ShieldX/Rash-Driving-Detection-on-Bikes-for-ML

该数据集旨在通过从移动和传感器系统收集的数据帮助检测自行车上的鲁莽驾驶行为。它包括传感器读数，如加速度计值、方向（方位角、俯仰角、滚动角）和速度，并带有标签指示骑行行为是否被分类为鲁莽。数据集包含以下特征：
- **加速度计数据**: 沿x、y和z轴的加速度（`ax`、`ay`、`az`）。
- **传感器方向**: 描述自行车方向的方位角、俯仰角和滚动角值。
- **标签**: 一个二进制目标变量（`is_rash`），指示骑行行为是否被认为是鲁莽的（1）或安全的（0）。
该数据集旨在用于训练机器学习模型和异常检测系统，重点关注道路安全和骑手行为分析。

This dataset is designed to aid the detection of rash driving behavior on bikes using data collected from mobile and sensor-based systems. It includes sensor readings such as accelerometer values, orientation (azimuth, pitch, roll), and speed, with labels indicating whether the riding behavior is classified as rash or not. The dataset contains the following features:
- **Accelerometer Data**: Accelerations along the x, y, and z axes (`ax`, `ay`, `az`).
- **Sensor Orientation**: Azimuth, pitch, and roll values describing the orientation of the bike.
- **Label**: A binary target variable (`is_rash`) indicating whether the riding behavior is considered rash (1) or not (0).
This dataset is intended for training machine learning models and anomaly detection systems focused on road safety and rider behavior analysis.