Motor imagery performance through embodied digital twins in a virtual reality-enabled brain-computer interface environment

Lakshminarayanan, Kishor, Shah, Rakshit, Ramu, Vadivelan, Madathil, Deepa, Yao, Yifei, Wang, Inga, Brahmi, Brahim and Rahman, Mohammad Habibur (2024) Motor imagery performance through embodied digital twins in a virtual reality-enabled brain-computer interface environment. Journal of Visualized Experiments (207). ISSN 1940-087X

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This study introduces an innovative framework for neurological rehabilitation by integrating brain-computer interfaces (BCI) and virtual reality (VR) technologies with the customization of three-dimensional (3D) avatars. Traditional approaches to rehabilitation often fail to fully engage patients, primarily due to their inability to provide a deeply immersive and interactive experience. This research endeavors to fill this gap by utilizing motor imagery (MI) techniques, where participants visualize physical movements without actual execution. This method capitalizes on the brain's neural mechanisms, activating areas involved in movement execution when imagining movements, thereby facilitating the recovery process. The integration of VR's immersive capabilities with the precision of electroencephalography (EEG) to capture and interpret brain activity associated with imagined movements forms the core of this system. Digital Twins in the form of personalized 3D avatars are employed to significantly enhance the sense of immersion within the virtual environment. This heightened sense of embodiment is crucial for effective rehabilitation, aiming to bolster the connection between the patient and their virtual counterpart. By doing so, the system not only aims to improve motor imagery performance but also seeks to provide a more engaging and efficacious rehabilitation experience. Through the real-time application of BCI, the system allows for the direct translation of imagined movements into virtual actions performed by the 3D avatar, offering immediate feedback to the user. This feedback loop is essential for reinforcing the neural pathways involved in motor control and recovery. The ultimate goal of the developed system is to significantly enhance the effectiveness of motor imagery exercises by making them more interactive and responsive to the user's cognitive processes, thereby paving a new path in the field of neurological rehabilitation.

Item Type: Article
Keywords: Brain-computer interfaces (BCI) | Virtual reality (VR) technologies | 3D Avatars
Subjects: Physical, Life and Health Sciences > Computer Science
Social Sciences and humanities > Social Sciences > Social Sciences (General)
JGU School/Centre: Jindal Institute of Behavioural Sciences
Depositing User: Subhajit Bhattacharjee
Date Deposited: 15 May 2024 14:50
Last Modified: 15 May 2024 14:50
Official URL:


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