Gesture-Based Servo Control System

Developed a system to control servo motors based on predefined gestures using gyro sensors and wireless communication modules

Overview

This project focused on designing and implementing a gesture-based servo control system. It aimed to improve smart factory automation by recognizing specific gestures and wirelessly transmitting motion data for real-time monitoring.

Transmit and Receive Workflow

1. Transmit (Sender) Part

  • Components:

    • Touch Sensor: Detects user input and triggers data t— layout: page title: Gesture-Based Servo Control System description: “Developed a system to control servo motors based on predefined gestures using gyro sensors and wireless communication modules” img: assets/img/thumb_embeded.png importance: 3 category: fun

Overview

This project focused on designing and implementing a gesture-based servo control system. It aimed to improve smart factory automation by recognizing specific gestures and wirelessly transmitting motion data for real-time monitoring.

Transmit and Receive Workflow

1. Transmit (Sender) Part

  • Components:

    • Touch Sensor: Detects user input and triggers data transmission.
    • Gyro Sensor (MPU6050): Measures acceleration and angular velocity for specific gestures.
    • XBee Module: Transmits the processed data to the receiver.

  • Process:

    1. The user performs a gesture detected by the gyro sensor.
    2. The touch sensor confirms gesture completion.
    3. Data is packaged and sent via XBee to the receiver.

2. Receive (Receiver) Part

  • Components:

    • XBee Module: Receives data transmitted by the sender.
    • LCD Display: Visualizes the recognized gesture and corresponding motor action.
    • Servo Motors: Executes actions based on the received data.

  • Process:

    1. The XBee receiver module captures data.
    2. The system processes incoming data to classify gestures.
    3. Results are displayed on the LCD and executed by servo motors.

Key Contributions

  • Developed a system for recognizing 8 predefined gestures using gyro sensors and controlled servo motors based on these inputs.
  • Utilized XBee wireless communication to transmit data between the sender and receiver units.
  • Designed a system to visualize motion patterns on an LCD based on real-time sensor input.

Tools and Technologies

  • Arduino Zero: For controlling servo motors and integrating sensors.
  • MPU6050 Gyro Sensor: Used for motion detection and analysis.
  • XBee Modules: Enabled wireless communication between devices.
  • MATLAB: For data preprocessing and visualization.

Demo and Documentation

– Demo videos

  • full video
  • receive & transmit part

Receive

Transmit

– Presentation You can view the documentation below or download the PDF(in Korean).

Results

  • This project demonstrated the feasibility of using wireless gesture control for smart factories, reducing human intervention while maintaining high accuracy in servo motor control.

  • Future improvements could include:

    • Enhanced classification algorithms using machine learning.
    • Self-contained gesture detection without requiring touch sensor validatio ransmission.
    • Gyro Sensor (MPU6050): Measures acceleration and angular velocity for specific gestures.
    • XBee Module: Transmits the processed data to the receiver.
  • Process:
    1. The user performs a gesture detected by the gyro sensor.
    2. The touch sensor confirms gesture completion.
    3. Data is packaged and sent via XBee to the receiver.

2. Receive (Receiver) Part

  • Components:

    • XBee Module: Receives data transmitted by the sender.
    • LCD Display: Visualizes the recognized gesture and corresponding motor action.
    • Servo Motors: Executes actions based on the received data.

  • Process:

    1. The XBee receiver module captures data.
    2. The system processes incoming data to classify gestures.
    3. Results are displayed on the LCD and executed by servo motors.

Key Contributions

  • Developed a system for recognizing 8 predefined gestures using gyro sensors and controlled servo motors based on these inputs.
  • Utilized XBee wireless communication to transmit data between the sender and receiver units.
  • Designed a system to visualize motion patterns on an LCD based on real-time sensor input.

Tools and Technologies

  • Arduino Zero: For controlling servo motors and integrating sensors.
  • MPU6050 Gyro Sensor: Used for motion detection and analysis.
  • XBee Modules: Enabled wireless communication between devices.
  • MATLAB: For data preprocessing and visualization.

Demo and Documentation

– Demo videos

  • full video
  • receive & transmit part

Receive

Transmit

– Presentation You can view the documentation below or download the PDF(in Korean).

Results

  • This project demonstrated the feasibility of using wireless gesture control for smart factories, reducing human intervention while maintaining high accuracy in servo motor control.
  • Future improvements could include:
    • Enhanced classification algorithms using machine learning.
    • Self-contained gesture detection without requiring touch sensor validatio