A visualization framework for the analysis of neuromuscular simulations

We present a visualization framework for exploring and analyzing data sets from biomechanical and neuromuscular simulations. These data sets describe versatile information related to the different stages of a motion analysis. In studying these data using a 3D visualization approach, interactive exploring is important, especially for supporting spatial analysis. Moreover, as these data contain many various but related elements, numerical analysis of neuromuscular simulations is complicated. Visualization techniques enhance the analysis process, thus improving the effectiveness of the experiments. Our approach allows convenient definitions of relationships between numerical data sets and 3D objects. Scientific simulation data sets appropriate for this style of analysis are present everywhere motion analysis is performed and are predominant in many clinical works. In this paper, we outline the functionalities of the framework as well as applications embedded within the OpenSim simulation platform. These functionalities form an effective approach specifically designed for the investigation of neuromuscular simulations. This claim is supported by evaluation experiments where the framework was used to analyze gaits and crouch motions

A visualization framework for the analysis ofneuromuscularsimulations

We present a visualization framework for exploring and analyzing data sets from biomechanical and neuromuscular simulations. These data sets describe versatile information related to the different stages of a motion analysis. In studying these data using a 3D visualization approach, interactive exploring is important, especially for supporting spatial analysis. Moreover, as these data contain many various but related elements, numerical analysis of neuromuscular simulations is complicated. Visualization techniques enhance the analysis process, thus improving the effectiveness of the experiments. Our approach allows convenient definitions of relationships between numerical data sets and 3D objects. Scientific simulation data sets appropriate for this style of analysis are present everywhere motion analysis is performed and are predominant in many clinical works. In this paper, we outline the functionalities of the framework as well as applications embedded within the OpenSim simulation platform. These functionalities form an effective approach specifically designed for the investigation of neuromuscular simulations. This claim is supported by evaluation experiments where the framework was used to analyze gaits and crouch motion

Estudio y mejora de la usabilidad de un mundo virtual híbrido: interacción humano-agente

Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2013, Director: Inmaculada Rodriguez Santiago i Pablo Almajano FrancoyNowadays, due to the increasing use of the Internet and the improvements in the field of 3D graphics virtual worlds have reached a high popularity. A virtual world is a 3D simulation that features a real or imaginary world where the users, represented by avatars, interact with each other and the environment. These open 3D environments are attractive for their immersiveness and the enjoyment they offer, as well as for the social aspect that they bring by joining multiple users together in a common environment and engaging them to participate together. Taking into account not only their popularity but the many practical uses a virtual world has, serious virtual worlds arise. Their aim is to regulate the behaviors in the virtual world in order to allow certain tasks to be done, which can be for example procedures related to e-Government or e-Learning. In this project we have conducted a usability study of v-mWater, a serious and hybrid (where both humans and bots interact) virtual world. With the results that have been obtained from the study, we have implemented the most beneficial improvement of v-mWater, that has consisted in using AIML to allow the bots of v-mWater to process natural language, turning them into conversational bots

A visualization framework for the analysis of neuromuscular simulations

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