The response of the bicycle rider's body to vertical, fore-and-aft and lateral perturbations

In bicycles the rider’s mass is much larger than the vehicle’s mass. Hence, the rider influences the dynamic behaviour of the bicycle not only by means of voluntary control actions, but also by means of passive response of his/her body to bicycle oscillations. As a matter of fact, the rider’s body has inertial, stiffness and damping properties that are combined with the bicycle characteristics and affect the dynamic response of the whole system. More specific, the stabilization of dangerous oscillatory two-wheeler modes such as weave and wobble can be significantly influenced by the rider’s properties. For these reason, it is prerequisite to identify the passive response of the rider’s body to study the dynamic behaviour of the combined bicycle-rider system. To measure the rider response an instrumented bicycle mock up fitted with strain gauges at all interfaces has been developed. The frame was designed to recreate the geometry of a hybrid bicycle and has a reach to handlebars equal to 32 cm and a stack height to handlebars equal to 75cm. The bicycle mock-up was mounted on a top of a hexapod and was excited using coloured noise perturbations in all 6 degrees of freedom (DoF). The force response of the rider body was measured at all bicycle interfaces. Two IMU's were also used to measure the transmissibility of the upper rider trunk. One IMU was placed on the base of the platform and one at the rider's sternum The repository contains the following folders and files: <strong>BSc thesis: </strong> contains the report of bachelor student Toni Prats.pdf. <strong>CAD :</strong> contains the Solidworks drawings of the bicycle mock up. <strong>Data_analysis apparent mass (APMS)</strong> and <strong>seat-to-sternum transmissibility (STST)</strong> folders includes the mat.scripts to obtain the transfer functions (TRFs). <strong>Note:</strong> The data analysis method is described at passive rider identification.docx which is inside the Data_analysis apparent mass (APMS) folder. To plot the APMS transfer functions first run "interface_forces_24subs.m" (located in Force_Data folder) to obtain the required "force_signals_SI_t1_t2", afterwards copy paste the force_signals inside the analysis folder and run "TF_5_interfaces_24_subs.m" for the selected motion <strong>Ethnical:</strong> contains the ethics and technical device inspection approval which is prerequisite from TU Delft for human factor research. <strong>Force_data:</strong> contains the rider's force responses at all bicycle interfaces. <strong>IMU_data</strong> and <strong>IMU_data_Upper trunk</strong> includes the measured translational accelerations and angular velocities of the platform and rider's upper trunk. <strong>Labview:</strong> has the software used for data login the strain-gauge signals. <strong>Pictures: </strong>contains photos of the bicycle mock-up and subjects. <strong>PVA_signals:</strong> contains mat.script to generate the applied perturbation signals. <strong>Strain gauge calibration:</strong> includes the calibration and voltage sign and locations.xlsx which contain the voltage/force equations and force sign conventions for all bicycle interfaces respectively. <strong>Subjective data:</strong> contains the NASA TLX data, mat.script. <strong>Supplementary paper material:</strong> <strong>Assymetric.xlsx</strong> contains the symmetric and asymmetric elements of the dynamic force distribution. <strong>Coorelation.jpg </strong>shows the correlation between the performance and effort scale of NASA "Raw-TLX". <strong>Schematic 1.jpg</strong> represents the trunk-pelvis system of the rider as a horizontal moving inverted pendulum, see discussion section of paper.在自行车场景中，骑行者的体重远大于车辆自身质量。因此，骑行者不仅可通过主动操控动作影响自行车的动态特性，还可通过身体对自行车振动的被动响应参与其中。事实上，骑行者身体具备惯性、刚度与阻尼特性，这些特性与自行车自身参数结合后，会影响整个系统的动态响应。更具体而言，诸如摇晃（weave）与摆振（wobble）这类危险的两轮车振动模式的稳定性，会显著受到骑行者特性的影响。因此，要研究车骑耦合系统的动态行为，识别骑行者身体的被动响应是一项前提工作。 为了测量骑行者的响应，我们开发了一款配备全接口应变片的仪表化自行车样机。该车架的设计复刻了混合动力自行车的几何结构，其车把前伸量（reach）为32厘米，车把堆叠高度（stack height）为75厘米。该自行车样机被安装在六足平台顶部，并通过全6自由度（DoF）的有色噪声扰动进行激励。我们在所有自行车接口处测量了骑行者身体的力响应。此外，还使用了两个惯性测量单元（IMU，Inertial Measurement Unit）来测量骑行者上躯干的传递特性：一个安装在平台基座上，另一个安装在骑行者的胸骨位置。 本数据集仓库包含以下文件夹与文件： <strong>BSc thesis: </strong> 包含本科生Toni Prats的毕业论文报告.pdf。 <strong>CAD :</strong> 包含自行车样机的Solidworks工程图。 <strong>Data_analysis apparent mass (APMS)</strong> 和 <strong>seat-to-sternum transmissibility (STST)</strong> 文件夹：内含用于获取传递函数（TRFs）的Matlab脚本。 <strong>Note:</strong> 数据分析方法详见Data_analysis apparent mass (APMS)文件夹内的《passive rider identification.docx》文档。若需绘制表观质量（APMS）传递函数，请先运行位于Force_Data文件夹中的"interface_forces_24subs.m"以获取所需的"force_signals_SI_t1_t2"文件，随后将该力信号复制至分析文件夹中，并针对选定的运动运行"TF_5_interfaces_24_subs.m"。 <strong>Ethnical:</strong> 包含代尔夫特理工大学（TU Delft）开展人机因子研究所需的伦理审批与设备技术检验文件。 <strong>Force_data:</strong> 包含骑行者在所有自行车接口处的力响应数据。 <strong>IMU_data</strong> 和 <strong>IMU_data_Upper trunk</strong>：分别包含平台与骑行者上躯干的实测平动加速度与角速度数据。 <strong>Labview:</strong> 包含用于采集应变片信号的LabVIEW软件。 <strong>Pictures: </strong> 包含自行车样机与实验受试者的实拍照片。 <strong>PVA_signals:</strong> 包含用于生成施加的扰动信号的Matlab脚本。 <strong>Strain gauge calibration:</strong> 包含《calibration and voltage sign and locations.xlsx》文件，其中分别记录了所有自行车接口的电压/力转换公式与力符号约定。 <strong>Subjective data:</strong> 包含NASA任务负荷指数量表（NASA TLX）数据与相关Matlab脚本。 <strong>Supplementary paper material:</strong> - <strong>Assymetric.xlsx</strong>：包含动态力分布的对称与非对称分量数据。 - <strong>Coorelation.jpg</strong>：展示了NASA"Raw-TLX"量表的绩效与努力维度间的相关性。 - <strong>Schematic 1.jpg</strong>：将骑行者躯干-骨盆系统表征为水平运动的倒立摆，详见论文的讨论部分。