ECSS Paris 2023: CP-AP05
INTRODUCTION: Due to significant inter- and intra-individual variability in response to training, individualization of training procedures is necessary. For this individualization, wearable technologies (wearables) might be supportive in some scenarios, yet it is unknown if coaches use these technologies and what factors affect usage. Based on the Technology Acceptance Model, here we aim to: i) assess the use of wearables and influencing factors of wearables usage among coaches; ii) evaluate the impact of wearables on coaching decisions related to training procedures; and iii) identify factors that could enhance the willingness to use wearables in the context of training individualization. METHODS: A quantitative online survey which was based around the “Technology Acceptance Model” was conducted among German speaking coaches (n=36, including 15 females) of different performance levels. Questions included i) respondents’ socio demographics, ii) current use of, and factors influencing current use of wearable technologies to individualize aspects of training, as well as iii) factors which influence future intention to use wearable technology to individualize training procedures iv) impact of wearables on decision making regarding training procedures. Statistical analysis included correlation analysis including Bonferroni correction RESULTS: 24 out of 36 coaches use wearables to individualize training procedures. Correlations exist between the current use of wearables with “job relevance” (0.84;p<0.005), “subjective norm” (0.57; 0.005), and “perceived usefulness” (0.49;p<0.005). Current decisions regarding training procedure only correlate with “output quality” (0.511;p<0.005), and “result demonstrability” (0.47;p<0.005). Future intention to use wearables to individualize training correlate with “perceived usefulness” (0.644;p<.005), “acquire knowledge about sensor technologies” (0.56;p<0.005), “result demonstrability” (0.53;p<0.005), and “whish for guidelines” (0.50;p<0.005). CONCLUSION: Various factors are associated with the current and future intention to use wearables, as well as their impact on coaches decisions in individualizing training procedures. Our data suggests that it is advisable i) for manufacturers to produce wearables with high output quality and clear demonstrability of results, in order to influence coaching decisions and ii) to equip coaches with comprehensive knowledge and guidelines regarding the use of wearables for the effective individualization of training procedures.
Read CV Peter DükingECSS Paris 2023: CP-AP05
INTRODUCTION: The use of sensors enables an objective and repeatable way of augmenting the training in recreational and professional sports. Sensors have been commonly used for movement recognition, skill level classification and performance evaluation for quantification rather than movement quality [1]. To identify research gaps and recommendations for future research in the field of technology-assisted human movement quality assessment, a scoping review was conducted. METHODS: The systematic database search included two subject-specific databases (PubMed, SPORTDiscus) and two multidisciplinary databases (Scopus, Web of Science), following the PRISMA-ScR [2]. Recreational and professional athletes were included independent of league, age and skill level. Professional athletes were further defined as active, employed sportspeople. The standard key information, the definitions of human movement quality, metrics and features for assessing quality, validation method, information related to data and sensor technology were excerpted. RESULTS: Eleven journal articles and five conference articles were found eligible after the full-text screening. The number of eligible articles increased between 2017 and 2021. Mostly male study participants were included (71%). Recreational athletes were recruited in 88% of the studies. Most of the studies were conducted in the ecologically similar environment of the respective sports (44%). Several studies were conducted in the ecologically valid environment (31%), the remaining percentage did not specify the environment in detail. 81% of the studies used either vision-based or inertial sensor technologies. Sport-specific qualities were investigated such as canoeing stroke quality, skiing quality, or the quality of dance. The performance of coach and trainees were compared and used, e.g., for skill level estimation. Ground truth data for the application to machine learning algorithms were either labeled by experts or collected from an expert. Impact analysis of the use of human movement quality assessment tools has not been sufficiently investigated so far. Most of the included studies did not provide a rationale for how sensor technologies were selected. CONCLUSION: The use of human movement quality assessment in sports is emerging increasingly since 2017. In the average study of this review, inertial sensor technology was used to compare quality-descriptive kinematic features with an optimal movement pattern in motion sequence-oriented recreational sports. In summary, human movement quality assessment identifies acceptable movement patterns and can be used to report deviant movements. Future research should determine how athletes and coaches could benefit from technology-assisted human movement quality assessment. Studies in ecologically valid settings are needed to determine the effects of using technology-assisted training integrating human movement quality assessment. [1] Adesida et al., Sensors, 2019 [2] Tricco et al., Ann Intern Med, 2018
Read CV Verena VenekECSS Paris 2023: CP-AP05
INTRODUCTION: Digital twins, as a new technology and paradigm, have been applied in large-scale and complex industrial scenarios. It is not just about simple modeling and data collection, but also bi-directional mapping between physical objects in the real world and twins in digital space. Its purpose is to construct a mirror of the real world in virtual space, so as to observe, control, analyze, verify, and deduce at low cost and in multiple dimensions, The physical education teaching scenario is a complex system that requires the application and development of multiple abilities such as physical fitness, skills, thinking, emotions, and intelligence. Exploring the deductive ability of digital twins in analyzing this complex system has theoretical and practical significance. METHODS: A comprehensive literature review was conducted, collecting papers and industry documents related to the application of digital twin technology in PE and other subject education. An analysis was conducted on the collected data, and a specific university badminton class was used as an example to evaluate the actual implementation ability of digital twins in PE teaching and to determine the current situation, challenges, and solutions of digital twin technology application in PE teaching. RESULTS: Digital twin technology can adapt to the real-time, dynamic, and interactive characteristics of PE teaching. It can obtain multi-scale and multi-source data through various perception methods, and construct high-precision, high-fidelity, and high-reliability teaching twin scenes. Firstly, high-precision and visual teaching process simulation. It can monitor the present, trace history, and make forward-looking predictions. The second is to improve the quality of teaching and athletic performance. Real-time multimodal data can reflect real-time changes in physical indicators, helping teachers dynamically adjust their training plans. The third is training simulation and prediction. Teachers simulate the whole process of courses in the digital twin world to evaluate the effectiveness of teaching programs and use future data to adjust plans and emergency drills in advance to improve teaching quality and reduce risks. The fourth is remote monitoring, which simulates game scenes in different environments, to improve its tactical adaptability. CONCLUSION: Digital twins can provide comprehensive simulation, prediction, and analysis of the PE teaching process from multiple perspectives, improving the efficiency and effectiveness of physical education teaching. However, we still need to address challenges such as technological maturity, data privacy protection, cost, and user acceptance. We should gradually strengthen technological innovation, user education, cost control, and effectiveness verification. By combining digital twins and other emerging technologies, we aim to improve the accessibility and fairness of PE and build an intelligent, universal, and personalized physical education environment.
Read CV li zhouECSS Paris 2023: CP-AP05