This paper presents a low-cost, wearable headset for mobile 3D Point of Gaze (PoG) estimation in assistive applications. The device consists of an eye ...
This paper presents a low-cost, wearable headset for mobile. 3D Point of Gaze (PoG) estimation in assistive applications. The device consists of an eye tracking ...
This paper presents a low-cost, wearable headset for mobile 3D Point of Gaze (PoG) estimation in assistive applications. The device consists of an eye ...
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In this paper, we focus on a multi-modal deep neural network and DS evidence theory based RGB-D object recognition methods. First, the RGB and depth images are ...
Missing: eye gaze
In this work we propose a multimodal approach which combines depth and visual information to address the gaze estimation problem.
This study introduces an integrated object detection and eye-tracking system designed to utilize worker gaze data directly, eliminating the requirement for ...
We propose an automatic surveillance system for user identification and object recognition based on multi-modal RGB-Depth data analysis.
Missing: eye gaze
Oct 5, 2023 · To address these issues, we introduce a real-time, multi-modal sensing system employing. 3D time-of-flight and RGB cameras, coupled with.
Mar 10, 2022 · This paper proposes a multi-modal learning solution using various deep learning models. To extract features from RGB images that have spacecraft and debris,
Multi-modal approaches combine information from different sources, such as visual and audio data, to improve the accuracy of carried object detection [4] .
Missing: eye gaze