Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Selection: Evaluation, Application, and Small Sample Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Improved Pairwise Coupling Classification with Correcting Classifiers
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers
Functional near infrared spectroscopy in novice and expert surgeons: a manifold embedding approach
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Tissue characterization using dimensionality reduction and fluorescence imaging
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
| Hi-index | 0.00 |
As medical robotics gathers increasing attention, the ergonomics of the surgical-console design becomes an important issue. Motivated by the need of augmenting the surgeon mastery, we explore the capabilities of a near infrared brain-computer interface as a complementary input modality to enhance the human-robot interaction at the robotic console. A multistage analysis framework is proposed and evaluated by an exploratory off-line synchronous study. The three stages of the data processing flow, namely dimensionality reduction, solution to binary problems and aggregation into multi-class decision are examined to address key challenges during the pattern recognition step. Early experimental results endorse near infrared based brain-computer interface as a suitable additional communication modality between the surgeon and the robotic console.