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Tactile Perception of Objects by the User's Palm for the Development of Multi-contact Wearable Tactile Displays

机译:用户的手掌对对象的触觉感知,以开发多触点可穿戴触觉显示器

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The user's palm plays an important role in object detection and manipulation. The design of a robust multi-contact tactile display must consider the sensation and perception of the stimulated area, aiming to deliver the right stimuli at the correct location. To the best of our knowledge, there is no study to obtain the human palm data for this purpose. The objective of this work is to introduce a method to investigate the user's palm sensations during the interaction with objects. An array of fifteen Force Sensitive Resistors (FSRs) was located at the user's palm to get the area of interaction, and the normal force delivered to four different convex surfaces. Experimental results showed the active areas at the palm during the interaction with each of the surfaces at different forces. The obtained results were verified in an experiment for pattern recognition to discriminate the applied force. The patterns were delivered in correlation with the acquired data from the previous experiment. The overall recognition rate equals 84%, which means that user can distinguish four patterns with high confidence. The obtained results can be applied in the development of multi-contact wearable tactile and haptic displays for the palm, and in training a machine-learning algorithm to predict stimuli aiming to achieve a highly immersive experience in Virtual Reality.
机译:用户的手掌在物体检测和操纵中起着重要作用。坚固的多触点触觉显示器的设计必须考虑受刺激区域的感觉和感知,旨在在正确的位置提供正确的刺激。据我们所知,尚无研究可获取用于此目的的人手掌数据。这项工作的目的是介绍一种在与对象交互过程中调查用户手掌感觉的方法。在用户的手掌处放置了十五个力敏电阻(FSR)阵列,以获取交互作用区域,并将法向力传递到四个不同的凸面。实验结果表明,在不同力作用下,与每个表面相互作用时手掌的活动区域。在用于图案识别的实验中验证了所获得的结果,以区分所施加的力。传递的模式与先前实验中获得的数据相关。总体识别率为84%,这意味着用户可以高置信度区分四种模式。获得的结果可用于手掌的多触点可穿戴式触觉和触觉显示器的开发,并可用于训练机器学习算法以预测刺激,从而在虚拟现实中实现高度沉浸的体验。

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