| Presentation | 2012-01-20 Extracting Eigenpatterns from Office Workers Behavior Using Long Term Sensor Data Yusaku SATO, Shogo OKADA, Yuki KAMIYA, Katsumi NITTA, Kazuo KUNIEDA, Keiji YAMADA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposed an approach to analyze worker's activities in office. We investigated typical patterns during some office activities using dataset from a sensor network located in office. At first, data samples in office activities data are classified to three categories by using location of infrared sensors and a PC logger. Three categories are (1): desk work using PC, (2): meeting with the other people, and (3): otherwise. Time series data of office activities are converted to label sequences. Second, PCA can be done by singular value decomposition of a data matrix obtained by label sequences. Typical activity patterns are defined as eigenvectors of data matrix. We collected 23 months activity dataset from a sensor network for experiments. Experimental results show that typical activity patterns represent a character of individual activity in office. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Lifelog / Sensor Network / Behavior Analysis / Eigen Decomposition / PCA |
| Paper # | ICM2011-37,LOIS2011-62 |
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| Conference Information | |
| Committee | LOIS |
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| Conference Date | 2012/1/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Life Intelligence and Office Information Systems (LOIS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extracting Eigenpatterns from Office Workers Behavior Using Long Term Sensor Data |
| Sub Title (in English) | |
| Keyword(1) | Lifelog |
| Keyword(2) | Sensor Network |
| Keyword(3) | Behavior Analysis |
| Keyword(4) | Eigen Decomposition |
| Keyword(5) | PCA |
| 1st Author's Name | Yusaku SATO |
| 1st Author's Affiliation | Tokyo Institute of Technology() |
| 2nd Author's Name | Shogo OKADA |
| 2nd Author's Affiliation | Tokyo Institute of Technology |
| 3rd Author's Name | Yuki KAMIYA |
| 3rd Author's Affiliation | C&C Innovation Research Lab, NEC Corporation |
| 4th Author's Name | Katsumi NITTA |
| 4th Author's Affiliation | Tokyo Institute of Technology |
| 5th Author's Name | Kazuo KUNIEDA |
| 5th Author's Affiliation | C&C Innovation Research Lab, NEC Corporation |
| 6th Author's Name | Keiji YAMADA |
| 6th Author's Affiliation | C&C Innovation Research Lab, NEC Corporation |
| Date | 2012-01-20 |
| Paper # | ICM2011-37,LOIS2011-62 |
| Volume (vol) | vol.111 |
| Number (no) | 383 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |