发明申请
US20160066859A1 Device-based activity classification using predictive feature analysis
审中-公开
基于设备的活动分类使用预测特征分析
- 专利标题: Device-based activity classification using predictive feature analysis
- 专利标题(中): 基于设备的活动分类使用预测特征分析
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申请号: US14121941申请日: 2014-11-05
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公开(公告)号: US20160066859A1公开(公告)日: 2016-03-10
- 发明人: Stuart Crawford , Piyush Savalia , Prasad Panchalan , Sylvia Hou-Yan Cheng , Chris Singleton , Sheila Nabanja , Ilyas Mohammad , Sumit Sharma
- 申请人: Stuart Crawford , Piyush Savalia , Prasad Panchalan , Sylvia Hou-Yan Cheng , Chris Singleton , Sheila Nabanja , Ilyas Mohammad , Sumit Sharma
- 申请人地址: US CA San Francisco
- 专利权人: AliphCom
- 当前专利权人: AliphCom
- 当前专利权人地址: US CA San Francisco
- 主分类号: A61B5/00
- IPC分类号: A61B5/00 ; A61B5/0205
摘要:
Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor coupled to a device, the sensor being configured to detect the signal over a time period and to detect motion, evaluating the signal to generate data, the data being used to indicate motion, the data being further evaluated to select a classifier based on whether the motion is detected, activating another sensor coupled to the device, the another sensor being configured to detect another signal that is substantially different than the signal, the another signal being used to generate other data associated with whether the motion is detected, invoking the classifier, the classifier being configured to evaluate a predictive feature to identify a type associated with whether the motion is detected, the predictive feature invoking an application configured to determine the type and a state using a feature interpreter, and processing the data using the application and the feature interpreter to generate information associated with a biological state associated with whether the motion is detected, the information being configured to display on an interface associated with the device.
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