Enhancing brain-machine interface throughput using simultaneous activation detection

In this work, we investigate the viability of a novel combination of evoked responses as input signals for a general-purpose brain-machine interface (BMI). We demonstrate response accuracy to alphanumeric stimuli in valid and mirror-reversed orientations, and show task-related activity differences correlated with rotation degree and character validity in superior parietal and inferior frontal gyrus regions of the brain. By observing simultaneous task-related activation in spatially dissociated regions, we increase the amount of information used for inferring user intent in control interfaces. Keywords Brain-machine interface, electroencephalography ACM Classification Keywords J.4. Social and Behavioral Sciences (e.g., BMI): Miscellaneous.

• Type: Conference
• Year: 2009
• Where: CHI
• Authors: Rudolph L. Mappus IV, Paul M. Corballis, Melody Moore Jackson
• Keywords: Brain-machine Interface, CHI 2009, Frontal Gyrus Regions, General-purpose Brain-machine Interface, Human Computer Interaction