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    Title: 內建多重感測器的智慧型可攜式卡路里消耗偵測器
    Other Titles: Intelligent portable detector of calorie consumptions by built-in multiple sensors
    Authors: 梁賢吉;Liang, Hsien-Chi
    Contributors: 淡江大學電機工程學系碩士在職專班
    李揚漢;Lee, Yang-Han
    Keywords: 計步器;加速度感測器;陀螺儀;慣性導航系統;卡路里消耗;運動型態;運動強度;健康管理;Pedometer;G sensor;Gyroscope;Inertial Measurement Unit(IMU);Calorie consumption;Exercise patterns;Exercise intensity;Health management
    Date: 2011
    Issue Date: 2011-06-16 22:09:05 (UTC+8)
    Abstract: 近年來,由於資訊化社會的快速發展,伴隨而來的卻是肥胖與慢性病人口的增加,因此人們對肥胖的問題逐漸重視。而在減重的過程中,除了飲食的控制外,更需要搭配適度的運動,但目前的市場上卻沒有一個適當可隨身攜帶並且全方位記錄運動資訊的儀器。
    本論文基於上述的需求,啟發出設計一台內建三軸加速度感測器與三軸陀螺儀等具有多重感測功能的微控制系統。而為了達成全方位的目的,可將此慣性感測模組配置於腰部,其內的感測器會自動偵測身體的動態資訊,將這些資訊透過演算後,即可得知使用者在單位時間內消耗了多少卡路里。
    研究後發現,要做到較為精確的評估卡路里消耗,必須在運動過程中得到以下資訊: 運動型態(為了套用適合的代謝當量)、運動強度(即單位時間內的運動頻率)、運動時間與體重。本研究利用加速度感測器做為運動型態的判斷是因為,加速度感測器所呈現的加速度包含了地球重力加速度與身體運動等兩股力量,而運動過程中姿勢的變化,會間接影響到重力加速度與身體動作所施加於感測器的比例,因此可利用此資訊判斷出目前的運動型態。使用陀螺儀做為運動強度偵測的目的是因為,陀螺儀在靜止狀態下,其輸出為零,且在整個運動的過程中完全不受地球重力所影響,且因其具有較佳的解析度,因此非常適合用來做為運動強度的判斷指標。
    未來若能與運動科學領域結合,將可創造出輔助人為觀察,達到全天候自我健康管理的監控儀。
    In recent years, due to the rapid development of information society, it is accompanied by the increase in obesity and chronic disease population, so people have gradually paid attention to this issue. In the weight loss process, in addition to diet control, also need moderate exercise. But in the current market, there is not portable equipment could record our sports information.
    Based on the above requirements, this thesis is trying to design a multi-function micro-control system with built in three-axis acceleration sensors and three-axis gyro sensors. In order to achieve a full range of purposes, we could put this inertial sensing module on the waist, the built-in sensor will detects the dynamic information from body automatically, After the calculation, we could know the amount of calories consumed .
    My study found that, in order to more accurately estimate the calories consumed, we must get the following information during exercise: movement patterns (to apply for the metabolic equivalent), exercise intensity (ie, the exercise frequency per unit time), exercise time and Weight. In this study, we use the acceleration sensor to estimate the movement pattern, because the acceleration sensor could present two forces included gravitational acceleration and body movement, and the changes in posture during exercise will indirectly affect the proportion imposed on the sensors by gravitational acceleration and body movement, so we can use this information to determine the type of the movement pattern. Otherwise, using a gyroscope to detect the purpose of exercise intensity is because the output of gyroscopes is zero in the stationary state, and totally not affected by gravitational acceleration. With higher resolution, we take the gyroscope as a good way to determine exercise intensity.
    In the future, if it could combine with the sports science to design an all day self-health management monitor to support external observation.
    Appears in Collections:[電機工程學系暨研究所] 學位論文

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