In this study,the effect of presentation rates on pupil dilation is investigated for target recognition in the Rapid Serial Visual Presentation(RSVP)paradigm.In this experiment,the RSVP paradigm with five different pr...In this study,the effect of presentation rates on pupil dilation is investigated for target recognition in the Rapid Serial Visual Presentation(RSVP)paradigm.In this experiment,the RSVP paradigm with five different presentation rates,including 50,80,100,150,and 200 ms,is designed.The pupillometry data of 15 subjects are collected and analyzed.The pupillometry results reveal that the peak and average amplitudes for pupil size and velocity at the 80-ms presentation rate are considerably higher than those at other presentation rates.The average amplitude of pupil acceleration at the 80-ms presentation rate is significantly higher than those at the other presentation rates.The latencies under 50-and 80-ms presentation rates are considerably lower than those of 100-,150-,and 200-ms presentation rates.Additionally,no considerable differences are observed in the peak,average amplitude,and latency of pupil size,pupil velocity,and acceleration under 100-,150-,and 200-ms presentation rates.These results reveal that with the increase in the presentation rate,pupil dilation first increases,then decreases,and later reaches saturation.The 80-ms presentation rate results in the largest point of pupil dilation.No correlation is observed between pupil dilation and recognition accuracy under the five presentation rates.展开更多
Recently,rapid serial visual presentation(RSVP),as a new event-related potential(ERP)paradigm,has become one of the most popular forms in electroencephalogram signal processing technologies.Several improvement approac...Recently,rapid serial visual presentation(RSVP),as a new event-related potential(ERP)paradigm,has become one of the most popular forms in electroencephalogram signal processing technologies.Several improvement approaches have been proposed to improve the performance of RSVP analysis.In brain-computer interface systems based on RSVP,the family of approaches that do not depend on training specific parameters is essential.The participating teams proposed several effective training-free frameworks of algorithms in the ERP competition of the BCI Controlled Robot Contest in World Robot Contest 2021.This paper discusses the effectiveness of various approaches in improving the performance of the system without requiring training and suggests how to apply these approaches in a practical system.First,appropriate preprocessing techniques will greatly improve the results.Then,the non-deep learning algorithm may be more stable than the deep learning approach.Furthermore,ensemble learning can make the model more stable and robust.展开更多
基金supported by the National Natural Science Foundation of China(Nos.61601028 and 61431007)the National Key Research and Development Program of China(No.YFB1002505)+3 种基金the Key Research and Development Program of Guangdong Province(No.2018B030339001)the Beijing Science and Technology Program(No.Z201100004420015)the National Natural Science Foundation of China(No.U2241208)the Fundamental Research Funds for the Central Universities of China(No.FRF-TP-20-017A1).
文摘In this study,the effect of presentation rates on pupil dilation is investigated for target recognition in the Rapid Serial Visual Presentation(RSVP)paradigm.In this experiment,the RSVP paradigm with five different presentation rates,including 50,80,100,150,and 200 ms,is designed.The pupillometry data of 15 subjects are collected and analyzed.The pupillometry results reveal that the peak and average amplitudes for pupil size and velocity at the 80-ms presentation rate are considerably higher than those at other presentation rates.The average amplitude of pupil acceleration at the 80-ms presentation rate is significantly higher than those at the other presentation rates.The latencies under 50-and 80-ms presentation rates are considerably lower than those of 100-,150-,and 200-ms presentation rates.Additionally,no considerable differences are observed in the peak,average amplitude,and latency of pupil size,pupil velocity,and acceleration under 100-,150-,and 200-ms presentation rates.These results reveal that with the increase in the presentation rate,pupil dilation first increases,then decreases,and later reaches saturation.The 80-ms presentation rate results in the largest point of pupil dilation.No correlation is observed between pupil dilation and recognition accuracy under the five presentation rates.
基金This research was supported by the National Key Research and Development Program of China(Grant No.2021ZD0201303)the Technology Innovation Project of Hubei Province of China(Grant No.2019AEA171)the Hubei Province Funds for Distinguished Young Scholars(Grant No.2020CFA050).
文摘Recently,rapid serial visual presentation(RSVP),as a new event-related potential(ERP)paradigm,has become one of the most popular forms in electroencephalogram signal processing technologies.Several improvement approaches have been proposed to improve the performance of RSVP analysis.In brain-computer interface systems based on RSVP,the family of approaches that do not depend on training specific parameters is essential.The participating teams proposed several effective training-free frameworks of algorithms in the ERP competition of the BCI Controlled Robot Contest in World Robot Contest 2021.This paper discusses the effectiveness of various approaches in improving the performance of the system without requiring training and suggests how to apply these approaches in a practical system.First,appropriate preprocessing techniques will greatly improve the results.Then,the non-deep learning algorithm may be more stable than the deep learning approach.Furthermore,ensemble learning can make the model more stable and robust.
