Dataset of Assessing Bicycle Helmet Protection for Head and Neck in E-Scooter Falls

This dataset was built from experimental tests of e-scooter crashes against a curb. Six e-scooter forward falls, induced by a curb collision at 20 km/h, were simulated in sled tests using a Hybrid III 50th percentile anthropomorphic test device, with and without a helmet. The curb was positioned either perpendicularly or at a 55° angle to the e-scooter's trajectory. The dataset includes head linear and rotational accelerations, upper neck loads (force and moment), chest and pelvis accelerations, chest deflection, as well as high-speed video of the crash tests and pre- and post-crash photos.

本数据集基于电动滑板车（e-scooter）与路缘石（curb）的碰撞试验构建。通过台车试验（sled tests）模拟了6次以20 km/h速度发生路缘石碰撞引发的电动滑板车向前倾倒场景：采用Hybrid III型第50百分位人体测试假人（Hybrid III 50th percentile anthropomorphic test device），分别设置佩戴头盔与未佩戴头盔两种工况；路缘石与电动滑板车行驶轨迹的夹角分为垂直与55°两种。该数据集涵盖头部线加速度与角加速度、上颈部载荷（力与力矩）、胸部及骨盆加速度、胸部变形量，同时包含碰撞试验的高速录像以及碰撞前后的实拍照片。