研究人员开发了车内手语语料库 (ICSL)，这是一个新的多模态数据集，旨在推进车辆等受限空间内的手语识别 (SLR)。该数据集包括高精度运动捕捉数据以及来自 2D 摄像头和 3D 飞行时间传感器的真实世界录音，总计超过 150 万帧。该资源旨在通过训练鲁棒的 SLR 模型来提高公共交通对聋哑和听障人士的可及性。 AI
影响 该数据集可以通过改善车内沟通，使公共交通对聋哑和听障人士更加便利。
排序理由 该集群包含一篇描述新数据集的学术论文。
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arXiv:2607.11341v1 Announce Type: new Abstract: This paper addresses the challenges of using sign language within shared mobility services, such as taxis, carpools, or ride-sharing platforms. The use of sign language recognition (SLR) in real-world, confined environments, specifi…
This paper addresses the challenges of using sign language within shared mobility services, such as taxis, carpools, or ride-sharing platforms. The use of sign language recognition (SLR) in real-world, confined environments, specifically vehicle interiors remains largely unexplor…
This paper addresses the challenges of using sign language within shared mobility services, such as taxis, carpools, or ride-sharing platforms. The use of sign language recognition (SLR) in real-world, confined environments, specifically vehicle interiors remains largely unexplor…