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INTERNATIONAL JOURNAL OF RECENT TRENDS IN TECHNOLOGY AND ENGINEERING (IJRTTE)

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A Comprehensive AI-Enhanced Virtual Assistant Model for Personalized Elderly Care: Integrating Health Monitoring, Emotional Intelligence, and Assistive Technologies

Om Prakash Yadav
Associate Professor, School of Computer Science & Engineering, India.
Kalpesh Rasiklal Rakholia
Assistant Professor, Department of Information Technology, Parul Institute of Engineering and Technology, India.
K.Ruth Isabels
Associate Professor, Department of Mathematics, Saveetha Engineering College (Autonomous),, India.

Keywords: AI-enhanced elderly care, virtual assistant, health monitoring, emotion recognition, privacy-preserving AI

Abstract

The rising global elderly population presents growing challenges in healthcare, cognitive support, emotional well-being, and independent living. Existing AI-powered virtual assistants lack real-time adaptability, comprehensive emotional intelligence, privacy-preserving mechanisms, and holistic care integration, limiting their effectiveness for elderly users. This study proposes a comprehensive AI-enhanced virtual assistant framework that integrates real-time health monitoring, multimodal emotion recognition, cognitive support, and advanced privacy-preserving AI for personalized elderly care. The proposed system incorporates deep learning models for emotion detection (CNN and Transformer), elderly-optimized speech recognition (fine-tuned Whisper, wav2vec), and real-time health monitoring (LSTM for anomaly detection). The privacy layer includes federated learning, homomorphic encryption, and blockchain audit trails. Explainable AI modules (SHAP, LIME) enhance model transparency. Data were collected from diverse multinational datasets encompassing speech, emotion, physiological signals, and cognitive activities. The system achieved high performance across multiple modules: health monitoring accuracy of 96.8%, emotion recognition accuracy of 94.5%, fall detection precision of 98.2%, and speech understanding accuracy of 95.4%. User studies indicated a 92% improvement in independent living confidence and 41% reduction in caregiver workload. Privacy mechanisms achieved full compliance with HIPAA and GDPR regulations. The proposed AI-powered virtual assistant provides a highly adaptive, secure, and explainable platform for elderly care. Its comprehensive integration of healthcare monitoring, emotional intelligence, cognitive support, and privacy preservation significantly advances the state-of-the-art in personalized elderly care solution
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Published
2025-03-26
Pages
1-14
Issue
Vol. 4 No. 1 (2025): IJRTTE - 04 - 01
Section
Articles

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