Cognitive State Analysis System to Ensure Safety of Women and Elderly
Manikandan T.1, P. Surendar2, R.Tamilmani3
1Manikandan T., Assistant Professor, Department of Electronics and Communication Engineering, Vivekanandha College of Engineering for Women, New Delhi.
2P. Surendar, Assistant Professor, Department of Electronics and Communication Engineering, Vivekanandha College of Engineering for Women, New Delhi.
3R.Tamilmani, Assistant Professor, Department of Electronics and Communication Engineering ,Vivekanandha College of Engineering for Women, New Delhi.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 16, 2020. | Manuscript published on May 30, 2020. | PP: 544-547 | Volume-9 Issue-1, May 2020. | Retrieval Number: A1559059120/2020©BEIESP | DOI: 10.35940/ijrte.A1559.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Though we live in the 21st century with high degree of comfort and sophistication, we fail utterly in cases of women safety. Around 34,600 sexual molestation cases were reported against men in last 6 years in India. In 2017, everyday 6 sexual molestation cases are being reported in India, in an average. So, there is a huge and urgent need to re-fabricate the social fabric of the society to ensure women safety. Hereby, we propose a system of complete automation to ensure the safety of women which also enables us to identify and act accordingly in the cases of emergency. This system can be used to ensure the safety of any living individual. The main advantage of this system is that it does not require any action of the affected individual to get help, i.e., Supreme automation. It can be used to check the clean flow of life of individuals especially, the elders, women and kids. It enables us to help the needed in the exact time of need. This system works on the basis of the user’s cognitive state analysis (Normal/Unconscious/High alertness (Fear).
Keywords: Cognitive state, IR sensor, Pulse rate Sensor, ATMEGA 32, Safety Ensurance.
Scope of the Article: Predictive Analysis