結合環境感測與AI分析開發老人居家行為之評估方式

Combining Environmental Sensing and AI Analysis to Develop an Assessment Method for Elderly Home Behavior

杜易昇(I-Sheng Tu)

指導教授 ： 江青芬

共同指導教授 ： 廖冠雄(Guan-Hsiung Liaw)

義守大學/醫學科技學院/生物醫學工程學系/碩士(2022年)

摘要

醫療、衛生科技進步，老年人口逐年上升，促使智慧醫療照護的發展。為了因應老年人口續速成長及照護人員不足，本研究嘗試利用環境感測器建佈於長者家中，收集行為感测數據，以對受測者的生活型態進行分析。本研究利用機器學習(Machine Learning)，將感测數據進行分析，並與受測者的活動紀錄做為對照驗證，分析受測者與其家庭成員生活型態之差異，同時深入探討受測者個人的生理訊息與行為活動。分析結果顯示，本研究所提出的辨識方法，對於辨識群體生活型態的差異及受測者個人行為活動的變化，深具潛力。

關鍵字

環境感測 ； 群體生活型態分析 ； 個人生活分析 ； 機器學習

並列摘要

Advances in medical technologies and health sciences and population aging year by year have urged the development of smart healthcare. To cope with the shortage of caregivers for the rapid growth of the elderly population, this study installed the ambient sensors in the houses of the elderly to collect behavioral sensing data for their lifestyle analyses. This research applied machine learning to analyze the sensory data and compare them with the daily-activity records of the subjects. The differences of the lifestyles and behaviors between the subjects and their family members were also investigated. The results show that the proposed methods in this study have great potential to identify group-lifestyle differences and individual behavioral variation.

並列關鍵字

Ambient sensing ； Group lifestyle analysis ； Personal lifestyle analysis ； Machine learning

參考文獻

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