The Prediction of the Critical Condition for a Weak Entity Using Fuzzy System

Authors

  • Ratnmala Nivrutti Bhimanpallewar Vishwakarma Institute of Information Technology (VIIT), Kondhwa Bk., Pune – 411048, Maharashtra, India
  • Suruchi Dedgaonkar Vishwakarma Institute of Information Technology (VIIT), Kondhwa Bk., Pune – 411048, Maharashtra, India
  • Jayashri V. Bagade Vishwakarma Institute of Information Technology (VIIT), Kondhwa Bk., Pune – 411048, Maharashtra, India
  • Priya Shelke Vishwakarma Institute of Information Technology (VIIT), Kondhwa Bk., Pune – 411048, Maharashtra, India
  • Nilesh P. Sable Vishwakarma Institute of Information Technology (VIIT), Kondhwa Bk., Pune – 411048, Maharashtra, India

Keywords:

Machine Learning (ML), Body parameters, Critical condition, Woman, Security

Abstract

There is huge technological advancement in India in most of the sectors. Security of the woman is always a crucial factor. Only few percentages of the woman harassment cases are reported, out of happened. Looking at harassment statistics in the year 2021, we can say they are unable to ask for help and not able to use the facility. The reason can be woman can’t take any action manually whenever they able to recognize the critical condition, may be due to mental pressure. Currently electronic gadgets like smart watches are available in the market, which keep on measuring body parameters runtime. These observations can be used to identify the critical condition automatically. The challenge is changes in the body parameters during critical conditions cannot be monitored. Machine learning technique fuzzy system is proposed here to analyse the body parameters recorded. It ignores the normal condition based on the dataset feed and predict abnormal condition.

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Published

12.01.2024

How to Cite

Bhimanpallewar, R. N. ., Dedgaonkar , S. ., Bagade , J. V. ., Shelke, P. ., & Sable , N. P. . (2024). The Prediction of the Critical Condition for a Weak Entity Using Fuzzy System . International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 513–521. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4535

Issue

Vol. 12 No. 12s (2024)

Section

Research Article

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