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

Yuntao Wang, Jiexin Ding, Ishan Chatterjee, Farshid Salemi Parizi, Yuzhou Zhuang, Yukang Yan, Shwetak Patel, Yuanchun Shi
2022 pre-print
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  ...  To further compare FaceOri's performance to the inertial measurement unit (IMU) based solution, we adopted the MPU-9250 6 IMU module, which has a 3-axis accelerometer, a 3-axis gyroscope, and a 3-axis  ... 
doi:10.1145/3491102.3517698 arXiv:2203.10553v1 fatcat:dimdydw43babtkuhxfsrrypgoq

Ubiquitäre Systeme (Seminar) und Mobile Computing (Proseminar) SS 2016. Mobile und Verteilte Systeme. Ubiquitous Computing. Teil XIV

Martin Alexander [Hrsg.] Neumann, Anja [Hrsg.] Erler, Andrei [Hrsg.] Miclaus, Antonios [Hrsg.] Karatzoglou, Long [Hrsg.] Wang, Michael [Hrsg.] Beigl
2016
Smart table surface: A novel approach to pervasive dining monitoring.  ...  The presented approach uses 3-axis accelerometer and gyroscope from a smart watch to extract HR and BR from the sensor data. Each component is normalized to z-scores to even their relevance.  ... 
doi:10.5445/ir/1000062232 fatcat:rrcknw54vveibidmngtnqvw4iq

On Multi-Dimensional Privacy in Context-Aware Mobile Networks

Igor Bilogrevic
2014
application or entity that has v access to the on-device data.  ...  In this thesis, we take a top-down approach on privacy in mobile networks by (i) studying the issues present in different network layers -the application, IP and link layers -and (ii) by proposing protection  ...  The amount and diversity of data stored on mobile devices is rapidly increasing, coming from embedded sensors (such as GPSs, gyroscopes, accelerometers, barometers, hygrometers, magnetometers and thermometers  ... 
doi:10.5075/epfl-thesis-6066 fatcat:hh5viathfvgk7ljw7usxdkex2u