Augmented memory: Wearable AI assistant supporting daily activities for dementia patients

This article examines the development of a wearable multimodal AI system designed to support individuals living with dementia through the integration of computer vision, natural language processing, and context-aware large language models. The system aims to address critical gaps in existing assistive technologies by providing real-time cognitive support that enhances independence and quality of life. Through wearable form factors such as smart glasses or camera-equipped pendants, the technology captures and processes environmental cues and social interactions to deliver contextually appropriate reminders and assistance. The article presents a comprehensive framework covering theoretical underpinnings, technical architecture, implementation challenges, and potential healthcare integration pathways. Drawing on extensive research into dementia pathology and current assistive technologies, the proposed system balances edge and cloud computing to optimize performance while maintaining privacy and security. User experience considerations examine form factor preferences across different demographic groups and interface design principles tailored to cognitive limitations. The article highlights significant challenges in computational constraints, connectivity requirements, and social acceptability while offering promising directions for future development, clinical validation, and healthcare system integration.