Gait adaptation is an important part of gait analysis and its neuronal origin and dynamics has been studied extensively. In neurorehabilitation, it is important as it perturbs neuronal dynamics and allows patients to restore some of their motor function. Exoskeletons and robotics of the lower limbs are increasingly used to facilitate rehabilitation as well as supporting daily function. Their efficiency and safety depends on how well can sense the human intention to move and adapt the gait accordingly. This paper presents a gait adaptation scheme in natural settings. It allows monitoring of subjects in more realistic environment without the requirement of specialized equipment such as treadmill and foot pressure sensors. We extract gait characteristics based on a single RBG camera whereas wireless EEG signals are monitored simultaneously. We demonstrate that the method can not only successfully detect adaptation steps but also detect efficiently whether the subject adjust their pace to higher or lower speed.
翻译:Gait适应是行为分析的一个重要部分,其神经起源和动态得到了广泛的研究。在神经康复中,它十分重要,因为它会干扰神经动态,使病人能够恢复一些运动功能。外骨干和下肢的机器人越来越多地用于促进康复和支持日常功能。它们的效率和安全取决于人类移动和调整运动的意向如何感知到自然环境中的动作适应计划。它允许在更现实的环境中监测对象,而不需要运动机和脚压感应器等专门设备。我们利用一个RBG相机提取动作特征,同时对无线电子环境仪信号进行监测。我们证明,这种方法不仅能够成功地检测适应步骤,而且能够有效地检测对象是否将速度调整到更高或更低的速度。