Abstract
Recent advances in neuroscience have shown that the neuropathological disorders are closely related with diseases such as Alzheimers. Those damages are particularly associated with the intermediate visual perceptual processing which can cause the motion perception defects and abnormal visuospatial functions in daily living of patients. In this paper, we propose virtual reality-based assessment tools for measuring human perceptual sensitivity to dynamic erroneous motions, particularly designed to assess possible early stage of brain damages and its associated visual dysfunctions. The main thrust of this paper is on perceptually tuned virtual reality system that can produce realistic natural behavior. The proposed method contains multiple assessment layers to check the awareness of erroneous motion in natural scenes at various severities. Our VR-based game-type environment provides an effective test bed for various dynamic motion-based perceptual sensitivity experiments. Our initial human subject tests show that game-based test environment produces more coherent and consistent data, preferable to survey-based methods.
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References
Bro-Nielsen M (1996) Surgery simulation using fast finite elements. In: Proceedings of visualization in biomedical computing, pp 529–534
Beer G, Smith I, Duenser C (2008) The boundary element method with programming: for engineers and scientists. Springer, Berlin
Cotin S, Delingette H, Ayache N (2000) A hybrid elastic model for real-time cutting, deformations, and force feedback for surgery training and simulation. Vis Comput 16(7):437–452
Kim J, Yoon S, Lee Y (2014) Trivariate B-spline approximation of spherical solid objects. J Inf Process Syst 10(1):23–35
Jeon J, Choi M-H, Hong M (2012) Enhanced FFD-AABB collision algorithm for deformable objects. J Inf Process Syst 8(4):713–720
O’Sullivan J, Dingliana T, Giang M, Kaiser K (2003) Evaluating the visual fidelity of physically based animations. ACM Trans Graph 22(3):527–536
Riva G (1997) Virtual reality as assessment tool in psychology. Virtual reality in neuro-psycho-physiology, pp 71–80
Theeuwes J, Kramer AF, Kingstone A (2004) Attentional capture modulates perceptual sensitivity. Psychon Bull Rev 11(3):551–554
Kovcs I, Julesz B (1994) Perceptual sensitivity maps within globally defined visual shapes. Nature 370(6491):644–646
Clement J (1982) Students’ preconceptions in introductory mechanics. Am J Phys 50(1):66–71
Abraham S, Choi M-H (2011) Optimization of collision handling based on differential thresholds of human perception. In: Proceedings of international conference on computer graphics and virtual reality
Choi M, Yu S, Pelak V (2011) Assessment of visual dysfunction using virtual reality game environment. J Future Game Technol 1(2):81–82
Popovic J, Seitz SM, Erdmann M, Witkin A (2000) Interactive manipulation of rigid body simulations. In: Proceedings of SIGGRAPH 2000, pp 209–218
Popovic J, Seitz SM, Erdmann M (2003) Motion sketching for control of rigid body simulations. ACM Trans Graph 22(4):1034–1054
James DL, Fatahalian K (2003) Precomputing interactive dynamic deformable scenes. In: Proceedings of SIGGRAPH 2003, pp 879–887
Harvey LO Jr (1997) Efficient estimation of sensory thresholds with ML-PEST. Spat Vis 11(1):121–128
Tetewsky SJ, Duffy CJ (1999) Visual loss and getting lost in Alzheimer’s disease. Neurology 52(5):958–965
UNreal Development Kit (UDK) (2012). http://www.unrealengine.com
Crane K, Llamas I, Tariq S (2007) Real-time simulation and rendering of 3D fluids. In: Nguyen H (ed.) GPU Gems 3. Addison-Wesley Professional
Diener J, Reveret L, Fiume E (2006) Hierarchical retargetting of 2D motion fields to the animation of 3D plant models. In: Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on computer, animation
Van Haevre W, Di Fiore F, Van Reeth F (2006) Physically-based driven tree animations. In: Proceedings of Eurographics/ACM SIGGRAPH symposium on computer, animation
Sechrest M, Maher M, Bordes J (2009) NVidia apex: high definition physics with clothing and vegetation. In: Game developer conference
Twigg CD, James DL (2007) Many-worlds browsing for control of multibody dynamics. ACM Trans Graph 26(3):14.1–14.8
Jeon H, Choi MH (2007) Controllable simulation of deformable objects using heuristic optimal control. J Geom Graph 2(1):59–71
Cotin S, Delingette H, Clement J, Soler L, Ayache N, Marescaux J (1996) Geometrical and physical representation for a simulator of hepatic surgery. In: Proceedings of medicine meets virtual reality IV
Posner MI (1980) Orienting of attention. Q J Exp Psychol 32(1):325
Walter H (1995) Ehrenstein and Addie Ehrenstein psychophysical methods. Psychology Software News, vol. 5, Chapter 43
Ihm S-Y, Lee K-E, Nasridinov A, Huh J-S, Park Y-H (2014) Approximate convex skyline: a partitioned layer-based index for efficient processing top-k queries. Knowledge-Based Syst 61:13–28
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Choi, MH., Alquzi, M.B. & Hong, M. Assessment of human perceptual sensitivity to physically non-conforming motion in virtual environments. J Supercomput 69, 1311–1323 (2014). https://doi.org/10.1007/s11227-014-1169-y
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DOI: https://doi.org/10.1007/s11227-014-1169-y