Real-Time Gesture-Based Hand Landmark Detection for Optimized Mobile Photo Capture and Synchronization

Electronics, Journal Year: 2025, Volume and Issue: 14(4), P. 704 - 704

Published: Feb. 12, 2025

Gesture recognition technology has emerged as a transformative solution for natural and intuitive human–computer interaction (HCI), offering touch-free operation across diverse fields such healthcare, gaming, smart home systems. In mobile contexts, where hygiene, convenience, the ability to operate under resource constraints are critical, hand gesture provides compelling alternative traditional touch-based interfaces. However, implementing effective in real-world settings involves challenges limited computational power, varying environmental conditions, requirement robust offline–online data management. this study, we introduce ThumbsUp, which is gesture-driven system, employ partially systematic literature review approach (inspired by core PRISMA guidelines) identify key research gaps recognition. By incorporating insights from deep learning–based methods (e.g., CNNs Transformers) while focusing on low consumption, leverage Google’s MediaPipe our framework real-time detection of 21 landmarks adaptive lighting pre-processing, enabling accurate “thumbs-up” gesture. The system features secure queue-based offline–cloud synchronization model, ensures that captured images metadata (encrypted with AES-GCM) remain consistent accessible even intermittent connectivity. Experimental results dynamic lighting, distance variations, cluttered environments confirm system’s superior low-light performance decreased consumption compared baseline camera applications. Additionally, highlight feasibility extending ThumbsUp incorporate AI-driven enhancements abrupt changes and, future, electromyographic (EMG) signals users motor impairments. Our comprehensive evaluation demonstrates maintains typical hardware, showing resilience unstable network conditions minimal reliance high-end GPUs. These findings offer new perspectives deploying gesture-based interfaces broader IoT ecosystem, thus paving way toward secure, efficient, inclusive HCI solutions.

Language: Английский

Flexible wearable electronics for enhanced human-computer interaction and virtual reality applications

Nano Energy, Journal Year: 2025, Volume and Issue: 138, P. 110821 - 110821

Published: March 5, 2025

Language: Английский