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Depth data based capture of human movement for biomechanical application in clinical rehabilitation use

Jochen Radmer, Jörg Krüger

Year
2010
Citations
5

Abstract

In this article current development works of a 3D human movement analysis system are presented which aims to meet the demands for the routine application in the clinical everyday life. The sensory base of the system is a depth camera. Important considered criteria are: easy integration in an available clinical environment, small set-up time at the patient and quick realization of the measurement as well as the exactness of the measuring results. Especially the small setup time enforces a system which is free of marker usage. The functionality of the developed system is demonstrated on a gait therapy robot (see figure 1), though not being limited to it. The resulting gait parameters show similar characteristics to reference gait data.

Keywords

Computer scienceRealization (probability)Computer visionGaitSet (abstract data type)Artificial intelligenceMovement (music)RehabilitationRobotGait analysis

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