A review of automated feedback systems for learners: Classification framework, challenges and opportunities

G Deeva, D Bogdanova, E Serral, M Snoeck… - Computers & …, 2021 - Elsevier
Teacher feedback provided to learners in real-time is a crucial factor for their knowledge and
skills acquisition. However, providing real-time feedback at an individual level is often …

[PDF][PDF] Implementation of virtual reality technology for sports education and training: Systematic literature review

JS Putranto, J Heriyanto, S Achmad… - Procedia Computer …, 2023 - researchgate.net
Virtual Reality (VR) is a computer-generated environment with scenes and objects that
appear natural, immersing the user in their surroundings. Numerous Virtual Reality (VR) …

[HTML][HTML] A systematic literature review of intelligent data analysis methods for smart sport training

A Rajšp, I Fister Jr - Applied Sciences, 2020 - mdpi.com
The rapid transformation of our communities and our way of life due to modern technologies
has impacted sports as well. Artificial intelligence, computational intelligence, data mining …

[HTML][HTML] MultiSenseBadminton: Wearable Sensor–Based Biomechanical Dataset for Evaluation of Badminton Performance

M Seong, G Kim, D Yeo, Y Kang, H Yang, J DelPreto… - Scientific Data, 2024 - nature.com
The sports industry is witnessing an increasing trend of utilizing multiple synchronized
sensors for player data collection, enabling personalized training systems with multi …

[HTML][HTML] Digital twin coaching for physical activities: A survey

R Gámez Díaz, Q Yu, Y Ding, F Laamarti, A El Saddik - Sensors, 2020 - mdpi.com
Digital Twin technology has been rising in popularity thanks to the popularity of machine
learning in the last decade. As the life expectancy of people around the world is increasing …

DTCoach: your digital twin coach on the edge during COVID-19 and beyond

RG Díaz, F Laamarti, A El Saddik - IEEE Instrumentation & …, 2021 - ieeexplore.ieee.org
A Digital Twin (DT) is a digital replica of a living or non-living entity, called “real twin.” Data is
collected from the real twin and analyzed using Artificial Intelligence (AI), which …

A comparative analysis of the short-term memory of martial arts' athletes of different level of sportsmanship

V Romanenko, L Podrigalo, WJ Cynarski… - Ido Movement for …, 2020 - cejsh.icm.edu.pl
Problem. The paper presents a comparative analysis of the short-term memory of martial arts
players and involved 45 participants in the martial arts (taekwondo, karate, judo, sambo …

[HTML][HTML] Application of an artificial neural network to automate the measurement of kinematic characteristics of punches in boxing

I Khasanshin - Applied Sciences, 2021 - mdpi.com
This work aimed to study the automation of measuring the speed of punches of boxers
during shadow boxing using inertial measurement units (IMUs) based on an artificial neural …

Real-time feedback using extended reality: A current overview and further integration into sports

M Geisen, S Klatt - International Journal of Sports Science & …, 2022 - journals.sagepub.com
The learning process in humans is reinforced with feedback on actions. In sports, feedback
plays an important role in optimizing motion techniques. Athletes can learn and internalize …

Assessing human motion during exercise using machine learning: A literature review

F Frangoudes, M Matsangidou, EC Schiza… - IEEE …, 2022 - ieeexplore.ieee.org
The World Health Organization promotes healthy living through regular physical activities,
such as exercise and sports, as well as access to healthcare and rehabilitation services for …