TY - GEN
T1 - Force skill training with a hybrid trainer model
AU - Esen, Hasan
AU - Yano, Ke N.Ichi
AU - Buss, Martin
PY - 2008
Y1 - 2008
N2 - In this work, we present novel VR training strategies that incorporate a hybrid trainer model to train force. For modeling the trainer skill, weighted K-means algorithm in parameter space with LS optimization is implemented. The efficiency of the training strategies is verified via user tests in frame of a bone drilling training application. An objective evaluation method based on n dimensional Euclidean distances is introduced to assess user tests results. It is shown that the proposed strategies improve the student skill and accelerate force learning.
AB - In this work, we present novel VR training strategies that incorporate a hybrid trainer model to train force. For modeling the trainer skill, weighted K-means algorithm in parameter space with LS optimization is implemented. The efficiency of the training strategies is verified via user tests in frame of a bone drilling training application. An objective evaluation method based on n dimensional Euclidean distances is introduced to assess user tests results. It is shown that the proposed strategies improve the student skill and accelerate force learning.
UR - http://www.scopus.com/inward/record.url?scp=52949147436&partnerID=8YFLogxK
U2 - 10.1109/ROMAN.2008.4600635
DO - 10.1109/ROMAN.2008.4600635
M3 - Conference contribution
AN - SCOPUS:52949147436
SN - 9781424422135
T3 - Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN
SP - 9
EP - 14
BT - Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN
T2 - 17th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN
Y2 - 1 August 2008 through 3 August 2008
ER -