Chang - Feature selection and grasp

Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchell, and Eric P. Xing. "Feature selection for grasp recognition from optical markers." Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems San Diego, CA, USA, Oct 29 - Nov 2, 2007.

Summary

31 markers on a hand that give (x,y,z) positions. Use stepwise forward and backward selection to pick a reduced subset of these markers. 5 markers give good accuracy, about 86% compared to 91% max accuracy of full set of markers.

Discussion

They use 6 grasp types, how easy/hard are they compared to the 14 types in Bernardin et al?

SFFS and SBFS are locally optimal, what about +L-R or bidirectional selection?