Extraction of individual gait features in mobile phone accelerometer
نویسندگان
چکیده
Abstract An algorithm for extracting individual signs of a person’s gait according to the data mobile phone accelerometer is considered. The developed includes stage segmentation, correlation selection motion patterns, and clustering procedures. By selecting noisy segments, quality extraction features improved. results work allow us refine existing models changes in human motor behavior personalized medicine security systems. article also discusses segmentation influence external factors on measurement results.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2022
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2388/1/012042