New Product Planing
LLM-Based In-Vehicle Health Monitoring System with Multimodal Biosignals
Led an independent medical project with Caltech postdocs, developing an LLM-based in-vehicle health monitoring system using 15+ biosignals, filed 1 provisional patent as sole inventor, & preparing additional patents & clinical trials.
Year :
2025
Industry :
Digital Health
Client :
Independent Project at Caltech
Project Duration :
5 month
Problem :
Current automotive monitoring sensor technologies are limited because they only track a driver’s external appearance from head to toe (Mercedes). As a result, they often fail to capture true health or physiological conditions, leading to errors.
Solution :
However, by integrating AI, advanced sensor technology, and more than 15 medical-grade biosignals, it is possible to measure the health conditions of drivers and passengers with high precision in a simple and seamless way.
This approach demonstrates strong potential not only for proactive health monitoring in vehicles but also for broader adoption through smart devices for everyday consumers.
Please understand that I cannot disclose the solution at this time, as the project is currently in the process of transitioning from a provisional patent to a utility patent.
Challenge :
While the concept has strong potential for general users and can be applied to everyday smart devices, I chose not to launch it as a startup because the technology requires additional time to reach mass production. I also recognized that its scale and complexity make it more suitable for a global company like Samsung, where resources and ecosystems can maximize its impact.
Summary :
Please understand that I cannot disclose the solution at this time, as the project is currently in the process of transitioning from a provisional patent to a utility patent.
More detail
I’ll walk you through the details during our meeting
New Product Planing
LLM-Based In-Vehicle Health Monitoring System with Multimodal Biosignals
Led an independent medical project with Caltech postdocs, developing an LLM-based in-vehicle health monitoring system using 15+ biosignals, filed 1 provisional patent as sole inventor, & preparing additional patents & clinical trials.
Year :
2025
Industry :
Digital Health
Client :
Independent Project at Caltech
Project Duration :
5 month
Problem :
Current automotive monitoring sensor technologies are limited because they only track a driver’s external appearance from head to toe (Mercedes). As a result, they often fail to capture true health or physiological conditions, leading to errors.
Solution :
However, by integrating AI, advanced sensor technology, and more than 15 medical-grade biosignals, it is possible to measure the health conditions of drivers and passengers with high precision in a simple and seamless way.
This approach demonstrates strong potential not only for proactive health monitoring in vehicles but also for broader adoption through smart devices for everyday consumers.
Please understand that I cannot disclose the solution at this time, as the project is currently in the process of transitioning from a provisional patent to a utility patent.
Challenge :
While the concept has strong potential for general users and can be applied to everyday smart devices, I chose not to launch it as a startup because the technology requires additional time to reach mass production. I also recognized that its scale and complexity make it more suitable for a global company like Samsung, where resources and ecosystems can maximize its impact.
Summary :
Please understand that I cannot disclose the solution at this time, as the project is currently in the process of transitioning from a provisional patent to a utility patent.
More detail
I’ll walk you through the details during our meeting
New Product Planing
LLM-Based In-Vehicle Health Monitoring System with Multimodal Biosignals
Led an independent medical project with Caltech postdocs, developing an LLM-based in-vehicle health monitoring system using 15+ biosignals, filed 1 provisional patent as sole inventor, & preparing additional patents & clinical trials.
Year :
2025
Industry :
Digital Health
Client :
Independent Project at Caltech
Project Duration :
5 month
Problem :
Current automotive monitoring sensor technologies are limited because they only track a driver’s external appearance from head to toe (Mercedes). As a result, they often fail to capture true health or physiological conditions, leading to errors.
Solution :
However, by integrating AI, advanced sensor technology, and more than 15 medical-grade biosignals, it is possible to measure the health conditions of drivers and passengers with high precision in a simple and seamless way.
This approach demonstrates strong potential not only for proactive health monitoring in vehicles but also for broader adoption through smart devices for everyday consumers.
Please understand that I cannot disclose the solution at this time, as the project is currently in the process of transitioning from a provisional patent to a utility patent.
Challenge :
While the concept has strong potential for general users and can be applied to everyday smart devices, I chose not to launch it as a startup because the technology requires additional time to reach mass production. I also recognized that its scale and complexity make it more suitable for a global company like Samsung, where resources and ecosystems can maximize its impact.
Summary :
Please understand that I cannot disclose the solution at this time, as the project is currently in the process of transitioning from a provisional patent to a utility patent.
More detail
I’ll walk you through the details during our meeting