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EarphoneTrack
- Source :
- SenSys
- Publication Year :
- 2020
- Publisher :
- ACM, 2020.
-
Abstract
- Acoustic motion tracking is an exciting new research area with promising progress in the last few years. Due to the inherent low propagation speed in the air, acoustic signals have the unique advantage of fine sensing granularity compared to RF signals. Speakers and microphones nowadays are pervasively available in devices surrounding us, such as smartphones and voice-controlled smart speakers. Though promising, one fundamental issue hindering the adoption of acoustic-based motion tracking is that the positions of microphones and speakers inside a device are fixed, which greatly limits the flexibility of acoustic motion tracking. In this work, we propose a new modality of acoustic motion tracking using earphones. Earphone-based tracking mitigates the constraints associated with traditional smartphone-based tracking. With novel designs and comprehensive experiments, we show earphone-based motion tracking can achieve a great flexibility and a high accuracy at the same time. We believe this is an important step towards "earable" sensing.
- Subjects :
- Flexibility (engineering)
Modality (human–computer interaction)
Computer science
business.industry
05 social sciences
Work (physics)
02 engineering and technology
Tracking (particle physics)
Match moving
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
0501 psychology and cognitive sciences
Computer vision
Radio frequency
Granularity
Artificial intelligence
business
050107 human factors
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 18th Conference on Embedded Networked Sensor Systems
- Accession number :
- edsair.doi...........a908a35590cd93aaa3e7a27561bc2ea4