Edge-Assisted Object Detection Using Eye Tracking Function of Mixed Reality Devices
Edge-Assisted Object Detection Using Eye Tracking Function of Mixed Reality Devices
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DOI：
10.1109/icce56470.2023.10043470
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发表时间：
2023-01
期刊：
影响因子：
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通讯作者：
Mitsuhiro Yamashita;M. Bandai
中科院分区：
文献类型：
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作者：
Mitsuhiro Yamashita;M. Bandai
虽然对象检测方法具有扩展混合现实（MR）边界的巨大潜力，但是它们通常难以在具有有限计算资源的当前MR设备上执行。在本文中，我们提出了一种边缘辅助的对象检测方法，该方法使用MR设备的眼睛跟踪功能来确定对象检测任务是否应该卸载到边缘服务器进行处理，从而减少MR设备的处理负载。我们使用Microsoft HoloLens 2来实现和评估所提出的方法，以确认其有效性。
Although object detection methods have significant potential to extend the boundaries of mixed reality (MR), they are often difficult to execute on current MR devices that have limited computing resources. In this paper, we propose an edge-assisted object detection method that uses the eye-tracking function of MR devices to determine whether an object detection task should be offloaded to an edge server for processing and thus reduce the MR device processing load. We implement and evaluate the proposed method using a Microsoft HoloLens 2 to confirm its effectiveness.