期刊文献+

基于感应器的睡眠质量测评数据获取方法

Acquiring Evaluation Data of Health Habits Using FitBit Sensor
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摘要 为了更好地获取健康习惯测评相关数据,研究基于感应器的睡眠质量测评数据获取方法。在Fitbit.com完成注册,创建基于OAuth协议的客户端,获取可操作资源的授权,获取用户健康习惯测评数据,并完成数据可视化。该方法已经运用到实际项目中。实验证明,该方法是行之有效的。该方法已经成功应用于实验室开发的多人社交应用项目中。该方法可用于社交网站、手机应用等领域。 To obtain the data of health habit, focuses on the method of acquiring the evaluation data of health habits using FitBit sensor. Completes registration in Fitbit.com and creates a customer client based on OAuth protocol. Obtains the authorization of operational resources. Then we ac- cess to health habits assessment data, and complete data visualization. Finally, we provide the experiments results. The experiments results prove our method is feasible and valid. This method has been used in our practical application.
作者 蔡兴泉 杨橙
出处 《现代计算机(中旬刊)》 2012年第8期8-10,共3页 Modern Computer
基金 国家自然科学基金项目(No.51075423) 北京市人才强教计划项目(No.PHR201008202) 北京市教委科技计划面上项目(No.KM201010009002) 北京市大学生科学研究与创业行动计划项目(No.NCUT2012006)
关键词 感应器 睡眠质量 测评数据 数据可视化 Sensor Sleep Efficient Assessment Data Data Visualization
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参考文献4

  • 1周宁,程红莉,吴佳鑫.信息可视化的发展趋势研究[J].图书情报工作,2008,52(8):35-38. 被引量:24
  • 2董士海 王坚 戴国忠.人机交互和多通道用户界面[M].科学出版社,1999..
  • 3Demystify Your Sleep Cycle [EB/OL]. http://www.fitbit.com/ product/features, 2012.
  • 4Chloe Fan, Jodi Forlizzi, et al. Spark: Visualizing Physical Activity Using Abstract, Ambient Art [C]. In Proceedings of CHI2012, 2012.

二级参考文献13

  • 1Chen Chaomei. Top 10 unsolved information visualization problems. IEEE Computer Graphics and Applications. 2005, 25(4):12-16.
  • 2Chen Chaomei. Information visualization: Beyond the horizon.New York: Springer, 2004:274.
  • 3Havre S, Hetzler E, Whitney P, et al. ThemeRiver: visualizing thematic changes in large document collections. IEEE Transactions on Visualization and Computer Graphics. 2002, 8(1):9-20.
  • 4Chi E H. Improving Web usability through visualization. Internet Computing. 2002,6(2):64-71.
  • 5Chen Chaomei. Searching for intellectual turning points: Progressive knowledge domain visualization. [2008401-30]. www.pnas.org_cgi_doi_ 10.1073_pnas.0307513100.
  • 6Iwata T, Saito K.Visualization of anomalies using mixture models. Journal of Intelligent Manufacturing, 2005,16(6):635-643.
  • 7Wong C, Thomas J. Visual analytics. IEEE Computer Graphics and Applications,2004. [2007-10-21].http://infoviz.pnl.gov/ pdf/visualAnalytics.pdf.
  • 8Hascoet-Zizi M, Ahlberg C, Korfhage R, et al. Where is Information Visualization Technology going? // ACM.Proceedings of the 9th annual ACM symposium on User interface software and technology. Seattle: ACM press, 1996: 75-77.
  • 9Zhang Jiajie, Johnson K A, Malin J, et al. Human-centered information visualization (2002). [2007-12-28].http://acad88. sahs .uth.tmc.edu/research/publications/zhang % 20dynamic %20visualization%20paper.pdf.
  • 10Shneiderman B, Rao R, Andrews K. Turning information visualization innovations into commercial products lessons to guide the next success//Proceedings of the 11th IEEE Symposium on Information Visualization (InfoVis'05), 2005: 241-244. [2007-12-23]. http://ieeexplore.ieee.org/xpls/abs_all. jsp?arnumber=1532153.

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