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Catch You as I Can : Indoor Localization via Ambient Sound Signature and Human Behavior
Joint Authors
Liu, Yuewei
Du, Junzhao
Gu, Yawen
Chen, Wenjing
Liu, Hui
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-26
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Localization, together with scene and human activity sensing, provides primitive and essential information for upper layer mobile applications.
In this paper, we present a novel indoor localization system.
We not only make rough localization by the use of the Wi-Fi/GSM signal, but also use the microphone of the smartphone to deeply sense the environment.
By analyzing the ambient sound and speech after voice activity detection, we can know exactly if the user appears somewhere and does something at the regulated time according to his or her schedule.
The ambient noise is used to identify the ambient scene, and we can deduce the users’ current activities by the user’s speech sensing.
Conclusively, accurate localization and the status information on the user are made by synthesizing the above sound sensing information.
And, according to the prestored schedule in the backend server, the location and sensing information are returned to the monitor who wants to know where the user is and what he is doing.
We prototype the system on Android mobile phones and evaluate the system comprehensively with data collected from 61 different indoor sites by 100 volunteers over a two-month period of experiments by employing different phone models.
We believe this is a novel approach to indoor localization, holding promise of real-world deployment.
American Psychological Association (APA)
Du, Junzhao& Chen, Wenjing& Liu, Yuewei& Gu, Yawen& Liu, Hui. 2013. Catch You as I Can : Indoor Localization via Ambient Sound Signature and Human Behavior. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-16.
https://search.emarefa.net/detail/BIM-471936
Modern Language Association (MLA)
Du, Junzhao…[et al.]. Catch You as I Can : Indoor Localization via Ambient Sound Signature and Human Behavior. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-471936
American Medical Association (AMA)
Du, Junzhao& Chen, Wenjing& Liu, Yuewei& Gu, Yawen& Liu, Hui. Catch You as I Can : Indoor Localization via Ambient Sound Signature and Human Behavior. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-16.
https://search.emarefa.net/detail/BIM-471936
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471936