DopEnc: Acoustic-based encounter profiling using smartphones

H Zhang, W Du, P Zhou, M Li… - Proceedings of the 22nd …, 2016 - dl.acm.org
Proceedings of the 22nd Annual International Conference on Mobile Computing …, 2016dl.acm.org
This paper presents DopEnc, an acoustic-based encounter profiling system on
smartphones. DopEnc can automatically identify the persons that users interact with in the
context of encountering. DopEnc performs encounter profiling in two major steps:(1) Doppler
profiling to detect that two persons approach and stop in front of each other via an effective
trajectory, and (2) voice profiling to confirm that they are thereafter engaged in an interactive
conversation. DopEnc is further extended to support parallel acoustic exploration of many …
This paper presents DopEnc, an acoustic-based encounter profiling system on smartphones. DopEnc can automatically identify the persons that users interact with in the context of encountering. DopEnc performs encounter profiling in two major steps: (1) Doppler profiling to detect that two persons approach and stop in front of each other via an effective trajectory, and (2) voice profiling to confirm that they are thereafter engaged in an interactive conversation. DopEnc is further extended to support parallel acoustic exploration of many users by incorporating a unique multiple access scheme within the limited inaudible acoustic frequency band. All implementation of DopEnc is based on commodity sensors like speakers, microphones and accelerometers integrated on commercial-off-the-shelf smartphones. We evaluate DopEnc with detailed experiments and a real use-case study of 11 participants. Overall DopEnc achieves an accuracy of 6.9% false positive and 9.7% false negative in real usage.
ACM Digital Library
以上显示的是最相近的搜索结果。 查看全部搜索结果

Google学术搜索按钮

example.edu/paper.pdf
搜索
获取 PDF 文件
引用
References