Fuzzy AI Using VR for Collision Prevention

NCT03915119 | Completed

• 1 other identifier: 2017-6006
• Study Type: interventional
• Target: 45
• Locations: 1 country
• Sites: 1

Brief Summary

The purpose of this study is to develop and test a VR training system that integrates GFT AI with virtual obstacle scenarios that, when compared to a sham-VR training system, is hypothesized to increase neuromechanical and perceptual-motor fitness, decrease collision frequency and impact forces for soccer athletes, during a single training session and also when assessed at approximately 1 week and 1 month following training.

Conditions

Injuries

Outcome Measures

Primary Outcomes (1)

• Pro-saccades test

  Pro-saccades will be tested as participants track discrete target motion that will jump randomly by 14, 16, 18, 20, 22, or 24˚ on the screen in a horizontal and vertical direction, at intervals varying pseudo randomly between 1.0 and 2.0 s. The current fixation target will be extinguished at the same time as the next peripheral target appears. The test sequence will take 30 s/trial (2 trials) and all participants will be instructed to follow the targets as quickly and accurately as possible

  10 minutes

Secondary Outcomes (2)

• Self paced saccades

  10 minutes

• Anti-saccades test

  10 minutes

Study Arms (2)

VR Obstacle group

EXPERIMENTAL

Initial Visit: navigates a cluttered array of fixed and moving virtual obstacles to reach a way-point (goal) as fast and efficiently (avoiding obstacles) as possible. In each block, task difficulty (i.e., complexity) will increase linearly, regardless of success or failure (≥ 1 collision before reaching the goal). Second (Training) Visit (randomized into two groups):

Other: GFT AI training

Agility Group

EXPERIMENTAL

Initial Visit: Completes a soccer ball dribbling agility task in which they must dribble a soccer ball toward an artificial way-point, while avoiding artificial obstacles overlaid onto the real world via a Microsoft Hololens augmented reality display. Second (Training) Visit

Other: GFT AI training

Interventions

GFT AI training OTHER

navigates a cluttered environment of stationary and moving/pursuing virtual obstacles to reach a way-point as quickly and efficiently as possible. Block order and difficulty, as well as the behavior of the obstacles in each block, will be driven by the AI and statistically weighted to specifically target the perceptual-motor and neuromechanical mechanisms based on each athlete's visit 1 performance

Agility Group; VR Obstacle group

Eligibility Criteria

• Age: 14 Years - 22 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64)

You may qualify if:

• healthy
• varsity high school or collegiate soccer athlete

You may not qualify if:

• unable to participate in soccer
• history of congenital or acquired cognitive, ophthalmologic, or neurological disorders including developmental delay, brain tumor, stroke, or known peripheral or central vestibular disorders
• patients who have begun anti-depressant, stimulant or anti-seizure medications for treatment of their symptoms or for other, unrelated reasons within two months of testing will be excluded from testing

Sponsors & Collaborators

• Children's Hospital Medical Center, Cincinnati: lead

Study Sites (1)

Cincinanti Childrens Hospital Medical Center

Cincinnati, Ohio, 45229, United States

Location

MeSH Terms

Conditions

Wounds and Injuries

Study Officials

• Adam Kiefer, PhD

  Cincinanti Childrens Hospital

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: October 30, 2018
• First Posted: April 16, 2019
• Study Start: January 1, 2018
• Primary Completion: February 1, 2019
• Study Completion: September 30, 2019
• Last Updated: February 7, 2020

Record last verified: 2020-02

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)