https://github.com/sarabdevops/gesture-ui-project
Using gestures to control a device such as a Robot, game or Lego Mind storms. There are numerous devices that are gesture based that can be used for this project.
https://github.com/sarabdevops/gesture-ui-project
arduino arduino-ide arduino-library arduino-uno gesture gesture-recognition myo myo-armband tank-rp5-chassis
Last synced: about 1 month ago
JSON representation
Using gestures to control a device such as a Robot, game or Lego Mind storms. There are numerous devices that are gesture based that can be used for this project.
- Host: GitHub
- URL: https://github.com/sarabdevops/gesture-ui-project
- Owner: sarabDevOps
- License: mit
- Created: 2020-12-11T01:52:39.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2020-12-11T02:52:04.000Z (over 5 years ago)
- Last Synced: 2025-01-23T19:24:50.132Z (over 1 year ago)
- Topics: arduino, arduino-ide, arduino-library, arduino-uno, gesture, gesture-recognition, myo, myo-armband, tank-rp5-chassis
- Language: C++
- Homepage:
- Size: 564 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Gesture UI
As part of the Gesture based module we are required to complete a gesture based project. Using gestures to control a device such as a Robot, game or Lego Mindstorms. There are numerous devices that are gesture based that can be used for this project. The Myo Armband is a device that sits over your forearm and reads the electrical activity produced by skeletal muscles using EMG (electromyographic) sensors. The Kinect is a device with an RGB camera with depth sensor and infrared projector with a monochrome CMOS sensor which sees the environment not as a flat image, but as dots arranged in a 3D environment. Cortana is an intelligent personal assistant that responds to voice commands. The Leap Motion consists of two cameras and three infrared LEDs. This tracks infrared light to capture the position of the hand.
For our gesture based project we are going to use the Myo Armband to control a Robot Tank RP5. This is an Arduino based project that uses the MyoDuino library to communicate between the Myo Armband and the Arduino UNO, the Arduino UNO communicates with the Adafruit Motorshield to control the motors of the robot tank.
## Getting Started
Download and extract the zip folder here [GestureUI](https://github.com/sarabDevOps/Gesture-UI-Project/archive/main.zip)
### Prerequisites
Tank RP5 Chassis (SKU:ROB0007) - Website [here](https://www.dfrobot.com/wiki/index.php/Tank_RP5_Chassis_(SKU:ROB0007))
Arduino UNO - Website [here](https://www.arduino.cc/en/Main/ArduinoBoardUno)
Adafruit Motor Shield V2.3 - Website [here](https://www.adafruit.com/products/1438)
Myo Armband - Website [here](https://www.myo.com/)
MyoDuino Project - Website [here](https://market.myo.com/app/54bd7403e4b00db53ad527a2/myoduino-)
Arduino IDE - Website [here](https://www.arduino.cc/en/main/software)
### Installing
**Step 1**. For software/hardware see Prerequisites. For versions of Prerequisites used in this project see **Built With** section.
**Step 2**. Import the myoDuino Project library into your Arduino IDE - Follow steps as laid out in MyoDuino Project pdf.
**Step 3**. Attach Adafruit Motor Shield board to Arduino UNO board - Follow steps as laid out in [video tutorial](https://www.youtube.com/watch?v=vN_gcyWKCxY)
**Step 4**. The Tank RP5 Chassis comes ready to go with two DC motors built into frame. Video [link](https://www.youtube.com/watch?v=vN_gcyWKCxY) shows how to connect the motors to the Adafruit Motor Shild DC motor connections M1, M2, M3, M4. Connect each motor to one of these connections.
**Step 5**. Connect the power cable to the Adafruit Motor Shield board. The connections says power on the board with a plus and minus either side.
**Step 6**. Run the Arduino IDE and save the file in your project folder along with the myo32.dll and the MyoDuino.exe. You will find the myo32.dll and the MyoDuino.exe in the bin folder of the MyoDuino Project.
**Step 7**. Copy and paste code from code.ino file in code [folder](https://github.com/seanJosephFitzpatrick/Gesture-UI-Project/tree/master/code).
## Deployment
**Step 1**. Set up Myo Armaband - See [Myo Suport](https://support.getmyo.com/hc/en-us) for setting up the Myo on your device.
**Step 2**. Connect the Tank RP5 Chassis with an A male to B male cable. Connect the A male side of the cable to your laptop device and the B male side of the cable to the Arduino UNO Barrel Jack on the Tank RP5 Chassis.
**Step 3**. Run the MyoDuino.exe and select the correct port and press connect - See the MyoDuino pdf.
## Built With
Tank RP5 Chassis (SKU:ROB0007) - Hardware
Arduino UNO - Hardware
Adafruit Motor Shield V2.3 - Hardware
Myo Armband, Gesture Control Armband - Hardware
MyoDuino Project - Software
Arduino IDE V1.8 - Software
## Author
[Sarabjeet ](https://github.com/sarabDevOps/Gesture-UI-Project)
## License
This project is licensed under the [MIT](https://github.com/sarabDevOPs/Gesture-UI-Project/blob/master/LICENSE) License