UsiGesture: An environment for integrating pen-based interaction in user interface development

F. Beuvens, J. Vanderdonckt
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引用次数: 13

Abstract

Several algorithms have been developed for pen-based gesture recognition. Yet, their integration in streamline engineering of interactive systems is bound to several shortcomings: they are hard to compare to each other, determining which one is the most suitable in which situation is a research problem, their performance largely vary depending on contextual parameters that are hard to predict, their fine-tuning in a real interactive application is a challenge. In order to address these shortcomings, we developed UsiGesture, an engineering method and a software support platform that accommodates multiple algorithms for pen-based gesture recognition in order to integrate them in a straightforward way into interactive computing systems. The method is aimed at providing designers and developers with support for the following steps: defining a dataset that is appropriate for an interactive system (e.g., made of commands, symbols, characters), determining the most suitable gesture recognition algorithm depending on contextual variables (e.g., user, platform, environment), fine-tuning the parameters of this algorithm by multi-criteria optimization (e.g., system speed and recognition rate vs. human distinguishability and perception), and incorporation of the fine-tuned algorithm in an integrated development environment for engineering interactive systems.
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UsiGesture:在用户界面开发中集成基于笔的交互的环境
已经开发了几种基于笔的手势识别算法。然而,它们在交互系统的流线工程中的集成有几个缺点:它们很难相互比较,确定哪一个在哪种情况下最适合是一个研究问题,它们的性能在很大程度上取决于难以预测的上下文参数,它们在实际交互应用中的微调是一个挑战。为了解决这些缺点,我们开发了UsiGesture,这是一种工程方法和软件支持平台,可以容纳基于笔的手势识别的多种算法,以便以直接的方式将它们集成到交互式计算系统中。该方法旨在为设计人员和开发人员提供以下步骤的支持:定义一个适合于交互系统的数据集(例如,由命令、符号、字符组成),根据上下文变量(例如,用户、平台、环境)确定最合适的手势识别算法,通过多标准优化(例如,系统速度和识别率与人类可分辨性和感知)微调该算法的参数,并在工程交互系统的集成开发环境中结合微调算法。
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