Welcome 

Welcome! If you got here by accident then here are a few facts to let you know where you are:

  • You have stumbled upon the home page for Nick Gillian
  • I am a postdoctoral fellow working in the Responsive Environments group at MIT's Media Lab
  • My key research areas are: 
    • Gesture Recognition
    • Machine Learning
    • Musician Computer Interaction

You can find out more about my research here: Research

  • I completed my PhD in 2011 at the Sonic Arts Research Center (SARC), Belfast, UK.
  • I am the main developer of the gesture recognition toolkit (GRT) and the SEC, two free machine-learning toolkits specifically designed for real-time gesture recognition. 

Quick Links:

EyesWebBlock_Image_01.jpg GRTLogo.png Rapidnition
 EyesWeb and the SEC  
  Gesture Recognition Toolkit    
Projects 

 

Recent Events

Nick @ NEML: Nick attended the New England Machine Learning Day at Microsoft Research (Cambridge USA).  Nick presented a poster during the lunch time poster session on the Gesture Recognition Toolkit.  You can access the poster here.

MIT IAP Gesture Recognition Workshop: Nick ran a three-day intesive course on gesture recognition and machine learning during MIT's Independent Activities Program (IAP).  You can find out more about the workshop here.

Nick @ Dartmouth, Computer Science Department: Nick visited Dartmouth's CS department on Wednesday October 31st to present his recent work on novel tools and algorithms for Rapid Learning.

An Introduction to Gesture Recognition and Machine Learning, MIT Media Lab, Saturday 8th September 2012: Nick ran a very hands-on workshop on gesture recognition and machine learning at the Media Lab to over 20 students from the Lab and further a field.  You can find out more information about the workshop here.

NIME Ann Arbor May 2012, 2012: Nick attended this years international conference on New Interfaces for Musical Expression (NIME) in Ann Arbor, Michigan, USA.  Nick co-presented a workshop on gesture recognition for real-time musical interaction with Rebecca Fiebrink (more info here) along with presenting a paper on Digito, a fine-grained gesturally controlled virtual musical instrument (more info here).