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Privacy-Preserved Behavior Analysis and Fall Detection by an Infrared Ceiling Sensor Network

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/51701

Title: Privacy-Preserved Behavior Analysis and Fall Detection by an Infrared Ceiling Sensor Network
Authors: Tao, Shuai Browse this author
Kudo, Mineichi Browse this author →KAKEN DB
Nonaka, Hidetoshi Browse this author →KAKEN DB
Keywords: behavior analysis
fall detection
privacy-preserved
ceiling sensor network
infrared sensors
Issue Date: Dec-2012
Publisher: MDPI
Journal Title: Sensors
Volume: 12
Issue: 12
Start Page: 16920
End Page: 16936
Publisher DOI: 10.3390/s121216920
Abstract: An infrared ceiling sensor network system is reported in this study to realize behavior analysis and fall detection of a single person in the home environment. The sensors output multiple binary sequences from which we know the existence/non-existence of persons under the sensors. The short duration averages of the binary responses are shown to be able to be regarded as pixel values of a top-view camera, but more advantageous in the sense of preserving privacy. Using the "pixel values" as features, support vector machine classifiers succeeded in recognizing eight activities (walking, reading, etc.) performed by five subjects at an average recognition rate of 80.65%. In addition, we proposed a martingale framework for detecting falls in this system. The experimental results showed that we attained the best performance of 95.14% (F1 value), the FAR of 7.5% and the FRR of 2.0%. This accuracy is not sufficient in general but surprisingly high with such low-level information. In summary, it is shown that this system has the potential to be used in the home environment to provide personalized services and to detect abnormalities of elders who live alone.
Rights: http://creativecommons.org/licenses/by/3.0/
Type: article
URI: http://hdl.handle.net/2115/51701
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 陶 帥

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