AN APPROACH FOR HUMAN ACTIVITY RECOGNITION USING SUPERVISED MACHINE LEARNING

Madhavi Jangam, R.Hajare
Page No: 19-35
Download PDFAbstract:
In this paper ,we are trying to build a classification model which will recognise the activities through the mobile sensor like walking ,walking_upstairs ,walking_downstairs ,sitting ,standing,lying.The topic Human Activity recognition is in research and has its own advantages like anomaly detection, for healthy diet maintenance fitness bands are used , measuring stress level ,for monitoring employees ,for heartbeat pulse rate etc. We are going to focus on the dataset which was carried out through experiments with a group of 30 volunteers wearing a smartphone on the waist. Using its embedded accelerometer and gyroscope.The experiments have been video-recorded to label the data manually.The main motto is to use the dataset and work with the libraries like scikit learn and machine learning related libraries and algorithms while training.

Citations

APA: Madhavi Jangam, R.Hajare (2025). AN APPROACH FOR HUMAN ACTIVITY RECOGNITION USING SUPERVISED MACHINE LEARNING. DOI: 10.86493/VEREDAS.2025/V15I6/03

AMA: Madhavi Jangam, R.Hajare. AN APPROACH FOR HUMAN ACTIVITY RECOGNITION USING SUPERVISED MACHINE LEARNING. 2025. DOI: 10.86493/VEREDAS.2025/V15I6/03

Chicago: Madhavi Jangam, R.Hajare. "AN APPROACH FOR HUMAN ACTIVITY RECOGNITION USING SUPERVISED MACHINE LEARNING." Published 2025. DOI: 10.86493/VEREDAS.2025/V15I6/03

IEEE: Madhavi Jangam, R.Hajare, "AN APPROACH FOR HUMAN ACTIVITY RECOGNITION USING SUPERVISED MACHINE LEARNING," 2025, DOI: 10.86493/VEREDAS.2025/V15I6/03

ISNAD: Madhavi Jangam, R.Hajare. "AN APPROACH FOR HUMAN ACTIVITY RECOGNITION USING SUPERVISED MACHINE LEARNING." DOI: 10.86493/VEREDAS.2025/V15I6/03

MLA: Madhavi Jangam, R.Hajare. "AN APPROACH FOR HUMAN ACTIVITY RECOGNITION USING SUPERVISED MACHINE LEARNING." 2025, DOI: 10.86493/VEREDAS.2025/V15I6/03