Article
A Mediating Factor between Pattern Classification and Walking Activity
This paper primarily focuses on examining how distance impacts walking activity and patterns for classification purposes. The research provides a comprehensive overview of human walking behavior, the workflow of the tool programming language, detailed techniques for feature extraction and pattern classification, and the participants' perspectives. The study thoroughly documents all these aspects. The participant engaged in a variety of walking exercises in a controlled laboratory environment. It was discovered that the moderating effects of walking distance might account for the diversity in research output from the Gyroscope, Accelerometer, and Compass. When it comes to identifying human motion and patterns, the anticipated results will be very helpful to researchers and medical professionals.
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