A Qualitative Approach to the Identification, Visualisation and Interpretation of Repetitive Motion Patterns in Groups of Moving Point Objects
Journal: The International Arab Journal of Information Technology (Vol.12, No. 5)Publication Date: 2015-09-01
Authors : Seyed Chavoshi; Bernard De Baets; Yi Qiang; Guy De Tré; Tijs Neutens; Nico Van de Weghe;
Page : 415-423
Keywords : MPO; QTC; similarity analysis; repetitive motion patterns; continuous triangular model;
Abstract
Discovering repetitive patterns is important in a wide range of research areas, such as bioinformatics and human movement analysis. This study puts forward a new methodology to identify, visualise and interpret repetitive motion patterns in groups of Moving Point Objects (MPOs). The methodology consists of three steps. First, motion patterns are qualitatively described using the Qualitative Trajectory Calculus (QTC). Second, a similarity analysis is conducted to compare motion patterns and identify repetitive patterns. Third, repetitive motion patterns are represented and interpreted in a continuous triangular model. As an illustration of the usefulness of combining these hitherto separated methods, a specific movement case is examined: Samba dance, a rhythmical dance with many repetitive movements. The results show that the presented methodology is able to successfully identify, visualize and interpret the contained repetitive motions
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