Chiroproctor

Chiroproctor - An IOT solution to help people maintain good postures.

Using data collected from accelerometer and gyroscope, the ML model (LSTM + Dense network) predicts the user's current posture and send a notification to the user if he/she stay in a bad posture for some time.

BLE is used for SensorTag to Gateway communication and MQTT is used for Gateway to Cloud communication.

Click here to see the architecture and design decision

Click here to see the demo

Team members:

• Aldo Maximillian Sugito
• Ivander Jonathan Marella Waskito
• Justin Tzuriel Krisnahadi
• Hubertus Adhy Pratama Setiawan

Running the project

Setting up the environment

On the cloud and the gateway, run:

python3 install -r requirements.txt

Running the code

On the cloud, run:

python3 model.py

On the gateway, run:

collect_data.sh