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

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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.