| Presentation | 2012-02-09 Human Activity Recognition for Content Searching Using a Smartphone Kentarou SHIMATANI, Tomohiro MASHITA, Hiroki MIYAMOTO, Mayu IWATA, Takahiro HARA, Kiyoshi KIYOKAWA, Haruo TAKEMURA, Shojiro NISHIO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, smart-phones have enabled us to provide information in various situations. For instance, smart-phone users can search for information about surrounding facilities or a route to their destination. However, it is difficult to get or search for information while walking because of low legibility. To address this problem, users have to stop walking or enlarge the screen. We have previously proposed a system to support information searching with a smart-phone. Our system switches the information presentation policies in response to the user's context. In this paper we describe our context recognition mechanism for this system. Our context recognition mechanism estimates user context from sensors embedded in a smart-phone. We use a Support Vector Machine for the context classification and compare four types of feature values consisting of STFT and 3 types of Wavelet Transforms. Experimental results show that recognition rates are 86.6 % with STFT, 91.9 % with Gabor Wavelet, 91.7 % with Haar Wavelet, and 92.1 % with MexicanHat Wavelet. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Context Recognition / Smart-phones / Wavelet Transform / Accelerometer |
| Paper # | PRMU2011-194,SP2011-109 |
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| Conference Information | |
| Committee | SP |
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| Conference Date | 2012/2/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Speech (SP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Human Activity Recognition for Content Searching Using a Smartphone |
| Sub Title (in English) | |
| Keyword(1) | Context Recognition |
| Keyword(2) | Smart-phones |
| Keyword(3) | Wavelet Transform |
| Keyword(4) | Accelerometer |
| 1st Author's Name | Kentarou SHIMATANI |
| 1st Author's Affiliation | Graduate School of Information Science and technology, Osaka University() |
| 2nd Author's Name | Tomohiro MASHITA |
| 2nd Author's Affiliation | Graduate School of Information Science and technology, Osaka University:Cybermedia Center, Osaka University |
| 3rd Author's Name | Hiroki MIYAMOTO |
| 3rd Author's Affiliation | Graduate School of Information Science and technology, Osaka University |
| 4th Author's Name | Mayu IWATA |
| 4th Author's Affiliation | Graduate School of Information Science and technology, Osaka University |
| 5th Author's Name | Takahiro HARA |
| 5th Author's Affiliation | Graduate School of Information Science and technology, Osaka University |
| 6th Author's Name | Kiyoshi KIYOKAWA |
| 6th Author's Affiliation | Graduate School of Information Science and technology, Osaka University:Cybermedia Center, Osaka University |
| 7th Author's Name | Haruo TAKEMURA |
| 7th Author's Affiliation | Graduate School of Information Science and technology, Osaka University:Cybermedia Center, Osaka University |
| 8th Author's Name | Shojiro NISHIO |
| 8th Author's Affiliation | Graduate School of Information Science and technology, Osaka University |
| Date | 2012-02-09 |
| Paper # | PRMU2011-194,SP2011-109 |
| Volume (vol) | vol.111 |
| Number (no) | 431 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |