The Effect of Walking Incline and Speed on Human Leg Kinematics, Kinetics, and EMG

This dataset contains leg joint kinematics, kinetics, and EMG activity from an experimental protocol approved by the Institutional Review Board at the University of Texas at Dallas. Ten able-bodied subjects walked at steady speeds and inclines on a Bertec instrumented treadmill for one minute per trial. Each subject walked at every combination of the speeds 0.8 m/s, 1.0 m/s, and 1.2 m/s and inclines from -10 degrees to +10 degrees at 2.5 degree increments, for a total of 27 trials. During each trial, a 10-camera Vicon motion capture system recorded leg kinematics, while force plates in the Bertec treadmill recorded ground reaction forces, and a Delsys Trigno EMG system recorded muscle activation of the rectus femoris, biceps femoris, tibialis anterior, and gastrocnemius. This data can be used to test many hypotheses and models of human locomotion at varying speeds and inclines. This kinematic data has been used to train a predictive model that represents gait kinematics as a continuous function of gait cycle percentage, speed, and incline: Citation:K. Embry, D. Villarreal, R. Macaluso, and R. Gregg, “Modeling the Kinematics of Human Locomotion over Continuously Varying Speeds and Inclines,” IEEE Transactions on Neural Systems and Rehabilitation Engineering

本数据集收录了由德克萨斯大学达拉斯分校机构审查委员会批准的实验方案中获得的腿部关节运动学、动力学以及表面肌电图（EMG）活动数据。十名健康受试者在Bertec测量式跑台上以恒定速度和倾斜度行走，每次试验持续一分钟。每位受试者分别以0.8米/秒、1.0米/秒和1.2米/秒的速度以及从-10度到+10度的倾斜度（每次增加2.5度）进行组合行走，共计进行27次试验。在每次试验中，由10个相机的Vicon运动捕捉系统记录腿部运动学数据，而Bertec跑台上的力板记录地面对身体的反作用力，Delsys Trigno EMG系统则记录股四头肌、股二头肌、胫骨前肌和比目鱼肌的肌肉激活情况。该数据可用于测试多种关于不同速度和倾斜度下人类运动学假设和模型。该运动学数据已被用于训练一个预测模型，该模型将步态运动学表示为步态周期百分比、速度和倾斜度的连续函数：文献引用：K. Embry, D. Villarreal, R. Macaluso, and R. Gregg, “在连续变化的速度和倾斜度下建模人类运动学”，IEEE神经系统和康复工程Transactions。