郑州大学学报（工学版）2025，Vol.46Issue(4)：32-39,8.DOI:10.13705/j.issn.1671-6833.2025.01.017
基于AR-SSVEP和YOLOv3的时敏目标识别方法
Time-sensitive Target Recognition Method Based on AR-SSVEP and YOLOv3
摘要
Abstract
To address the problem of target identity(ID)fluctuation during target tracking,which might affect the time-sensitive target recognition,an"detection-decision"time-sensitive target recognition method(AR-SSVEP-YOLOv3)was proposed which integrated augmented reality(AR)technology,steady state visual evoked potential(SSVEP),and YOLOv3.The target perception module obtained the front-end scene video and presented it in real-time through an AR headset.The YOLOv3 algorithm completed the detection of sensitive targets in the scene video,and the AR-SSVEP EEG processing module decoded the EEG data of the subject during ID changes to identify time-sensitive targets.The correct recognition rate of time-sensitive targets was compared and analyzed.The results showed that the average improvement was 18.8%in the recognition accuracy of AR-SSVEP-YOLOv3 time-sensitive target recognition method compared with the YOLOv3 algorithm,and the average improvement was 8.0%compared with the YOLOv3-Sort algorithm.The AR-SSVEP-YOLOv3 time-sensitive target recognition method could reduce the influence of target ID fluctuation on time-sensitive target recognition and improve the human-computer interac-tion ability and the correct recognition rate of time-sensitive targets.关键词
增强现实/人工智能/时敏目标/目标检测/稳态视觉诱发电位/目标识别Key words
augmented reality/artificial intelligence/time-sensitive target/object detection/steady state visual evoked potential/target recognition分类
医药卫生引用本文复制引用
马留洋,胡争争,栗武华..基于AR-SSVEP和YOLOv3的时敏目标识别方法[J].郑州大学学报（工学版）,2025,46(4):32-39,8.基金项目
河南省科技攻关计划项目(242102211018) （242102211018）
