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This paper suggests a real-time emotion recognition and intervention system for DHD and OCD patients, and more importantly, individuals working in extreme stress situations like train drivers or trauma victims. Contrary to conventional approaches using self-report, this system incorporates face detection and biological sensors—temperature, sweating, and accelerometer—to track continuously both body and emotional states. Powered by Artificial Intelligence (AI) and Emotional Intelligence (EI), it senses changes in emotion and initiates non-invasive treatments such as vibration motors. It has a hybrid mode to function even without facial input to provide seamless support and immediate response in real-world settings.
Keywords:
Emotion Detection, Mental Health Monitoring, DHD, OCD, Real-Time Monitoring, Facial Recognition, Physiological Sensors, AI, EI, Non-Invasive Intervention, Hybrid System.
Cite Article:
"Non - Invasive Headcap for Mental Stress Reduction", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a705-a710, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505084.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator