Squats Counter Using TensorFlow Lite and Tiny Motion Trainer

This 'Arduino Nano 33 BLE Sense' based Squats counter can count the number of Squats performed by an individual using the Accelerometer readings and TinyML based Machine learning model.

Hardware:

1. Arduino Nano 33 BLE Sense
2. USB to Micro USB Type B Cable

Software:

1. Arduino IDE
2. Tensorflow Lite

The Squats counter can detect squats by measuring the accelerometer readings and prints them on the Serial monitor.

The device is to be attached to the individual's thigh and can be powered using a power bank or a battery.

I am using this complementary Google IO kit from Sparkfun which includes the Arduino Nano 33 BLE Sense which is capable of running TinyML projects with ease.

1. Upload the tf4micro-motion-kit code to the Arduino Nano 33 BLE Sense

2. After uploading the code, open the (Tiny Motion Trainer Experiment) by Google and pair the Bluetooth device with the laptop.

Update the code as per your requirements or use mine: BLE_Sense_Arduino_Code

Place the device on your thigh using a Hook and Loop fastener (Velcro tape)