Stuart Crawford,Piyush Savalia,Prasad Panchalan,Sylvia Hou-Yan Cheng,Chris Singleton,Sheila Nabanja,Ilyas Mohammad,Sumit Sharma
申请号：
US14121938
公开号：
US20160066857A1
申请日:
2014.11.04
申请国别(地区):
US
年份:
2016
代理人:
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.
