Multimodal Integration of Wearable Sensor Signals for Ambulatory Gait and Posture Analysis

无线可穿戴传感器系统(WSS)能够捕获连续、客观的步态和姿势行为指标，为人体运动控制研究、诊断康复结果的监测和诊断以及辅助技术的控制系统设计提供了新的可能性。限制WSS当前适用性和效率的主要技术挑战包括：1)捕获详细步态参数的准确性和可靠性不佳；2)提取有关物理环境的上下文信息以解释数据的技术很少；以及3)分析步态和姿势行为的大型纵向数据集的有效方法很少。这项研究计划的长期目标是提高WSS在步行和姿势分析中的准确性、可靠性和适用性。

Wireless, wearable sensor systems (WSS) capable of capturing continuous, objective metrics of gait and postural behavior offer new possibilities for human motor control research, monitoring and diagnosing rehabilitation outcomes for diagnosis, and control systems design of assistive technologies. Major technical challenges that limit the current applicability and efficiency of WSS include: 1) suboptimal accuracy and reliability in capturing detailed gait parameters, 2) few techniques to extract contextual information about the physical environment to interpret data, and 3) few validated approaches to analyze large, longitudinal datasets of gait and posture behaviour. The long-term goal of this research program is to advance the accuracy, reliability, and applicability of WSS for ambulatory gait and posture analysis.