Real-Time Data Analysis Using a Smartphone Mobile Application
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Information about older adults’ everyday journeys and outdoor activities can provide insights into their travel habits, leisure preferences and other daily activities. In this research, a smartphone-based mobile application was developed as a tool to better understand such daily activities of older persons who reside in Bukit Panjang Town, Singapore. The Chapter delivers a detailed methodology of the mobile application data collection, which includes device location information (GPS coordinates), background noise, background light level, and device battery level. Using analysis in MATLAB, heat maps were used to visualise the gathered insights. The findings showed that older participants tend to visit and spend their time mostly in their local neighbourhood whereas the visits to places outside of it are mostly done for shopping, religious and healthcare purposes.
KeywordsBukit Panjang shoppingShopping Mobile Data Collection Application Background Light Level Device Location Information
We gratefully acknowledge the following for their generous support and assistance with the mobile apps development, recruitment of older participants and analysis of data: Ku Xuefang (Peking University, China), Zhang Wei (Peking University, China), Zhao Jun (Peking University, China), Guo Jindong (Peking University, China), Zuo Jun (Peking University, China), Cao Qiangqiang (Peking University, China), Guo Shaowei (Peking University, China), Wan Yi (South University of Science and Technology of China, China), Wang Ming (BUPT, China), Emma DeSoto (MIT, USA), Herman Li (MIT, USA), Gao Wenxuan (SUTD Undergraduate), Li Wanying (SUTD Undergraduate), Anushka Pakhale (SUTD Undergraduate), Lim Chang Shi (SUTD Undergraduate), Sitoe Wang Yan Samuel (SUTD Undergraduate), Wang Shuo (SUTD Undergraduate), Thirunavukarasu Bala (SUTD), Dr. Mo Ronghong (SUTD), Dr. Wu Jiyan (SUTD).
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