Tempo Synchronization of Physical Activities with a Mixed-Reality Human-Machine-Interface
Tempo Synchronization of Physical Activities with a Mixed-Reality Human-Machine-Interface
复制标题
通过混合现实人机界面实现身体活动的节奏同步
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Y. Hirata
中科院分区：
文献类型：
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作者：
S. Gutierrez;José Salazar;Y. Hirata
体能训练员通过提供多模式反馈并使训练适应他们的需要和进展，帮助受训者增加他们对体力活动的运动学习。然而，由于培训师是一种稀缺资源，再加上COVID19大流行造成的社会距离，没有多少人有机会获得培训师。为了鼓励人们继续锻炼身体活动，这项工作呈现了一个多通道的人机界面，自动指导交际舞。这是通过提供参考位置和速度轨迹的触觉、听觉和视觉反馈以及其节奏来实现的。所提出的方法在20名受试者的实验中进行了测试。研究发现，受试者在训练过程中和训练后能够减少他们的位置、速度和同步误差，这表明使用者可以保留所学的技能。此外，我们还观察到，节奏越快，性能越好。
Physical trainers aid trainees to increase their motor learning of physical activities by providing multimodal feedback as well as adapting the training to their needs and progress. However, due to the fact that trainers are a scarce resource, added to the social distancing caused by the COVID19 pandemic, not many people have access to a trainer. In order to encourage people to continue practicing physical activities, this work presents a multimodal human-machine interface that automatically coaches ballroom dance. This is achieved by providing haptic, auditory, and visual feedback of the reference position and velocity trajectories, as well as its tempo. The proposed approach was tested in an experiment with 20 subjects. It was found out that subjects were able to reduce their position, velocity, and synchronization errors during and after the training, suggesting that users can retain the learned skills. Furthermore, we observed that higher performance is obtained at faster tempos.
DOI：
10.1109/whc.2019.8816171
发表时间：
2019-03
期刊：
2019 IEEE World Haptics Conference (WHC)
影响因子：
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作者：
Julie M. Walker;N. Zemiti;P. Poignet;A. Okamura
通讯作者：
Julie M. Walker;N. Zemiti;P. Poignet;A. Okamura