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)
- Publisher:
- Institute of Electrical and Electronics Engineers (IEEE)
- Publication Type:
- Journal Article
- Citation:
- IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30, pp. 2971
- Issue Date:
- 2022-01-01
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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).
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