Acoustic Monitoring and Localization for Social Care

Stefan Goetze; Jens Schroder; Stephan Gerlach; Danilo Hollosi; Jens-E. Appell; Frank Wallhoff

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저자정보: Stefan Goetze (Speech and Audio Technology) Jens Schroder (Speech and Audio Technology) Stephan Gerlach (Speech and Audio Technology) Danilo Hollosi (Speech and Audio Technology) Jens-E. Appell (Speech and Audio Technology) Frank Wallhoff (Speech and Audio Technology)

저널정보: Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.6 No.1

발행연도: 2012.3

수록면: 40 - 50 (11page)

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Increase in the number of older people due to demographic changes poses great challenges to the social healthcare systems both in the Western and as well as in the Eastern countries. Support for older people by formal care givers leads to enormous temporal and personal efforts. Therefore, one of the most important goals is to increase the efficiency and effectiveness of today’s care. This can be achieved by the use of assistive technologies. These technologies are able to increase the safety of patients or to reduce the time needed for tasks that do not relate to direct interaction between the care giver and the patient. Motivated by this goal, this contribution focuses on applications of acoustic technologies to support users and care givers in ambient assisted living (AAL) scenarios. Acoustic sensors are small, unobtrusive and can be added to already existing care or living environments easily. The information gathered by the acoustic sensors can be analyzed to calculate the position of the user by localization and the context by detection and classification of acoustic events in the captured acoustic signal. By doing this, possibly dangerous situations like falls, screams or an increased amount of coughs can be detected and appropriate actions can be initialized by an intelligent autonomous system for the acoustic monitoring of older persons. The proposed system is able to reduce the false alarm rate compared to other existing and commercially available approaches that basically rely only on the acoustic level. This is due to the fact that it explicitly distinguishes between the various acoustic events and provides information on the type of emergency that has taken place. Furthermore, the position of the acoustic event can be determined as contextual information by the system that uses only the acoustic signal. By this, the position of the user is known even if she or he does not wear a localization device such as a radio-frequency identification (RFID) tag.

#Acoustic monitoring #Localization #Acoustic event detection and classification #Ambient assisted living

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