犹他大学研究人员创建了人工智能生物手,自动调整抓力,改进控制,减少被截肢者的心理努力。 University of Utah researchers created an AI bionic hand that adjusts grip automatically, improving control and reducing mental effort for amputees.

犹他大学的研究人员开发了一只AI动力生物手,它利用传感器和机器学习来自主调整控制、改进灵敏度和减少被截肢者的心理努力。 Researchers at the University of Utah have developed an AI-powered bionic hand that uses sensors and machine learning to autonomously adjust grip, improving dexterity and reducing mental effort for amputees. 该假肢以TASKA模型为基础,带有压力和光感应器的指尖,在接触前探测物体,使自然、直觉的捕捉能够不受意识控制地进行。 The prosthetic, based on a TASKA model, features fingertips with pressure and optical sensors that detect objects before contact, enabling natural, intuitive grasping without conscious control. 在对四名截肢者进行的试验中,该装置大大提高了任务性能,减少了认知负荷,解决了用户放弃假肢的一个主要原因。 In trials with four amputees, the device significantly improved task performance and reduced cognitive load, addressing a major reason users abandon prosthetics. 该小组计划整合大脑-计算机接口,以便能够进行思想控制的运动,并恢复感官反馈,目的是使假肢感觉像身体的自然延伸。 The team plans to integrate brain-computer interfaces to enable thought-controlled movement and restore sensory feedback, aiming to make prosthetics feel like natural extensions of the body.