| Presentation | 2018-06-02 Arbitrary Location Estimation Using Infrared Sensors by Machine Learning Ryo Ota, Qiangfu Zhao, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper is an extension of our earlier study related to construction of a resident-friendly smart home, while protecting residents’ privacy. To protect privacy, we install passive infrared sensors in the room instead ofusing video cameras. Generally speaking, sensor data have less information than video cameras. However, byanalyzing data captured by a small sensor array, we found that machine learning technologies can classify humanlocations and activities roughly. That is, a sensor array may provide enough information for the system to be smart. In this paper, we study sensor array-based arbitrary human location estimation, and compare the performance ofMLP and SVR for location regression. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Infrared SensorSmart Home TechnologyMachine Learning |
| Paper # | SC2018-9 |
| Date of Issue | 2018-05-25 (SC) |
| Conference Information | |
| Committee | SC |
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| Conference Date | 2018/6/1(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | UBIC 3D Theater, University of Aizu |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Service Computing for the 4th Industrial Revolution and Other Issues |
| Chair | Masahide Nakamura(Kobe Univ.) |
| Vice Chair | Shinji Kikuchi(Univ. of Aizu) / Yoji Yamato(NTT) |
| Secretary | Shinji Kikuchi(NEC) / Yoji Yamato(Fujitsu Lab.) |
| Assistant | |
| Paper Information | |
| Registration To | Technical Committee on Service Computing |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Arbitrary Location Estimation Using Infrared Sensors by Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Infrared SensorSmart Home TechnologyMachine Learning |
| 1st Author's Name | Ryo Ota |
| 1st Author's Affiliation | The University of Aizu(Univ. of Aizu) |
| 2nd Author's Name | Qiangfu Zhao |
| 2nd Author's Affiliation | The University of Aizu(Univ. of Aizu) |
| Date | 2018-06-02 |
| Paper # | SC2018-9 |
| Volume (vol) | vol.118 |
| Number (no) | SC-72 |
| Page | pp.pp.47-52(SC), |
| #Pages | 6 |
| Date of Issue | 2018-05-25 (SC) |