{"id":20354,"date":"2021-01-19T10:12:15","date_gmt":"2021-01-19T09:12:15","guid":{"rendered":"https:\/\/archive.iask.hu\/?p=20354"},"modified":"2021-01-19T10:13:29","modified_gmt":"2021-01-19T09:13:29","slug":"multimodal-approach-for-kayaking-performance-analysis-and-improvement","status":"publish","type":"post","link":"https:\/\/archive.iask.hu\/en\/multimodal-approach-for-kayaking-performance-analysis-and-improvement\/","title":{"rendered":"Multimodal Approach for Kayaking Performance Analysis and Improvement"},"content":{"rendered":"<p>[vc_row][vc_column][vc_column_text]This newly published article by <strong>Gergely Erd\u0151s <\/strong>&#8211; permanent iASK research fellow &#8211; was released in <strong>International Journal of Computer Science in Sport<\/strong>, 2020\/2.<\/p>\n<p><strong>Abstract<\/strong><\/p>\n<p>Artificial Intelligence (AI) invades fields where sophisticated analytics has not been applied before. Modality refers to how something happens or is experienced. Multimodal datasets are beneficial for solving complex research problems with AI methods. Kayaking technique optimization has been challenging, as there seems to be no gold standard for effective paddling techniques since there are outstanding athletes with profoundly different physical capabilities and kayaking styles. Multimodal analysis can help find the most effective paddling techniques for training and competition based on individuals&#8217; abilities. We describe the characteristics of the output power of kayak athletes and Electromyogram (EMG) measurements collected from the most critical muscles, and the relationship between these modalities. We propose metrics (weighted arithmetic mean difference and variability of power output and stroke duration) suitable for discerning athletes based on how efficiently and correctly they perform particular training tasks. Additionally, the described methods (asymmetry, coactivation, muscle intensity-output power) help athletes and coaches in assessing their performance and compare it with others based on their EMG activities. As the next step, we will apply machine-learning approaches on the synchronized dataset we collect with the described methods to reveal desirable EMG and stroke patterns.<\/p>\n<p><strong>Keywords:<\/strong> kayaking technique analysis, kayaking performance, sports analytics, maximal intensity exercise test<\/p>\n<p>&nbsp;<\/p>\n<p>The article is available <a href=\"http:\/\/archive.iask.hu\/wp-content\/uploads\/2002\/07\/16844769-international-journal-of-computer-science-in-sport-multimodal-approach-for-kayaking-performance-analysis-and-improvement.pdf\" target=\"_blank\" rel=\"noopener\">HERE<\/a> with full text.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column]<div class=\"teammember-single\"><div class=\"photo\"><a href=\"https:\/\/archive.iask.hu\/en\/people\/erdos-gergely\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/archive.iask.hu\/wp-content\/uploads\/2002\/07\/erdos_gergely-jpg-cut_-e1517053083894-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"\" srcset=\"https:\/\/archive.iask.hu\/wp-content\/uploads\/2002\/07\/erdos_gergely-jpg-cut_-e1517053083894-150x150.jpg 150w, https:\/\/archive.iask.hu\/wp-content\/uploads\/2002\/07\/erdos_gergely-jpg-cut_-e1517053083894-300x300.jpg 300w, https:\/\/archive.iask.hu\/wp-content\/uploads\/2002\/07\/erdos_gergely-jpg-cut_-e1517053083894-400x400.jpg 400w, https:\/\/archive.iask.hu\/wp-content\/uploads\/2002\/07\/erdos_gergely-jpg-cut_-e1517053083894-200x200.jpg 200w, https:\/\/archive.iask.hu\/wp-content\/uploads\/2002\/07\/erdos_gergely-jpg-cut_-e1517053083894.jpg 579w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/a><\/div><div class=\"name\"><a href=\"https:\/\/archive.iask.hu\/en\/people\/erdos-gergely\/\">Gergely Erd\u0151s<\/a><\/div><\/div>[\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This newly published article by Gergely Erd\u0151s was released in International Journal of Computer Science in Sport, 2020\/2.<\/p>\n","protected":false},"author":209,"featured_media":20356,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[58,238,40],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v16.7 - 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