Fuzzy AI Using VR for Collision Prevention

NCT ID: NCT03915119

Last Updated: 2020-02-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

45 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-01-01

Study Completion Date

2019-09-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Player collisions cause over 70% of concussion injuries in contact sports, in addition to 50% of lower extremity injuries and 40% of catastrophic knee ligament injuries. The majority of these collisions are unanticipated, and associated with reduced neuromechanical and perceptual-motor fitness underlying an athlete's adaptability to on-field conditions. Thus, training collision anticipation necessitates a method that taps into neuromechanical and perceptual-motor fitness. Virtual reality (VR) is a tool that can target these mechanisms, while providing a safe, well-controlled environment for assessment and training. The current proposal innovates on VR with the integration of genetic fuzzy tree (GFT) artificial intelligence (AI) to drive scenario configuration designed to target modifiable mechanisms and tailored to the individual athlete's performance capabilities, for the optimization of behavior modification and skill transfer. The current study will examine test a GFT AI-driven VR collision anticipation training compared to a sham-VR training system in healthy soccer athletes.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Injuries

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

VR Obstacle group

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):

Group Type EXPERIMENTAL

GFT AI training

Intervention Type 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

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

Group Type EXPERIMENTAL

GFT AI training

Intervention Type 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

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

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

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* healthy
* varsity high school or collegiate soccer athlete

Exclusion Criteria

* 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
Minimum Eligible Age

14 Years

Maximum Eligible Age

22 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Children's Hospital Medical Center, Cincinnati

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Adam Kiefer, PhD

Role: PRINCIPAL_INVESTIGATOR

Cincinanti Childrens Hospital

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Cincinanti Childrens Hospital Medical Center

Cincinnati, Ohio, United States

Site Status

Countries

Review the countries where the study has at least one active or historical site.

United States

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

2017-6006

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Attention Intervention Management
NCT01779427 WITHDRAWN NA