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    • 1. 发明申请
    • TECHNIQUES FOR IMPROVED PEDOMETER READINGS
    • 改进的测量仪读数技术
    • US20130085677A1
    • 2013-04-04
    • US13251128
    • 2011-09-30
    • Yash Rohit ModiVinay Bethgiri Ganesh DixitSaurabh Gupta
    • Yash Rohit ModiVinay Bethgiri Ganesh DixitSaurabh Gupta
    • G06F19/00G01P15/00G01C22/00
    • G01C22/006A61B5/112A61B5/1123A61B5/7225A61B2560/0431G01P15/00
    • Techniques are provided for improving pedometer readings. In some embodiments, motion data, such as acceleration data is detected, and a magnitude of the acceleration data, referred to as the modulus, is processed. The modulus is used to detect walking steps and running steps during a measurement. In some embodiments, a distance ran is calculated based on the detected running steps and an estimated running stride length, and a distance walked is calculated based on the detected walking steps and an estimated walking stride length. The estimated running and walking stride lengths are calculated based on various parameters associated with the acceleration data, population data, and user-specific data. Expended calories may be estimated based on the distance ran and walked. The distance analysis process further includes calibration techniques, including, for example, least squares simple regression, least squares multiple regression, and K-factor analysis.
    • 提供了提高计步器读数的技术。 在一些实施例中,检测诸如加速度数据的运动数据,并且处理被称为模数的加速度数据的大小。 该模数用于检测测量过程中的步行步骤和运行步骤。 在一些实施例中,基于检测到的运行步骤和估计的行驶步幅长度来计算跑步距离,并且基于检测到的行走步骤和估计的步行步幅长度来计算步行距离。 基于与加速度数据,人口数据和用户特定数据相关联的各种参数来计算估计的跑步和步行步长。 消耗卡路里可以根据跑步距离来估计。 距离分析过程还包括校准技术,包括例如最小二乘简单回归,最小二乘回归和K因子分析。