AI Meditation App: Enhancing Mindfulness Through AI and EEG Integration

References

[1] OpenBCI Documentation, "OpenBCI Cyton and Ultracortex specifications," [Online]. Available: https://docs.openbci.com. [Accessed: Jan. 10, 2025].

[2] K. O. A. Health B. V., “Method for improving the success of immediate wellbeing interventions to achieve a desired emotional state,” U.S. Patent US2023120262A1, Apr. 20, 2023.

[3] Lighthouse Corp., “Method, device, and system for providing learning service based on brainwave and blinking eyes,” Korean Patent KR102452100B1, Oct. 12, 2022.

[4] Earkick Inc., “Detecting emotional state of a user,” International Patent WO2023075746A1, May 4, 2023.

[5] ¬¹¼Å¼tÇ$ÆÏ´Å, Depression identification and care system through voice analysis, Korean Patent KR102321520B1, Nov. 5, 2021.

[6] BrainFlow Library, "Documentation on brain signal processing and machine learning," [Online]. Available: https://brainflow.readthedocs.io. [Accessed: Jan. 10, 2025].

[7] R. N. Bracewell, Two-Dimensional Imaging (Book style). Englewood Cliffs, NJ: Prentice-Hall, 1995, pp. 1–325.

[8] B. Jahne, Practical Handbook on Image Processing for Scientific Applications (Book style). Boca Raton, FL: CRC Press, 1997, pp. 10–412.

[9] J. A. Richards, Remote Sensing Digital Image Analysis (Book style). Berlin: Springer-Verlag, 1993, pp. 5–210.

[10] J. C. Russ, The Image Processing Handbook (Book style). Boca Raton, FL: CRC Press, 1995, pp. 15–240.

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@article{1706941,
      author = {Utkarsh Singh, Anish Rao, Arti Khapard, Shray Gupta, Aanjney Gupta},
      title = {AI Meditation App: Enhancing Mindfulness Through AI and EEG Integration},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {7},
      pages = {376-381},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706941.pdf},
      abstract = {The increasing demand for mental health and well-being solutions has led to advancements in meditation technology. Traditional applications focus primarily on guided sessions without offering real-time performance monitoring or actionable insights. The proposed AI Meditation App combines Artificial Intelligence (AI) and Electroencephalogram (EEG) technologies to address these gaps. Key features include Computer Vision for monitoring attentiveness, Natural Language Processing (NLP) for assessing emotional health, and EEG for tracking mindfulness and restfulness levels. This paper provides a comprehensive overview of the app?s architecture, implementation, and performance evaluation. Results demonstrate high accuracy in eye-tracking (98%), emotional analysis (85%), and EEG-based mindfulness assessment. The AI Meditation App serves as a pioneering step towards creating proctored and insightful meditation tools for personal and corporate wellness.},
      keywords = {Electroencephalogram (EEG), Emotional Health Analysis, Mindfulness Tracking},
      month = {January},
  }