计算机科学
教练
覆盖
多媒体
增强现实
人机交互
虚拟现实
灵活性(工程)
运动(物理)
运动捕捉
人工智能
数学
统计
程序设计语言
作者
Hye-Young Jo,Laurenz Seidel,Michel Pahud,Mike Sinclair,Andrea Bianchi
标识
DOI:10.1145/3544548.3580897
摘要
Online fitness video tutorials are an increasingly popular way to stay fit at home without a personal trainer. However, to keep the screen playing the video in view, users typically disrupt their balance and break the motion flow — two main pillars for the correct execution of yoga poses. While past research partially addressed this problem, these approaches supported only a limited view of the instructor and simple movements. To enable the fluid execution of complex full-body yoga exercises, we propose FlowAR, an augmented reality system for home workouts that shows training video tutorials as always-present virtual static and dynamic overlays around the user. We tested different overlay layouts in a study with 16 participants, using motion capture equipment for baseline performance. Then, we iterated the prototype and tested it in a furnished lab simulating home settings with 12 users. Our results highlight the advantages of different visualizations and the system’s general applicability.
科研通智能强力驱动
Strongly Powered by AbleSci AI