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Development of the Application to Promote Daily Physical Activities in Adolescents

Edgars Oļehnovičs1, Artūrs Laizāns1, Aija Kļaviņa2, Juris Porozovs1, Viktors Veliks1, Kārlis Freivalds1
1 University of Latvia, Latvia
2 Latvian Academy of Sport Education, Latvia

Abstract. Many people, especially adolescents, use mobile applications to control their physical activities and reduce sedentary behaviors. While a large variety of sports applications are available, detection of the activity type is a new research area. There are also specific methods how to measure and collect data or control the type of sports activities. Literature research shows that analysis of the current sports application market is evolving in a fast speed. Some authors show that neuron networks can help detect and analyze specific data of sports activities using sensors or mobile phone.
The aim of this research was three-folded: 1) to develop sports application for a simple exercise to promote physical activity in adolescents, 2) to study the abilities of artificial intelligence in a sports application context, and 3) to create an application for detecting and counting everyday physical activity.
Methodology: two applications were created, (1) for data collection, and (2) for everyday usage. Many deep learning models and their parameters were tested.
Results: application prototype to detect one simple physical activity (squats) using neuron networks was created, one neuron network model to detect and count activity squats was made. Neural network models for walking and jumping rope were created.
Conclusions: it is possible to use sports application for adolescents to promote their physical activity. The neuron network model can be used in mobile phone, while the use of this model is dependent on various factors.

Keywords: mobile application, adolescents, physical activity, deep learning, neuron networks

Author Note
This work was supported by the Latvian Council of Science under Fundamental and Applied Research grant Nr. lzp-2019/1-0152.

In: Human, Technologies and Quality of Education, 2022. Proceedings of Scientific Papers = Cilvēks, tehnoloģijas un izglītības kvalitāte, 2022. Rakstu krājums
Riga, University of Latvia, 2022. 1135 p. Ed. L. Daniela
ISBN 978-9934-18-911-1