RESEARCH

Block-Based Brain Computer Interface Software
EEG BCI Software

Quickly develop neurofeedback applications with a block-based programming environment

Facilitating Human-Robot Interaction Evaluation with Neurophysiological Visualizations
Brain-Robot Interface

Exploring links between users’ cognitive state and spatial information from robots

BCI.js - An Electroencephalography Toolkit Built on Modern Web Technologies
BCI.js

JavaScript based EEG signal processing for BCI applications

Artistic BCI
Artistic BCI

NeuroBrush - a web-based EEG application that allows users to paint abstract art competitively

Brain-Drone Race
Brain-Drone Race

Competitors had to out-focus opponents in a drone race influenced by electrical signals emitted from the brain

Autism Spectrum Disorder EEG Research
ASD EEG

Investigating ways to provide rich automated feedback that assists parents with learning vital techniques for joint attention and social communication

Team

Chris Crawford headshot

Chris Crawford

Director

Nick headshot

Nick

PhD Student

Amanda headshot

Amanda

PhD Student

Bryan headshot

Bryan

PhD Student

Jenna headshot

Jenna

MS Student

Pierce headshot

Pierce

Undergraduate Student

Ajay headshot

Ajay

Undergraduate Student

Will headshot

Will

Undergraduate Student

Jay headshot

Jay

Undergraduate Student

Shomari headshot

Shomari

Undergraduate Student

Publications

Stegman, P., Crawford, C.S., and Gray, J., (2018). WebBCI: An Electroencephalography Toolkit Built on Modern Web Technologies. HCI International 2018, July 15-20, 2018, Las Vegas, NV, USA. Status: Accepted

Cioli, N., Holloman, A., and Crawford, C., (2018). NeuroBrush: An Artistic Multi-Modal, Interactive Painting Competition. CHI 18' Artistic BCI Workshop, April 22, 2018, Montreal, QC, Canada. Status: Accepted

Crawford, C.S., Andujar, M., and Gilbert, J.E., (2018). Brain Computer Interface for Novice Programmers. ACM SIGCSE Technical Symposium on Computer Science Education, February 21-24, 2018, Baltimore, MA, USA, pp. 32 -37.

Crawford, C.S., Andujar, M., and Gilbert, J.E., (2017). Neurophysiological Heat Maps for Human-Robot Interaction Evaluation. In Proceedings of 2017 AAAI Fall Symposium Series: Artificial Intelligence for Human-Robot Interaction AAAI Technical Report FS-17-01, November 9-11, 2017, Arlington, VA, USA, pp. 90-93.

Lieblein, R., Hunter, C., Garcia, S., Andujar, M., Crawford, C. S., & Gilbert, J. E. (2017). NeuroSnap: Expressing the User’s Affective State with Facial Filters. In International Conference on Augmented Cognition (pp. 345-353). Springer, Cham.

Crawford, C.S., Andujar, M., Jackson, F., Applyrs, I., & Gilbert, J.E. (2016). Using a Visual Programing Language to Interact with Visualizations of Electroencephalography Signals. In Proceedings of the 2016 American Society for Engineering Education Southeastern Section (ASEE SE), Tuscaloosa, AL, March 13-15, 2016.

Andujar, M., Crawford, C. S., Nijholt, A., Jackson, F., & Gilbert, J. E. (2015). Artistic brain-computer interfaces: the expression and stimulation of the user’s affective state. Brain-Computer Interfaces, 2(2-3), pp. 60–69.

Crawford, C.S., Badea, C., Bailey, S.W., & Gilbert, J.E. (2015). Using Cr-Y Components to Detect Tongue Protrusion Gestures. In Proceedings of the 33rd Annual ACM CHI 2015 Conference Extended Abstracts, pp. 1331-1336, Seoul, Republic of Korea, April 18-23, 2015.

Crawford, C.S. & Gilbert, J.E. (2015). Towards Analyzing Cooperative Brain-Robot Interfaces Through Affective and Subjective Data. In Proceedings of the 10th Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts pp. 231-232. 2015.

Crawford, C.S., Andujar, M., Jackson, F., Remy, S., & Gilbert, J.E. (2015). User Experience Evaluation Towards Cooperative Brain-Robot Interaction. In Proceedings 17th International Conference Human-Computer Interaction: Design and Evaluation, HCI International 2015, pp. 184–193, Los Angeles, CA, August 2-7, 2015, M. Kurosu (Ed.): Human-Computer Interaction, Part I, Springer LNCS 9169, DOI: 10.1007/978-3-319-20901-2_17.

Crawford, C.S., Andujar M., Remy S., & Gilbert, J.E. (2014). Cloud Infrastructure for Mind-Machine Interface. In Proceedings on the International Conference on Artificial Intelligence (ICAI), pp. 127-133.