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Title:
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SUITABLE JUDGEMENT ASSISTANCE OF VISUALIZATION METHOD FOR SENSOR LOG OVERLAPPING ON DAILY VIDEO |
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Author(s):
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Takuya Ishioka, Naka Gotoda, Christian Alo, Takayuki Kunieda, Rihito Yaegashi and Toshihiro Hayashi |
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ISBN:
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978-989-8533-81-4 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2018 |
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Edition:
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Single |
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Keywords:
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Individual Training, Achievement Model, Tacit Knowledge, Status Prediction, Module Candidates |
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Type:
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Full Paper |
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First Page:
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168 |
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Last Page:
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176 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Obtaining tacit knowledge in sports skill learning is difficult. Although, coaches can give their learners easy to understand instructions to obtain the tacit knowledge. The coaches monitor, analyse and interpret learners physical movement based on the coaches experiences, then they give the instruction. In self-training without coaches, it is difficult for learners to analyse own growing status and interpret their achievement goal. We developed an Automatically Superimposed-video Creating System (ASCS) in order to support analysis and interpret the learners status and achievement level of the skill. Our system has several independent modules to create each instruction, and the learners can choose one module. We assume two achievement models to select suitable modules. Achievement models show a growing process of learners skills in time series. We conducted a survey to find out the models. We found combined growth patterns which consisted of two assumed models. It suggests a possibility of the two assumed models. In addition, the survey suggested the relationship between modules and models. |
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