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  4. Real-time Sensing and NeuroFeedback for Practicing Meditation Using simultaneous EEG and Eye Tracking
 
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Real-time Sensing and NeuroFeedback for Practicing Meditation Using simultaneous EEG and Eye Tracking

Source
2022 IEEE Region 10 Symposium Tensymp 2022
Date Issued
2022-01-01
Author(s)
Pandey, Pankaj
Gupta, Pragati
Chaudhary, Shivam
Miyapuram, Krishna Prasad  
Lomas, Derek
DOI
10.1109/TENSYMP54529.2022.9864414
Abstract
Next-generation intelligent health-monitoring systems have been ushered in by mobile phones with robust computation power, affordable high-resolution cameras, and embedded wearable sensors. Wearable Electroencephalography (EEG) headset to record brain signals with simultaneous eye tracking using a mobile front camera can become a powerful tool to modulate brain activity for self-enhancement. Meditation has been proved to have great effects in neuroscientific investigations for decades. However, a naive practitioner initiates the practice with high motivation and steps down after struggling to get the feedback or follow the instructions. EEG headset and Eye-tracking technology can help beginners get real-time audio and visual feedback and encourage those who fail to continue a regular meditation session. This article proposes real-time feedback framework for generating mindful moments and trace progress while practicing. Three major components are: Learning Phase, Meditation Style Specific Feedback and Evaluation Phase. We discuss three learning moments including preparatory, disentanglement and mindful. This study facilitates the design of a neurofeedback product that can offer tailored feedback. Neurotechnological revolution enables individuals to attain better equilibrium, sustained attention, meta-cognitive awareness, decreased mind-wandering, and enhanced emotional stability through various meditation practices.
Publication link
https://repository.tudelft.nl/file/File_21d07ec5-e616-494e-946d-0414c8e053ec
URI
https://d8.irins.org/handle/IITG2025/26304
Subjects
Deep Learning | EEG | Eye Tracking | Machine Learning | Meditation | Mindfulness | Wearable Sensors
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