Human Action Classification using seismic sensor and machine learning techniques

In this work, we propose a novel method for identifying human activities like walking and running, utilising ground vibration obtained from seismic sensor and using machine learning techniques. The proposed methodology is based on statistical feature extraction. It is grounded on the idea, that each...

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Bibliographic Details

Published in:	2021 5th International Conference on Information Systems and Computer Networks (ISCON) pp. 1 - 6
Main Authors:	Chakraborty, Mainak, A, Srinivasan, Reddy, Srinivasa, Kumar Mandal, Sanjib, Bhaumik, Subhasis
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22-10-2021
Subjects:	classification Data models Feature extraction Human activity classification machine learning Machine learning algorithms Real-time systems seismic sensor Surveillance Training Vibrations
Online Access:	Get full text
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