Blink talk: A machine learning-based method for women safety using EEG and eye blink signals

Author:

Priya K. Shanmuga,Vasanthi S.,R Nithyanandhan,G Vinoth Chakkaravarthy,P Golda Jeyasheeli,M Karthiga,C Pandi

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference20 articles.

1. Design and implementation of women safety system based on Iot technology;Sathyasri;Int. J. Recent Technol. Eng.,2019

2. Survey on women safety using IOT;Bala;International Journal of Computer Engineering in Research Trends,2018

3. Intimate partner violence against women in the Arab countries: a systematic review of risk factors;Mojahed;Trauma Violence Abuse,2022

4. Detection of EEG-based eye-blinks using a thresholding algorithm;Tran;European Journal of Engineering and Technology Research,2021

5. An FPGA-embedded brain-computer interface system to support individual autonomy in locked-in individuals;Palumbo;Sensors,2022

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Integrated Mobile Applications for Enhancing Women’s Safety – A Comprehensive Approach;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16

2. Design and Development of IoT based Smart Women Security Gadget;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

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