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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, Inc.;STMicroelectronics International N.V.
发明人:
Mahesh CHOWDHARY,Arun KUMAR,Ghanapriya SINGH,Rajendar BAHL
申请号:
US16783569
公开号:
US20200229710A1
申请日:
2020.02.06
申请国别(地区):
US
年份:
2020
代理人:
摘要:
Motion activity data is collected from at least one sensor. An initial motion activity classifier function is applied to the motion activity data to produce an initial motion activity posteriorgram. Pre-processing and segmenting the motion activity data into windows produces segmented motion activity data from which sensor specific features are extracted. An updated motion activity classifier function is generated from the extracted sensor specific features. Subsequent motion activity data is also collected from the at least one sensor, and the updated motion activity classifier function is applied to the subsequent motion activity data to produce an updated motion activity posteriorgram.
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