The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2022
Session ID : 2A1-I05
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Analysis system for solving a dissection puzzle using ArUco markers
*Shunji MiyagawaWen Liang YeohOsamu FukudaNobuhiko YamaguchiHiroshi Okumura
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Abstract

In recent years, toys such as games and puzzles have been attempted to use in enjoyable and/or sustainable rehabilitation. The study focuses on a dissection puzzle, which requires spatial cognition and coordinated movements. In the dissection puzzle, the silhouette shape of the whole blocks is shown as a problem, and the player solves the problem combining small piece of blocks to fill in this shape. However, the training effect of the dissection puzzle in rehabilitation is still unclear. So far, few studies have analyzed the puzzle solving procedure in detail. In this study, we have adopted the dissection puzzle using Tetromino (Tetris block). Tetromino has a simple shape, but difficulty of the problem can be easily arranged. We have developed a system that automatically records and analyzes the solving operation of the dissection puzzle. To measure the movement of the Tetromino, we use ArUco Markers, which can measure 6 degrees of freedom data. The video stream is acquired by a CCD camera, then ArUco markers are detected, and their movements are analyzed in detail. We conducted a basic experiment with the developed system and confirmed the measurement performance.

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© 2022 The Japan Society of Mechanical Engineers
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