Erratum: Predicting the Quality of Spatial Learning via Virtual Global Landmarks (IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) 30 (2418-2425) DOI: 10.1109/TNSRE.2022.3199713)

التفاصيل البيبلوغرافية
العنوان: Erratum: Predicting the Quality of Spatial Learning via Virtual Global Landmarks (IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) 30 (2418-2425) DOI: 10.1109/TNSRE.2022.3199713)
المؤلفون: Liu, J, Singh, AK, Lin, CT
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2022.
سنة النشر: 2022
مصطلحات موضوعية: 0903 Biomedical Engineering, 0906 Electrical and Electronic Engineering, Biomedical Engineering
الوصف: IN THE above article [1], we detected an error in reporting the 10-fold cross-validation result. The correct 10-fold cross-validation result in Table IV is uploaded in this letter. The corrected result of the cross-validation is consistent with our findings [1] that the EEG data associated with virtual global landmark (VGL) [2], [3] stimuli from the VGL group had an overall improvement in Acc and F1 scores compared to local landmarks from the non-VGL group, where Acc and F1 scores improved averagely 14.89% and 21.77%, respectively. (Table Presented).
وصف الملف: application/pdf
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=od_______363::c8e199781685c18fc2d262a524896fab
https://hdl.handle.net/10453/166647
حقوق: OPEN
رقم الأكسشن: edsair.od.......363..c8e199781685c18fc2d262a524896fab
قاعدة البيانات: OpenAIRE