A smart community interactive art therapy platform based on multimodal computer graphics and resilient artificial...

Area of Science:

• Gerontology
• Human-Computer Interaction
• Artificial Intelligence

Background:

• Home-based elderly care faces challenges in providing comprehensive support.
• Existing solutions often lack personalization, engagement, and scalability.
• There is a need for innovative technological interventions to enhance senior well-being.

Purpose of the Study:

• To introduce a smart community interactive art therapy platform for home-based elderly care.
• To leverage multimodal computer graphics and AI for personalized therapeutic interventions.
• To evaluate the platform's performance, user satisfaction, and long-term engagement.

Main Methods:

• Developed a four-layered hierarchical architecture (perception, network, platform, application).
• Implemented multimodal data fusion for visual, auditory, and haptic inputs.
• Utilized resilient AI adaptation mechanisms for continuous user experience optimization.

Main Results:

• Achieved rapid response times (387 ms) under high user load (100 concurrent users).
• Demonstrated high therapeutic recommendation accuracy (87.3%) and user satisfaction (4.2/5.0).
• Ensured high service availability (99.7%) and improved CPU utilization (34% reduction).

Conclusions:

• The platform effectively addresses limitations in traditional elderly care models.
• It provides cognitive, emotional, and social support, fostering sustained engagement.
• The system is cost-effective, scalable, and suitable for smart community deployment.