Computer-aided imagery in sport and exercise
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Date
2018-01-01
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Mcode
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Language
en
Pages
7
84-90
84-90
Series
Proceedings Graphics Interface 2018, GI 2018, Volume 2018-May
Abstract
Movement artificial intelligence of simulated humanoid characters has been advancing rapidly through joint efforts of the computer animation, robotics, and machine learning communitites. However, practical real-life applications are still rare. We propose applying the technology to mental practice in sports, which we denote as computer-aided imagery (CAI). Imagery, i.e., rehearsing the task in one's mind, is a difficult cognitive skill that requires accurate mental simulation; we present a novel interactive computational sport simulation for exploring and planning movements and strategies. We utilize a fully physically-based avatar with motion optimization that is not limited by a movement dataset, and customize the avatar with computer vision measurements of user's body. We evaluate the approach with 20 users in preparing for real-life wall climbing. Our results indicate that the approach is promising and can affect body awareness and feelings of competence. However, more research is needed to achieve accurate enough simulation for both gross-motor body movements and fine-motor control of the myriad ways in which climbers can grasp climbing holds or shapes.Description
Keywords
Climbing, Computer animation, Exercise, Humancomputer interaction, Motion optimization, Motivation, Sports
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Citation
Naderi , K , Takatalo , J , Lipsanen , J & Hämäläinen , P 2018 , Computer-aided imagery in sport and exercise : A case study of indoor wall climbing . in Proceedings Graphics Interface 2018, GI 2018 . vol. 2018-May , Canadian Human-Computer Communications Society , pp. 84-90 , Graphics Interface , Toronto , Canada , 08/05/2018 . https://doi.org/10.20380/GI2018.13
