Dual-Model YOLOv7-Based Image Recognition System to Simplify Data Entry for the Elderly in Mobile Health

To enhance data entry efficiency and accessibility for elderly users, we have developed a dual-system model based on YOLOv7 that automatically identifies the values of medical equipment. This model has been applied in long-term care environments and validated through 30 internal photographs as the test set. In real-world implementation, the system demonstrated 92.5% improvement in efficiency. We aim to reduce the burden on elderly users while ensuring accurate health data collection and plan to expand this application to various mobile health devices in the future.