IMU Data for different Motorcyclist Behaviour

The data sets were collected during motorcycle trips near Vienna in 2021 and 2022. The behavior was split into different classes using videos (not part of the published data due to privacy concerns) and then cut into segments of 10 seconds. Context and methodology The data set was collected to show how accurate motorcyclist behavior can be assessed using IMU data The work follows the ideas published in http://hdl.handle.net/20.500.12708/43982 The authors have a background in geodesy and computer science respectively and work in the field of geoinformation / navigation Technical details The data are stored as CSV files Each file contains data from a unique behavior and has a length of 10 seconds Each file has a header describing the columns Units for acceleration are meters per squared second, units for angles are degrees The files are names AB_Daten_D_C.csv D: Datum of the trip (as YYYY_MM_DD) A: Behavior (cruise, fun, overtake, traffic, or wait) B: Number of the occurrence of this behavior during the trip C: Number of the segment within the occurrence The files are grouped by folders named after the corresponding behavior The IMU used to collect the data was a XSENS MTi本数据集采集于2021年与2022年维也纳周边的摩托车骑行活动中。骑行行为先通过视频标注划分至不同类别（因隐私保护要求，视频未纳入公开数据集），随后被切分为10秒时长的片段。 数据集背景与研究方法：本数据集旨在验证利用惯性测量单元（Inertial Measurement Unit, IMU）数据评估摩托车骑手行为的准确性。本研究沿用了http://hdl.handle.net/20.500.12708/43982中公开的研究思路。两位作者分别具备大地测量学与计算机科学背景，研究方向为地理信息与导航领域。 技术细节：本数据集以逗号分隔值（Comma-Separated Values, CSV）格式存储。每个文件对应唯一的骑行行为类别，单文件时长均为10秒，文件首行包含列名说明。加速度单位为米每二次方秒，角度单位为度。 文件命名格式为AB_Daten_D_C.csv，其中：D为骑行日期（格式为YYYY_MM_DD）；A为行为类别，涵盖巡航（cruise）、休闲骑行（fun）、超车（overtake）、交通行驶（traffic）与等待（wait）；B为本次骑行中该类行为的出现序号；C为该次行为内的片段序号。 数据集按对应行为类别命名的文件夹进行分组存储。采集本数据所用的惯性测量单元为XSENS MTi。

搜集汇总

背景与挑战

背景概述

该数据集包含2021-2022年在维也纳附近收集的摩托车手IMU数据，用于分析不同行为（如巡航、超车等），数据以10秒CSV片段存储，包含加速度和角度信息，旨在评估IMU在行为识别中的准确性。