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256 SORIN JIBOTEAN (1) AND RARES FLORIN BOIAN (2) the score of the test, the duration it took the patient to complete the test, and percentage of focus on the test out of the entire time spent in the virtual environment (see Figure 2). The percentage of focus is calculated using the position of the interaction point (displayed as a cross-hair). The time when the patient focuses on the test is defined as the time the interaction point is above the test, either interacting with the questions or not interacting with anything else. The rest of the time spent arranging the objects on the desk or looking around is considered out–of–focus time. The graph displays the ratio between the focus time and the total test time as a percentage. Figure 2. Visualization of recorded measurements The test results can be view before or after the therapy session. The graphs present a historical view of the therapy records, allowing easy visual evaluation of performance and progress. 5. Future Work The development of the virtual environment presented here has been completed as the application reached a stable version. The next step is to validate it with specialists in psychology and psychiatry. Finally this work will be validated and its effectively and results evaluated in a pilot study followed by patient trials. References [1] R. Boian, Bouzit, and G. M; Burdea, “Dual stewart platform mobility simulator,” in IEEE 9th International Conference on Rehabilitation Robotics, Chicago IL, 2005, pp. 550–555. [2] A. Rizzo, D. Klimchuk, R. Mitura, T. Bowerly, J. Buckwalter, and T. Parsons, “A virtual reality scenario for all seasons: The virtual classroom,” CNS Spectrums, vol. 11, no. 1, pp. 35–44, 2006. [3] T. Parsons, T. Bowerly, J. Buckwalter, and A. Rizzo, “A controlled clinical comparison of attention performance in children with adhd in a virtual reality classroom compared to standard neuropsychological methods,” Child Neuropsychology. [4] Diagnostic and statistical manual of mental disorders, fourth edition. Washington, DC: American Psychiatric Association, 1994.
VIRTUAL REALITY REHABILITATION ENVIRONMENT ... 257 [5] M. C. staff, “Obsessive-compulsive disorder (ocd): Symptoms.” [Online]. Available: http://www.mayoclinic.com/health/obsessive-compulsivedisorder/ds00189/dsection=symptoms [6] Opengl, D. Shreiner, M. Woo, J. Neider, and T. Davis, OpenGL(R) Programming Guide : The Official Guide to Learning OpenGL(R), Version 2 (5th Edition). Addison-Wesley Professional, August 2005. [7] E. Lengyel, The OpenGL Extensions Guide. Charles River Media, 2003. (1) Babes-Bolyai University, Department of Computer Science, Str. Mihail Kogalniceanu Nr 1, RO-400084 Cluj-Napoca E-mail address: jibotean sorin@yahoo.com (2) Babes-Bolyai University, Department of Computer Science, Str. Mihail Kogal- niceanu Nr 1, RO-400084 Cluj-Napoca E-mail address: rares@cs.ubbcluj.ro
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Invited Lectures CONTENTS H. Horace
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P. V. Borza, O. Gui, D. Dumitrescu,
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F. M. Boian, C. Aldea, On Evaluatin
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KNOWLEDGE ENGINEERING: PRINCIPLES A
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DECISION SUPPORT SYSTEM FOR SOFTWAR
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TRANSFORMING PROCEDURAL INTO OBJECT
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COMDEVALCO FRAMEWORK 191 3.1. Model
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COMDEVALCO FRAMEWORK 193 [2] Czibul
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RAPID PROTOTYPING OF CONVERSATIONAL
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RAPID PROTOTYPING OF CONVERSATIONAL
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(1) (1) (1)
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∼
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EFFORT ESTIMATION BY ANALOGY USING
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Page 35 and 36: SOFTWARE COST ESTIMATION MODEL BASE
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Page 39 and 40: KNOWLEDGE ENGINEERING: PRINCIPLES A
Page 41 and 42: ONTOLOGY DEVELOPMENT: A SOFTWARE EN
Page 45 and 46: DURATION ESTIMATION OF A WORK PACKA
Page 49 and 50: A FORMAL CONCEPT ANALYSIS APPROACH
Page 53 and 54: HIGH COUPLING DETECTION USING FUZZY
Page 57 and 58: EFFICIENT RECURSIVE PARALLEL PROGRA
Page 61 and 62: SKEPTICAL REASONING IN CONSTRAINED
Page 65 and 66: ALGEBRAIC MODEL FOR THE SYNCHRONOUS
Page 69 and 70: REVERSE ENGINEERING AND SIMULATION
Page 71 and 72: REVERSE ENGINEERING AND SIMULATION
Page 73 and 74: A PARALLELIZATION SCHEME OF SOME AL
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Page 79 and 80: THE MULTI-OBJECTIVE REFACTORING SEL
Page 81 and 82: THE MULTI-OBJECTIVE REFACTORING SEL
Page 83: VIRTUAL REALITY REHABILITATION ENVI
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