论文标题
物理相互作用的人调节肌肉共激活以改善视觉感知感知
Physically interacting humans regulate muscle coactivation to improve visuo-haptic perception
论文作者
论文摘要
当与伴侣一起移动钢琴或跳舞探戈时，我应该如何控制手臂的肌肉，以最好地感受到他们的动作并顺利进行或指导它们？在这里，我们观察物理连接对如何通过臂的视力和伴侣的性能来跟踪移动目标的肌肉共激活。当伴侣的性能恶化时，它们使肌肉同时激活以使手臂变硬，并通过视觉反馈模糊放松。计算建模表明，这种自适应感应属性无法通过早期模型中提出的运动误差最小化来解释。取而代之的是，个人可以巧妙地控制手臂刚度，以指导计划的运动，同时最大程度地减少努力并从合作伙伴运动中提取有用的触觉信息。中枢神经系统调节肌肉的激活，以通过视力和触觉的准确任务信息指导运动，同时最大程度地减少代谢成本。
When moving a piano or dancing tango with a partner, how should I control my arm muscles to best feel their movements and follow or guide them smoothly? Here we observe how physically connected pairs tracking a moving target with the arm modify muscle coactivation with their visual acuity and the partners performance. They coactivate muscles to stiffen the arm when the partners performance is worse, and relax with blurry visual feedback. Computational modelling show that this adaptive sensing property cannot be explained by movement error minimization proposed in earlier models. Instead, individuals skilfully control the arms stiffness to guide it on the planned motion while minimizing effort and extracting useful haptic information from the partners movement. The central nervous system regulates muscles' activation to guide motion with accurate task information from vision and haptics while minimizing the metabolic cost.
