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.Comment: 2018 IEEE EMBS International Conference on Biomedical & Health
Informatics (BHI