Smart Sports Outward Bound Training Assistant System Based on WSNs

Smart Sports Outward Bound Training Assistant System Based on WSNs

Jiali Zang
Copyright: © 2023 |Pages: 11
DOI: 10.4018/IJDST.317939
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Abstract

The outward-bound training has been a popular manner to exercise in daily life. However, there lacks an intelligent assistant system to monitor the real-time status of users to avoid accidents during training. In order to fill this gap, this paper established an intelligent system to monitor fatigue status during outward-bound training by using surface electromyography (sEMG) signals. The system consists of three parts: a wearable device, edge node, and cloud server. First, the wearable device collects sEMG signals. Second, the edge node processes the collected sEMG signals and sends the sEMG signal features to the cloud server. Finally, the cloud server returns the results to edge node according to a stored classification model that learnt from massive historical sEMG signals. The experimental results show the effectiveness of the proposed system.
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1. Introduction

With the development of knowledge intensive industries, the concept of high-tech research and development has been updated and the pace of work has been sped up. Brain work has greatly enhanced the intensity of competition. With the increasing pressure, contemporary persons are facing various problems. How to improve their ability to withstand various pressures and deal with different kinds of crises has become an emerging topic in the research and has the top priority (Holsti 2019). Outward bound training (Arachchige & Sathsara 2020; Warner et al.2020) takes the natural environment as the basis, adopts specially designed challenging training programs to help people to experience psychological challenges, temper their perseverance, overcome difficulties, adjust their physical and mental status, and recognize the role of the group to enhance the sense of participation and responsibility for the collective, and improve interpersonal relationships. The outward bound training is an effective way to improve the psychological quality and social adaptability by more harmoniously cooperating with the group to improve their ability of solving problems (Hodgkinson et al. 2021).

The outward bound training refers to the development of unusual and unexpected experiences and work (Seaman et al. 2020). The training refers to controlled and repeated practice as a means to teach or complete a technology or procedure. Outward bound training is a new learning and training method for modern people and organizations. It extends the basic content of walking, running, jumping, throwing, climbing, leaping, etc., which is originally limited to the school physical education classroom and highly competitive to society and nature.

In the field of outward bound training (Kirwin et al. 2019), it is to experience some new things, which are strange, challenging, different from the usual way of life, and contain certain skills. In the experience process, people may face difficulties and frustrations, and even have to deal with the abrupt crisis or real danger. By combining with the characteristics and definition of outward bound training, the connotation of outward bound training is a new training method which makes use of the natural environment and various artificial complex environments, focuses on psychological challenges to achieve the training of “stimulating potential, refining teams, changing mental models”. The outward bound training is a well-designed practice activity with development and challenge. It focuses on the educational concept of “people-oriented” and extends the social functions of sports.

With the continuous development of information technology, the emergence of computers with stronger computing power and more accurate sensors has also promoted the development of human beings. Cloud computing, big data, Internet of Things, and artificial intelligence have quickly rushed into various industries and disciplines to bring changes (Ghosh et al. 2018). At the same time, a more natural and harmonious human-computer interaction mode was also desired by the world (Shu et al. 2020). A large number of people have invested in the relevant research. Motion Sensing technology (Ahn et al. 2019), also known as somatosensory interaction technology and motion sensing control technology, is a way to directly use body movements to interact with surrounding devices or environments, and then recognize users' actions by machines to analyze the human-computer interaction technology for making corresponding feedback. The interaction mode of somatosensory technology and people also connects it with “human motion recognition” which is one of the most active research.

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