Personalized and Interactive Demented Care and Learning Mate with a Virtual System Using Emotion Recognition

• Main Authors: Kaushan, Nipuna, Fernando, Devshan, Gayashan, Chamod, Udayakantha, Sachitha, De Silva, Hansi, Perera, Sanduni
• Format: Conference Proceeding
• Language: English
• Subjects: Blood pressure monitoring; Cloud-based servers; CNN; Dementia; Emotion recognition; Global Positioning System; Humidity; IOT Technology; Real-time systems; Safety; Security; Software
• ISSN: 2837-5424
• DOI: 10.1109/ICAC60630.2023.10417363

This study investigates the development and application of a personalized, interactive virtual system to enhance dementia care and protect people with dementia. A significant challenge in providing care for individuals with dementia is the propensity to wander and become lost, which can lead to anxiety and distress for both the patient and the carers as well as safety concerns. The system combines cutting-edge emotion recognition technology and healthcare IOT technology to effectively identify and provide real-time solutions in response to users' emotional states. This initiative combines dementia care, educational support, and patient security to establish a comprehensive strategy for maintaining well-being and managing the disease in dementia patients. This project has experimentally designed a security system to enhance the safety of dementia patients, a Health Checker system aimed at maintaining their health stability, and a virtual assistant that offers guidance by identifying real-time emotions and providing activities to improve cognitive function and promote relaxation Given a vast amount of patient data, the AI model has been able to identify 98% of patients' illnesses early. security software successfully detected patients with 99% accuracy using GPS technology and machine learning algorithms.