Predicting the Quality of Spatial Learning via Virtual Global Landmarks

Lu, Jia; Singh, Avinash Kumar; Lin, Chin‐Teng

doi:10.1109/tnsre.2022.3199713

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Current Applications Status Of Bci-vr In MCI Diagnosis and T...1

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2024

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Cited by 3 publications

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“…Research on diagnostic and therapeutic approaches for spatial orientation impairments has shown that targeted VR games integrated with BCI technology can assess and enhance patients' spatial cognition. For instance, simulations of supermarkets (Zygouris et al, 2017 ), hospital environments (Jiang and Li, 2007 ), and road navigation systems (Liu et al, 2022 ) provide real-time neural feedback, adapting interventions to individual needs.…”

Section: Current Applications Status Of Bci-vr In MCI Diagnosis and T...mentioning

confidence: 99%

ChatGPT and BCI-VR: a new integrated diagnostic and therapeutic perspective for the accurate diagnosis and personalized treatment of mild cognitive impairment

Yao,

Hasan,

Jiao

et al. 2024

Front. Hum. Neurosci.

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Section: Current Applications Status Of Bci-vr In MCI Diagnosis and T...mentioning

confidence: 99%

ChatGPT and BCI-VR: a new integrated diagnostic and therapeutic perspective for the accurate diagnosis and personalized treatment of mild cognitive impairment

Yao,

Hasan,

Jiao

et al. 2024

Front. Hum. Neurosci.

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Virtual/Augmented/Mixed Reality Technologies for Enabling Metaverse

Yuan Zhu,

Lin

2023

Metaverse Communication and Computing Networks

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Corrections to “Predicting the Quality of Spatial Learning via Virtual Global Landmarks”

Liu

Singh

Lin

2022

IEEE Trans. Neural Syst. Rehabil. Eng.

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I N 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.

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Predicting the Quality of Spatial Learning via Virtual Global Landmarks

Cited by 3 publications

References 60 publications

ChatGPT and BCI-VR: a new integrated diagnostic and therapeutic perspective for the accurate diagnosis and personalized treatment of mild cognitive impairment

ChatGPT and BCI-VR: a new integrated diagnostic and therapeutic perspective for the accurate diagnosis and personalized treatment of mild cognitive impairment

Virtual/Augmented/Mixed Reality Technologies for Enabling Metaverse

Corrections to “Predicting the Quality of Spatial Learning via Virtual Global Landmarks”

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