Non-field-of-view acoustic target estimation in complex indoor environment

Takami, K; Furukawa, T; Kumon, M; Dissanayake, G

Non-field-of-view acoustic target estimation in complex indoor environment

Takami, K Furukawa, T Kumon, M Dissanayake, G

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Publication Type:: Conference Proceeding
Citation:: Springer Tracts in Advanced Robotics, 2016, 113 pp. 577 - 592
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Takami, K	en_US
dc.contributor.author	Furukawa, T	en_US
dc.contributor.author	Kumon, M	en_US
dc.contributor.author	Dissanayake, G https://orcid.org/0000-0002-7992-0680	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	Springer Tracts in Advanced Robotics, 2016, 113 pp. 577 - 592	en_US
dc.identifier.isbn	9783319277004	en_US
dc.identifier.issn	1610-7438	en_US
dc.identifier.uri	http://hdl.handle.net/10453/88557
dc.description.abstract	© Springer International Publishing Switzerland 2016. This paper presents a new approach which acoustically localizes a mobile target outside the Field-of-View (FOV), or the Non-Field-of-View (NFOV), of an optical sensor, and its implementation to complex indoor environments. In this approach, microphones are fixed sparsely in the indoor environment of concern. In a prior process, the Interaural Level Difference IID of observations acquired by each set of two microphones is derived for different sound target positions and stored as an acoustic cue. When a newsound is observed in the environment, a joint acoustic observation likelihood is derived by fusing likelihoods computed from the correlation of the IID of the new observation to the stored acoustic cues. The location of the NFOVtarget is finally estimated within the recursive Bayesian estimation framework. After the experimental parametric studies, the potential of the proposed approach for practical implementation has been demonstrated by the successful tracking of an elderly person needing health care service in a home environment.	en_US
dc.relation.ispartof	Springer Tracts in Advanced Robotics	en_US
dc.relation.isbasedon	10.1007/978-3-319-27702-8_38	en_US
dc.subject.classification	Industrial Engineering & Automation	en_US
dc.title	Non-field-of-view acoustic target estimation in complex indoor environment	en_US
dc.type	Conference Proceeding
utslib.citation.volume	113	en_US
utslib.for	0913 Mechanical Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	113	en_US

Abstract:

© Springer International Publishing Switzerland 2016. This paper presents a new approach which acoustically localizes a mobile target outside the Field-of-View (FOV), or the Non-Field-of-View (NFOV), of an optical sensor, and its implementation to complex indoor environments. In this approach, microphones are fixed sparsely in the indoor environment of concern. In a prior process, the Interaural Level Difference IID of observations acquired by each set of two microphones is derived for different sound target positions and stored as an acoustic cue. When a newsound is observed in the environment, a joint acoustic observation likelihood is derived by fusing likelihoods computed from the correlation of the IID of the new observation to the stored acoustic cues. The location of the NFOVtarget is finally estimated within the recursive Bayesian estimation framework. After the experimental parametric studies, the potential of the proposed approach for practical implementation has been demonstrated by the successful tracking of an elderly person needing health care service in a home environment.

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http://hdl.handle.net/10453/88557