计算机应用与软件2017，Vol.34Issue(10)：223-226,4.DOI:10.3969/j.issn.1000-386x.2017.10.039
基于灰色理论的人体步态预测
HUMAN GAIT PREDICTION BASED ON GRAY THEORY
丁峰 1韩云鹏 1顾承超 1韩双玲1
作者信息
- 1. 山东大学机械工程学院高效洁净机械制造教育部重点实验室 山东济南250061
- 折叠
摘要
Abstract
Currently,most users change locations by using mouse and keyboard in virtual environment.It is essential to design a pedal walking device to improve the interaction and immersion in virtual reality.In order to synchronize the walking device and the human tread movement,a humangait prediction method is proposed based on grey theory at first.However,it is unreasonable to set the initial prediction values of the formulas as default for the traditional grey prediction method.It is essential to select the useful data according to the actual situation.Next,the improved algorithm is provided based on the grey theory.The equations are derived where the known data series are selected as the initial prediction values.The best optimal prediction model is chosen according to the prediction accuracy.The experimental result shows that the improved prediction model can obtain better prediction results.It can improve the synchronicity of the pedal walking device and the human tread movement.关键词
虚拟现实/交互性/沉浸感/灰色理论/步态预测Key words
Virtual reality/Interactivity/Immersion/Gray theory/Gait prediction分类
信息技术与安全科学引用本文复制引用
丁峰,韩云鹏,顾承超,韩双玲..基于灰色理论的人体步态预测[J].计算机应用与软件,2017,34(10):223-226,4.
