Zhang Ting, Zhang Ning, Li Yang, Zeng Bo, Jiang Li
IEEE Trans Neural Syst Rehabil Eng. 2023;31:738-748. doi: 10.1109/TNSRE.2022.3231972. Epub 2023 Feb 2.
Stable grasping without slips or crushing is a major challenge for amputees who lose the natural sensorimotor system in dynamically changing daily life environments. Amputees rely largely on visual cues to control the prosthetic hand to complete daily living activities due to a lack of haptic feedback. The human tactile sense can simultaneously feel normal and shear forces. When grasping objects based on the anticipated load conditions, the human hand adjusts the grasping force in real time based on shear force feedback. Here, a sensorimotor-inspired grasping strategy for a dexterous prosthetic hand is proposed to improve grasping performance. The proposed grasping strategy allows the amputee to intuitively control the prosthetic hand. The dexterous prosthetic hand can adaptively adjust the grasp force based on tactile sensory feedback to simultaneously prevent the slipping of objects with unknown shapes, weight, roughness, and softness. Experiments show that the myoelectrical prosthetic hand has grasping force adaptive adjustment and slip prevention ability and provides improved grasping compared to prosthetics with traditional open-loop control.
对于在动态变化的日常生活环境中失去自然感觉运动系统的截肢者来说,实现稳定抓握且不滑落或挤压是一项重大挑战。由于缺乏触觉反馈,截肢者在很大程度上依赖视觉线索来控制假手完成日常生活活动。人类的触觉能同时感知法向力和剪切力。在根据预期负载条件抓握物体时,人手会基于剪切力反馈实时调整抓握力。在此,提出一种受感觉运动启发的灵巧假手抓握策略,以提高抓握性能。所提出的抓握策略使截肢者能够直观地控制假手。灵巧假手可基于触觉感官反馈自适应地调整抓握力,同时防止形状、重量、粗糙度和柔软度未知的物体滑落。实验表明,与具有传统开环控制的假肢相比,肌电假手具有抓握力自适应调整和防滑能力,并且抓握效果更好。