From Motion Observation to Qualitative Motion Representation

Since humans usually prefer to communicate in qualitative and not in quantitative categories, qualitative spatial representations are of great importance interfaces of systems that involve spatial tasks. Abstraction is the key for the generation of qualitative representations from observed data. This paper deals with the conversion of motion data into qualitative representations, and it presents neralization algorithm that abstracts from irrelevant details of a course n. In a further step of abstraction, the shape of a course of motion is used for qualitative representation. Our approach is motivated by findings of our own experimental research on the processing and representation of spatio-temporal information in the human visual system.

• Type: Conference
• Year: 2000
• Where: SPATIALCOGNITION
• Authors: Alexandra Musto, Klaus Stein, Andreas Eisenkolb, Thomas Röfer, Wilfried Brauer, Kerstin Schill
• Keywords: Great Importance Interfaces, Information Management, Qualitative Representation, Qualitative Spatial Representations, SPATIALCOGNITION 2000