Research on Optimization Modeling Method for Eye Tracking in Solfeggio Cognitive Simulation

Authors

• Kun Zhang, School of Electrical and Automation, Nantong University, Nantong 226019, China
• Jiajie Qian, School of Electrical and Automation, Nantong University, Nantong 226019, China
• Shuhong Ma, Chinese Institute of Electronics, Beijing 100036, China
• Zengxu Zhao, Chinese Institute of Electronics, Beijing 100036, China
• Yuchen Pan, School of Electrical and Automation, Nantong University, Nantong 226019, China
• Yaoqi Tang, School of Art, Nantong University, Nantong 226019, China

Abstract

To address the fixation offset problem caused by head movement in music solfeggio teaching simulation and the lack of system-level simulation validation in existing methods, this paper proposed a fixation accuracy optimization method integrating image semantic understanding, temporal trajectory modeling, and solfeggio cognitive simulation. With Vision Transformer as the core, after preprocessing via Mahalanobis distance, sliding window, and region of interest, position offset perception, offset residual regression, and dual-pathway fusion were introduced to achieve offset modeling and correction under unlabeled conditions. Simulation results indicate that the error of this method decreases by 43.9% compared with the original value error; removing any module significantly increases the average Euclidean distance, with a maximum increase of 48.6%; in cross-dataset experiments, the correction rates across different datasets remain at around 40%; the offset error is reduced by 36.6%~40.9% on average in different task scenarios. This method improves the reliability of eye tracking data and provides technical support for solfeggio cognitive assessment and human-computer interaction simulation systems.

Recommended Citation

Zhang, Kun; Qian, Jiajie; Ma, Shuhong; Zhao, Zengxu; Pan, Yuchen; and Tang, Yaoqi (2026) "Research on Optimization Modeling Method for Eye Tracking in Solfeggio Cognitive Simulation," Journal of System Simulation: Vol. 38: Iss. 6, Article 20.
DOI: 10.16182/j.issn1004731x.joss.25-1237
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss6/20

First Page

1749

Last Page

1760

CLC

TP391.7

Recommended Citation

Zhang Kun, Qian Jiajie, Ma Shuhong, et al. Research on Optimization Modeling Method for Eye Tracking in Solfeggio Cognitive Simulation[J]. Journal of System Simulation, 2026, 38(6): 1749-1760.

Corresponding Author

Tang Yaoqi

DOI

10.16182/j.issn1004731x.joss.25-1237