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Optimal Hand Gesture Vocabulary Design Using Psycho-Physiological and Technical Factors

机译:最佳手势词汇表设计使用心理生理和技术因素

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A global approach to hand gesture vocabulary design is proposed which includes human as well as technical design factors. The human centered desires of multiple users are implicitly represented through indices obtained from ergonomic studies representing the psycho-physiological aspects of users. The main technical aspect considered is that of machine recognition of gestures. We review and classify three approaches to this problem: Ad hoc, Rule based, and Analytical. It is believed that this is the first conceptualization of the optimal hand gesture design problem in analytical form. A mathematical dual objective model is developed, which reflects the psycho-physiological and technical performance measures upon which a gesture control system is judged. The mathematical program solves a quadratic assignment problem embedded within a heuristic search tree. The quadratic problem, whose solution is a gesture vocabulary GV, (a command-gesture matching) is solved through simulated annealing. A useful feature, included in the formulation, is the priorities given to the matching of complementary pairs of gestures (say thumb up - thumb down) to complementary pairs of commands (say up -down). To validate the procedure an example is solved for the design of a medium size robot command GV.
机译:提出了一种全球手势词汇设计的方法,包括人类以及技术设计因素。通过从代表用户的心理生理方面获得的符合人体工程学研究获得的指标,人工为中心的人为中心的愿望被隐含地代表。考虑的主要技术方面是机械识别的手势。我们审查并对此问题的三种方法进行审查并分类:临时,基于规则和分析。据信这是分析形式中最佳手势设计问题的第一次概念化。开发了一种数学双目标模型,反映了判断手势控制系统的心理生理和技术性能措施。数学程序解决了启发式搜索树中的二次分配问题。二次问题,其解决方案是手势词汇GV,通过模拟退火解决了(命令手势匹配)。包括在制定中的一个有用的特征是给予与互补手势成对的匹配(例如拇指向上)与互补的命令对(说明)的优先级。为了验证该过程,可以解决一个例子,用于设计中尺寸机器人命令GV。

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