IMU-Based Foot Progression Angle Estimation Accuracy

Wearable inertial measurement units (IMUs) are used for estimating joint kinematics without motion capture equipment. Real-time estimation of the foot progression angle (FPA) with IMUs is used for portable and customized gait retraining for knee osteoarthritis by providing feedback to the patient based on whether their FPA is close to their therapeutic target angle. However, the vibrotactile feedback that users receive directly depends on the accuracy of IMU-based kinematics. Here, we present data from 30 subjects used for an investigation into the effect of kinematic tracking accuracy on an individual's ability to learn a toe-in gait with vibrotactile cues.Citation: Rokhmanova N, Pearl O, Kuchenbecker KJ, Halilaj E (2024) IMU-Based Kinematics Estimation Accuracy Affects Gait Retraining Using Vibrotactile Cues. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 10.1109/TNSRE.2024.3365204 <br/><br/>This project includes the following software/data packages: <br/> <ul> <li> <a href="https://simtk.org/frs?group_id=2801#pack_2423">IMU_and_MOCAP_data </a> : This is a zip file containing MATLAB IMU data (with a header file included) and optical motion capture + force plate data (with header files included). </li> </ul>

穿戴式惯性测量单元（IMU）被应用于无需运动捕捉设备即可估算关节运动学。基于IMU的实时估算足前进步度角（FPA）技术，旨在为膝骨关节炎患者提供便携式和个性化的步态再训练，通过向患者提供反馈，以评估其FPA是否接近治疗目标角度。然而，用户接收到的振动触觉反馈直接取决于基于IMU的运动学精度。本研究中，我们展示了30名受试者的数据，旨在探讨运动学跟踪精度对个人利用振动触觉线索学习内八字步态能力的影响。引用：Rokhmanova N, Pearl O, Kuchenbecker KJ, Halilaj E (2024) 基于IMU的运动学估算精度影响使用振动触觉线索的步态再训练。IEEE神经系统和康复工程杂志。10.1109/TNSRE.2024.3365204

本课题包含以下软件/数据包：

<ul>
<li><a href="https://simtk.org/frs?group_id=2801#pack_2423">IMU_and_MOCAP_data</a>：这是一个包含MATLAB IMU数据（附带头文件）以及光学运动捕捉和力平台数据（附带头文件）的ZIP文件。</li>
</ul>