Musculoskeletal Model
Conditions
Brief summary
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.
Detailed description
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.
Interventions
DEVICEGolf simulator 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.
Sponsors
National Taiwan University Hospital
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
20 Years to 60 Years
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Kinematics data_range of motion | 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. |
| Kinematics data_displacement of center of mass | 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. |
| Kinetic data_mean velocity | 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. |
| Kinetic data_mean distance | 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. |
| Kinetic data_mean frequency | 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. |
| Kinetic data_95% confidence ellipse area | 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. |
| Kinematics data by inertial measurement units_linear acceleration | 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. |
| Kinematics data by inertial measurement units_angular velocity | 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. |
Countries
Taiwan
Outcome results
None listed