FaceOri: Tracking Head Position and Orientation Using Ultrasonic Ranging on Earphones


Face orientation can often indicate users’ intended interaction target. In this paper, we propose FaceOri, a novel face tracking technique based on acoustic ranging using earphones. FaceOri can leverage the speaker on a commodity device to emit an ultrasonic chirp, which is picked up by the set of microphones on the user’s earphone, and then processed to calculate the distance from each microphone to the device. These measurements are used to derive the user’s face orientation and distance with respect to the device. We conduct a ground truth comparison and user study to evaluate FaceOri’s performance. The results show that the system can determine whether the user orients to the device at a 93.5% accuracy within a 1.5 meters range. Furthermore, FaceOri can continuously track the user’s head orientation with a median absolute error of 10.9 mm in the distance, 3.7◦ in yaw, and 5.8◦ in pitch. FaceOri can allow for convenient hands-free control of devices and produce more intelligent context-aware interaction.

Yuntao Wang
Tsinghua University, Beijing, China
Jiexin Ding
Tsinghua University, Beijing, China
Ishan Chatterjee
University of Washington, Seattle, Washington, United States
Farshid Salemi Parizi
University of Washington, Seattle, Washington, United States
Yuzhou Zhuang
Tsinghua University, Beijing, China
Yukang Yan
Tsinghua University, Beijing, China
Shwetak Patel
University of Washington, Seattle, Washington, United States
Yuanchun Shi
Tsinghua University, Beijing, China



会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Sensing

5 件の発表
2022-05-05 01:15:00
2022-05-05 02:30:00