tracking for Real-Time Sign Language Translation
This study developed a real-time American Sign Language (ASL) sign language identification and interpretation system based on deep learning. The system used two data sources: the ASL alphabet dataset for individual character recognition and the WLASL ...
Bernardus Anggodho Aryudhawan Hadi +2 more
doaj +1 more source

