Publication Type : Conference Paper
Publisher : Springer Singapore
Source : Sustainable Communication Networks and Application: Proceedings of ICSCN 2020 Pages 321-330, 2021
Url : https://link.springer.com/chapter/10.1007/978-981-15-8677-4_26
Campus : Amritapuri
School : School of Engineering
Department : Electronics and Communication
Year : 2021
Abstract : In this modern era, women have shown excellence in all walks of life and stand equally with men in all sectors. So has increased violence against women due to this exposure. Hence, women security during travel is one of the critical issues faced by society, from the past and even today. The paper aims at providing a technological solution to this problem. For this, a system for forewarning and safeguarding the female cab users using machine learning is developed. An Android application is developed to collect data, and a virtual panic environment was created to collect the anomalies. The accelerometer data along the three coordinates was captured corresponding to normal and anomalies. Three machine learning models viz support vector machines, logistic regression, and Naïve Bayes are trained on data collected, and their test performance is compared in terms of accuracy. This trained model is further integrated with an Android application for real-time data collection and feedback.
Cite this Research Publication : Hariharan, K. et al. (2021). A Comprehensive Study Toward Women Safety Using Machine Learning Along with Android App Development. In: Karuppusamy, P., Perikos, I., Shi, F., Nguyen, T.N. (eds) Sustainable Communication Networks and Application. Lecture Notes on Data Engineering and Communications Technologies, vol 55. Springer, Singapore.