Combining Virtual Reality and Machine Learning to Improve ADHD Diagnostics

Description of the granted funding

The project aims to advance the search of objective markers of attention deficit hyperactivity disorder (ADHD) by utilizing recent advances in virtual reality (VR) and game technology. The rich data obtained from the VR sensors provides an opportunity to analyze complex behavioral patterns and apply machine learning methods. Our group has recently developed a VR game called EPELI (Seesjärvi et al., 2021; see also https://tinyurl.com/3ftpskft for a gameplay video), which allows measuring attention and executive function deficits in naturalistic situations. This project will further advance EPELI to make it more accurate, and sensitive in detecting complex symptom profiles of children with ADHD.
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Starting year

2023

Granted funding

Liya Merzon
12 000 €

Funder

KAUTE-säätiö

Funding instrument

Ph.D work

Other information

Funding decision number

KAUTE-säätiö_20230419

Fields of science

NATURAL SCIENCES

Keywords

machine learning, virtual reality, Attention deficit hyperactivity disorder (ADHD)

Identified topics

virtual reality, augmented reality