[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-291243-105":59,"doc-detail-291243-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","the-relationship-between-strength-capacity-and-motor-performance-in-the-gymnastic-handstand-a-machine-learning-study","THE RELATIONSHIP BETWEEN STRENGTH CAPACITY AND MOTOR PERFORMANCE IN THE GYMNASTIC HANDSTAND: A MACHINE LEARNING STUDY","","The study investigated how strength capacity relates to motor performance during the gymnastics handstand, testing a hypothesized positive association between strength levels and performance. Thirty-two university students (16 women, 16 men; 24.03 ± 4.74 years) were evaluated using absolute error between model (video) angles and performer angles. Four strength tests were administered: explosive force, maximal right- and left-hand grip strength, and resistance force. Machine learning with cross-validation and linear regression found a low relationship and no significant link between strength capacity and motor performance, suggesting task specificity, environment, and individual characteristics influence performance.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/the-relationship-between-strength-capacity-and-motor-performance-in-the-gymnastic-handstand-a-machine-learning-study/291243/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/the-relationship-between-strength-capacity-and-motor-performance-in-the-gymnastic-handstand-a-machine-learning-study/291243.png","ImageObject",300,407,{"name":92,"@type":93},"Ophelia","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What was the study’s main objective?","Question",{"text":112,"@type":113},"To examine the relationship between strength capacity and motor performance in gymnastics handstands using machine learning and linear regression.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was motor performance measured?",{"text":117,"@type":113},"By calculating the absolute error of the three angles produced by a model (video) and the three angles produced by the performer.",{"name":119,"@type":110,"acceptedAnswer":120},"What did the machine learning and regression results show?",{"text":121,"@type":113},"They indicated a low relationship between strength capacity and motor performance, and motor performance was not found to be related to strength capacity.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},291243,1789643859,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144,"preview_page_count":4},7971461741311,"https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826","THE RELATIONSHIP BETWEEN STRENGTH CAPACITY AND MOTOR PERFORMANCE IN THE GYMNASTIC HANDSTAND: A MACHINE LEARNING STUDY  \nNatália Fontes Alves Ambrósio¹, Guilherme Menezes Lage², Lucas Eduardo Antunes Bicalho³, Crislaine Rangel Couto³, Ivana Montandon Soares  \nAleixo², Tércio Apolinário-Souza4  \n¹ Centro Universitário Una, Brazil  \n² Universidade Federal de Minas Gerais, Belo horizonte, Brazil ³ Universidade do Estado de Minas Gerais, Brazil  \n4 Universidade Federal do Rio Grande do Sul, Brazil  \nOriginal article DOI: 10.52165/sgj.16.2.211-223  \nAbstract  \nThe present study investigated the relationship between strength capacity and motor performance in the gymnastic handstand. The hypothesis stipulated a positive relationship between motor performance and strength capacity levels. Thirty-two university students, 16 female and 16 male (24.03 ± 4.74 years of age,) participated in the study. The handstand was assessed using the absolute error of the three angles produced by the model (video) and the three angles produced by the performer. We conducted four strength tests: explosive force, maximum right-hand grip strength, maximum left-hand grip strength, and resistance force. The machine learning model was trained using 10 of the folds and cross-validated, and a linear regression test was performed using motor performance (absolute error) and strength tests (explosive force, maximum force right-hand, maximum force left-hand, and resistance force). The results showed that the machine learning model indicated a low relationship between strength capacity and motor performance. Additionally, motor performance was not found to be related to strength capacity. The results may indicate that specific capacities and the interaction offactors such as task specificity, environment, and individual characteristics influence motor performance.  \nKeywords: sport, training, motor task, motor control, motor behavior.  \nINTRODUCTION  \nThe field of sports preparation is complex, involving the selection and assessment of athletes (Malina, 1974) . In the development of these programs (Baker et al., 2012; Vaeyens et al., 2008; Mohamed et al., 2009), athletes are typically evaluated across a range of skills specific to their sport, as  \nwell as through general tests aimed at assessing capacities such as flexibility, endurance, and strength (Vaeyens et al., 2008; Mohamed et al., 2009) . However, the relationship between these specific skills and capacities, particularly in the context of  \ngymnastics handstands, remains an ongoing investigation.  \nInitial studies have adopted the perspective that capacities can predict sports success. They were grounded in a fundamental (general) capacity capable of elucidating performance across numerous skills, thus fostering success in sports (Brace, 1930; McCloy, 1934) . It implies that capacity comprises attributes intricately linked to executing various movements (Rarick, 1937; Carpenter, 1942) .  \nAlthough some studies have supported the perspective of a general capacity (Ibrahim et al., 2011; Liefeith et al., 2018; Hands, McIntyre, and Parker, 2018), other researchers have not revealed favorable results and have followed the perspective that performance may depend on the specificity of the task (Lage et al., 2017; Robin et al., 2005; Tremblay & Proteau, 1998), i.e., motor tasks can be influenced from a discrete set of capacities in a specific manner. Following this perspective, studies indicated that capacities such as coordination and agility, considered by some researchers as 'general capacities'transferable to a series of sports skills, are specific to certain motor tasks (Henry, 1968) . The general capacity perspective has raised numerous questions and should have stimulated more research that supports this view (Ibrahim et al., 2011; Hands, McIntyre, and Parker, 2018) .  \nAnother perspective highlights the complex interaction among task demands, environment, and individuals in shaping motor performance (Newe","cbCaidlbaOTXFGAE","https://ap.wps.com/l/cbCaidlbaOTXFGAE","pdf",1253999,13,"English","# Abstract\n# Introduction\n## Sports preparation and athlete assessment\n## General capacity vs. task specificity\n## Task, environment, and individual constraints in motor performance\n## Strength capacity in gymnastics handstands\n## Study objective","[{\"question\":\"What was the study’s main objective?\",\"answer\":\"To examine the relationship between strength capacity and motor performance in gymnastics handstands using machine learning and linear regression.\"},{\"question\":\"How was motor performance measured?\",\"answer\":\"By calculating the absolute error of the three angles produced by a model (video) and the three angles produced by the performer.\"},{\"question\":\"What did the machine learning and regression results show?\",\"answer\":\"They indicated a low relationship between strength capacity and motor performance, and motor performance was not found to be related to strength capacity.\"}]","THE RELATIONSHIP BETWEEN STRENGTH CAPACITY AND MOTOR PERFORMANCE IN THE GYMNASTIC HANDSTAND: A MACHINE LEARNING STUDY | PDF",33]