Basic smartwatch implementations often focus on displaying time or simple notifications, offering limited situational awareness. For use cases involving children, pets, or elderly individuals, there is a need for additional intelligence—such as movement tracking, orientation awareness, and environmental monitoring. Without integrated dashboards and real-time sensor interpretation, it becomes difficult to remotely observe motion patterns, detect abnormal activity such as falls, or understand surrounding conditions.
This project extends an earlier IndusBoard Coin–based smartwatch by adding movement tracking and an IoT dashboard. The system leverages the board’s built-in sensors to collect motion, direction, and environmental data, which is then transmitted over Wi-Fi to a web-based dashboard. By processing accelerometer and magnetometer data, the smartwatch can detect movement, orientation relative to Earth’s magnetic field, and sudden acceleration changes that may indicate falls or unusual activity.
Key Features
- Wi-Fi–enabled IoT smartwatch based on IndusBoard Coin
- Real-time movement and motion detection using accelerometer data
- Direction and orientation calculation using magnetometer readings
- Fall detection logic based on rapid acceleration changes
- Monitoring of surrounding temperature and environmental parameters
- Web-based dashboard displaying live sensor data
- Touch-enabled round display for on-device interaction
- Battery-powered operation for wearable use
Applications
- Movement tracking for children, pets, and elderly individuals
- Fall detection and activity monitoring in home-care scenarios
- Smart wearables for safety and situational awareness
- IoT-based health and activity monitoring prototypes
- Learning platform for embedded IoT, sensor fusion, and dashboards
This smartwatch implementation demonstrates how sensor fusion, wireless connectivity, and compact embedded hardware can be combined to build practical IoT wearables. Platforms like the IndusBoard Coin, with integrated motion, magnetic, and environmental sensors, enable developers to experiment with real-time tracking, dashboard visualization, and safety-focused applications. Such projects offer a solid foundation for exploring advanced wearable systems and connected monitoring solutions.