Panawit Hanpinitsak
Papers
1
Total Citations
8
H-Index
1
About
Panawit Hanpinitsak is a researcher advancing the frontier of device-free sensing and wireless signal processing. His primary research areas encompass Wi-Fi-based motion tracking, micro-Doppler signature analysis, and non-intrusive human-computer interaction. Hanpinitsak’s most notable contribution lies in his pioneering work on hand trajectory tracking using Channel State Information (CSI) from ubiquitous Wi-Fi signals. In his highly cited 2020 paper, he demonstrated how human limb movements generate unique micro-Doppler signatures that can be extracted and analyzed to reconstruct hand gestures without any wearable devices. This breakthrough enables a new paradigm for device-free sensing, where everyday Wi-Fi infrastructure can be repurposed for precise motion detection. With 8 citations, this work has laid foundational insights for researchers exploring passive sensing technologies. Hanpinitsak’s research promises to transform applications in smart homes, healthcare monitoring, and interactive systems, offering a glimpse into a future where our environment intuitively responds to our movements—all without the need for cameras or sensors. His work exemplifies how creative signal processing can unlock hidden potential in existing wireless networks.
Research Focus
Key Achievements
Top Papers
- 1