Results 71 to 80 of about 3,694 (210)
ABSTRACT Aim This study aims to systematically review the real‐time prediction of yoga asanas using artificial intelligence (AI) techniques to improve the quality of life in healthy individuals. Design Systematic review. Methods A comprehensive literature review was conducted in English using the keywords ‘yoga’, ‘asana’, ‘pose’, ‘posture’, ‘machine ...
Gözde Özsezer, Gülengül Mermer
wiley +1 more source
Comparative Analysis of 1D CNN Architectures for Guitar Chord Recognition from Static Hand Landmarks
Vision-based guitar chord recognition offers a promising alternative to traditional audio-driven methods, particularly for silent practice, classroom environments, and interactive learning applications.
Rafi Abhista Naya, Evan Tanuwijaya
doaj +1 more source
This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh +11 more
wiley +1 more source
A Study of Exergame System Using Hand Gestures for Wrist Flexibility Improvement for Tenosynovitis Prevention [PDF]
Currently, as an increasing number of people have been addicted to using cellular phones, smartphone tenosynovitis has become common from long-term use of fingers for their operations.
Anggraini, Irin Tri +4 more
core +1 more source
Real-Time Posture Monitoring for Effective Exercise Using MediaPipe Python
Maintaining proper posture during exercise is crucial for preventing injuries and maximizing workout efficiency. This project aims to develop a real-time posture monitoring system using MediaPipe and OpenCV to provide instant feedback on the exercise ...
Wan Izzul Wafiq Wan Noor Asmawi +1 more
doaj +1 more source
Problem statement: Lack of accessible sign language recognition technologies. Proposed approach: Vision‐based dynamic sign language recognition using MediaPipe and Enhanced Stacked LSTM. Implementation: Feature extraction, deep learning model, paraphrasing module, and virtual assistant integration.
N. Anithadevi +3 more
wiley +1 more source
On-device Real-time Custom Hand Gesture Recognition
Most existing hand gesture recognition (HGR) systems are limited to a predefined set of gestures. However, users and developers often want to recognize new, unseen gestures. This is challenging due to the vast diversity of all plausible hand shapes, e.g.
Grundmann, Matthias +7 more
core
Implementation of a Biologically Inspired Responsive Joint Attention System for a Social Robot
This work introduces a responsive joint attention system in the social robot Mini, enabling dynamic, human‐like responses based on the user's head, body, and gaze. The system enhances user engagement and robot responsiveness. An experiment reveals significant improvements in social presence when the system is active, validating its effectiveness in ...
Jesús García‐Martínez +4 more
wiley +1 more source
An interactive haptic system combining a robotic hand with a wearable tactile feedback device is presented. Driven by vision recognition, the robotic hand captures force and temperature data using multiple sensors and transmits the feedback to the user via hydraulic actuation.
Jingu Jeong +3 more
wiley +1 more source
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

