CS Student Published in Top Mobile and Wireless Computing Conference
Fourth year PhD student, Sheng Tan, has been conducting research in mobile and pervasive computing as his dissertation topic under the guidance of Prof. Jie Yang. His recent work on wireless sensing has been published in a paper, titled “WiFinger: Leveraging Commodity WiFi for Fine-grained Finger Gesture Recognition” and co-authored with Prof. Jie Yang in ACM Mobihoc 2016, a top tier conference in the Mobile and Wireless Computing area.
In the paper, Sheng proposed a finger gesture recognition system by using a single commodity WiFi device without requiring user to wear any sensors. The proposed system is easily deployable on existing WiFi devices without using any dedicated or specialized hardware. Experimental evaluation in both home and office environments demonstrates that WiFinger can achieve over 93% recognition accuracy and is robust to both environment changes and individual diversity. Results also show that it can work with WiFi beacon signals and provides accurate gesture recognition under non-line-of-sight (NLOS) scenarios.