Presentation | 2008-12-18 Activity Recognition from Interactions with Objects using Dynamic Bayesian Network Tomohito Inomata, Futoshi Naya, Noriaki Kuwahara, Fumio Hattori, Kiyoshi Kogure, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A nursing activity recognition method has been developed that is based on a nurse's interactions with the tools and materials he/she touches and uses the Dynamic Bayesian Network (DBN) framework. This is aimed to prevent the cause of medical accident and incidents beforehand. This time, we focused on recognizing the 12 activity steps in the drip injection task which is one of the most related tasks to medical accidents and incidents. Activity recognition from the interactions with objects captured by RFID was done using DBN framework, and we obtained the 96% accuracy of the recognition of the 12 activity steps in the drip injection task. |
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Paper # | PRMU2008-163 |
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Committee | PRMU |
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Conference Date | 2008/12/11(1days) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
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Title (in English) | Activity Recognition from Interactions with Objects using Dynamic Bayesian Network |
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1st Author's Name | Tomohito Inomata |
1st Author's Affiliation | ATR Knowledge Science Laboratories:Graduate School of Science and Engineering, Ritsumeikan University() |
2nd Author's Name | Futoshi Naya |
2nd Author's Affiliation | ATR Knowledge Science Laboratories |
3rd Author's Name | Noriaki Kuwahara |
3rd Author's Affiliation | Graduate School of Science and Technology, Kyoto Institute of Technology |
4th Author's Name | Fumio Hattori |
4th Author's Affiliation | Graduate School of Science and Engineering, Ritsumeikan University |
5th Author's Name | Kiyoshi Kogure |
5th Author's Affiliation | ATR Knowledge Science Laboratories |
Date | 2008-12-18 |
Paper # | PRMU2008-163 |
Volume (vol) | vol.108 |
Number (no) | 363 |
Page | pp.pp.- |
#Pages | 6 |
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