Unsupervised Transfer Learning Approach With Adaptive Reweighting and Resampling Strategy for Inter-Subject EOG-Based Gaze Angle Estimation

• Published in: IEEE journal of biomedical and health informatics Vol. 28; no. 1; pp. 157 - 168
• Main Authors: Zeng, Zheng, Tao, Linkai, Su, Ruizhi, Zhu, Yunfeng, Meng, Long, Tuheti, Adili, Huang, Hao, Shu, Feng, Chen, Wei, Chen, Chen
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; Adaptation models; Adaptive learning; Adaptive reweighting; Calibration; Electrooculography; EOG; Error reduction; Estimation; individual variability; Learning; Performance degradation; Performance enhancement; Resampling; resampling strategy and transfer learning; Root-mean-square errors; Spectral analysis; Training; Transfer learning

Gaze estimation based on electrooculograms (EOGs) has been widely explored. However, the inter-subject variability of EOGs still leaves a significant challenge for practical applications. It contributes to performance degradation when handling inter-subject issues. In this paper, an unsupervised tra...