Invention Grant
- Patent Title: Adaptive window size segmentation for activity recognition
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Application No.: US15091589Application Date: 2016-04-06
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Publication No.: US10824955B2Publication Date: 2020-11-03
- Inventor: Lior Limonad , Nir Mashkif , Ari Volcoff , Sergey Zeltyn
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06F17/14 ; G06N20/00 ; G06K9/00 ; G06K9/62

Abstract:
A computer-implemented method, computerized apparatus and computer program product for activity recognition using adaptive window size segmentation of sensor data stream. A data stream generated by one or more sensors is obtained. A frequency analysis of the data in a first segment of the data stream is performed. A size of a second segment is determined based on the frequency analysis. Activity recognition is performed for the second segment by extracting one or more features of the data therein and applying a machine learning process on the extracted features to obtain a classification of the data into an activity class.
Public/Granted literature
- US20170300822A1 Adaptive window size segmentation for activity recognition Public/Granted day:2017-10-19
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