Vijay Mehata 01 01 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 Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026