In this paper, we present a nonlinear analysis software toolkit, which can help in biomechanical gait data analysis by implementing various nonlinear statistical analysis algorithms. The toolkit is proposed to tackle the need for an easy-to-use and friendly analyzer for gait data where algorithms seem complex to implement in software and execute. With the availability of our toolkit, people without programming knowledge can run the analysis to receive human gait data analysis results. Our toolkit includes the implementation of several nonlinear analysis algorithms, while it is also possible for users with programming experience to expand its scope by implementing and adding more algorithms to the toolkit. Currently, the toolkit supports MatLab bindings while being developed in Python. The toolkit can seamlessly run as a background process to analyze hundreds of different gait data and produce analysis outcomes and figures that illustrate these results.

翻译：本文介绍一款非线性分析软件工具包，该工具通过实现多种非线性统计算法，可辅助生物力学步态数据分析。为满足步态数据算法在软件实现与执行过程中复杂度高的问题，我们开发了这款易用型友好分析工具。借助本工具包，无编程经验的用户亦可完成分析并获取人体步态数据分析结果。该工具包集成了多种非线性分析算法，同时支持具备编程经验的使用者通过自主实现和添加新算法来扩展其功能范围。当前版本工具包基于Python开发，并提供MatLab接口绑定。该工具能够以无缝后台进程方式运行，可分析数百组不同步态数据并生成分析结果与可视化图表。