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dc.contributor.author최종석-
dc.contributor.author윤상석-
dc.contributor.author뉴옌반쾅-
dc.date.accessioned2021-06-09T04:17:16Z-
dc.date.available2021-06-09T04:17:16Z-
dc.date.issued2016-08-
dc.identifier.citation-766-
dc.identifier.other47930-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/65147-
dc.description.abstractThis paper presents a perception sensor network (PSN) for detect audio-based emergency situations such as human scream. The PSN consists of multiple units, each has a Kinect and a pan-tilt-zoom camera. Audio signals, which are acquired by the Kinect microphone array, are used in sound source classification and sound source localization. In order to work in multi-person scenarios, we propose an audio-visual fusion method to detect a single speaking person among multiple ones. The PSN system was demonstrated in a scenario having four persons, where the system is able to detect and localize the screaming person and send a robot to that location to check his/her condition.-
dc.publisherURAI (International Conference on Ubiquitous Robots and Ambient Intelligence)-
dc.subjectSound source localization-
dc.subjectsound classification-
dc.subjectKinect-
dc.subjectambient intelligence-
dc.titleDetection of Audio-based Emergency Situations using Perception Sensor Network-
dc.typeConference Paper-
dc.relation.page763766-
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KIST Publication > Conference Paper
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