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METHOD FOR GENERATING A PERSONALIZED CLASSIFIER FOR HUMAN MOTION ACTIVITIES OF A MOBILE OR WEARABLE DEVICE USER WITH UNSUPERVISED LEARNING
专利权人:
STMicroelectronics International N.V.;STMicroelectronics, Inc.
发明人:
Mahesh Chowdhary,Arun Kumar,Ghanapriya Singh,Rajendar Bahl
申请号:
US15600057
公开号:
US20180333057A1
申请日:
2017.05.19
申请国别(地区):
US
年份:
2018
代理人:
摘要:
Described herein is a method of operating an electronic device that includes collecting initial motion activity data from at least one sensor of the electronic device, and generating a initial probabilistic context of the electronic device relative to its surroundings from the initial collected motion activity data using a motion activity classifier function. The collected motion activity data is stored in a training data set, and the motion activity classifier function is updated using the training data set. The method also includes collecting subsequent motion activity data from the at least one sensor of the electronic device, and generating a subsequent probabilistic context of the electronic device relative to its surroundings from the subsequently collected motion activity data using the updated motion activity classifier function.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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