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| 題 名 | 應用集群分析法進行大學生自主運動表現型態之研究=A Study on College Students' Voluntary Exercise Performance Patterns Using Cluster Analysis Method |
|---|---|
| 作 者 | 楊珮菁; 邱毓賢; 莊濱鴻; 許家得; 陳以德; 莊宜達; | 書刊名 | 運動表現期刊 |
| 卷 期 | 12:2 2025.09[民114.09] |
| 頁 次 | 頁315-328 |
| 分類號 | 528.923 |
| 關鍵詞 | 體育教學; 資料探勘; 集群分析法; 運動表現; Physical education; Data mining; Clustering analysis; Exercise performance; |
| 語 文 | 中文(Chinese) |
| DOI | 10.53106/240996512025091202004 |
| 中文摘要 | 目的:本研究透過大學生使用運動手環參與自主運動目標百日百K任務時之數據,探討試驗期間自主運動之不同表現型態。方法:本研究招募110學年高雄醫學大學自願參加者於試驗期間配戴運動手環用以追蹤運動狀況。資料經篩選後總計723筆運動資料,並且利用集群分析法K-Means進行資料分析。結果:集群分析結果其跑步型態分為4群:(1)輕鬆跑:跑步方式屬於自由且輕鬆的方式,並且以緩慢的速度與步頻進行低強度的跑步,呈現最低的平均心率;(2)急速向前衝:以快速衝刺的運動方式,但也快速地感受到超出自我運動負荷,迫使受試者馬上終止運動,其運動持續時間與熱量消耗相對較低;(3)推動自我向前:循序漸進地往前邁進,以達到目標與(4)有效運動:該行為模式可看出受試者展現其對於運動成效的高度關注,並且具備穩定的配速,使得跑步時間能夠長時間維持在相對穩定的範圍內。結論:透過可連續性記錄與追蹤運動狀況之穿戴式裝置可得自主運動目標百日百K之運動歷程趨勢圖,透過結果探討其運動行為表現變化。本研究結果可提供學校計畫課程與健康促進活動設計規劃之參考,使參與者能達到更佳的自主運動表現。 |
| 英文摘要 | Purposes: This study utilized the data from college students who wear exercise bracelets to participate in the 100-day 100K task of voluntary exercise to analysis the different types of voluntary exercise during the experiment. Methods: Participants in the study were voluntary students from Kaohsiung Medical University during the 110th academic year. They wore exercise bracelets to record their physical activity. After filtering the data, a total of 723 samples of sports data were obtained and analyzed using the K-Means clustering method. Results: The patterns were divided into four clusters using K-means analysis of exercise performance. The first cluster belonged to the relaxed and comfortable type: participants in this group adopted a free and relaxed running style and engaged in jogging in a pleasant mood. Therefore, this group exhibited the lowest average heart rate among the cluster results. The second cluster belonged to the burst type, characterized by fast sprinting but quickly experiencing a level of exercise beyond their capacity, leading to the immediate termination of exercise. Therefore, this group had relatively lowest exercise duration and calorie expenditure per session. The third cluster was self-driven: encouraging and gradually progressing toward the goals. The fourth cluster belonged to the effective exercise type: participants focused on exercise performance and maintained a stable pace, allowing them to sustain their running time for a more extended period within a stable cadence. Conclusions: By utilizing wearable devices that continuously record and track physical activity, we can obtain a trend chart of the exercise history of voluntary exercise targets for 100 days and 100K and use the results to explore changes in exercise behavior. The results of this study can provide a reference for the design and planning of school curricula and health promotion activities so that participants can achieve better voluntary exercise performance. |
本系統中英文摘要資訊取自各篇刊載內容。