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Fuzzy AI Using VR for Collision Prevention

NCT03915119 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 45

Last updated 2020-02-07

No results posted yet for this study

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

Interventions

OTHER

GFT AI training

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

Sponsors & Collaborators

  • Children's Hospital Medical Center, Cincinnati

    lead OTHER

Principal Investigators

  • Adam Kiefer, PhD · Cincinanti Childrens Hospital

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
14 Years
Max Age
22 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-01-01
Primary Completion
2019-02-01
Completion
2019-09-30

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03915119 on ClinicalTrials.gov