Real-time Sensing and NeuroFeedback for Practicing Meditation Using simultaneous EEG and Eye Tracking
Pankaj Pandey (Indian Institute of Technology Gandhinagar)
Pragati Gupta (National Forensic Sciences University, Gandhinagar)
S. Chaudhary (Indian Institute of Technology Gandhinagar)
Krishna Prasad Miyapuram (Indian Institute of Technology Gandhinagar)
Derek Lomas (TU Delft - Form and Experience)
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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.