Assessment of gait normality using a depth camera and mirrors
University of Montreal（蒙特利尔大学）；University of Science and Technology（科技大学）
英文摘要：
This paper presents an initial work on assessment of gait normality in which the human body motion is represented by a sequence of enhanced depth maps. The input data is provided by a system consisting of a Time-of-Flight (ToF) depth camera and two mirrors. This approach proposes two feature types to describe characteristics of localized points of interest and the level of posture symmetry. These two features are processed on a sequence of enhanced depth maps with the support of a sliding window to provide two corresponding scores. The gait assessment is finally performed based on a weighted combination of these two scores. The evaluation is performed by experimenting on 6 simulated abnormal gaits.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
