Daily weight measurement is often skipped or forgotten due to its inconvenience, which becomes a barrier to consistent health monitoring.This project introduces a smart weight measurement system that automatically records your weight just by sitting on the toilet seat.
Built-in sensors capture your body weight and send the data directly to the cloud, making it easily viewable through a web interface on smartphones or PCs.By eliminating the effort of manual measurement, this system promotes a more sustainable and effortless approach to health management.
π§ Components UsedM5Stack
Microcontroller for measurement and communication
Load Cells (x4)
Sensors for detecting weight
HX711
High-precision ADC for load cells
Toilet Seat + Hand Tools
Base for installation and mechanical modification
AWS (RDS, etc.)
Cloud database for storing and retrieving measurement data
Web App (HTML/CSS/JavaScript)
Frontend interface to display and manage the data
π Development Process1. Modifying the Toilet Seat- Four load cells were mounted under the toilet seat in a 4-point configuration.
- Sensor positions and heights were carefully adjusted to ensure balanced load distribution.
- Each load cell was connected to an HX711 module, which was then connected to the M5Stack.
- Special care was taken with wiring length and insulation to minimize electrical noise.
- Programmed using Arduino IDE, the M5Stack reads the weight data and performs averaging/filtering.
- The data is then transmitted to AWS via Wi-Fi using HTTP requests.
- A simple yet effective web app was created to visualize the weight history.
- Users can view their data on smartphones or PCs with graphical representation and date-based filtering.
- Prototype #1: Exposed issues with sensor alignment and measurement accuracy.
- Prototype #2: Improved with better sensor positioning and structural support, resulting in more stable and accurate readings.
π Summary
- Innovative integration of a toilet seat and a weight scale to eliminate the need for manual measurement.
- End-to-end system built: sensor data acquisition, cloud integration, and web-based display.
- Clear explanation of the process, challenges, and improvements, accompanied by visual documentation.
- Effortless weight logging encourages habit formation for health management.γPotential applications include elderly care and medical monitoring in the future
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