This project leverages state-of-the-art neurotechnology to better understand and mitigate the impact of stress, anxiety, and depression. The integration of EEG data from Galea and EMOTIV HMDs will facilitate richer insights and potentially transform mental health care through personalized, real-time interventions. The goal is to develop real-time, personalized interventions for managing stress, anxiety, and depression. Leveraging neurotechnology and machine learning, the study aims to map neural activity into emotional and cognitive states, thereby facilitating responsive mental health support systems.
Mental health disorders such as stress, anxiety, and depression are among the leading causes of disability worldwide. Wearable EEG devices offer non-invasive ways to monitor brain activity in real-time, opening pathways for early detection and intervention. Galea (integrated with VR/AR) and EMOTIV (portable, research-grade EEG) present unique opportunities to capture nuanced cognitive-affective data in immersive environments. Combining these tools could provide rich datasets for understanding and managing mental states more effectively.
Expected Outcomes:
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Galea: Biosensing Headset | EEG Signal Data Analysis (Galea) | EEG Signal to map stress, anxiety, depression |
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EMOTIV Head set: brain-computer interfaces (BCIs) and electroencephalography (EEG) technology | EMOTIV Head mounted display using EEG signal to map stress and anxiety | EMOTIV HMD using EEG signal to map stress and anxiety |
EMOT IV HMD in Unity 3D | Mental Health with ConvAI and VR | AI Assistant using ConvAI |
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Publications
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