| Paper ID | C-2-1.2 |
| Paper Title |
AGE CLASSIFICATION OF EVACUEES AT TIMES OF DISASTER USING A VIBRATION SENSOR |
| Authors |
Toru Yamashita, Futoshi Asano, Kogakuin University, Japan; Kazuhiro Nakadai, Honda Research Institute Japan, Japan |
| Session |
C-2-1: Signal and Information Processing Methods |
| Time | Wednesday, 09 December, 12:30 - 14:00 |
| Presentation Time: | Wednesday, 09 December, 12:45 - 13:00 Check your Time Zone |
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All times are in New Zealand Time (UTC +13) |
| Topic |
Signal and Information Processing Theory and Methods (SIPTM): |
| Abstract |
In this study, a method to detect children evacuating from a building at the time of a disaster using a vibration sensor is proposed. The features for detection are obtained using linear prediction, which is suitable for analyzing resonance phenomena such as speech. Subsequently, the extracted features are used in the linear discrimination analysis to discriminate between children and adults. Experimental results with 40 subjects show that the detection rate was approximately 80% in the test environment. |