Hardware Design Optimization for Human MotionTracking Systems: A stochastic framework for evaluating and comparing the expected performance of sensing systems for interactive computer graphics - Softcover
Synopsis
This research introduces a stochastic framework for evaluating and comparing the expected performance of sensing systems for interactive computer graphics. Incorporating models of the sensor devices and expected user motion dynamics, this framework enables complementary system- and measurement-level hardware information optimization, independent of algorithm and motion paths. The approach for system-level optimization is to estimate the asymptotic position and/or orientation uncertainty at many points throughout a desired working volume or surface, and to visualize the results graphically. This global performance estimation can provide both a quantitative assessment of the expected performance and intuition about how to improve the type and arrangement of sources and sensors, in the context of the desired working volume and expected scene dynamics. Using the same model components required for these system-level optimization, the optimal sensor sampling time can be determined with respect to the expected scene dynamics for measurement-level optimization.
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About the Author
Dr. B. Danette Allen is a senior researcher at NASA Langley Research Center. She has extensive experience in the design and development of atmospheric science instruments and is investigating methods for modernizing the National Airspace System. Dr. Allen received her Ph.D. in Computer Science from the University of North Carolina at Chapel Hill.
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Hardware Design Optimization for Human MotionTracking Systems
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VDM Verlag Dr. Müller, 2009
ISBN 10: 3639137256
ISBN 13: 9783639137255
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Allen B. DanetteDr. B. Danette Allen is a senior researcher at NASA LangleynResearch Center. She has extensive experience in the design andndevelopment of atmospheric science instruments and isninvestigating methods for modernizing t. Seller Inventory # 4960814
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Hardware Design Optimization for Human Motion Tracking Systems | A stochastic framework for evaluating and comparing the expected performance of sensing systems for interactive computer graphics
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Taschenbuch. Condition: Neu. Hardware Design Optimization for Human Motion Tracking Systems | A stochastic framework for evaluating and comparing the expected performance of sensing systems for interactive computer graphics | B. Danette Allen | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639137255 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101637477
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Hardware Design Optimization for Human Motion Tracking Systems : A stochastic framework for evaluating and comparing the expected performance of sensing systems for interactive computer graphics
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research introduces a stochastic framework forevaluating and comparing the expected performance ofsensing systems for interactive computer graphics.Incorporating models of the sensor devices andexpected user motion dynamics, this framework enablescomplementary system- and measurement-level hardwareinformation optimization, independent of algorithmand motion paths. The approach for system-leveloptimization is to estimate the asymptotic positionand/or orientation uncertainty at many pointsthroughout a desired working volume or surface, andto visualize the results graphically. This globalperformance estimation can provide both a quantitative assessment of the expected performanceand intuition about how to improve the type andarrangement of sources and sensors, in the context ofthe desired working volume and expected scenedynamics. Using the same model components requiredfor these system-level optimization, the optimalsensor sampling time can be determined with respectto the expected scene dynamics for measurement-leveloptimization. Seller Inventory # 9783639137255