tricot-malin

Tricot Malin (smart sweater in French) is a smart t-shirt that makes it possible to interact with the digital environment that surround us through the use of simple gestures.

Materials

• 1 JeeNode v6: microcontroller running at 3.3V
• 2 Sparkfun LSM9DS0 breakout board: inertial measurement units, one for each arm
• 2 RedBearLab BLE Mini: Bluetooth modules
• 2 RGB LED strips of AdaFruit NeoPixel: luminous feedback, one for each arm
• 1 buzzer: sonorous feedback
• Jumper wires (a lot!): to connect everything together
• FTDI USB to serial board: to upload code to the JeeNode

Requirements

• Python 2.7
• Arduino IDE
• Sparkun LSM9DS0 Arduino Library
• Adafruit NeoPixel Arduino Library
• BLE Mini HCI Library

Instructions

1. Upload the HCI UART slave firmware to the BLE Mini which will be connected to the JeeNode.
2. Connect the components to the JeeNode according to the schematic using the jumper wires.
3. Upload the code arduino/orientation_to_bluetooth/orientation_to_bluetooth.ino to the JeeNode:

• Connect the JeeNode to your computer with a FTDI USB to serial board, such as the USB BUB II.
• Open the code in the Arduino IDE.
• Select Arduino Uno as board and the appropriate serial port.
• Disconnect BLE Mini from TX and RX pins.
• Press upload.
• Reconnect BLE Mini to TX and RX pins.

4. Connect the BLE Mini containing the HCI central firmware to your computer with a Micro USB cable.
5. Set the global variable TX.Port in bluetooth/bluetooth_central.py to the approriate port to which the BLE Mini is connected.
6. Run the Python code bluetooth_central.py:

• Press n to enable notifications and then d to search for BLE modules nearby.
• After the discovery, press e to establish the connection to the BLE module connected to the JeeNode.
• When the connection is successful, press n again to start the communication.
• To end the execution, press q and then close any visualization window.

Usage

• Turning an arm by 180° will trigger the corresponding action.
• When a gesture is detected, the LEDs of the arm will shortly turn on.
• When the lights turn off, a new gesture is ready to be detected.
• The gesture of each arm has its own an independent associated action.

Documentation

All the project's documentation is available at our Wiki.