Haptic Perceptual Instruments

触觉感知仪器

• 批准号: 9309371
• 负责人: Michael Turvey
• 金额: $ 39.37万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-02-01 至 1997-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9309371&HistoricalAwards=false
• 关键词: Haptic; Perceptual; Instruments

9309371 TURVEY This research will address how perception of the properties of objects and surfaces can be achieved on the basis of touch and without benefit of vision. The focus will be on the dynamic touch system, in which perception is tied to circumstances that affect the muscle and tendon states (as when effort is expended in order to heft an object or strike surrounding surfaces with a cane). In these experiments, people will wield an unseen object to perceive its length, weight, shape, or orientation, use a cane to explore occluded objects, apertures, and surfaces at a distance, or oscillate a taut strand anchored at both ends to perceive objects attached to the strand. They will adjust movable surfaces or visible pointers to quantify the perceived properties. Distance, length, orientation, and so on, will be manipulated. The experiments will be directed, first, at identifying the capabilities of the dynamic touch system, i.e., what properties can be perceived reliably, and, second, at the basis of that perception. The latter will highlight the physical constants that relate the lawfully varying forces and motions; these constants are assumed to govern perception of object and surface properties by dynamic touch. Identifying hand-related capabilities and the physical properties that underwrite them will have implications for the design of robotic limbs and prostheses, as well as for the general theory of special purpose cognitive mechanisms. ***

9309371特维这项研究将解决如何在没有视觉优势的情况下，在触摸的基础上实现对物体和表面属性的感知。重点将放在动态触摸系统上，在该系统中，感知与影响肌肉和肌腱状态的环境捆绑在一起(例如，为了举起物体或用拐杖击打周围表面，需要付出努力)。在这些实验中，人们将挥舞看不见的物体来感知它的长度、重量、形状或方向，使用拐杖探索被遮挡的物体、孔和远处的表面，或者摆动两端锚定的绷紧的绳子来感知附着在绳子上的物体。他们将调整可移动的表面或可见的指针，以量化感知的属性。将操纵距离、长度、方向等。这些实验将首先针对识别动态触摸系统的能力，即，可以可靠地感知哪些属性，以及第二，基于该感知。后者将强调与合法变化的力和运动相关的物理常量；这些常量被假定为通过动态触摸来支配对物体和表面属性的感知。识别与手相关的能力和支持这些能力的物理特性将对机械臂和假肢的设计以及特殊用途认知机制的一般理论产生影响。***