AI-Powered Remembrance System for Cognitive Impairments
Cognitive impairments caused by disorders like Alzheimer's disease and dementia prevent individuals from performing daily tasks and thinking independently. An ageing population suffers from these disorders, and hence, there is a requirement for navigation, reminder, and personal interaction support technologies. This paper describes a real-time support and navigation system that combines Gemini AI and facial recognition technology to provide intelligent support to patients with these disorders. The system uses machine learning and Raspberry Pi technology to recognize faces and thus differentiate between caregivers, family, and friends, facilitating more personal interaction. Through audio notification and real-time monitoring, patients can move about their environment safely, while caregivers are reminded and alerted in a timely manner, reducing their workload and patient risk. The results shows that the system provided accurate facial recognition and adaptive real-time prompting with the accuracy of 90%, allowing patients to carry out daily activities with minimal signs of confusion. Auditory prompting and navigational assistance significantly enhanced patient independence and decreased caregiver intervention frequencies, lowering the occurrence of interaction accidents. The technology used in this research is a major step forward in healthcare because it allows for increased patient independence while facilitating caregiving for healthcare workers.
Authors
- Revathi Sathiya Narayanan (ORCID: https://orcid.org/0000-0001-9584-5089)
- A Kuberan
- Abdul Razzaq AR
Institutions
- B.S. Abdur Rahman Crescent Institute of Science & Technology (IN)
Publication Details
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1109/icdsbs63635.2025.11032075
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00