论智能可穿戴设备在我国体力活动大数据分析中的应用

发布时间：2018-03-02 00:20

本文关键词： 智能可穿戴设备体力活动大数据　出处：《中国体育科技》2017年02期 　论文类型：期刊论文

【摘要】：回顾我国体力活动研究方法和研究工具的现状,探讨智能可穿戴设备在体力活动大数据研究中应用的可行性,并对未来的发展趋势进行展望。1)虽然体力活动问卷的效度较低,但问卷依然是我国近10年体力活动研究最常用的测量工具,在大数据时代,我国体力活动领域的研究需要更有效、经济、方便,且适用于长周期、大样本的研究工具。2)加速度探测技术、心率探测技术和全球卫星定位系统(GPS)技术是目前可穿戴设备测量体力活动能量消耗的主流技术,数据挖掘和机器学习等方法的应用进一步提升了测试的效度。国产智能可穿戴设备估算能量消耗的效度不高,仍具有较大的技术提升空间。智能可穿戴设备在体力活动的大数据研究领域具有非常广阔的应用前景。3)智能可穿戴设备技术和大数据分析方法将给体力活动研究带来深远的影响,可能引起研究理念、研究工具、数据分析方法的重大变革。
[Abstract]:Reviewing the present situation of physical activity research methods and tools in China, exploring the feasibility of the application of intelligent wearable devices in the study of physical activity big data, and looking forward to the future development trend, although the validity of the physical activity questionnaire is low, However, the questionnaire is still the most commonly used measurement tool for the study of physical activity in China in the past 10 years. In big data's time, the research in the field of physical activity in China needs to be more effective, economical, convenient and suitable for long periods. Acceleration detection technology, heart rate detection technology and GPS (Global Positioning system) technology are the main technologies for wearable devices to measure energy consumption of physical activity. The application of methods such as data mining and machine learning has further improved the validity of the test. Intelligent wearable devices in the field of physical activity big data has a very broad application prospects. 3) Intelligent wearable device technology and big data analysis methods will give physical activity research. With far-reaching implications, This may lead to significant changes in research ideas, research tools, and data analysis methods.
【作者单位】：浙江大学教育学院;
【基金】：国家科技支撑计划资助项目(2015BAK26B03) 中央高校基本科研业务费专项资助项目
【分类号】：G804.49

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