An ANN Based Approach for Gait Prediction of a Lower-limb Exoskeleton with Plantar Pressure Sensors
文献类型：会议论文
| 作者 | Yuzhang Liu; Can Wang; Duan Zheng; Gang Wang; Xinyu Wu |
| 出版日期 | 2013 |
| 会议名称 | 6th International Conference on Intelligent Robotics and Applications, ICIRA 2013 |
| 会议地点 | Busan, Korea, Republic of |
| 英文摘要 | This paper proposes an approach based on Artificial Neural Network (ANN) method for gait prediction of a lower-limb exoskeleton equipped with plantar pressure sensors and a pair of crutches. This approach can be implemented to predict the exact moment to change gait motion status. Further, the proposed approach can help to decide the starting movement speed of the pilot, through predictions on angular velocities of joints of both knees and hips. In this way, the exoskeleton can cope better with the pilot. Experimental results show that the new approach can capture the starting point of a new move, as well as predict the starting movement speed based on inputs from pressure sensors installed under pilot’s plantar and crutches. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4591]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Yuzhang Liu,Can Wang,Duan Zheng,et al. An ANN Based Approach for Gait Prediction of a Lower-limb Exoskeleton with Plantar Pressure Sensors[C]. 见:6th International Conference on Intelligent Robotics and Applications, ICIRA 2013. Busan, Korea, Republic of. |
入库方式： OAI收割
来源：深圳先进技术研究院
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