VoLearn: An Operable Motor Learning System with Auditory Feedback

被引:0
作者
Xia, Chengshuo [1 ]
Fang, Xinrui [1 ]
Sugiura, Yuta [1 ]
机构
[1] Keio Univ, Yokohama, Kanagawa, Japan
来源
ADJUNCT PROCEEDINGS OF THE 34TH ANNUAL ACM SYMPOSIUM ON USER INTERFACE SOFTWARE AND TECHNOLOGY, UIST 2021 | 2021年
关键词
Cross-modality; feedback; motor learning; virtual avatar;
D O I
10.1145/3474349.3480186
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Previous motor learning systems rely on a vision-based workfow both from feed-forward and feedback process, which limits the application requirement and scenario. In this demo, we presented a novel cross-modal motor learning system named VoLearn. The novice is able to interact with desired motion through a virtual 3D interface and obtain the audio feedback based on a personal smartphone. Both interactivity and user-accessibility of the designed system contribute to a wider range of applications and reduce the limitations in the applied space as well.
引用
收藏
页码:103 / 105
页数:3
相关论文
共 5 条
[1]  
Anderson Fraser, 2013, Proceedings of User Interface Software and Technology UIST, P311, DOI DOI 10.1145/2501988.2502045
[2]  
Delamare William., 2016, Proceedings of the International Working Conference on Advanced Visual Interfaces, P152, DOI [10.1145/2909132.2909260, DOI 10.1145/2909132.2909260]
[3]   Detecting Unseen Anomalies in Weight Training Exercises [J].
Kowsar, Yousef ;
Moshtaghi, Masud ;
Velloso, Eduardo ;
Kulik, Lars ;
Leckie, Christopher .
PROCEEDINGS OF THE 28TH AUSTRALIAN COMPUTER-HUMAN INTERACTION CONFERENCE (OZCHI 2016), 2016,
[4]   3D human pose estimation in video with temporal convolutions and semi-supervised training [J].
Pavllo, Dario ;
Feichtenhofer, Christoph ;
Grangier, David ;
Auli, Michael .
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, :7745-7754
[5]   Physio@Home: Exploring Visual Guidance and Feedback Techniques for Physiotherapy Exercises [J].
Tang, Richard ;
Yang, Xing-Dong ;
Bateman, Scott ;
Jorge, Joaquim ;
Tang, Anthony .
CHI 2015: PROCEEDINGS OF THE 33RD ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2015, :4123-4132