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Human Visual Perception Of Region Warping Distortions With Different Display And Scene Characteristics, Yang-Wai Chow, Ronald Pose, Matthew Regan, James Phillips
Human Visual Perception Of Region Warping Distortions With Different Display And Scene Characteristics, Yang-Wai Chow, Ronald Pose, Matthew Regan, James Phillips
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents human visual perception experiment results for a computer graphics rendering technique introduced in ACSC'05. In order to achieve a good immersive virtual reality experience, it is necessary to have at least 60 frames per second to ensure smooth motion. It is also necessary to have low end-to-end latency so that user interaction does not suffer from perceptible delays in images presented to the eyes. The Address Recalculation Pipeline (ARP) architecture reduces end-to-end latency in immersive Head Mounted Display (HMD) virtual reality systems. By using the ARP in conjunction with priority rendering, different sections of the scene are …
Comparison Of Channelized Hotelling And Human Observers In Determining Optimum Os-Em Reconstruction Parameters For Myocardial Spect, Karen L. Gilland, Benjamin M. W Tsui, Yujin Qi, Grant T. Gullberg
Comparison Of Channelized Hotelling And Human Observers In Determining Optimum Os-Em Reconstruction Parameters For Myocardial Spect, Karen L. Gilland, Benjamin M. W Tsui, Yujin Qi, Grant T. Gullberg
Faculty of Engineering and Information Sciences - Papers: Part A
The performance of the Channelized Hotelling Observer (CHO) was compared to that of human observers for determining optimum parameters for the iterative OS-EM image reconstruction method for the task of defect detection in myocardial SPECT images. The optimum parameters were those that maximized defect detectability in the SPECT images. Low noise, parallel SPECT projection data, with and without an anterior, inferior or lateral LV wall defect, were simulated using the Monte Carlo method. Poisson noise was added to generate noisy realizations. Data were reconstructed using OS-EM at 1 & 4 subsets/iteration and at 1, 3, 5, 7 & 9 iterations. …
Human Behaviour Recognition With Segmented Inertial Data, Chao Sun, David A. Stirling, Fazel Naghdy
Human Behaviour Recognition With Segmented Inertial Data, Chao Sun, David A. Stirling, Fazel Naghdy
Faculty of Engineering - Papers (Archive)
The development and recent advancements of integrated inertial sensors has afforded substantive new possibilities for the acquisition and study of complex human motor skills and ultimately their imitation within robotic systems. This paper describes continuing work on kinetic models that are derived through unsupervised learning from a continuous stream of signals, including Euler angles and accelerations in three spatial dimensions, acquired from motions of a human arm. An intrinsic classification algorithm, MML (Minimum Message Length encoding) is used to segment the complex data, formulating a Gaussian Mixture Model of the dynamic modes it represents. Subsequent representation and analysis as FSM …
Motivating Rehabilitation By Distorting Reality, James L. Patton, Yejun Wei, Chris Scharver, Robert V. Kenyon, Robert A. Scheidt
Motivating Rehabilitation By Distorting Reality, James L. Patton, Yejun Wei, Chris Scharver, Robert V. Kenyon, Robert A. Scheidt
Biomedical Engineering Faculty Research and Publications
We have found, through a series of recent experiments, encouraging evidence that the neuro-motor system is motivated to change motor patterns when exposed to visuo-motor tasks. We have also shown that the learning of these tasks can be heightened with forces and/or visual distortions that appropriately manipulate the error. This process does not require intense concentration and it is often considered a game. We describe the next generation of robotic large-workspace, three dimensional haptics/graphics systems for rehabilitation