ARIZONA BOARD OF REGENTS ON BEHALF OF THE UNIVERSITY OF ARIZONA (20240257971). VIRTUAL REALITY NEUROPSYCHOLOGICAL ASSESSMENT simplified abstract
Contents
VIRTUAL REALITY NEUROPSYCHOLOGICAL ASSESSMENT
Organization Name
ARIZONA BOARD OF REGENTS ON BEHALF OF THE UNIVERSITY OF ARIZONA
Inventor(s)
William Killgore of Tucson AZ (US)
Janet Roveda of Tucson AZ (US)
Jerzy Rozenblit of Tucson AZ (US)
VIRTUAL REALITY NEUROPSYCHOLOGICAL ASSESSMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240257971 titled 'VIRTUAL REALITY NEUROPSYCHOLOGICAL ASSESSMENT
The abstract describes a virtual reality neuropsychological assessment (VRNA) system that utilizes a deep learning network and a VR headset to conduct cognitive performance assessments across multiple domains.
- The deep learning network is trained to analyze sensor data and classify users based on neuropsychological performance indicators.
- The VR headset immerses users in decision-making scenarios to capture sensor data through various sensors.
- Sensor data, such as eye-tracking, motor coordination, reaction time, memory, and inhibitory control, is used to classify users into cognitive domains like attention, memory, processing speed, and executive function.
Potential Applications: - Assessing cognitive performance in clinical settings - Monitoring cognitive decline in aging populations - Enhancing cognitive training programs for individuals with neurological disorders
Problems Solved: - Provides a more immersive and accurate assessment of cognitive function - Offers a standardized and objective method for evaluating cognitive abilities - Enables early detection of cognitive impairments
Benefits: - Personalized cognitive assessments based on individual performance data - Real-time feedback on cognitive strengths and weaknesses - Facilitates targeted interventions for cognitive improvement
Commercial Applications: Title: "Enhancing Cognitive Assessment with Virtual Reality Neuropsychological System" This technology can be used in healthcare facilities, research institutions, and educational settings to improve cognitive assessment accuracy and efficiency. It has the potential to revolutionize how cognitive performance is evaluated and managed.
Questions about VRNA: 1. How does the VRNA system compare to traditional neuropsychological assessments? The VRNA system offers a more immersive and interactive approach to cognitive assessment, providing real-time data on various cognitive domains that may not be captured in traditional assessments.
2. What are the privacy and data security considerations when using the VRNA system? Privacy and data security measures are crucial in the VRNA system to protect sensitive user information collected during assessments. Encryption, secure data storage, and user consent protocols are essential components to address these concerns.
Original Abstract Submitted
a virtual reality neuropsychological assessment (vrna) system uses a deep learning network and a vr headset to administer multi-domain assessments of human cognitive performance. the deep learning network is trained to identify features in sensor data indicative of neuropsychological performance and classify users based on the features identified in the sensor data. the vr headset provides a user with a virtual simulation of an activity involving decision-making scenarios. during the virtual simulation, sensor data via a plurality of sensors of the vr headset is captured. the sensor data is applied to the deep learning network to identify features of the user and classify the user based on the features into a neuropsychological domains, such as attention, memory, processing speed, and executive function. sensor data includes eye-tracking, hand-eye motor coordination, reaction time, working memory, learning and delayed memory, and inhibitory control.
