首页> 外国专利> FEATURE EXTRACTION AND CLASSIFICATION TO DETERMINE ONE OR MORE ACTIVITIES FROM SENSED MOTION SIGNALS

FEATURE EXTRACTION AND CLASSIFICATION TO DETERMINE ONE OR MORE ACTIVITIES FROM SENSED MOTION SIGNALS

机译:特征提取和分类,以从传感运动信号中确定一个或多个活动

摘要

Embodiments of the invention relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for facilitating health and wellness-related information. More specifically, disclosed are systems, methods, devices, computer readable medium, and apparatuses configured to determine activity and activity types, including gestures, from sensed motion signals using, for example, a wearable device (or carried device) and one or more motion sensors. In at least some embodiments, an apparatus can include a wearable housing, and a motion sensor configured to generate a motion sensor signal. The apparatus also may include a motion processor configured to generate intermediate motion signals from the motion sensor signal, and an activity processor configured to identify an activity based on the intermediate motion signals.
机译:本发明的实施例通常涉及用于促进健康和健康相关信息的电气和电子硬件,计算机软件,有线和无线网络通信以及可穿戴计算设备。更具体地,公开了配置成使用例如可穿戴设备(或携带的设备)和一个或多个运动从感测到的运动信号中确定活动和活动类型(包括手势)的系统,方法,设备,计算机可读介质和装置。传感器。在至少一些实施例中,一种设备可以包括可穿戴壳体以及配置为生成运动传感器信号的运动传感器。该装置还可以包括:运动处理器,被配置为从运动传感器信号生成中间运动信号;以及活动处理器,其被配置为基于中间运动信号来识别活动。

著录项

  • 公开/公告号US2014278208A1

    专利类型

  • 公开/公告日2014-09-18

    原文格式PDF

  • 申请/专利权人 THOMAS ALAN DONALDSON;

    申请/专利号US201414215038

  • 发明设计人 THOMAS ALAN DONALDSON;

    申请日2014-03-16

  • 分类号G01P1/07;

  • 国家 US

  • 入库时间 2022-08-21 16:09:46

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