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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoPlainText>2<sup>nd</sup> Call for Papers.<o:p></o:p></p><p class=MsoPlainText>We apologize if you receive multiple copies of this CFP.<o:p></o:p></p><p class=MsoPlainText>We appreciate your help to forward this CFPs to your friends & email lists.<o:p></o:p></p><p class=MsoPlainText>.....................................................................................<o:p></o:p></p><p class=MsoPlainText>Call for Papers for the 1st Workshop on Action Modelling for Interaction and Analysis in Smart Sports and Physical Education<o:p></o:p></p><p class=MsoPlainText>(MAIStroPE)<o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText>The workshop to be held in conjunction with the 22nd ACM International Conference on Multimodal Interaction intends to bring together the research in Machine Learning, Interactive Technology and Sports & Movement Science to propose multimodal and interactive systems which can be utilized by coaches/trainers and players during their routine training sessions to analyse performance and provide real time interactive feedback.<o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText>Performance in sports depends on training programs designed by team staff, with a regime of physical, technical, tactical and perceptual-cognitive exercises. Depending on how participants perform, exercises are adapted, or the program may be redesigned. State of the art data science methods have led to ground breaking changes. Data is collected from sources such as tracking position and motion of players in basketball, baseball & football match statistics and volleyball. It is not just limited to sports training; but can also be extended to any physical exercise based activity such as dance lessons, aerobics, yoga training etc.<o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText>There are multiple examples of using both sensor and computer vision based approaches for automatic recognition of sports action in numerous sports e.g. soccer, tennis, table tennis , hockey , basketball and rugby. However, sports trainers still rely on manual effort to collect and analyse events of interests related to intended learning focus. The workshop aims to fill the gap between the state of the art in technological development and the state of the art in sports and physical education. We aim to bring together the researchers from these areas and solicit ideas regarding, how the recent technological advances can be applied in real life sports and physical education (PE) scenarios in a multidisciplinary and user centric way and enhance the overall user experience with PE.<o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText>We invite papers for frameworks, system ideas (architecture), user studies, data sets and models, which are or have the potential to be readily applied in real life training scenarios for sports or recreational physical activities. The areas of interest include but not limited to:<o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText>Multimodal sensors.<o:p></o:p></p><p class=MsoPlainText>Machine Learning.<o:p></o:p></p><p class=MsoPlainText>Computer Vision.<o:p></o:p></p><p class=MsoPlainText>Virtual/Augmented Reality.<o:p></o:p></p><p class=MsoPlainText>Sport and Movement Science<o:p></o:p></p><p class=MsoPlainText>Rehabilitation and injury prevention<o:p></o:p></p><p class=MsoPlainText>Exertion and playful interaction<o:p></o:p></p><p class=MsoPlainText>eSports<o:p></o:p></p><p class=MsoPlainText>Sports and Physical Education and Pedagogy<o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText>Workshop Weblink: <a href="http://smart-sports-exercises.nl/maistrope/">http://smart-sports-exercises.nl/maistrope/</a><o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText>Submission Guidelines:<o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText>We invite you to submit Short papers: The maximum length is 4 pages in the two-column ACM conference format (excluding references). Accepted short papers will be presented as a short talk and will be incorporated in the companion proceedings of ICMI (more details regarding guidelines for authors).<o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText>Papers should be submitted through:<o:p></o:p></p><p class=MsoPlainText><a href="https://easychair.org/conferences/?conf=maistrope1">https://easychair.org/conferences/?conf=maistrope1</a><o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText>Important Dates:<o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText>Paper submission: 23 August 2020<o:p></o:p></p><p class=MsoPlainText>Paper notification: 7 September 2020<o:p></o:p></p><p class=MsoPlainText>Camera-ready paper submission: 23 September 2020 Presenting at main conference: October 25 or 29, 2020<o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText>For queries: contact Fahim A. Salim (<a href="mailto:f.a.salim@utwente.nl">f.a.salim@utwente.nl</a>)<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>