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3D feedback and observation for motor learning: Application to the roundoff movement in gymnastics
Institution:1. Institut de Recherche Biomédicale des Armées, 91223 Brétigny sur Orge, France;2. Univ Grenoble Alpes, LPNC, F-38000 Grenoble, France;3. CNRS, LPNC, F-38000 Grenoble, France;4. University of Fribourg, Department of Medicine, Fribourg, Switzerland;5. CNRS, TIMC-IMAG, F-38000 Grenoble, France;6. Univ Savoie Mont Blanc, LPNC, F-73000 Chambéry, France;1. Perceptual-Motor Behaviour Laboratory, Centre for Motor Control, Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON M5S 2W6, Canada;2. Department of Psychological Science, Northern Michigan University, Marquette, MI 49855, USA;1. Combat Sports Laboratory, Department of Sports, Universidade Federal de Minas Gerais, Brazil;2. Nucleus of Neurosciences of the Movement (NNeuroM), Physical Education Department, Universidade Federal de Minas Gerais, Brazil;3. Martial Arts and Combat Sports Research Group, Sport Department, School of Physical Education and Sport, University of São Paulo – Brazil; Combat Centre, Australian Institute of Sport, Australia;4. Neuroscience Laboratory, Department of Mental Health, Universidade Federal de Minas Gerais, Brazil;1. Department of Kinesiology and Nutrition Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA;2. School of Medicine, University of Nevada Las Vegas, Las Vegas, NV, USA;3. Department of Kinesiology, Indiana University Purdue University Indianapolis, Indianapolis, IN, USA;1. Department of Medical and Surgical Sciences and Biotechnologies, Sapienza, University of Rome, Italy;2. Movement Analysis LAB, Policlinico Italia, Rome, Italy;3. IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy;4. Department of Mechanical and Aerospace Engineering, Mechanical & Thermal Measurement Lab, University of Rome Sapienza, Rome, Italy;5. Pia Fondazione Panico, Tricase, Lecce, Italy;6. IRCCS Neuromed, Pozzilli, Isernia, Italy;7. Department of NESMOS, Sapienza University, Rome, Italy
Abstract:In this paper, we assessed the efficacy of different types of visual information for improving the execution of the roundoff movement in gymnastics. Specifically, two types of 3D feedback were compared to a 3D visualization only displaying the movement of the expert (observation) as well as to a more ‘traditional’ video observation. The improvement in movement execution was measured using different methods, namely subjective evaluations performed by official judges, and more ’quantitative appraisals based on time series analyses. Video demonstration providing information about the expert and 3D feedback (i.e., using 3D representation of the movement in monoscopic vision) combining information about the movement of the expert and the movement of the learner were the two types of feedback giving rise to the best improvement of movement execution, as subjectively evaluated by judges. Much less conclusive results were obtained when assessing movement execution using quantification methods based on time series analysis. Correlation analyses showed that the subjective evaluation performed by the judges can hardly be predicted/ explained by the ‘more objective’ results of time series analyses.
Keywords:Virtual reality  Self + expert modeling  Motor learning  3D feedback  Dynamic time warping  00–01  99–00
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