A Human Motion Prediction Algorithm for Non-bindingLower Extremity Exoskeleton
文献类型：会议论文
| 作者 | Min Wang; Xinyu Wu; Duxin Liu; Can Wang; Ting Zhang; Pingan Wang |
| 出版日期 | 2015 |
| 会议名称 | IEEE International Conference on Information and Automation |
| 会议地点 | Lijiang |
| 英文摘要 | This paper introduces a novel approach to predict human motion for the Non-binding Lower Extremity Exoskeleton (NBLEX). Most of the exoskeletons must be attached to the pilot, which exists potential security problems. In order to solve these problems, the NBLEX is studied and designed to free pilots from the exoskeletons. Rather than applying Electromyography (EMG) and Ground Reaction Force (GFR) signals to predict human motion in the binding exoskeleton, the non-binding exoskeleton robot collect the Inertial Measurement Unit (IMU) signals of the pilot. Seven basic motions are studied, each motion is divided into four phases except the standing-still motion which only has one motion phase. The human motion prediction algorithm adopts Support Vector Machine (SVM) to classify human motion phases and Hidden Markov Model (HMM) to predict human motion. The experimental data demonstrate the effectiveness of the proposed algorithm. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6770]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2015 |
| 推荐引用方式 GB/T 7714 | Min Wang,Xinyu Wu,Duxin Liu,et al. A Human Motion Prediction Algorithm for Non-bindingLower Extremity Exoskeleton[C]. 见:IEEE International Conference on Information and Automation. Lijiang. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。