LEARNING
Body posture measurement in a context of example-based teaching
Éric Benoît, Stéphane Perrin, Didier Coquin
- Year
- 2015
- Citations
- 2
- Access
- Open access
Abstract
This paper presents a measurement process of body postures operated in a context of humanoid robot learning. The basic measured quantities are the angle joints of a human skeleton and the angle joints of a humanoid robot. Due to the differences between the two mechanical structures, the measurement results are expressed into a common representation space by the way of fuzzy scales. This paper shows how the common representation space can be defined, and presents a method to match weakly defined postures with uncertain measurements of a human posture.
Keywords
Humanoid robotRepresentation (politics)Context (archaeology)Process (computing)Computer visionArtificial intelligenceComputer scienceSpace (punctuation)RobotFuzzy logic
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