International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI-Enabled Wearable Menstrual Health Monitoring System with Closed-Loop Biofeedback and Emotional Intelligence |
|---|---|
| ABSTRACT | Wearable healthcare technologies are transforming personal health monitoring; however, existing menstrual health solutions largely depend on manual inputs and lack real-time physiological analysis and adaptive intervention. This paper presents an AI-enabled wearable menstrual health monitoring system with closed-loop biofeedback and emotional intelligence for continuous and personalized healthcare support. The proposed system captures physiological signals, including Heart Rate Variability (HRV), Electrodermal Activity (EDA), and skin temperature, using integrated wearable sensors. These signals are processed through artificial intelligence algorithms to assess stress levels, pain intensity, and emotional states in real time. Based on the analysis, the system delivers adaptive therapy using vibration and thermal modules through a closed-loop biofeedback mechanism for effective pain management. Additionally, an emotional intelligence-based chatbot provides psychological support to help users manage stress and anxiety during the menstrual cycle. The system also performs long-term data analysis to identify menstrual patterns and detect irregularities for early diagnosis of potential hormonal imbalances. Experimental results indicate that the proposed system enhances monitoring accuracy, enables real-time intervention, and provides a comprehensive platform integrating sensing, analysis, therapy, and emotional support, thereby improving both physical comfort and emotional well-being. |
| AUTHOR | DR.M.SUGANTHI, R.NIVETHA, M.RANJANI, K.SHALINI, M.SWETHA Professor and Head, Department of Electronics and Communication Engineering (ECE), Mahendra College of Engineering, Salem, Tamil Nadu, India UG Students, Dept. of Electronics and Communication Engineering (ECE), Mahendra College of Engineering, Salem, Tamil Nadu, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404106 |
| pdf/106_AI-Enabled Wearable Menstrual Health Monitoring System with Closed-Loop Biofeedback and Emotional Intelligence.pdf | |
| KEYWORDS | |
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