Smart Glove

This project implements a wearable Smart Glove using an ESP32, five flex sensors, and an MPU6050 IMU to read hand gestures and potentially translate them into speech. The glove can be used for applications such as sign language interpretation, gesture-controlled interfaces, or rehabilitation monitoring.

---

Features

• Reads analog values from 5 flex sensors (one for each finger)
• Reads accelerometer and gyroscope data from MPU6050
• Uses ESP32 for processing and communication
• Serial monitor prints mapped values and gesture classification
• Values recognized and mapped to character
• Using Wi-Fi module on ESP32 the character is sent to Flutter Application- SignWave
• The application using google text to speech converter to convert the received character to speech

---

Hardware Used

• ESP32 DevKit V1 (or similar)
• MPU6050 6-axis accelerometer + gyroscope
• 5x Flex Sensors (resistive bend sensors)
• 10kΩ resistors (for voltage dividers with flex sensors)
• LiPo Battery (3.7V) with TP4056 charging module (for portability)
• Breadboard / PCB
• Wires and a glove

---

Pin Connections

• As shown in the attached circuit diagram

---

Libraries Required

Install the following libraries via Arduino Library Manager:

• Adafruit MPU6050
• Adafruit Unified Sensor
• Wire

Note:

• the program Flex_Reading directly reads the flex sensors and sends the data to the device.
• before using please put appropriate Wi-Fi SSID and Password
• the program interpreter involves MPU values which might vary from place to place, caliberate your MPU before using

---