DVS-UP-Fall Dataset

DVS-UP-Fall: Event-Based Dataset for Fall Detection The DVS-UP-Fall dataset is an event-based version of the publicly available UP-Fall Detection dataset, tailored for advancing fall detection research using neuromorphic vision sensors and spiking neural networks. This dataset has been generated by converting RGB video data to event streams using two leading event conversion toolkits: v2e (video-to-events) and v2ce (video-to-continuous-events). The dataset is structured into two main ZIP archives: 1. dvs-up-fall-v2e-dataset-160.zip: This archive contains event data generated using the v2e toolkit. 2. dvs-up-fall-v2ce-dataset-160.zip: This archive contains event data generated using the v2ce toolkit. Label Files To support supervised learning and benchmarking, we provide the following label files. CompleteDataSet.csv: Original UP-Fall labels including IMU, EEG, and IR sensor data. labels_multiclass_w1.0.csv: Multiclass activity labels for 1.0-second non-overlapping windows. labels_binary_w1.0.csv: Binary (fall vs. no-fall) labels for 1.0-second non-overlapping windows. labels_multiclass_w0.5.csv: Multiclass activity labels for 0.5-second windows. labels_binary_w0.5.csv: Binary labels for 0.5-second windows. This dataset supports both binary and multiclass activity classification tasks using event-based data and is suitable for training and evaluating spiking neural networks (SNNs). All data is organized per subject, activity, trial, and camera, consistent with the original UP-Fall dataset structure.DVS-UP-Fall：用于跌倒检测的基于事件的数据集 DVS-UP-Fall数据集是公开可用UP-Fall检测数据集的基于事件的版本，专为使用神经形态视觉传感器（neuromorphic vision sensors）和脉冲神经网络（spiking neural networks, SNNs）推进跌倒检测研究而定制。本数据集通过两款主流事件转换工具包——v2e（视频转事件，video-to-events）与v2ce（视频转连续事件，video-to-continuous-events）——将RGB视频数据转换为事件流生成。 本数据集分为两个主要的ZIP压缩归档文件： 1. dvs-up-fall-v2e-dataset-160.zip：该归档包含使用v2e工具包生成的事件数据。 2. dvs-up-fall-v2ce-dataset-160.zip：该归档包含使用v2ce工具包生成的事件数据。 标签文件 为支持监督学习与基准测试，我们提供了以下标签文件： - CompleteDataSet.csv：包含原始UP-Fall数据集的标签，涵盖惯性测量单元（IMU）、脑电图（EEG）以及红外（IR）传感器数据。 - labels_multiclass_w1.0.csv：适用于1.0秒非重叠窗口的多分类活动标签。 - labels_binary_w1.0.csv：适用于1.0秒非重叠窗口的二分类（跌倒vs非跌倒）标签。 - labels_multiclass_w0.5.csv：适用于0.5秒窗口的多分类活动标签。 - labels_binary_w0.5.csv：适用于0.5秒窗口的二分类标签。 本数据集支持基于事件数据的二分类与多分类活动分类任务，适用于训练与评估脉冲神经网络（SNNs）。所有数据均按照原始UP-Fall数据集的结构，按受试者、活动、试验与摄像头进行组织。