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Conference Paper
An Effective Method for Component Activity Classification Supporting Location Awareness and User Identification
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- Authors
- Jae Won Jang, Sa-Kwang Song, Soo-Jun Park
- Issue Date
- 2008-08
- Citation
- International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) 2008, pp.5258-5261
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- We present an effective method for component activity classification supporting location awareness and user identification at the same time. The system is comprised of three modules: Pressure Sensing Module (PSM), Activity Detecting Module (ADM), and Receiving Station (RS). The ADM having a unique id is a wearable module putting on one’s waist-belt, which classifies component activity such as sitting chair, lying bed, sitting sofa, etc. utilizing both user’s interaction with household furniture and atomic activities like lie, sit, and stand. We limit transmission range of RF chip in PSM to around 1 m so that we can find the most adjacent furniture to the ADM. It makes possible to find the user’s relative location to the PSM, so we can aware of both who and where the acting person is while recognizing his/her activities. We obtained 92.5% of average precision of the activity classification.
- KSP Keywords
- Average Precision, Relative location, Transmission Range, User identification, activity classification, activity detecting, location awareness, pressure sensing