Yan Gan

Hunan University, University of Electronic Science and Technology of China

Papers

Total Citations

H-Index

About

Yan Gan is a pioneering researcher at the intersection of flexible electronics and artificial intelligence, whose work is driving innovation in wearable health monitoring and computer vision. Gan’s most impactful contribution is the development of wrinkle-enabled, highly stretchable strain sensors that achieve both a wide strain range and high sensitivity—a critical breakthrough for real-time, wide-range health monitoring. This work, published in 2020, has garnered 86 citations and is foundational for integrating wearable devices with big data cloud platforms, enabling continuous physiological tracking. In parallel, Gan advances computer vision with an improved attention-based spatiotemporal-stream model for action recognition in videos. By enhancing how models focus on both spatial and temporal features, this work—cited 7 times—addresses a key challenge in extracting discriminative patterns for complex motion analysis. Gan’s dual expertise in sensor hardware and intelligent algorithms positions them at the forefront of creating seamless, data-driven health and activity monitoring systems. Their research not only pushes the boundaries of flexible electronics but also bridges the gap between physical sensing and AI-powered interpretation, making a tangible impact on personalized healthcare and human-computer interaction.