使用头部和眼睛运动的深度无监督活动可视化

Proceedings of the 25th International Conference on Intelligent User Interfaces Companion Pub Date : 2020-03-17 DOI:10.1145/3379336.3381503

J. Yamashita, Yoshiaki Takimoto, Hidetaka Koya, Haruo Oishi, T. Kumada

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引用次数: 0

摘要

我们提出了一种基于用户头部和眼球运动的用户活动可视化方法。由于我们使用了一个不显眼的眼镜传感器，所以测量场景是不受约束的。此外，由于无监督的端到端深度算法，用户可以通过对传感器数据低维表示的探索性分析来发现意想不到的活动。我们还提出了一种新的正则化方法，使表示的人不变。

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Deep Unsupervised Activity Visualization using Head and Eye Movements

We propose a method of visualizing user activities based on user's head and eye movements. Since we use an unobtrusive eyewear sensor, the measurement scene is unconstrained. In addition, due to the unsupervised end-to-end deep algorithm, users can discover unanticipated activities based on the exploratory analysis of low-dimensional representation of sensor data. We also suggest the novel regularization that makes the representation person invariant.

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Proceedings of the 25th International Conference on Intelligent User Interfaces Companion

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