| Presentation | 2012-07-19 Falling Detection Using Multiple Doppler Sensors Shoichiro TOMII, Tomoaki OHTSUKI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, activity recognition using Doppler sensor has been actively developed. Doppler sensor can sense human activity utilizing Doppler shift, which is the difference between the transmit frequency and received frequency. It is a palm-sized device and enables human sensing without wearable sensors. Thus, it is suitable for falling detection of the elderly. However, Doppler sensor is less sensitive to the movements orthogonal to the irradiation direction. In this report, we propose falling detecton using multiple Doppler sensors that enables detection of the multi-directional falling. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | falling detection / Doppler sensor / multiple sensors / cepstrum analysis |
| Paper # | USN2012-17 |
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| Committee | USN |
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| Conference Date | 2012/7/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Ubiquitous and Sensor Networks(USN) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Falling Detection Using Multiple Doppler Sensors |
| Sub Title (in English) | |
| Keyword(1) | falling detection |
| Keyword(2) | Doppler sensor |
| Keyword(3) | multiple sensors |
| Keyword(4) | cepstrum analysis |
| 1st Author's Name | Shoichiro TOMII |
| 1st Author's Affiliation | Graduate School of Science and Technology, Keio University() |
| 2nd Author's Name | Tomoaki OHTSUKI |
| 2nd Author's Affiliation | Department of Information and Computer science, Keio University |
| Date | 2012-07-19 |
| Paper # | USN2012-17 |
| Volume (vol) | vol.112 |
| Number (no) | 133 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |