TY - GEN
T1 - Prediction techniques for haptic communication and their vulnerability to packet losses
AU - Brandi, Fernanda
AU - Steinbach, Eckehard
PY - 2013
Y1 - 2013
N2 - We introduce three different uses of linear regression for improving the prediction of samples in haptic communication and compare this technique to the commonly employed zero-order and first-order linear predictors. We couple the prediction techniques with (error resilient) perceptual data reduction approaches and evaluate their robustness when losses in the network are present. Experimental results show that the proposed prediction technique improves haptic data reduction while keeping lower signal distortion compared to the traditional prediction methods when facing adverse network conditions.
AB - We introduce three different uses of linear regression for improving the prediction of samples in haptic communication and compare this technique to the commonly employed zero-order and first-order linear predictors. We couple the prediction techniques with (error resilient) perceptual data reduction approaches and evaluate their robustness when losses in the network are present. Experimental results show that the proposed prediction technique improves haptic data reduction while keeping lower signal distortion compared to the traditional prediction methods when facing adverse network conditions.
UR - http://www.scopus.com/inward/record.url?scp=84893538598&partnerID=8YFLogxK
U2 - 10.1109/HAVE.2013.6679612
DO - 10.1109/HAVE.2013.6679612
M3 - Conference contribution
AN - SCOPUS:84893538598
SN - 9781479908486
T3 - HAVE 2013 - 2013 IEEE International Symposium on Haptic Audio-Visual Environments and Games, Proceedings
SP - 63
EP - 68
BT - HAVE 2013 - 2013 IEEE International Symposium on Haptic Audio-Visual Environments and Games, Proceedings
T2 - 2013 12th IEEE International Symposium on Haptic Audio-Visual Environments and Games, HAVE 2013
Y2 - 26 October 2013 through 27 October 2013
ER -