Abstract
In this paper, brain–computer interface (BCI)-based fear signal detection and subsequent self-defense system has been presented. Self-defense is a countermeasure that involves protecting the health and well-being of oneself from detriment by others including human beings, animals. The system aims at designing an automated alert mechanism that operates involuntarily by taking into consideration the biological signals of a human being without the knowledge of the victim. This device is known as Silent Alert Self-Defense System (SiLERT). It is a small device that may be embedded in a cap, which monitors the human heartbeat rate and brainwaves to detect the fearful condition of a person when he is in danger. Upon detection of fear signals, the system automatically dials and sends emergency alert information including the location of the user via GPS to some predefined mobile numbers silently without the knowledge of the victim and attacker for help. The system has been designed and implemented using heartbeat and brain sensors along with a microcontroller to do the necessary steps. Real-time experimental results for two cases performed on two persons show the normal as well as fear state of mind. The GSM module attached to the system which automatically sends alert to the predefined mobile numbers is clearly shown experimentally.
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Chakraborty, R., Chattopadhyay, A.K., Kairi, A., Chakraborty, M. (2019). Brain–Computer Interface-Based Fear Detection: A Self-defense Mechanism. In: Chakraborty, M., Chakrabarti, S., Balas, V., Mandal, J. (eds) Proceedings of International Ethical Hacking Conference 2018. Advances in Intelligent Systems and Computing, vol 811. Springer, Singapore. https://doi.org/10.1007/978-981-13-1544-2_14
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DOI: https://doi.org/10.1007/978-981-13-1544-2_14
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