Gopi, S., & Dehbozorgi, N. (2024, June), SerenePulse: A Web App Pipeline for Real-time Physiological Monitoring Using rPPG and OpenAI LLMs  Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/47963

\bibitem{asee_peer_47963}
  Gopi, S., \& Dehbozorgi, N. (2024, June), \emph{SerenePulse: A Web App Pipeline for Real-time Physiological Monitoring Using rPPG and OpenAI LLMs}
  Paper presented at 2024 ASEE Annual Conference \& Exposition, Portland, Oregon.
  https://peer.asee.org/47963

Sreekanth Gopi and Nasrin Dehbozorgi.  "SerenePulse: A Web App Pipeline for Real-time Physiological Monitoring Using rPPG and OpenAI LLMs".  2024 ASEE Annual Conference & Exposition, Portland, Oregon, 2024, June.  ASEE Conferences, 2024.  https://peer.asee.org/47963 Internet.  30 Jul, 2024

\bibitem{asee_peer_47963}
  Sreekanth Gopi and Nasrin Dehbozorgi.
  "SerenePulse: A Web App Pipeline for Real-time Physiological Monitoring Using rPPG and OpenAI LLMs".
  \emph{2024 ASEE Annual Conference \& Exposition, Portland, Oregon, 2024, June}.
  ASEE Conferences, 2024.
  https://peer.asee.org/47963 Internet.  30 Jul, 2024

@INPROCEEDINGS{asee_peer_47963
author = "Sreekanth Gopi and Nasrin Dehbozorgi"
title = "SerenePulse: A Web App Pipeline for Real-time Physiological Monitoring Using rPPG and OpenAI LLMs"
booktitle = "2024 ASEE Annual Conference \& Exposition"
year = "2024"
month = "June"
address = "Portland, Oregon"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/47963}
}

TY  - CPAPER
AB  - With 15% of working-age adults facing mental disorders and an annual loss of US$ 1 trillion in the world due to impaired productivity from depression and anxiety, the necessity for real-time emotional and physiological monitoring is paramount. As similar levels of stress and mental health disorders are found among engineering students, mental health management is imperative in engineering education. However, the high costs associated with mental health management tools, the necessity for additional gadgets, and rare usage among students pose significant barriers to widespread adoption and utilization in engineering education. In this study, we examine the integration of Remote Photoplethysmography (rPPG), a wireless stress measurement technology for real-time physiological monitoring by detecting light intensity variations on the skin. By advanced rPPG signal processing, Heart Rate Variability (HRV) metrics like  Standard Deviation of Normal-to-Normal Intervals(SDNN), Root Mean Square of Successive Differences(RMSSD), and the Low-Frequency / High-Frequency Ratio(LF/HF) are calculated to offer stress insights. Our results resulted in an accuracy of 92% as validated with the ground truth dataset. Moving forward, we aim to enhance performance and deploy an app for widespread, low-cost access to stress management and monitoring.
AU  - Sreekanth Gopi
AU  - Nasrin Dehbozorgi
CY  - Portland, Oregon
DA  - 2024/06/23
PB  - ASEE Conferences
TI  - SerenePulse: A Web App Pipeline for Real-time Physiological Monitoring Using rPPG and OpenAI LLMs
UR  - https://peer.asee.org/47963
ER  -