FaceOri: Tracking Head Position and Orientation Using Ultrasonic Ranging on Earphones
March 20, 2022 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
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Authors
Yuntao Wang, Jiexin Ding, Ishan Chatterjee, Farshid Salemi Parizi, Yuzhou Zhuang, Yukang Yan, Shwetak Patel, Yuanchun Shi
arXiv ID
2203.10553
Category
cs.HC: Human-Computer Interaction
Citations
32
Venue
International Conference on Human Factors in Computing Systems
Last Checked
3 months ago
Abstract
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 degrees in yaw, and 5.8 degrees in pitch. FaceOri can allow for convenient hands-free control of devices and produce more intelligent context-aware interaction.
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