IoT Smart Shoe Development with ESP32: Build & Innovate

Explore the ESP32 board’s dual-core CPU, onboard Wi‑Fi and Bluetooth connectivity, and security features such as secure boot and flash encryption for securing IoT devices.

Discover ESP32 power requirements, including a 2.2–3.6 v operating range, onboard ldo regulator, a 3.3 v supply pin, and sleep current under 100 microamperes for battery wearables.

Discover the ESP32 development board pinout, including vin and 3.3V power pins, ground, USB, boot and reset buttons, GPIO basics, PWM, DAC, ADC, I2C, SPI, and serial interfaces for IoT.

Program ESP32 with the Arduino IDE, MicroPython, or ESP-IDF and compare form factors from development boards to modules and SoCs; design for breadboard projects and scalable production.

Install the Arduino IDE by downloading Arduino IDE 2.2.1 for Windows or Mac OS, accept the license, and finish setup to write and upload programs to hardware.

Install the ESP32 Arduino core by adding the board manager URL, then install ESP32 boards via Boards Manager and select the ESP32 dev kit v1 for development.

Blink a light-emitting diode on an ESP32 to learn the hello world of microcontrollers, wire it to digital pin 25 with a resistor, then upload a forever on/off loop.

Explore how a force sensor, a transducer, converts applied force into resistance changes via a conductive film with micro-sized particles, enabling robotics, weighing, and aerospace applications.

Interfacing a force sensor with ESP32 demonstrates building a presence detector by wiring a 10 kilo ohm resistor in series between 3.3V and ground on breadboard and reading at D5.

Sense presence in a smart shoe with an ESP32 using a force sensor. Read voltage at d5 and output presence detected or not via serial monitor.

Learn to build a ten kilo ohm resistor in a potential divider with force sensor on ESP32, converting resistance changes to voltage, and reading 12-bit values on pin 33 (0-4095).

Understand how the MPU 6050's tri-axis accelerometer and gyroscope measure acceleration and angular velocity via Coriolis forces, enabling fitness devices, self-balancing robots, drone stabilization, and ESP32 interfacing.

Interface the MPU 6050 sensor with an ESP32 via I2C, using a two-wire connection (SDA and SCL) at address 0x68, and read sensor data.

Read accelerometer data from MPU 6050 with I2C on ESP32, initialize in Arduino IDE, convert 14-bit raw data to x y z angles using trig, and print to serial monitor.

Calculate step count from the MPU6050 accelerometer by computing current and previous magnitude, incrementing on a threshold, and printing results via serial on the ESP32 with the Arduino IDE.

Explore the blink IoT platform to connect hardware to the cloud, remotely control devices, visualize and analyze sensor data with the blink app, cloud, and libraries.

Discover the new Blynk IoT platform with Blynk dot 360 web dashboard, Blynk dot inject wifi manager, and device templates that enable data model updates, data streams, events, and dashboards.

Sign up for the Blynk Cloud platform, create a free account, verify via email, and explore the free plan to start building the smart shoe project.

Learn to build a smart shoe project in Blynk cloud by creating a template, data streams, a web dashboard with events and notifications, and provisioning a device from the template.

Log in to the blink IoT app, locate the smart shoe project, and design a mobile user interface with value display widgets for step count, calories burned, and presence sensing.

Install Blink library in Arduino IDE using Library Manager, install dependencies, and connect an ESP32 device to Blink Cloud with the firmware API and virtual pins for digital and analog.

Read values from MPU 6050 and force sensors to compute step count, calories burned, and present sensing, then connect ESP32 to Wi-Fi and send data to Blynk cloud via HTTP.

Define blink serial output and blink cloud connectivity to track smart shoe data, using MPU 6050 readings to compute angles, steps, and calories, with real-time blink dashboard.

Connect the ESP32 to four force sensors and MPU 6050 via I2C, using SDA pin 21, SCL pin 22, and D5 for presence detection, powered by 3.3V or 5V.

Watch a real-time demonstration of the ESP32-based smart shoe, with MPU6050 and force sensor hardware interfacing. See steps, calories, and presence on the app and dashboard, with five-step push notifications.