Exercise Reminder App

detect with yoloV8
detect with yoloV8

Inspiration

Studies have shown that being sedentary is one of the biggest bad habits of children addicted to electronic devices.

Habit description: Children watch TikTok or play video games for long periods, resulting in a sedentary lifestyle, staying in the same position for extended periods, and a lack of physical activity and movement.

Impact: This behavior increases the risk of obesity, myopia, and cardiovascular disease, negatively affecting physical health and quality of life.

What it does

The app monitors and analyzes the user's app activity in real time. If prolonged recreational activity is detected on the mobile device, the app assigns random physical activities. Access to device functionality is restored only after these activities are completed and verified by computer vision detection.

How we built it

We used Vue for the front-end interactive pages and trained datasets with YOLOv8 to detect human activities.

Challenges we ran into

The time was too short to build a complete app to integrate YOLOv8 for interaction. The training time for YOLOv8 was also insufficient, and it did not meet the accuracy requirements.