Published July 30, 2020 | Version v1
Journal article Open

A Heuristic Model for Predicting Human Fall Detection using Machine Learning Techniques

  • 1. Assistant Professor, Department of Computer Science & Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana, India
  • 2. Associate Professor, Department of Computer Science & Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana, India.
  • 3. UG Student , Department of Computer Science & Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana, India
  • 4. UG Student Department of Computer Science & Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana, India
  • 1. Publisher

Description

It is very obvious that human fall due to unconsciousness is a very common health problem in every human being. With the evolution of many smart health devices, we should contribute the technological advancement of machine learning into it. Different techniques are already used in order to detect human fall detection in human beings. In this paper we have studied the patterns of falling of human through the fall detection dataset while this human was performing various motions. By understanding all these we have generated the prediction protocol which estimates the fall of a person using fall detection dataset. Machine Learning classifiers were used to predict the human fall and a comparative study of various algorithms used was developed to find out the best classifier.

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Journal article: 2277-3878 (ISSN)

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ISSN
2277-3878
Retrieval Number
B3180079220/2020┬ęBEIESP