Related Experiment Video
Updated: Jun 26, 2025
06:52
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
Published on: May 26, 2020
7.9K
Advancing 100m sprint performance prediction: A machine learning approach to velocity curve modeling and performance
Chung Kit Tam1, Zai-Fu Yao1,2,3,4
1Department of Kinesiology, National Tsing Hua University, Hsinchu City, Taiwan.
Plos One
|May 13, 2024
Summary
Machine learning models offer a more accessible and accurate way to predict 100m sprint velocity-time curves, outperforming traditional methods. Higher maximum sprint velocity strongly correlates with faster overall sprint times.
Area of Science:
- Sports Science
- Biomechanics
- Data Science
Background:
- Traditional 100m sprint velocity-time models often require complex data collection.
- There is a need for more accessible and accurate modeling approaches in sprinting performance analysis.
Purpose of the Study:
- To develop and evaluate machine learning models for predicting the velocity-time curve in 100m sprinting.
- To compare the performance of machine learning models against traditional speed models.
- To investigate the relationship between key velocity parameters and overall sprint time.
Main Methods:
- Utilized international track event data (1987-2019).
- Employed Random Forest (RF) and Neural Network (NN) machine learning algorithms.
- Evaluated model accuracy using Mean Squared Error (MSE) against a traditional exponential speed model.
Main Results:
- The Neural Network (NN) model demonstrated superior predictive performance compared to the Random Forest (RF) and traditional models.
- A strong negative correlation was found between maximum sprint velocity and final 100m sprint time.
- Key parameters like time to maximum velocity and duration of the maximum speed phase were analyzed.
Conclusions:
- Machine learning provides a viable and effective alternative for modeling sprint dynamics.
- Optimizing maximum velocity is crucial for improving overall 100m sprint performance.
- This research offers valuable tools for sports scientists in training and performance analysis.
Related Concept Videos
01:34Velocity and Position by Graphical Method
7.4K
Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
7.4K
01:24Relative Motion Analysis - Velocity
357
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
357
01:11Velocity and Acceleration in Steady and Unsteady Flow
104
In fluid mechanics, velocity and acceleration are key concepts for analyzing particle motion in both steady and unsteady flow. Consider a fluid particle moving along a pathline, where its velocity depends on its position and time. The particle's acceleration is obtained by differentiating the velocity with respect to time.
The acceleration can be generalized to any point in the flow, and expressed as components along three perpendicular directions, representing changes in velocity over...
The acceleration can be generalized to any point in the flow, and expressed as components along three perpendicular directions, representing changes in velocity over...
104
01:20Velocity Potential
366
In steady, incompressible flow through a long, straight pipe with a uniform cross-section, the flow in the central region (far from the pipe walls) is irrotational. This irrotational nature means that fluid particles do not rotate around their axes, and a scalar function called the velocity potential, represented by ϕ, can be used to describe their movement. In irrotational flows, the velocity field V is defined as the gradient of the velocity potential:
366
00:51Velocity and Acceleration of a Wave
3.9K
A wave propagates through a medium with a constant speed, known as a wave velocity. It is different from the speed of the particles of the medium, which is not constant. In addition, the velocity of the medium is perpendicular to the velocity of the wave. The variable speed of the particles of the medium implies that there must be acceleration associated with it.
The velocity of the particles can be obtained by taking the partial derivative of the position equation with respect to time....
The velocity of the particles can be obtained by taking the partial derivative of the position equation with respect to time....
3.9K
01:10Relative Motion Analysis - Acceleration
349
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
349