- 學位論文
運用無線感測技術開發適用於銀髮族之體適能自動檢測與分析系統
The Development of an Automatic Physical Fitness Diagnosis and Analysis System for the Elderly Using Wireless Sensing Technologies
摘要
隨著醫療科技的進步，人們的平均壽命亦隨之增加，許多國家的人口都有逐漸邁向高齡化社會的趨勢。有鑑於高齡化的人口逐漸增加，老年人也逐漸對自身的健康與生活品質有所重視。若要評估老年人的身體健康狀況，通常需使用功能性體適能的方式從肌肉力量、肌肉耐力、心肺耐力、身體柔軟度、平衡能力、協調能力、反應時間以及身體組成這八大指標才能衡量高齡者的身體健康狀況。在傳統的銀髮族體適能檢測， 往往需以人工目測的方式來計算受測者的動作完成次數與肢體角度， 如此不僅需耗費人力資源又容易有人為誤數或誤判的情況發生。 為此，本研究欲使用無線感測技術搭配感測器應用於傳統銀髮族的體適能檢測上，透過程式設計的演算法判斷各項體適能的動作狀態，並計算完成的動作次數或肢體角度，最後再將各體適能項目的檢測結果記錄於線上資料庫以便日後檢閱歷史檢測記錄。 本研究開發之銀髮族體適能自動檢測與分析系統是配合銀髮族體適能檢測的八大參考指標， 並自行設計適用於各檢測項目的演算法與程式， 再搭配三軸加速度感測器與Wii 平衡板再透過無線感測技術將受測者的動作訊號傳回至本系統。為能接收來自前端受測者的肢體動作訊號，本研究自行設計一套適用於體適能檢測時讓手部與足部皆可方便穿戴的無線感測器裝備，使受測者在體適能檢測的過程中較不易受到穿戴式動作感測器裝備的影響而干擾檢測時的動作。透過本研究所設計的檢測系統，銀髮族除可在家看著電腦螢幕的指示自行進行體適能檢測外，亦適用於平日訓練之用。
並列摘要
In recent years, medical technology has advanced quickly and with it, the human's average lifespan has increased. Therefore, the health of the elderly has become a very important concern for many countries. The most common way to evaluate elderly health is usually the physical fitness method, which involves observing muscular strength and endurance, cardiovascular endurance, flexibility, balance, coordination, reaction time, and body composition. In traditional physical fitness tests for the elderly, artificial visual method are used to calculate the subject's number of complete action and angles of joints during the test. This not only requires human resources, but may also easily lead to errors. Therefore, this research integrates wireless sensing technologies with physical fitness testing for the elderly. The proposed system judges the motion status during the test, depending on the algorithm, and then calculates the number of complete actions and the joint angles, and the examined result will be sent to the on-line database. The proposed system is designed to examine the eight-index of physical fitness mentioned above. The system receives the motion signals from the portable accelerometer sensors and the Wii Balance Board that connect subject's four limbs. A wearable wireless-based device is also designed for the subjects so that their movements are not easily affected during the test. The developed system is useful for the elderly to self-test and self-train.