发明申请
US20160066857A1 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: US14121938申请日: 2014-11-04
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公开(公告)号: US20160066857A1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 configured to measure a heart rate coupled to a device, the sensor being configured to sense the signal over a time period, evaluating the signal to generate data associated with the heart rate, the data being further evaluated to select a classifier, invoking the classifier, the classifier being configured to evaluate the data to identify a predictive feature, the predictive feature invoking an application configured to determine a state using a feature interpreter, the application also being configured to evaluate other data from another signal, the signal being configured to detect a respiration rate, and processing the data and the other data using the application and the feature interpreter to generate information associated with sleep, the information being configured to display on an interface associated with the device.
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