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Mechanical Energy Expenditure-based Comfort Evaluation Model for Gesture Interaction

机译:基于机械能耗的姿态互动舒适评估模型

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摘要

As an advanced interaction mode, the gesture has been widely used for the human-computer interaction (HCI). The paper proposes a comfort evaluation model based on the mechanical energy expenditure (MEE) and the mechanical efficiency (ME) to predict the comfort of gestures. The proposed comfort evaluation model takes nineteen muscles and seven degrees of freedom into consideration based on the data of muscles and joints and is capable of simulating the MEE and the ME of both static and dynamic gestures. The comfort scores (CSs) can be therefore calculated by normalizing and assigning different decision weights to the MEE and the ME. Compared with the traditional comfort prediction methods based on measurement, on the one hand, the proposed comfort evaluation model makes it possible for providing a quantitative value for the comfort of gestures without using electromyography (EMG) or other measuring devices; on the other hand, from the ergonomic perspective, the results provide an intuitive indicator to predict which act has the higher risk of fatigue or injury for joints and muscles. Experiments are conducted to validate the effectiveness of the proposed model. According to the comparison result among the proposed comfort evaluation model, the model based on the range of motion (ROM) and the model based on the method for movement and gesture assessment (MMGA), a slight difference can be found due to the ignorance of dynamic gestures and the relative kinematic characteristics during the movements of dynamic gestures. Therefore, considering the feedback of perceived effects and gesture recognition rate in HCI, designers can achieve a better optimization for the gesture design by making use of the proposed comfort evaluation model.
机译:作为先进的交互模式,该手势已广泛用于人机交互(HCI)。本文提出了一种基于机械能耗(MEE)和机械效率(ME)来预测手势的舒适评估模型。基于肌肉和关节的数据,所提出的舒适评估模型需要十九次肌肉和七个自由度,并能够模拟静态和动态手势的MEE和ME。因此,可以通过对MEE和ME标准化和分配不同的决策权重来计算舒适评分(CSS)。与基于测量的传统舒适预测方法相比,一方面,所提出的舒适评估模型使得可以提供用于舒适的手势而不使用励磁(EMG)或其他测量装置的定量值。另一方面,从符合人体工程学的角度来看,结果提供了直观的指标,预测哪种作用具有更高的疲劳风险或关节和肌肉的伤害。进行实验以验证所提出的模型的有效性。根据比较结果,提出的舒适评价模型,基于运动范围的模型和基于运动方法的模型和姿态评估(MMGA),由于无知,可以发现略有差异动态手势和动态手势运动过程中的相对运动特性。因此,考虑到HCI中的感知效果和手势识别率的反馈,设计人员可以通过利用所提出的舒适评估模型来实现姿态设计的更好优化。

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    Northwestern Polytech Univ Sch Mech Engn Xian 710072 Shaanxi Peoples R China;

    Northwestern Polytech Univ Sch Mech Engn Xian 710072 Shaanxi Peoples R China;

    Northwestern Polytech Univ Sch Mech Engn Xian 710072 Shaanxi Peoples R China;

    Northwestern Polytech Univ Sch Mech Engn Xian 710072 Shaanxi Peoples R China;

    Northwestern Polytech Univ Sch Mech Engn Xian 710072 Shaanxi Peoples R China;

    Northwestern Polytech Univ Sch Mech Engn Xian 710072 Shaanxi Peoples R China;

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  • 正文语种 eng
  • 中图分类 寄生生物学 ;
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