犹他州的一个团队开发了人工智能生物手,用来预测用户的动向,使被截肢者能够更顺畅、更自然地控制。 A Utah team developed an AI bionic hand that predicts users' movements, enabling smoother, more natural control for amputees.

犹他大学的一个团队创建了一支AI动力生物手, 帮助截肢者通过使用肌肉信号、近距离和压力传感器预测其意图来更自然地控制它。 A University of Utah team has created an AI-powered bionic hand that helps amputees control it more naturally by anticipating their intentions using muscle signals, proximity, and pressure sensors. 在一项有四名参加者参加的研究中,该装置使可靠的流体运动——就像握着杯子一样——不投落或压碎物体,不同于传统的假肢。 In a study with four participants, the device enabled reliable, fluid movements—like grasping a cup—without dropping or crushing objects, unlike traditional prosthetics. 人工智能处理潜意识调整,减少精神努力,使手感觉更像是身体的自然延伸。 The AI handles subconscious adjustments, reducing mental effort and making the hand feel more like a natural extension of the body. 研究结果发表在《自然通信》中,这是朝着更直观、更方便用户的假肢迈出的重要一步,可以改善长期使用和提高生活质量。 Published in Nature Communications, the findings represent a major step toward more intuitive, user-friendly prosthetics that could improve long-term use and quality of life.