Can we train a system to identify and understand -- perhaps even empathize with -- the feeling a piece of music invites in a dedicated listener? We record brain and physiological data as listeners engage in musical activities, and develop ways to analyze and predict their affective responses.

Publications

• Grace Leslie, Alejandro Ojeda, Scott Makeig. (2014). "Measuring and Classifying Musical Engagement using EEG and Motion Capture," in Society for Human Brain Mapping (HBM).
• Grace Leslie, Alejandro Ojeda, and Scott Makeig. (2013). "Towards an Affective Brain-Computer Interface Monitoring Musical Engagement," Affective Computing and Intelligent Interaction (ACII)
• Grace Leslie, Alejandro Ojeda, and Scott Makeig. (2013). "Measuring Musical Engagement via Expressive Movement and EEG Brain Dynamics," Presented at Society for Music Perception and Cognition (SMPC)
• Scott Makeig, Grace Leslie, Tim Mullen, Devapratim Sarma, Nima Bigdely-Shamlo, Christian Kothe. (2011). "First Demonstration of a Musical Emotion BCI," Affective Computing and Intelligent Interaction. Springer Lecture Notes in Computer Science 6975:487-496.