Mayank Goel
Papers
1
Total Citations
22
H-Index
1
About
Mayank Goel is a leading researcher at the intersection of human-computer interaction, wearable sensing, and ubiquitous computing. His work centers on developing practical, unobtrusive systems that infer human intent and physiology from subtle biological signals. Goel’s most notable contribution is EITPose, a wrist-worn system that uses electrical impedance tomography (EIT) to continuously estimate 3D hand poses in real time. By modeling the interior of the forearm with just eight electrodes, EITPose achieves a breakthrough in wearable gesture recognition—enabling applications in gaming, robotics, and hands-free interaction without requiring cameras or bulky sensors. This work, published in 2024, has already garnered 22 citations, signaling its rapid impact. Beyond EITPose, Goel’s research spans smart eyewear, acoustic sensing, and privacy-preserving health monitoring, consistently pushing the boundaries of what wearable devices can infer. His work is distinguished by its focus on practical, deployable solutions that respect user privacy and comfort. For students and researchers, Goel exemplifies how creative sensing and signal processing can transform everyday wearables into powerful tools for understanding and augmenting human capability.
Research Focus
Key Achievements
Top Papers
- 1