• Pushplata Patel
• Dr. Vijaylaxmi Biradar

The advancement of video-based measurement technologies has revolutionized the monitoring of physiological and mental health statuses, offering a non-invasive and continuous means of data collection. These systems are increasingly used to estimate and monitor various health parameters, providing significant insights into individual health conditions. This paper reviews the current state of video-based health monitoring systems, exploring their applications in areas such as heart rate, respiratory rate, blood pressure, oxygen saturation, and mental health indicators like stress, anxiety, and depression. Methodologies employed in these systems often involve sophisticated image processing techniques and machine learning algorithms to analyze video data. Significant advancements include the use of remote photoplethysmography (rPPG) for heart and respiratory rate monitoring and the integration of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for more accurate and reliable measurements. Despite these advancements, challenges such as variability in environmental conditions, population diversity, and data privacy concerns persist. Addressing these gaps is crucial for the broader adoption and reliability of these technologies. Standardizing protocols for video data capture, conducting inclusive research across diverse populations, and enhancing data security through advanced encryption and anonymization techniques are potential remedies. In conclusion, while video-based measurement technologies hold immense promise for non-invasive health monitoring, further research is needed to address existing gaps and enhance their robustness and generalizability. Future directions should focus on standardization, inclusivity, and data security to fully realize the potential of these innovative systems.

Video-based measurement, physiological monitoring, mental health, machine learning, artificial intelligence, non-invasive monitoring, health surveillance

"Video-Based Measurement for Estimating and Monitoring Physiological and Mental Status: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.h621-h627, December-2023, Available :http://www.jetir.org/papers/JETIR2312777.pdf

"Video-Based Measurement for Estimating and Monitoring Physiological and Mental Status: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. pph621-h627, December-2023, Available at : http://www.jetir.org/papers/JETIR2312777.pdf