Motion Detection and Prediction Using Machine Learning Algorithm

Authors

  • Ms.Jeevitha R
  • Ms.Harshitha N
  • Ms.Chandana P C

DOI:

https://doi.org/10.46243/jst.2020.v5.i5.pp220-226

Keywords:

Machine Learning, Logistic Regression F1 score

Abstract

Machine learning is a branch of Artificial Intelligence which is gaining importance in the 21st century with increasing processing speeds and miniaturization of sensors, the applications of Artificial Intelligence and cognitive technologies are growing rapidly. An array of ultrasonic sensors i.e., HCSR-04 is placed at different directions, collecting data for a particularinterval of a period during a particular day. The acquired sensor values are subjected to pre-processing, data analytics, and visualization. The prepared data is now split into test and train. A prediction model is designed using logistic regression and linear regression and checked for accuracy, F1 score, and precision compared.

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Published

2024-05-03

How to Cite

R, M., N, M., & P C, M. (2024). Motion Detection and Prediction Using Machine Learning Algorithm. Journal of Science & Technology (JST), 5(5), 220–226. https://doi.org/10.46243/jst.2020.v5.i5.pp220-226

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