18066968. FATIGUE DETECTION IN EXTENDED REALITY APPLICATIONS simplified abstract (QUALCOMM Incorporated)
Contents
FATIGUE DETECTION IN EXTENDED REALITY APPLICATIONS
Organization Name
Inventor(s)
Danlu Zhang of San Diego CA (US)
Parthiban Ellappan of Virudhunagar (IN)
Brian Momeyer of Escondido CA (US)
Jiaying Pan of San Diego CA (US)
FATIGUE DETECTION IN EXTENDED REALITY APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18066968 titled 'FATIGUE DETECTION IN EXTENDED REALITY APPLICATIONS
Simplified Explanation: The patent application describes a system and techniques for providing variable rate touch sampling for touch sensors in extended reality (XR) devices. It involves monitoring a user's activity, obtaining biometric information, determining fatigue levels, and taking actions based on this information.
- The method involves obtaining images of a user performing a movement with an XR device.
- Biometric information is collected from sensors in the XR device while the user is moving.
- Fatigue levels of the user are determined based on the images and biometric data.
- Actions are then determined based on the user's fatigue levels.
Key Features and Innovation:
- Variable rate touch sampling for touch sensors in XR devices.
- Monitoring user activity and biometric information.
- Determining fatigue levels based on collected data.
- Taking actions based on user fatigue levels.
Potential Applications: This technology can be applied in XR devices for various industries such as gaming, healthcare, fitness, and virtual reality training programs.
Problems Solved: This technology addresses the need for real-time monitoring of user fatigue levels during activities performed with XR devices.
Benefits:
- Improved user experience with XR devices.
- Enhanced safety by monitoring user fatigue levels.
- Personalized interactions based on user's physical condition.
Commercial Applications: Potential commercial applications include XR gaming systems, virtual reality fitness programs, healthcare monitoring devices, and training simulations for various industries.
Prior Art: Readers can explore prior art related to touch sampling techniques in XR devices, biometric monitoring systems, and fatigue detection technologies.
Frequently Updated Research: Stay updated on research related to touch sampling technologies, biometric monitoring advancements, and fatigue detection algorithms.
Questions about XR Technology: 1. How does variable rate touch sampling improve user interaction with XR devices? 2. What are the potential implications of using biometric data to determine user fatigue levels in XR technology?
Original Abstract Submitted
System and techniques are described herein for providing variable rate touch sampling for touch sensors. In one illustrative example, a method of monitoring activity of a person includes obtaining one or more images of a user performing a first movement during a usage instance of an extended reality (XR) device; obtaining first biometric information of the user from at least one first biometric sensor of the XR device while the user performs the first movement; determining fatigue information of the user at least in part based on the one or more images and the first biometric information of the user; and determining an action based on the fatigue information.
