📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 9, ISSUE 2, FEBRUARY 2020

Human Movement Detection and Prediction Using Data Analytics and Machine Learning

Apoorva N S, Mariya Smitha C, Namratha H, Nithyashree S, Nagarathna R

DOI: 10.17148/IJARCCE.2020.9229
Abstract: Artificial Intelligence is the emerging branch of Computer Science which deals with the development of algorithms that can simulate or recreate ‘HUMAN MIND’ like capabilities. Machine learning is a subset of Artificial Intelligence. Large datasets are provided to the machine, thereby training the same for/at different situations. Machine learning is mainly used in behavioural analysis, prediction of sequences and real-time/real-world environment simulation. Historical and present run-time data is used to train the machine. Motion detection of living beings or objects of interest is essential in many domains. Many devices such as security devices, radars, the positioning of industrial robots, vehicular motion, and traffic density meter make use of this phenomenon. High immunity to all other factors other than the sensed data is a very big challenge and a huge motivation. Keywords: Artificial Intelligence (AI), Machine Learning, Data Analytics, behavioural analysis, Logistic regression, accuracy, precision, and F1 score, Motion detection of living beings or objects of interest and security devices

How to Cite:

[1] Apoorva N S, Mariya Smitha C, Namratha H, Nithyashree S, Nagarathna R, “Human Movement Detection and Prediction Using Data Analytics and Machine Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2020.9229