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IMSP: an Intelligent Mobile Sensing Platform for Automatized Abnormal Behavior Detection
Kobiljon Toshnazarov,Youngtae Noh 한국통신학회 2020 한국통신학회 학술대회논문집 Vol.2020 No.2
In recent years, mobile sensing data collection has become crucial in Human-Computer Interaction research. When conducting mobile sensing studies using smartphones and wearable devices, researchers mostly address issues related to Data Quality (i.e., missing data, low accuracy, etc.). However, they do not address a problem of deviations from behavioral contexts, that can affect research finding and conclusions if not monitored efficiently in a timely manner. So far, no study has addressed this issue on an individual level. Therefore, this paper proposes Intelligent Mobile Sensing Platform (IMSP), a mobile sensing data collection platform that can efficiently detect abnormal participant behavior from mobile sensors utilizing Density-Based Local Outlier Factor and informs a researcher about it in realtime. Our study shows a promising result with our preliminary study conducted in a strictly controlled laboratory environment.