.png){kind=icon}
返回
Semantic image sorting method for RSVP presentation
.png){kind=icon}
PRE
AI
DOI：10.1088/1741-2552/ad4593.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Objective. The rapid serial visual presentation (RSVP) paradigm, which is based on the electroencephalogram (EEG) technology, is an effective approach for object detection. It aims to detect the event-related potentials (ERP) components evoked by target images for rapid identification. However, the object detection performance within this paradigm is affected by the visual disparity between adjacent images in a sequence. Currently, there is no objective metric to quantify this visual difference. Consequently, a reliable image sorting method is required to ensure the generation of a smooth sequence for effective presentation. Approach. In this paper, we propose a novel semantic image sorting method for sorting RSVP sequences, which aims at generating sequences that are perceptually smoother in terms of the human visual experience. Main results. We conducted a comparative analysis between our method and two existing methods for generating RSVP sequences using both qualitative and quantitative assessments. A qualitative evaluation revealed that the sequences generated by our method were smoother in subjective vision and were more effective in evoking stronger ERP components than those generated by the other two methods. Quantitatively, our method generated semantically smoother sequences than the other two methods. Furthermore, we employed four advanced approaches to classify single-trial EEG signals evoked by each of the three methods. The classification results of the EEG signals evoked by our method were superior to those of the other two methods. Significance. In summary, the results indicate that the proposed method can significantly enhance the object detection performance in RSVP-based sequences.
Keyword:
EEG
ERP
RSVP
P300
object detection
期刊
IF:
3.8
论文数:
4.0K
被引数:
1.4W
机构
引用论文
Early antiretroviral therapy for HIV-infected patients admitted to an intensive care unit (EARTH-ICU): A randomized clinical trial对入住重症监护室（ICU）的HIV感染者早期抗逆转录病毒治疗（EARTH-ICU）：一项随机临床试验.png)
PLOS ONE
OAAI
PLOS ONEIF0
OAAI分享收藏A Brain-Computer Interface (BCI) for the Detection of Mine-Like Objects in Sidescan Sonar Imagery用于在侧视声纳图像中检测类似地雷的物体的脑机接口 (BCI)OAAI
OAAI分享收藏Weeding the Nettles II: A delimitation of “Urtica dioica L.” (Urticaceae) based on morphological and molecular data, including a rehabilitation of Urtica gracilis Ait.Phytotaxa
PhytotaxaIF0
PREAI
分享收藏In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer VisionPROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
分享收藏
查看更多内容