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A Study on the Recognition System of Faint Situation based on Bimodal Information  

So, In-Mi (원광대학교 컴퓨터공학과)
Jung, Sung-Tae (원광대학교 컴퓨터공학과)
Publication Information
Journal of Korea Multimedia Society / v.13, no.2, 2010 , pp. 225-236 More about this Journal
Abstract
This study proposes a method for the recognition of emergency situation according to the bimodal information of camera image sensor and gravity sensor. This method can recognize emergency condition by mutual cooperation and compensation between sensors even when one of the sensors malfunction, the user does not carry gravity sensor, or in the place like bathroom where it is hard to acquire camera images. This paper implemented HMM(Hidden Markov Model) based learning and recognition algorithm to recognize actions such as walking, sitting on floor, sitting at sofa, lying and fainting motions. Recognition rate was enhanced when image feature vectors and gravity feature vectors are combined in learning and recognition process. Also, this method maintains high recognition rate by detecting moving object through adaptive background model even in various illumination changes.
Keywords
Emergency Recognition; Bibmodal Information; Gravity Sensor; Faint Recognition;
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Times Cited By KSCI : 1  (Citation Analysis)
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