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Completed

NCT Number: NCT05949723

Development of Artificial Intelligence Golf Training Simulator

The golf simulator can accurately predict the flight trajectory and landing point of the ball using high-speed moving object measurement technology, giving the user the impression that they are playing on a real golf course.

Completed

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Key information

Age range

20 year–60 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

National Taiwan University

Taipei, 100, Taiwan

About this study

The golf simulator can accurately predict the flight trajectory and landing point of the ball using high-speed moving object measurement technology, giving the user the impression that they are playing on a real golf course. This project will integrate golf simulators, swing analysis, and musculoskeletal simulation systems; digitize human movements; calculate biomechanical parameters; and assist beginners in swing learning or professional golfer training.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Healthy golf players and more than 3 years of golf experience
  • Age between 20~60 years old

Exclusion criteria

  • Musculoskeletal disease within 6 months

Treatment and study plan

Golf simulator device

Device

The golf simulator can accurately predict the flight trajectory and landing point of the ball using high-speed moving object measurement technology, giving the user the impression that they are playing on a real golf course.

Primary outcomes

  1. Kinematics data_range of motion

    Time frame: 6 months

    A motion capture system is used to measure the joint kinematics. This data is used to calculate the range of motion of each joint of the body (unit: degree) during the golf swing motion.

  2. Kinematics data_displacement of center of mass

    Time frame: 6 months

    A motion capture system is used to measure the joint kinematics. This data is used to calculate the displacement of the center of mass in space (unit: cm) during the golf swing motion.

  3. Kinetic data_mean velocity

    Time frame: 6 months

    The participants stand on the force platform. The data from the force platform is used to calculate the mean velocity of center of pressure (unit: cm/s): total excursion/total time during the golf swing motion.

  4. Kinetic data_mean distance

    Time frame: 6 months

    The participants stand on the force platform. The data from the force platform is used to calculate the mean distance of center of pressure (unit: cm): how far the sway from the center during the golf swing motion.

  5. Kinetic data_mean frequency

    Time frame: 6 months

    The participants stand on the force platform. The data from the force platform is used to calculate the mean frequency of center of pressure (unit: Hz): how vibrating of the sway during the golf swing motion.

  6. Kinetic data_95% confidence ellipse area

    Time frame: 6 months

    The participants stand on the force platform. The data from the force platform is used to calculate 95% confidence ellipse area of center of pressure (unit: cm^2): how big of the sway during the golf swing motion.

  7. Kinematics data by inertial measurement units_linear acceleration

    Time frame: 6 months

    Inertial measurement units are placed on each body segment and are used to calculate the linear acceleration (m/s²) of each body part during the golf swing motion.

  8. Kinematics data by inertial measurement units_angular velocity

    Time frame: 6 months

    Inertial measurement units are placed on each body segment and are used to calculate the angular velocity (rad/s) of each body part during the golf swing motion.

Sponsors and collaborators

Lead sponsor

National Taiwan University Hospital

Other

Registry information

Official study title

Development of Artificial Intelligence Golf Training Simulator: Integration of Inertial Sensing Device and Musculoskeletal Simulation Model for Movement Feedback System

Important dates

Study start
2023
Primary completion
2024
Study completion
2024
First posted
Jul 18, 2023
Registry last updated
Jun 27, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.