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Smart Care: Energy-Efficient Long-Term Physical Activity Tracking Using Smartphones

查看全文 作  者:Hui [1]Liu;Rui [1]Li;Sicong [1]Liu;Shibian [1]Tian;Junzhao [1]Du 高影响力作者 机构地区:[1]School of Software and Institute of Software Engineering,Xidian University,and Science and Technology on Infomation Transmission and Dissemination in Communication Networks Lab.高影响力机构 出  处:《Tsinghua Science and Technology》索引2015年第20卷第4期,共16页高影响力期刊 基  金:partially supported by the National Natural Science Foundation of China (Nos. 61190110, 61272456, and 61472312);the open fund ITDU14004/KX142600011;supported by the overall innovation project of Shaanxi Province Science and Technology Plan (No. 2012KTZD02-03-03);the Fundamental Research Funds for the Central Universities (Nos. JB151002, K5051323005, and BDY041409) 摘  要:Lack of physical activity is becoming a killer of our healthy life. As a solution for this negative impact,we propose Smart Care to help users to set up a healthy physical activity habit. Smart Care can monitor a user's activities over a long time, and then provide activity quality assessment and suggestion. Smart Care consists of three parts, activity recognition, energy saving, and health feedback. Activity recognition can recognize nine kinds of daily activities. A hybrid classifier that uses less power and memory with satisfactory accuracy was designed and implemented by utilizing the periodicity of target activity. In addition, a learning-based energy saver was introduced to reduce energy consumption by adjusting sampling rates and the set of features adaptively. Based on the type and duration of the activity recorded, health feedback in terms of the calorie burned was given. The system could provide quantitative activity quality assessment and recommend future physical activity plans. Through extensive real-life testing, the system is shown to achieve an average recognition accuracy of 98.0% with a minimized energy expenditure. 关 键 词:能源效率 脱机 智能手机 体力 健康生活 跟踪 保护程序 能源消耗
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