engleski

Human Gait Data Mining by Symbol Based Descriptive Features

Most medical applications which include large dataset require search by example capability. Such similarity-based retrieval has attracted a great deal of attention in recent years. This paper proposes an approach for efficient processing of human gait by using symbolization of different features by means of feature description. We evaluated this approach against database that holds limited set of kinematics, kinetic and EMG data, describing simple step (a subset of standard gait variables). The measurement was performed in the Biomechanics Laboratory at the Faculty of Kinesiology, University of Zagreb, using 2002-ELITE system with Kistler platform (40 cm by 60 cm).

descriptive features; data mining; gait analysis

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