Publications

Inverso S. A., Goh X. L, James A. J., Slowing Vision: Pattern Pulse MultiFocal Visual Evoked Potential (PPmfVEP) timing dilation under Isoluminant and Luminance Contrast Conditions. (poster) Presented at Vision Science Society 2009, Naples, Florida, USA, May 8-13, 2009.

Inverso S. A., Goh X. L, James A. J., Slowing Vision: Pattern Pulse MultiFocal Visual Evoked Potential (PPmfVEP) timing dilation under Isoluminant and Luminance Contrast Conditions. (poster) Presented at Australian Neuroscience Society 2009, Canberra, ACT, Australia, Jan. 27-30, 2009.

Costanza E., Inverso S. A., Allen R., Maes P., “EMG For Subtle, Intimate Interfaces”, (book chapter) Lumsden J. (Ed.), Handbook of Research on User Interface Design and Evaluation for Mobile Technology, pp. 524-542, Information Science Reference, 2008

Inverso S. A., Doolan B., James A. J., Real-time Influence of Interocular Transfer During Binocular Rivalry (poster) Presented at Vision Down Under 2007, Palm Cove, QLD, Australia, July 19-22, 2007.

Costanza E., Inverso S. A., Allen R., Maes P., “Costanza E., Inverso S. A., Allen R., Maes P., “Intimate Interfaces in Action: Assessing Usability and Subtlety of EMG-based Motionless Gestures” (full paper) to appear in Proc. CHI2007, April 2007, San Jose, CA, USA.

Costanza E., Inverso S. A., Pavlov E., Allen R., Maes P., “eye-q: Eyeglass Peripheral Display for Subtle Intimate Notifications.” (full paper) to appear in Proc. of MobileHCI 2006, September 2006, Espoo, Finland.

Bayliss, J. D. and Inverso, S. A., “Automatic Error Correction Using P3 Response Verification for a Brain-Computer Interface.” (full paper) Proc. 11th International Conference on Human-Computer Interaction, July 22-27, 2005, Las Vegas, NV. Mahwah: Lawrence Relbaum Associates, 2005.

Costanza, E., Inverso, S. A., and Allen, R. “Toward Subtle Intimate Interfaces for Mobile Devices Using an EMG Controller.” (full paper) Proc. of CHI2005: Conference on Human Factors in Computing Systems Portland, Oregon, USA. 2005.

Bayliss, J. D., Inverso, S. A., and Tentler, A., “Changing the P300 Brain-Computer Interface.” Journal of CyberPsychology & Behavior 7.6:694-704, 2004.

Inverso, S. A., Hawes, N., Kelleher, J., Allen, R., and Haase, K., “Think and Spell: Context-Sensitive Predictive Text for an Ambiguous Keyboard Brain-Computer Interface Speller.” Biomedizinische Technik 49 Suppl. 1:53-54, 2004.

Costanza, E., Perdomo, A., Inverso, S. A., and Allen, R., “EMG as a Subtle Input Interface for Mobile Computing.” 6th International Symposium MobileHCI 2004. Ed. Brewster S., Dunlop M. Glasgow, UK: Springer. 426-430, 2004.

Anderson, P. G., Arney, J. S., Inverso, S. A., Kunkle, D. R., Lebo T., and Merrigan, C. “A Genetic Algorithm Search for Improved Halftone Mask.” ANNIE Conference, Nov. 2003, St. Louis, MO.

Anderson, P. G., Arney, J. S., Inverso, S. A., Kunkle, D. R., Lebo, T., Merrigan, C. “Good Halftone Masks via Genetic Algorithms.” Presented at the 2003 Western New York Image Processing Workshop, Rochester, NY, Oct. 17, 2003.

Master’s Thesis, Computer Science

Inverso, S. A. “Automatic Error Recovery Using P3 Response Verification for a Brain Computer Interface.” Unpublished masters thesis, Rochester Institute of Technology, Rochester, NY, USA (2004).
References as HTML or Bibtex

Abstract:
A brain-computer interface (BCI) is an augmentative communication mechanism that does not rely on peripheral nerves or muscles. Current BCIs are error prone and slow with error rates of 10 to 30% and transmission rates of 10-25 bits/min, however, error recovery and correction in BCI has largely been neglected. The focus of this thesis is the development of a method to automatically recover errors in BCI using the P3 brain signal for response verification. The existence of the P3 signal in responses to controlled goal items is shown in an evoked potential BCI used to control items in a virtual apartment. A reduced response exists when items are accidentally controlled. Offline experiments were run, and with a theoretical mean improvement in accuracy from 78% to 85%, there was a statistically significant improvement (P < 0.008, Wilcoxon signed rank test) in accuracy of 3% using a correlation algorithm for P3 signal detection on responses. The presence of the P3 signal in responses to goal items indicates it can be used for automatic error recovery without requiring additional time, which will improve the speed and accuracy of brain-computer interfaces.

Projects

Genetic Algorithms: Evolutionary Methods for 2D Cellular Automata Computation for Density Classification, Synchronization, and Balanced Surface Minimization PDF

Computer Vision: Ellipse Detection Using Randomized Hough Transform PDF, Errata, and Code

Distributed AI: Temporal Difference Agents in Robocode Online HTML

Neural Networks: Where’s Waldo? the Neural Network: Specific Face Recognition Using a Backpropagation Neural Network PDF

Miscellaneous

C++ Dynamic Multidimensional Array example: MultiArray.cpp. Templated utility class: MultiArrayUtilties.h MultiArrayUtilties.cpp