<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study investigates students’ engagement with sports content, employing a novel method to quantify interest levels through observable physical responses. By analyzing facial expressions and body language, specifically the muscle activities across various body parts, we derive a unique numerical value to represent the intensity of pleasure experienced by viewers in each frame. This approach involves calculating the rotational angle weights between limbs and their movements over consecutive frames, leading to a comprehensive evaluation score for the observed actions. Utilizing the Openpose platform for data analysis, we discovered a significant correlation (r=0.43) between real-time assessment scores and the “sports participation” interest dimension. Analysis of facial expressions in educational sports videos revealed “concentration” as the predominant expression, indicating high student interest. Furthermore, the study identified instances of interest fatigue within an 18-minute duration, notably between frames 32005 and 36507, with a PERCLO value of 0.46, demonstrating the method’s potential in assessing and enhancing engagement with sports education.</p>
</abstract>

This study investigates students’ engagement with sports content, employing a novel method to quantify interest levels through observable physical responses. By analyzing facial expressions and body language, specifically the muscle activities across various body parts, we derive a unique numerical value to represent the intensity of pleasure experienced by viewers in each frame. This approach involves calculating the rotational angle weights between limbs and their movements over consecutive frames, leading to a comprehensive evaluation score for the observed actions. Utilizing the Openpose platform for data analysis, we discovered a significant correlation (r=0.43) between real-time assessment scores and the “sports participation” interest dimension. Analysis of facial expressions in educational sports videos revealed “concentration” as the predominant expression, indicating high student interest. Furthermore, the study identified instances of interest fatigue within an 18-minute duration, notably between frames 32005 and 36507, with a PERCLO value of 0.46, demonstrating the method’s potential in assessing and enhancing engagement with sports education.

Research on multi-dimensional evaluation method of sports interest of college students

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This study investigates students’ engagement with sports content, employing a novel method to quantify interest levels through observable physical responses....

Research on multi-dimensional evaluation method of sports interest of college students

Data publikacji: 03 maj 2024

Zakres stron: -

Otrzymano: 10 kwi 2024

Przyjęty: 28 kwi 2024

DOI: https://doi.org/10.2478/amns-2024-0952

Słowa kluczowe
Openpose platform, Evaluation system, Interest level, Emotional dimension

© 2024 Xinbao Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on multi-dimensional evaluation method of sports interest of college students

Data publikacji: 03 maj 2024

Zakres stron: -

Otrzymano: 10 kwi 2024

Przyjęty: 28 kwi 2024

DOI: https://doi.org/10.2478/amns-2024-0952

Słowa kluczoweOpenpose platform, Evaluation system, Interest level, Emotional dimension

© 2024 Xinbao Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Openpose platform, Evaluation system, Interest level, Emotional dimension