Abstract
This defensive publication discloses a novel system that integrates memory augmentation with comprehensive health monitoring and personalized concierge services for users across all age demographics. The Enhanced Memory and Health Augmentation System (EMHAS) utilizes artificial intelligence to create a secure, privacy-preserving platform that continuously collects, analyzes, and correlates multimodal data including health metrics, behavioral patterns, and personal memories. Key innovations include: (1) a Selective Memory Capture Architecture with age-adaptive interfaces; (2) a Health Integration and Monitoring Engine for continuous biometric tracking; (3) a Federated Personalization Engine employing on-device processing for privacy protection; (4) a Contextual Memory Retrieval System providing anticipatory recall; (5) a Virtual Concierge Service delivering 24/7 personalized assistance; (6) a Quantum-Secured Memory Vault with granular access controls; and (7) an Adaptive Interface System optimized for different age groups from children to seniors. This system enables longitudinal health tracking, early anomaly detection, medication management, family memory sharing, and emergency response capabilities while maintaining robust privacy protections. The publication includes detailed technical implementations, algorithms, and a comprehensive business model to establish clear prior art in this domain.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Bharathan, Ramkumar, "Enhanced Health and Memory Augmentation System: An Integrated Approach to Age-Adaptive Health Monitoring and Cognitive Support", Technical Disclosure Commons, (May 20, 2025)
https://www.tdcommons.org/dpubs_series/8141