Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of Graphics Interface 2018 |
| Publisher | Canadian Human-Computer Communications Society / Société canadienne du dialogue humain-machine |
| Publication date | 2018 |
| Pages | 93 - 99 |
| ISBN (Print) | 978-0-9947868-3-8 |
| DOIs | |
| Publication status | Published - 2018 |
| MoE publication type | A4 Article in conference proceedings |
| Event | Graphic Interface: Conference on Graphics, Visualization & HCI - Toronto, Canada Duration: 8 May 2018 → 11 May 2018 Conference number: 2018 http://graphicsinterface.org/conference/2018/ |
Fields of Science
- Computer animation
- Motion optimization
- Human-computer interaction
- sports
- exercise
- climbing
- motivation
- 113 Computer and information sciences
Cite this
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Computer-Aided Imagery in Sport and Exercise: A Case Study of Indoor Wall Climbing. / Naderi, Kourosh; Takatalo, Jari; Lipsanen, Jari; Hämäläinen, Perttu.
Proceedings of Graphics Interface 2018. Canadian Human-Computer Communications Society / Société canadienne du dialogue humain-machine, 2018. p. 93 - 99.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
TY - GEN
T1 - Computer-Aided Imagery in Sport and Exercise: A Case Study of Indoor Wall Climbing
AU - Naderi, Kourosh
AU - Takatalo, Jari
AU - Lipsanen, Jari
AU - Hämäläinen, Perttu
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Computer animation
KW - Motion optimization
KW - Human-computer interaction
KW - sports
KW - exercise
KW - climbing
KW - motivation
KW - 113 Computer and information sciences
U2 - 10.20380/GI2018.13
DO - 10.20380/GI2018.13
M3 - Conference contribution
SN - 978-0-9947868-3-8
SP - 93
EP - 99
BT - Proceedings of Graphics Interface 2018
PB - Canadian Human-Computer Communications Society / Société canadienne du dialogue humain-machine
ER -