Interactive Displays in Vehicles: Improving Usability with a Pointing Gesture Tracker and Bayesian Intent Predictors
Interactive Displays in Vehicles: Improving Usability with a Pointing Gesture Tracker and Bayesian Intent Predictors
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车辆中的交互式显示器：通过指向手势跟踪器和贝叶斯意图预测器提高可用性
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
L. Skrypchuk
中科院分区：
文献类型：
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作者：
B. I. Ahmad;P. Langdon;S. Godsill;Robert Hardy;Eduardo Dias;L. Skrypchuk
交互式显示器正在成为现代车辆环境的集成部分。它们的使用通常需要投入相当多的注意力并进行指向手势以选择在触摸屏上显示的界面项/图标。这可能会对驾驶员造成严重的安全隐患。由于道路和驾驶条件，指向手势也可能受到高度干扰，从而导致错误的选择。在本文中，我们提出了一种概率意图预测方法，有利于建立有针对性的图标在界面上的指向手势的早期。它采用3D视觉传感设备，结合合适的贝叶斯预测算法来连续跟踪指向手/手指。所介绍的技术可以显着减少指向任务的完成时间，必要的相关的视觉，认知和运动的努力，以及提高选择的准确性。大量提供的增益和指向姿态特性证明使用在仪表车辆中收集的数据。
Interactive displays are becoming an integrated part of the modern vehicle environment. Their use typically entails dedicating a considerable amount of attention and undertaking a pointing gesture to select an interface item/icon displayed on a touchscreen. This can have serious safety implications for the driver. The pointing gesture can also be highly perturbed due to the road and driving conditions, resulting in erroneous selections. In this paper, we propose a probabilistic intent prediction approach that facilitates establishing the targeted icon on the interface early in the pointing gesture. It employs a 3D vision sensory device to continuously track the pointing hand/finger in conjunction with suitable Bayesian prediction algorithms. The introduced technique can significantly reduce the pointing task completion time, the necessary associated visual, cognitive and movement efforts as well as enhance the selection accuracy. The substantial furnished gains and the pointing gesture characteristics are demonstrated using data collected in an instrumented vehicle.
过滤受干扰的车内指向手势轨迹：提高意图推断的可靠性
DOI：
10.1109/mlsp.2014.6958860
发表时间：
2014
期刊：
--
影响因子：
--
作者：
Ahmad B
通讯作者：
Ahmad B