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相关论文: Esports Training, Periodization, and Software -- a…

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Esports and high performance human-computer interaction are on the forefront of applying new hardware and software technologies in practice. Despite that, there is a paucity of research on how semi-professional and professional championship…

人机交互 · 计算机科学 2023-11-10 Andrzej Białecki , Peter Xenopoulos , Paweł Dobrowolski , Robert Białecki , Jan Gajewski

Recently, data mining studies are being successfully conducted to estimate several parameters in a variety of domains. Data mining techniques have attracted the attention of the information industry and society as a whole, due to a large…

Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This paper presents a comprehensive survey of deep learning in sports performance, focusing on…

计算机视觉与模式识别 · 计算机科学 2023-07-10 Zhonghan Zhao , Wenhao Chai , Shengyu Hao , Wenhao Hu , Guanhong Wang , Shidong Cao , Mingli Song , Jenq-Neng Hwang , Gaoang Wang

The role of AI in esports is shifting from leveraging games as a testbed for improving AI algorithms to addressing the needs of the esports players such as enhancing their gaming experience, esports skills, and providing coaching. For AI to…

人机交互 · 计算机科学 2021-03-09 Murtuza N. Shergadwala , Magy Seif El-Nasr

eSports industry has greatly progressed within the last decade in terms of audience and fund rising, broadcasting, networking and hardware. Since the number and quality of professional team has evolved too, there is a reasonable need in…

人机交互 · 计算机科学 2019-08-20 Anton Stepanov , Andrey Lange , Nikita Khromov , Alexander Korotin , Evgeny Burnaev , Andrey Somov

Historically, much research and development in human computer interaction has focused on atomic and generalizable tasks, where task completion time indicates productivity. However, the emergence of competitive games and esports reminds us…

人机交互 · 计算机科学 2025-07-09 Ben Boudaoud , Josef Spjut , Joohwan Kim , Arjun Madhusudan , Benjamin Watson

Recent developments in video analysis of sports and computer vision techniques have achieved significant improvements to enable a variety of critical operations. To provide enhanced information, such as detailed complex analysis in sports…

计算机视觉与模式识别 · 计算机科学 2022-05-02 Banoth Thulasya Naik , Mohammad Farukh Hashmi , Neeraj Dhanraj Bokde

Gamification has been used to motivate and engage participants in software engineering education and practice activities. There is a significant demand for empirical studies for the understanding of the impacts and efficacy of gamification.…

eSports is a developing multidisciplinary research area. At present, there is a lack of relevant data collected from real eSports athletes and lack of platforms which could be used for the data collection and further analysis. In this…

人机交互 · 计算机科学 2019-08-20 Alexander Korotin , Nikita Khromov , Anton Stepanov , Andrey Lange , Evgeny Burnaev , Andrey Somov

Sports recommender systems receive an increasing attention due to their potential of fostering healthy living, improving personal well-being, and increasing performances in sport. These systems support people in sports, for example, by the…

Understanding sports is crucial for the advancement of Natural Language Processing (NLP) due to its intricate and dynamic nature. Reasoning over complex sports scenarios has posed significant challenges to current NLP technologies which…

计算与语言 · 计算机科学 2024-06-24 Zhengbang Yang , Haotian Xia , Jingxi Li , Zezhi Chen , Zhuangdi Zhu , Weining Shen

Ubiquitous sensors and Internet of Things (IoT) technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post game. New methods, including machine…

Sports data analysis is becoming increasingly large-scale, diversified, and shared, but difficulty persists in rapidly accessing the most crucial information. Previous surveys have focused on the methodologies of sports video analysis from…

计算机视觉与模式识别 · 计算机科学 2017-03-06 Huang-Chia Shih

In the emerging field of esports research, there is an increasing demand for quantitative results that can be used by players, coaches and analysts to make decisions and present meaningful commentary for spectators. We present…

人机交互 · 计算机科学 2022-02-15 Josef Spjut , Ben Boudaoud , Kamran Binaee , Zander Majercik , Morgan McGuire , Joohwan Kim

Esports are a mostly sedentary activity. There is a growing need for investigation into how biomechanical and physical abilities can be optimized for esports through training. One such research avenue concerns the ability of esports players…

人机交互 · 计算机科学 2024-08-22 Andrzej Białecki , Michał Staniszewski , Robert Białecki , Jan Gajewski

The emerging progress of eSports lacks the tools for ensuring high-quality analytics and training in Pro and amateur eSports teams. We report on an Artificial Intelligence (AI) enabled solution for predicting the eSports player in-game…

人机交互 · 计算机科学 2021-08-25 Anton Smerdov , Evgeny Burnaev , Andrey Somov , Anton Stepanov

As the last years have shown a massive growth within the field of electronic sports (eSports), several questions emerge, such as how much is it growing, and will it continue to grow? This research thesis sees this as its statement of…

计算机与社会 · 计算机科学 2015-09-30 Anders Hval Olsen

Serious games are simulation software designed to assist people in learning the practical concepts of various application fields such as Health, wellness, Education and Culture. People improve their individual knowledge, skills and attitude…

人机交互 · 计算机科学 2023-06-07 Shuja Ud Din , Muhammad Zeeshan Baig , Muhammad Khateeb Khan

The evolving landscape of software development demands that software testers continuously adapt to new tools, practices, and acquire new skills. This study investigates software testing competency needs in industry, identifies knowledge…

Esports has emerged as a popular genre for players as well as spectators, supporting a global entertainment industry. Esports analytics has evolved to address the requirement for data-driven feedback, and is focused on cyber-athlete…

人工智能 · 计算机科学 2017-11-20 Victoria Hodge , Sam Devlin , Nick Sephton , Florian Block , Anders Drachen , Peter Cowling
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