Zenan Jiang

Papers

Total Citations

119

H-Index

About

Zenan Jiang is a leading innovator at the intersection of wearable technology, soft robotics, and machine learning. His most influential work centers on developing intelligent textile-based interfaces that bridge the gap between human dexterity and digital systems. Jiang’s landmark 2024 paper, "Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves," has already garnered 119 citations, underscoring its transformative impact. In this study, he introduced a stretchable smart glove embedded with sensors and powered by machine learning algorithms, capable of precisely capturing intricate hand gestures and object manipulations in real time. This breakthrough enables applications ranging from immersive virtual reality control and robotic teleoperation to advanced prosthetics and rehabilitation monitoring. By combining flexible materials with adaptive AI, Jiang has overcome longstanding challenges in wearable sensing—such as signal noise and motion artifact—paving the way for more natural, intuitive human-machine interaction. His work not only advances fundamental research in soft electronics but also offers practical, scalable solutions for next-generation assistive technologies. Jiang’s contributions are shaping a future where clothing itself becomes a seamless interface for digital and physical worlds.