智能安全带姿态识别数据

主要包括训练数据和测试数据，训练数据和测试数据中都包含安全带挂钩高挂、安全带挂钩平挂、安全带挂钩低挂、安全带静止、安全带放置地面、安全带上下楼梯、安全绳身上缠绕、安全绳地面拖拽、安全绳胸前悬挂等多类别数据。每个类别的数据包含6个磁轴传感器的三轴数据、6个重力传感器三轴数据、6个加速度传感器三轴数据等参数。

This dataset mainly consists of training and test subsets, both of which include multiple categories of data, including high-mounted safety belt hooks, flat-mounted safety belt hooks, low-mounted safety belt hooks, stationary safety belts, safety belts placed on the ground, safety belts used during stair climbing and descending, tangled safety ropes, safety ropes dragged on the ground, and safety ropes hung at the chest position. Each category of data contains parameters such as triaxial measurement data from 6 magnetic axis sensors, triaxial data from 6 gravity sensors, and triaxial data from 6 acceleration sensors.

搜集汇总

背景与挑战

背景概述

该数据集旨在通过机器学习模型识别高空作业中安全带的佩戴姿态，以解决安全带使用不规范导致的安全风险。数据包含多种传感器（如磁轴、重力、加速度传感器）采集的多个类别信息，例如安全带挂钩高挂、低挂、静止等场景，用于训练和测试模型。数据集以Excel格式提供，具有高可靠性和适应性，适用于复杂的高空作业环境。