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2010


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VerroTouch: High-Frequency Acceleration Feedback for Telerobotic Surgery

Kuchenbecker, K. J., Gewirtz, J., McMahan, W., Standish, D., Martin, P., Bohren, J., Mendoza, P. J., Lee, D. I.

Hands-on demonstration presented at EuroHaptics, Amsterdam, Netherlands, Amsterdam, Netherlands, July 2010 (misc)

hi

[BibTex]

2010


[BibTex]


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TexturePad: Realistic Rendering of Haptic Textures

Romano, J. M., Landin, N., McMahan, W., Kuchenbecker, K. J.

Hands-on demonstration presented at EuroHaptics, Amsterdam, Netherlands, July 2010 (misc)

hi

[BibTex]

[BibTex]


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Realistic Haptic Contacts and Textures for Tablet Computing

Romano, J. M., Kuchenbecker, K. J.

Hands-on demonstration presented at the Stanford Medical Innovation Conference on Medical Robotics, Stanford, California, April 2010 (misc)

hi

[BibTex]

[BibTex]


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High-Frequency Tactile Feedback for the da Vinci Surgical System

Standish, D., Gewirtz, J., McMahan, W., Martin, P., Kuchenbecker, K. J.

Hands-on demonstration presented at the Stanford Medical Innovation Conference on Medical Robotics, April 2010 (misc)

hi

[BibTex]

[BibTex]


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High-Frequency Tactile Feedback for the da Vinci Surgical System

Standish, D., Gewirtz, J., McMahan, W., Martin, P., Kuchenbecker, K. J.

Hands-on demonstration presented at IEEE Haptics Symposium, Waltham, Massachusetts, March 2010 (misc)

hi

[BibTex]

[BibTex]


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The Haptic Board

Jiang, Z., Bhoite, M., Kuchenbecker, K. J.

Hands-on demonstration presented at IEEE Haptics Symposium, Waltham, Massachusetts, USA, March 2010 (misc)

hi

[BibTex]

[BibTex]


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Tactile Gaming Vest (TGV)

Palan, S., Wang, R., Naukam, N., Li, E., Kuchenbecker, K. J.

Hands-on demonstration presented at IEEE Haptics Symposium, Waltham, Massachusetts, March 2010 (misc)

hi

[BibTex]

[BibTex]


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Realistic Haptic Contacts and Textures for Tablet Computing

Romano, J. M., Kuchenbecker, K. J.

Hands-on demonstration presented at IEEE Haptics Symposium, Waltham, Massachusetts, March 2010, {B}est Teaser Award (misc)

hi

[BibTex]

[BibTex]


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GPU-Based Haptic Rendering of 3D Smoke

Yang, M., Lu, J., Safonova, A., Kuchenbecker, K. J.

Hands-on demonstration presented at IEEE Haptics Symposium, Waltham, Massachusetts, March 2010 (misc)

hi

[BibTex]

[BibTex]

2006


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Statistical Learning of LQG controllers

Theodorou, E.

Technical Report-2006-1, Computational Action and Vision Lab University of Minnesota, 2006, clmc (techreport)

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PDF [BibTex]

2006


PDF [BibTex]

2005


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Event-Based Haptic Feedback

Kuchenbecker, K. J., Fiene, J. P., Niemeyer, G.

Hands-on demonstration at IEEE World Haptics Conference, Pisa, Italy, March 2005 (misc)

hi

[BibTex]

2005


[BibTex]


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Linear and Nonlinear Estimation models applied to Hemodynamic Model

Theodorou, E.

Technical Report-2005-1, Computational Action and Vision Lab University of Minnesota, 2005, clmc (techreport)

Abstract
The relation between BOLD signal and neural activity is still poorly understood. The Gaussian Linear Model known as GLM is broadly used in many fMRI data analysis for recovering the underlying neural activity. Although GLM has been proved to be a really useful tool for analyzing fMRI data it can not be used for describing the complex biophysical process of neural metabolism. In this technical report we make use of a system of Stochastic Differential Equations that is based on Buxton model [1] for describing the underlying computational principles of hemodynamic process. Based on this SDE we built a Kalman Filter estimator so as to estimate the induced neural signal as well as the blood inflow under physiologic and sensor noise. The performance of Kalman Filter estimator is investigated under different physiologic noise characteristics and measurement frequencies.

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PDF [BibTex]

PDF [BibTex]