Materialization of motions: tangible representation of dance movements for learning and archiving
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We propose a method to learn and archive dance movements by fabricating tangible three-dimensional (3D) human forms. We analyze the pattern of the tempo and rhythm of a music piece and fabricate the shape of a 3D body based on the motions of the dance performer by using a 3D printer. For the implementation, we employ a depth camera to capture 3D information of a dance movement. Appropriate movements are extracted from the file at every constant tempo by analyzing the tempo of the music piece played while the dance is performed. The 3D printer enables tangible modeling of the dance movements.
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