Smart Cabin Application - Driver Health Monitoring System based on ML

Gowrishankar S, Jyothi A P

Abstract: To avoid Road accidents caused due to medical emergency conditions, Proposing on Smart cabin application using Machine Learning. Introducing safety feature into Automotive vehicles to avoid Road accidents caused due to medical emergency conditions. Using ML (Machine Learning) to monitor health status of driver and provide audio/voice announcement warning in case of health issues identified. Health issues can be identified are Cardiac issue Identification and Corona symptoms Identification. Design, Implement, Simulation and Testing the Automotive Safety feature with respect to Health monitoring system in Cabin during Driving. Design to collect the Drivers Data & Develop/Utilize Machine Learning Algorithms to monitor health status of driver and predict Health issues using the past Driver Training dataset. Implement audio/voice announcement warnings in case of health issues identified. Integration of Developed solution and testing.

Keywords: Sensors, Adaptive Autosar, Machine learning, RCar-H3e, Raspberry Pi, Android, QUALCOMM 8295

How to Cite?: Gowrishankar S, Jyothi A P, "Smart Cabin Application - Driver Health Monitoring System based on ML", Volume 12 Issue 8, August 2023, International Journal of Science and Research (IJSR), Pages: 1256-1262, https://www.ijsr.net/getabstract.php?paperid=SR23813120332, DOI: https://dx.doi.org/10.21275/SR23813120332