Publications

Gurbuz, S.Z., Gurbuz, A.C., Malaia, E.A., Griffin, D.J., Crawford, C., Kurtoglu, E., Rahman, M.M., Aksu, R. and Mdrafi, R., 2020, October. ASL Recognition Based on Kinematics Derived from a Multi-Frequency RF Sensor Network. In 2020 IEEE Sensors (pp. 1-4). IEEE.

Gurbuz, S.Z., Gurbuz, A.C., Crawford, C. and Griffin, D., University of Alabama (UA), 2020. Radar-based methods and apparatus for communication and interpretation of sign languages. U.S. Patent Application 16/850,664.

Gurbuz, S.Z., Gurbuz, A.C., Malaia, E.A., Griffin, D.J., Crawford, C., Rahman, M.M., Kurtoglu, E., Aksu, R., Macks, T. and Mdrafi, R., 2020. American Sign Language Recognition Using RF Sensing. IEEE Sensors Journal.

Gurbuz, S.Z., Gurbuz, A.C., Malaia, E.A., Griffin, D.J., Crawford, C., Rahman, M.M., Aksu, R., Kurtoglu, E., Mdrafi, R., Anbuselvam, A. and Macks, T., 2020, April. A linguistic perspective on radar micro-doppler analysis of american sign language. In 2020 IEEE International Radar Conference (RADAR) (pp. 232-237). IEEE.

Hernandez-Cuevas B., Egbert W., Denham A., Mehul A., Crawford, C.S. (2020). Changing Minds: Exploring Brain-Computer Interface Experiences with High School Students. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA ’20). Association for Computing Machinery, New York, NY, USA, pp. 1–10.

Stegman P. , Crawford C. S., Andujar M., Nijholt A., Gilbert J. E. (2020). Brain–Computer Interface Software: A Review and Discussion, in IEEE Transactions on Human-Machine Systems, vol. 50, no. 2, pp. 101-115, April 2020.

Mehul A., Cioli N., Crawford C.S., Denham A. (2019). Position: A Novice Oriented Dual-Modality Programming Tool for Brain-Computer Interfaces Application Development, in 2019 IEEE Blocks and Beyond Workshop (B&B), Memphis, TN, USA, 2019 pp. 27-30.

Hernandez-Cuevas B., Sawyers E., Bentley L., Crawford C., Andujar M. (2019) Neurophysiological Closed-Loop Control for Competitive Multi-brain Robot Interaction. In: Chen J. (eds) Advances in Human Factors in Robots and Unmanned Systems. AHFE 2019. Advances in Intelligent Systems and Computing, vol 962. Springer, Cham.

Crawford, C. S., Gilbert, J. E. (2019). Brains and Blocks: Introducing Novice Programmers to Brain-Computer Interface Application Development. In ACM Transactions on Computing Education (TOCE), pp. 1-27.

Holloman, A., Egbert, W., Stegman, P., Cioli, N., Crawford, C.S. (2019). Leveraging Neurophysiological Information to Augment Interpretation of Responses to Vulnerable Robot Behaviors. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 566-567. IEEE, 2019.

Mines, E., Crawford, C.S. (2019). Brain Butler: The Proactive Personal Assistant. In Proceedings of the 2019 ACM Southeast Conference (pp. 273-274). ACM.

Hernandez-Cuevas, B.,Sawyers, E., Bently, L.,Crawford, C.S., and Andujar, M. (2019 –In press). Neurophysiological Closed-loop Control for Competitive Multi-Brain Robot Interaction. In International Conference on Applied Human Factors and Ergonomics. Springer, Cham.

Stegman, P., Crawford, C.S., and Gray, J. (2018). WebBCI: An Electroencephalography Toolkit Built on Modern Web Technologies. In International Conference on Augmented Cognition (pp. 212-221). Springer, Cham.

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.

Crawford, C.S., and Gilbert, J.E. (2017). NeuroBlock: A Block-Based Programming Approach to Neurofeedback Application Development. In Proceedings of the 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Raleigh, NC, USA, pp. 303-307, October 11-14, 2017.

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., Mack, N., Eugene, W., & Gilbert, J.E. (2015). Televoting: Secure, Overseas Voting, In Proceedings 3rd International Conference Human Aspects ofInformation Security, Privacy, and Trust HCI International 2015, pp.487–494, Los Angeles, CA, August 2-7, 2015, T. Tryfonas and I. Askoxylakis (Eds.):HAS 2015, Springer LNCS 9190, DOI: 10.1007/978-3-319-20376-8_43.

Dawson, S., Crawford, C.S., Dillon, E. & Anderson, M. (2015). Affecting operator trust in intelligent multirobot surveillance systems. In Robotics and Automation (ICRA), IEEE International Conference, pp. 3298-3304.

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.

Dawson,S., Crawford, C.,Dillon, E. & Anderson, M. (2012). Examining the Expectations of Autonomy and Human Intervention in a Multi-robot Surveillance Task, 50th Southeast Regional ACM Conference, Tuscaloosa AL, March 2012.

Anderson, Monica., Crawford, C.S., Kilgo, P. and Stanforth, M. (2011).Work in Progress: Enabling robot device discovery through robot device descriptions, 2nd International Workshop on Domain-Specific Languages and models for ROBotic systems, San Francisco, CA, USA, September 2011.