Title
Vr-Based Batter Training System With Motion Sensing And Performance Visualization
Abstract
This paper aims to establish a novel VR system for evaluating the performance of baseball batters. Existing VR systems for sports have been utilized as a tool for image training. In order to move such VR systems to the next stage, we introduce functions that sense the users' reaction to the VR stimulus. Our VR system has three features; (a) it synthesizes highly realistic VR video from the data captured in actual games, (b) it estimates the reaction of the user to the VR stimulus by capturing the 3D positions of full body parts, and (c) it consists of off-the-shelf devices and is easy to use. Our demonstration provides users with a chance to experience our VR system and give them some quick feedback by visualizing the estimated 3D positions of their body parts.
Year
DOI
Venue
2019
10.1109/VR.2019.8798005
2019 26TH IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR)
Keywords
Field
DocType
Human-centered computing, Human computer interaction, Interaction paradigms, Virtual reality Human-centered computing, Visualization, Visualization design and evaluation methods
Computer vision,Computer science,Visualization,Training system,Human–computer interaction,Human-centered computing,Artificial intelligence,Motion sensing
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Kosuke Takahashi155.86
Dan Mikami211817.60
Mariko Isogawa342.29
Yoshinori Kusachi400.68
Naoki Saijo500.34