Evidence map›Paper›PMID 24627821›Full record

ArticleHealthcare informatics research2014

Lifelog agent for human activity pattern analysis on health avatar platform.

Yongjin Kwon, Kyuchang Kang, Changseok Bae, Hee-Joon Chung, Ju Han Kim

Abstract readCase Reports
In one paragraph

Article in Healthcare informatics research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yongjin KwonHuman Computing Research Section, SW · Content Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Korea.
Kyuchang KangHuman Computing Research Section, SW · Content Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Korea.
Changseok BaeHuman Computing Research Section, SW · Content Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Korea.
Hee-Joon ChungSeoul National University Biomedical Informatics, Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.
Ju Han KimSeoul National University Biomedical Informatics, Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo 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.

methodsUsing 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

Activities of Daily LivingAutomated Pattern RecognitionHealth BehaviorMedical RecordsMobile Phone

Identifiers

PMID24627821
PMCPMC3950268

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.