Description: 1. Introduction: TinyML DIY Fitness Tracker is an open-source project that utilizes Raspberry Pi Pico for building a lightweight, wearable fitness tracking device using machine learning algorithms through TinyML technology. 2. Components: Key components include Raspberry Pi Pico microcontroller, accelerometer sensor, heart rate sensor, USB power bank, and necessary wiring materials. 3. Features: Tracks steps taken, distance covered, calories burned, and heart rate in real-time; Stores data locally on the device or sends it to a cloud server for analysis and visualization using APIs like Google Fit; Can be customized with various machine learning models for advanced features, such as fall detection. 4. User Interface: Features an easy-to-read OLED display that shows real-time data, including steps taken, heart rate, and calories burned. Users can interact with the device using simple button controls. 5. Portability and Comfort: Compact size and lightweight design make it ideal for
| Specification | Details |
|---|---|
| Microcontroller | Raspberry Pi Pico (RP2040) - 32-bit ARM Cortex M0+ CPU 2x SPI interfaces and USB OTG |
| Operating System | MicroPython or CircuitPython (TinyML-based operating systems) |
| Memory | 264 KB RAM 16 MB Flash storage (on-board microSD card slot for expansion) |
| Power Supply | USB-C power supply 5V input (3.7V Li-ion battery support via external adapter or on-board battery) |
| Connectivity | Bluetooth Low Energy (BLE) Wi-Fi (via optional USB dongle) and I2C SPI UART for sensors |
| Sensing Capabilities | Accelerometer (3-axis) Gyroscope (3-axis) Magnetometer (3D orientation detection) |
| Fitness Tracking Features | Step counter distance tracker calories burned estimator sleep analysis and heart rate monitoring |
| TinyML Model | Pre-trained machine learning model for fitness tracking (e.g. accelerometer-based activity recognition) |
| Communication | BLE (BLE 5.0) for smartphone connectivity supports iOS and Android devices |
| Water Resistance | IP67 rating - can withstand immersion in water up to 1 meter for up to 30 minutes |
| Battery Life | Up to 10 days of battery life (depending on usage patterns and power-saving settings) |
| Dimensions | 45.5 x 26 x 12 mm weight: approximately 25 grams |
1. Overview: The Infrared (IR...
1. Comprehensive IoT Solution...
1. The MXChip Microsoft Azure...
1. The RC522 RFID 13.56MHz Re...
1. The Arduino Tiny Machine L...
1. The RC522 RFID 13.56MHz Re...
1. HT12D Overview: HT12D is a...