【24h】

Bci-based assistive robot arm

机译:基于Bci的辅助机器人手臂

获取原文
获取原文并翻译 | 示例

摘要

People who lost their limbs by injury or congenital missing need prosthesis to replace the missing body part to assist or enhance the motor ability or for cosmetic purpose. In this paper, brain-computer interface (BCI) technology is proposed to assist the person with disability who has no arm. The proposed system includes two BCI algorithms, i.e. ERD/ERS algorithm and hybrid EEG-EOG algorithm. The designed assistive robot arm is light weight, low power consumption, user friendly and pleasing aesthetic. The ERD/ERS algorithm can achieve the accuracy of approximately 66% with 3 commands. Moreover, the accuracy of the hybrid EEG-EOG algorithm yields nearly 96%.
机译:因受伤或先天性缺失而失去四肢的人需要假体来替换缺失的身体部位,以辅助或增强运动能力或用于美容目的。本文提出了脑机接口(BCI)技术来帮助没有手臂的残疾人。提出的系统包括两种BCI算法,即ERD / ERS算法和混合EEG-EOG算法。设计的辅助机器人手臂重量轻,功耗低,用户友好且美观。 ERD / ERS算法通过3条命令可以达到大约66%的精度。此外,混合EEG-EOG算法的准确性可产生近96%的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号