Abstract
The measurement of a particular limb in the human body is an important task in many applications. Human behavior understanding typically involves human body posture analysis or estimation, as well as the generated corresponding gestures. This behavioral characterization makes it possible to analyze, interpret and animate human actions and, therefore, enables us to use some experimental methodologies. The present aims to contribute to this field by presenting the development of an experimental measurement system for human gait using accelerometry (an accelerometer network distributed on the body). When the subject walks, the system captures and processes the events and determines the angles of the limb. For results assessment, a virtual body model is presented in real-time motion, with data being stored in a database for future evaluations and analyses. The system proposed in this paper showed an average error of 3.1°, has low cost, high accuracy and is suitable for a wide range of applications.
Published Version
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