five

3DO Dataset

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arXiv2025-09-30 收录
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https://zenodo.org/records/10925351
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资源简介:
该数据集是一个专为评估模型在变化环境条件下跨领域泛化能力的穿墙WiFi人体活动识别(HAR)数据集,重点关注穿墙场景中的静态和动态变化。该数据集包含超过120万个标记的WiFi数据包,以100赫兹的频率记录,活动在受控的办公环境中进行。规模上,单一参与者在三天内执行三种宏观活动。任务目标是人体活动识别。

This dataset is a through-wall WiFi-based Human Activity Recognition (HAR) dataset specifically developed to assess a model's cross-domain generalization capability under varying environmental conditions, with a core focus on static and dynamic variations within through-wall scenarios. It comprises over 1.2 million labeled WiFi packets, collected at a sampling rate of 100 Hz, with all activities conducted in a controlled office environment. Regarding the dataset scale, a single participant completed three macro-level activities over a three-day period. The task objective is human activity recognition.
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