18509945. SYSTEM AND METHOD FOR CLIENT-SIDE PHYSIOLOGICAL CONDITION ESTIMATIONS BASED ON A VIDEO OF AN INDIVIDUAL simplified abstract (KONINKLIJKE PHILIPS N.V.)

SYSTEM AND METHOD FOR CLIENT-SIDE PHYSIOLOGICAL CONDITION ESTIMATIONS BASED ON A VIDEO OF AN INDIVIDUAL

Organization Name

KONINKLIJKE PHILIPS N.V.

Inventor(s)

Louis Nicolas Atallah of Boston MA (US)

Josheph James Frassica of Gloucester MA (US)

Minnan Xu of Cambridge MA (US)

SYSTEM AND METHOD FOR CLIENT-SIDE PHYSIOLOGICAL CONDITION ESTIMATIONS BASED ON A VIDEO OF AN INDIVIDUAL - A simplified explanation of the abstract

This abstract first appeared for US patent application 18509945 titled 'SYSTEM AND METHOD FOR CLIENT-SIDE PHYSIOLOGICAL CONDITION ESTIMATIONS BASED ON A VIDEO OF AN INDIVIDUAL

Simplified Explanation

The present disclosure describes a system for providing client-side physiological condition estimations during a live video session. The system involves storing a neural network on a client computer system, obtaining a live video stream of an individual during a video streaming session, providing video data of the live stream as input to the neural network to obtain physiological condition information, and presenting this information at another client computer system.

• System for providing client-side physiological condition estimations during a live video session:

 - Store a neural network on a client computer system
 - Obtain a live video stream of an individual during a video streaming session
 - Provide video data of the live stream as input to the neural network
 - Present physiological condition information at another client computer system

Potential Applications

This technology could be applied in various fields such as healthcare, telemedicine, mental health monitoring, and virtual reality experiences.

Problems Solved

This system allows for real-time monitoring of an individual's physiological condition during a video session, which can be useful for healthcare professionals, mental health practitioners, and researchers.

Benefits

- Real-time physiological condition estimations - Remote monitoring capabilities - Enhanced user experience during video sessions

Potential Commercial Applications

- Telemedicine platforms - Virtual reality applications - Mental health monitoring services

Possible Prior Art

One possible prior art could be the use of wearable devices to monitor physiological conditions during video sessions. However, the innovation in this system lies in providing client-side estimations without the need for additional hardware.

Unanswered Questions

1. How accurate are the physiological condition estimations provided by the neural network? 2. What are the privacy and security measures in place to protect the data collected during the video streaming session?

Original Abstract Submitted

The present disclosure pertains to a system for providing client-side physiological condition estimations during a live video session. In some embodiments, the system includes a first client computer system that is caused to: (i) store a neural network on one or more computer-readable storage media of the first client computer system, (ii) obtain a live video stream of an individual via a camera of the first client computer system during a video streaming session between the first client computer system and a second client computer system, (iii) provide, during the video streaming session, video data of the live video stream as input to the neural network to obtain physiological condition information from the neural network, and (iv) provide, during the video streaming session, the physiological condition information for presentation at the second client computer system.