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KMID : 1195020230190010039
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Archives of Orthopedic and Sports Physical Therapy
2023 Volume.19 No. 1 p.39 ~ p.46
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A Comprehensive Review on the Analysis and Classification Model of Lifelog for Preventing VDT Syndrome
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Lee Jae-Hyuk
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Abstract
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Purpose: In this study, we investigated state-of-the-art lifelog analysis methods and describe a modelingprocess for analysis of acceleration data. These data can be easily obtained from smart devices and is usefulfor patients with visual display terminal (VDT) syndrome, who show specific lifestyle patterns.
Methods and Results: We reviewed 23 recent lifelog articles focused on preprocessing, feature extraction,and classification to design a model for analysis of lifestyle patterns associated with VDT syndrome. Basedon our review of articles, we recommend using relatively simple statistical indices, including min, max, medianvariance, and standard deviation, or frequency indices, such as power spectrum analysis for feature extraction.
Based on favorable results with large datasets reported by several previous studies, we suggest using agenetic algorithm (GA) for classification. Notably, establishment of an organized human resource system forsystematic data collection and management can improve data quality and also learning efficiency.
Conclusion: We recommend the use of simple statistical indices and a GA for feature extraction andclassification, respectively, to design a model for analysis of lifestyle patterns in patients with VDT syndrome.
We also emphasize the importance of establishing an organized human resource system for systematic datacollection and management to improve data quality and learning efficiency.
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KEYWORD
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Genetic algorithm, Lifelog, Lifestyle, Prevention, VDT syndrome
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