present a new dataset of smartphone accelerometer data, named UniMiB SHAR (University of Milano Bicocca Smartphone-based Human Activity Recognition). The dataset was created with the aim of providing the scientific community with a …

UniMiB SHAR Introduced by Micucci et al. in UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones Includes 11,771 samples of both human activities and falls performed by 30 subjects of ages ranging from 18 to 60 years.

2016年11月23日 · In this article, we present a new dataset of acceleration samples acquired with an Android smartphone designed for human activity recognition and fall detection. The dataset includes 11,771 samples of both human activities and falls performed by 30 subjects of ages ranging from 18 to 60 years.

In this article, we present a new dataset of acceleration samples acquired with an Android smartphone designed for human activity recognition and fall detection. The dataset includes 11,771 samples of both human activities and falls performed by …

2017年6月5日 · present a new dataset of smartphone accelerometer data, named UniMiB SHAR (University of Milano Bicocca Smartphone-based Human Activity Recognition). The dataset was created with the aim

在本文中，我们展示了一个新的加速度样本数据集，该数据集是通过专为人类活动识别和跌倒检测而设计的 Android 智能手机获取的。 该数据集包括 11,771 个人类活动和跌倒样本，这些样本由 30 名年龄在 18 到 60 岁之间的受试者进行。 样本分为 17 个细粒度类别，分为两个粗粒度类别：一个包含 9 种日常生活活动 (ADL) 的样本，另一个包含 8 种跌倒的样本。 数据集已被存储，以包含所有有助于根据不同标准选择样本的信息，例如 ADL 类型、年龄、性别等。 最后，数据集已经 …

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