An effective method for component activity classification supporting location awareness and user identification.
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.
Jang
Jaewon
J
Department of Lifeinformatics, Electronics and Telecommunications Research Institute, Korea. jaeback@etri.re.kr
Song
Sa-Kwang
SK
Park
Soo-Jun
SJ
D000465:Algorithms; D001185:Artificial Intelligence; D004867:Equipment Design; D019544:Equipment Failure Analysis; D040362:Geographic Information Systems / Q000295:instrumentation*; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D009043:Motor Activity / Q000502:physiology*; D010355:Patient Identification Systems / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011996:Records; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity