‘Research Projects’


February 28th, 2012

SYNCTOOLS – A set of MATLAB functions for synchronization of multimodal signals

by Javier Jaimovich (2012)


These functions have been created to synchronize (offline) a multimodal recording across multiple devices. The only condition is for each device to receive a SMPTE TimeCode (TC). Detailed information of each function is provided in the help and example files.

» Read more: SyncTools

Video from BioRhythms at EyeBeam

July 7th, 2011

Check out this video from the inaguration night for the BioRhythms Exhibition at the EyeBeam Gallery, NYC

more info here

Arduino Pulse Generator for Synchronization Tests

May 22nd, 2011

A simple arduino script that generates a simultaneous TTL and audio pulse sequence for synchronization tests among different recording equipment (see SyncTools). The scripts allows variable intervals and the addition of jitter.

Download latest version (2.0)

Please send any comments to javier@jaimovich.cl

MuSE at EyeBeam NYC

May 20th, 2011

The MuSE team will be at the the World Science Festival in NYC with Emotion in Motion, Chain of Emotion and as part of the inauguration concerts of BioRhythm at EyeBeam.

More info here: http://worldsciencefestival.com/events/biorhythm


WABC (ABC – New York, NY) – VIDEO
New York Times – PDF

Emotion in Motion

July 1st, 2010

Emotion in Motion

The MuSE team have been closely involved with the current exhibition in the Science Gallery, Dublin, the theme of which is ‘Music & The Body’.

You are invited to measure your emotions as a part of an on-going experiment with music, emotion and physiology. Does your body like music you thought you hated?

Using heart-rate monitors and skin conductance, the experiment reads your physical response to a selection of music samples.

The experiment runs until the 3rd of October and should you find yourself in Dublin…please take part!


March 8th, 2010

SARCduino is a sensor acquisition protocol developed for the Arduino and Max/MSP environments by PhD and Staff of SARC. It samples the 6 analog and 12 digital pins of the microcontroller, and sends them to Max/MSP via the serial port.

UPDATE: SARCduino has recently been updated to v0.19.  This version is compatible with Arduino 1.0.

Click here for the latest version of SARCduino.


  1. Download the latest version of SARCduino
  2. Unzip the contents of the zip file
  3. Copy the .pde file to a folder in your computer
  4. Upload the firmware to your Arduino (instructions)
  5. Copy the SARCduino Max/MSP patch for your OS (win or OSX) to a folder in your computer
  6. Rename the patch to SARCduino.maxpat
  7. Create your own patch in the same folder, and load the SARCduino patch as an object.
  8. Use the ‘select port’ menu to connect to your Arduino.

Aditional Information:

Default Sampling frequency is 100Hz (every 10ms)

This firmware/patch samples digital inputs 2-13 on the arduino board (labelled as 1-12 in the max patch). Digital pins 0 and 1 are reserved for serial communication.

An Arduino shield will be posted shortly to allow for easy connection of various standard sensors.

SARC EyesWeb Catalog [SEC]

February 1st, 2010

The SEC is a collection of blocks for the free open-source program EyesWeb that have been specifically designed by Nick Gillian for real-time gesture recognition. The latest version can be found at www.sarc.qub.ac.uk/~ngillian/SEC.html along with supporting documentation and example patches for all of the SEC blocks.

Sensory Chairs

August 25th, 2009

An overview of a prototype of the Sensory Chairs used in our research. Created by Niall Coghlan as part of his Masters thesis at SARC.