| Presentation | 2018-11-10 Short Time Learning in Location Recognition Based on Infrared Sensor Array Ryo Ota, Qiangfu Zhao, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | ?The aim of this paper is to reveal the usefulness and possibility of a sparse infrared sensor array for building a smart home. Our previous results show that human locations can be recognized very accurately using the sensor array data. However, the results were obtained using k-fold cross-validation. That is, the percentage of data used for training is relatively large, and the test results may not show the generalization ability correctly. In this paper, we use a small training set that contains data observed in a completely different time interval as the test data. This means that the testing data are completely unknown for the machine learner?. New experimental results show that training data obtained in a surprisingly short time are enough to build a machine learner that can recognize specific human locations (when other factors are fixed). This fact provides important insights for our future studies to shorten experiment time and to realize a real smart home. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Smart Home / Machine Learning |
| Paper # | KBSE2018-35,SC2018-30 |
| Date of Issue | 2018-11-02 (KBSE, SC) |
| Conference Information | |
| Committee | KBSE / SC |
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| Conference Date | 2018/11/9(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Fumihiro Kumeno(Nippon Inst. of Tech.) / Masahide Nakamura(Kobe Univ.) |
| Vice Chair | Hiroyuki Nakagawa(Osaka Univ.) / Shinji Kikuchi(Univ. of Aizu) / Yoji Yamato(NTT) |
| Secretary | Hiroyuki Nakagawa(NTT) / Shinji Kikuchi(Fujitsu labs.) / Yoji Yamato(NEC) |
| Assistant | Ryuichi Takahashi(Ibaraki Univ.) / Yoshinori Tanabe(Tsurumi Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Knowledge-Based Software Engineering / Technical Committee on Service Computing |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Short Time Learning in Location Recognition Based on Infrared Sensor Array |
| Sub Title (in English) | |
| Keyword(1) | Smart Home |
| Keyword(2) | Machine Learning |
| Keyword(3) | |
| Keyword(4) | |
| 1st Author's Name | Ryo Ota |
| 1st Author's Affiliation | University of Aizu(UOA) |
| 2nd Author's Name | Qiangfu Zhao |
| 2nd Author's Affiliation | University of Aizu(UOA) |
| Date | 2018-11-10 |
| Paper # | KBSE2018-35,SC2018-30 |
| Volume (vol) | vol.118 |
| Number (no) | KBSE-292,SC-293 |
| Page | pp.pp.43-46(KBSE), pp.43-46(SC), |
| #Pages | 4 |
| Date of Issue | 2018-11-02 (KBSE, SC) |