This project is still in a beta phase, where drastic changes may occur and backwards compatibility is not guaranteed until the final release.
Using a fabric to sense the touch is now possible with the E256 - eTextile matrix sensor. The E256 development kit is a highly customizable solution for designers, makers, and companies who want to combine textile and programming into new eTextile projects. This kit features 30cm by 30cm sensitive textile that allows multi-touch sensing and pressures topographic analysis. Made out of conductive textile shaped in rows and columns and a layer of piezoresistive fabric, this textile sensor is designed to be easy to make. The E256 firmware implements all the functionalities to sense the touch and trigger OSC messages that can be used in many application such as PureData, SuperCollider, etc. The E256 firmware is running on Teensy 3.1 & 3.2 MCUs. The electronic hardware and the firmware are free and open source and can be easily ported to others Arduino like microcontrollers. In order to use the sensor in combination with any mobile devices, the E256 firmware will be ported on MCU with BLE capabilities. From the beginning, this project stimulates the development of technologies in artistic use cases: playing music, combine graphics and sound, imagine objects that can have tactile properties, etc.
- Web page: http://matrix.eTextile.org/
- Repository: https://github.com/eTextile/Matrix/tree/master
- License: CC-BY-SA
- Mail: matrix@etextile.org
- Pictures: flickr.com
- Hardware_textile: eTextile matrix sensor tutorial
- Hardware_electronic: extension board PCB sources
- Firmware: embedded blob detection with OSC communication
- Softwear: demos made with cool applications
- NIME17 - Designing a Multi-Touch eTextile for Music Performances / Paper - Video
- MOCO17 - Music Skin: Fabric Interface for Expressive Music Control / Paper
Except as otherwise noted, all files in the E256 eTextile-matrix-sensor project folder
Copyright (c) 2014-2020 Maurin Donneaud
For information on usage and redistribution, and for a DISCLAIMER OF ALL WARRANTIES, see LICENSE.txt included in the resistiveMatrix project folder.
Thanks to Vincent Roudaut, Hannah Perner Willson, Cedric Honnet, Antoine Meisso, Paul Strohmeier