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强大的手指与COTS智能手表的互动通过无监督的罗适应

Wenqiang Chen¹, Ziqi Wang², Pengrui Quan²

¹Massachusetts Institute of Technology USA.

Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology

|March 22, 2024

概括

使用单个IMU传感器,ViWatch可以在智能手表上实现强大的手指交互. 这种无监督的系统达到97%的准确性,为小型智能手表接口提供了方便的替代方案.

科学领域:

人与计算机的互动.
可穿戴技术是可穿戴的技术.
传感器的融合传感器

背景情况:

智能手表和可穿戴设备提供方便,但界面有限.
小屏幕阻碍了用户交互和计算功能.
现有的解决方案往往需要复杂的校准或多个传感器.

研究的目的:

介绍ViWatch,这是一个新的系统,用于智能手表上强大的手指交互.
为了克服小智能手表接口的局限性,使用无处不在的IMU传感器.
开发一种无监督学习方法,用于准确和可适应的相互作用检测.

主要方法:

设计了一个无监督的姆人对抗性学习框架.
使用了智能手表中常见的单个惯性测量单元 (IMU) 传感器.
开发了一个实时系统部署在商品智能手表.
对100多名志愿者进行了广泛的测试.

主要成果:

在为期一周的评估中,系统准确度达到了大约97%.
对手形状,手指活动和设备放置的变化证明了强度.
用户研究表明,他们更喜欢不受监督的方法,而不是监督的校准.

结论:

ViWatch为智能手表上的基于手指的交互提供了一个高度准确和可适应的解决方案.
无监督学习方法消除了对繁的监督校准的需要.
ViWatch提高了智能手表的可用性,并为新的移动应用程序开辟了可能性.

关键词:

指的互动互动指的互动手势识别手势识别没有监督的对抗性训练振动传感器振动传感器

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