Visualization of Swiping Motion of Competitive Karuta Using 3D Bone Display
Risa Kitagawa, Takayuki Itoh · 2023
Each player of competitive Karuta has a unique posture and a style of swiping the cards, which are important factors in winning a game that requires the swift acquisition of all 50 cards. It is essential to analyze the characteristics of a player's posture in order to achieve the swift acquisition. While previous studies on the analysis of posture of competitive Karuta required special devices to be attached to the body for measuring brain activity or analyzing wrist acceleration to determine the speed of a player. Such approaches were problematic since they may interfere with the natural movement of the players. To address this issue, we are developing a visualization system that displays the three-dimensional skeletal movements of multiple players in response to a read the poetry of Karuta. We utilize skeletal information extracted from videos using Mediapipe, developed by Google, to compare and analyze the movements of different players. This paper presents the results of our analysis, which compared the swiping movements of multiple players using our proposed system.