Xiang Qian, Guo Shijie, Wang Jiaxin, Hashimoto Kazunobu, Liu Yong, Liu Lei
Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Equipment and Detection Technologies, Hebei University of Technology, Tianjin 300401, China.
The Hebei Key Laboratory of Robot Sensing and Human-Robot Interaction, Hebei University of Technology, Tianjin 300401, China.
Bioengineering (Basel). 2023 Nov 22;10(12):1344. doi: 10.3390/bioengineering10121344.
Gait models are important for the design and control of lower limb exoskeletons. The inverted pendulum model has advantages in simplicity and computational efficiency, but it also has the limitations of oversimplification and lack of realism. This paper proposes a two-degrees-of-freedom (DOF) inverted pendulum walking model by considering the knee joints for describing the characteristics of human gait. A new parameter, roll factor, is defined to express foot function in the model, and the relationships between the roll factor and gait parameters are investigated. Experiments were conducted to verify the model by testing seven healthy adults at different walking speeds. The results demonstrate that the roll factor has a strong relationship with other gait kinematics parameters, so it can be used as a simple parameter for expressing gait kinematics. In addition, the roll factor can be used to identify walking styles with high accuracy, including small broken step walking at 99.57%, inefficient walking at 98.14%, and normal walking at 99.43%.
步态模型对于下肢外骨骼的设计和控制至关重要。倒立摆模型在简单性和计算效率方面具有优势,但也存在过度简化和缺乏现实性的局限性。本文通过考虑膝关节提出了一种两自由度(DOF)倒立摆行走模型,用于描述人类步态特征。定义了一个新参数——滚动因子,以在模型中表达足部功能,并研究了滚动因子与步态参数之间的关系。通过测试七名健康成年人在不同步行速度下的情况进行实验以验证该模型。结果表明,滚动因子与其他步态运动学参数有很强的关系,因此它可以用作表达步态运动学的一个简单参数。此外,滚动因子可用于高精度识别行走方式,包括小碎步行走的识别准确率为99.57%,低效行走的识别准确率为98.14%,正常行走的识别准确率为99.43%。