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학술지 Lifelog Agent for Human Activity Pattern Analysis on Health Avatar Platform
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저자
권용진, 강규창, 배창석, 정희준, 김주한
발행일
201401
출처
Healthcare Informatics Research, v.20 no.1, pp.69-75
ISSN
2093-3681
출판사
Korean Society of Medical Informatics
DOI
https://dx.doi.org/10.4258/hir.2014.20.1.69
협약과제
14NS5100, Connected Self: 라이프로그 정보와 스트림형 데이터 마이닝을 통한 건강 모니터링, 배창석
초록
Objectives: To provide accurate personalized medical care, it is necessary to gather individual-related data or contextual information regarding the target person. Nowadays a large number of people possess smartphones, which enables sensors in the smartphones to be used for lifelogging. The objective of the study is to analyze human activity pattern by using lifelog agent cooperating with the Health Avatar platform. Methods: Using the lifelog measured by accelerometer and gyroscope in a smartphone at a 50 Hz rate, the agent reveals how long the user walks, runs, sits, stands, and lies down, and this information is summarized by hours. The summaries are sent to the Health Avatar platform and finally are written in the Continuity of Care Record (CCR) format.Results: The lifelog agent is successfully operated with the Health Avatar platform. In addition, we implement an application that displays the user's activity patterns in a graph and calculates the metabolic equivalent of task based calorie burned by hour or by day using the lifelog of the CCR form to show that the lifelog can be used as medical records. Conclusions: The agent shows how lifelogs are analyzed and summarized to help activity recognition. We believe that our agent demonstrates a way of incorporating lifelogs into medical care and a way of exploiting lifelogs in a medical format. © 2014 The Korean Society of Medical Informatics.
키워드
Activities of daily living, Automated pattern recognition, Health behavior, Medical records, Mobile phone
KSP 제안 키워드
50 Hz, Accelerometer and gyroscope, Activities of Daily Living(ADLs), Activity Recognition, Activity pattern, Contextual information, Continuity of care, Medical records, Metabolic equivalent of task, Number of people, Pattern recognition