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/Audio Displays & Interactive Media/LED Matrix & Cube Displays/IoT Smartwatch for Movement Tracking
Intermediate
ESP32
₹1,500 – ₹5,000
3 – 6 Hours
Partial Kit
IoT Smartwatch for Movement Tracking
A DIY IoT smartwatch built using the IndusBoard Coin that tracks movement, fall detection, direction, and surrounding temperature via a custom web dashboard.
This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.
The IoT Smartwatch for Movement Tracking is built around the IndusBoard Dev Board, which acts as the central processing unit and handles wireless communication. The system is powered by a 3.3V battery and connected using a USB Type C Adapter for programming and charging. For visual output and user interaction, the device features a Round Touch Display powered by the GC9A01 driver and CST816S capacitive touch driver. This round display communicates with the microcontroller to render a custom graphical user interface, allowing users to navigate through menus and view real-time data directly on the wrist. The integrated software, written in Embedded C++ using the Arduino IDE, sets up a local web server to transmit sensor data over the internet. This setup enables the microcontroller to process movement, monitor changes in direction and temperature, and detect sudden acceleration shifts such as falls. The processed telemetry is then packaged and sent to a custom web dashboard, giving remote observers live updates regarding the wearer's activity levels, safety status, and immediate surrounding environment.
Why Build This
Develop practical undergraduate-level experience in integrating embedded microcontrollers with round capacitive touch displays and web servers.
Implement real-world Internet of Things (IoT) architectures by transmitting sensor telemetry to a custom remote dashboard.
Design safety-critical wearable prototypes capable of tracking movement, environmental temperature, and fall detection for vulnerable individuals.
Real-World Application
Tracking the movements, activity levels, and falls of kids, pets, patients, and elderly individuals to ensure their safety and monitor their immediate surroundings.
Skills You'll Learn
Embedded C++ programming
I2C and SPI communication protocols
capacitive touch driver integration
microcontroller-based web server deployment
wearable power management
sensor data processing
Safety Precautions
Ensure proper battery voltage handling when powering the device with a 3.3V battery.
Technology Tags
IOT
SMARTWATCH
WEARABLES
ACCELEROMETER
MAGNETOMETER
WI-FI
EMBEDDED C++
Frequently Asked Questions
Yes, the project utilizes the Arduino IDE along with Embedded C++ to write and upload the web server and display control code to the IndusBoard.
The onboard ESP32-based IndusBoard hosts or connects to a network, running a built-in web server that transmits real-time telemetry data directly to your custom dashboard.
The GC9A01 drives the round visual display, while the CST816S handles the capacitive touch functionality, allowing users to interact directly with the smartwatch interface.
Gallery
This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.
Kitkraft Project Hub — curated from the maker community, credited at the source.