TWI695707B - Method for assessing exercise intensity assisted by using accelerometer - Google Patents
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- 230000036760 body temperature Effects 0.000 claims description 10
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Abstract
Description
本發明是有關於一種評估方法,特別是一種使用加速度計輔助評估運動強度的方法。The invention relates to an evaluation method, in particular to a method for assisting in evaluating exercise intensity using an accelerometer.
隨著社會風氣演變,民眾開始注重生活品質,以及尋求紓解生活壓力的管道,因而帶動各種休閒活動的興盛,也因此有越來越多的人花時間投入其中,尤其是健走、跑步等有氧耐力運動,其不需要昂貴的運動裝備或是特定的運動場所,更不需要特殊的運動技巧,因此可以在任何地方、任何時間進行,再者,活動過程中不僅可以呼吸新鮮空氣,以及享受戶外風景,同時運動期間可以根據身體狀況調整速度,並藉由運用不同速度節奏的配合,藉以訓練呼吸和耐力,以及運動到身體不同部位的肌肉,進而達到提升肌肉量,以及消耗更多卡路里等功效,因此備受各年齡層所喜愛。As the social atmosphere evolves, people begin to pay attention to the quality of life and seek to relieve the pressure of life, which leads to the prosperity of various leisure activities. Therefore, more and more people spend their time on it, especially walking, running, etc. Aerobic endurance sports do not require expensive sports equipment or specific sports venues, nor do they require special sports skills, so they can be performed anywhere and at any time. Furthermore, not only can you breathe fresh air during the activity, and Enjoy the outdoor scenery, at the same time you can adjust the speed according to your physical condition during exercise, and use the combination of different speed rhythms to train breathing and endurance, as well as exercise to muscles in different parts of the body, so as to increase muscle mass and consume more calories And so on, so it is loved by all ages.
查,為了方便使用者掌握運動期間的運動強度,其通常可藉由心率、行進速度、地面的坡度、運動持續時間等參數來進行估算,以便使用者了解身體的活動水準;其中,行進速度的計算通常是使用加速度計來偵測行進時身體的振動,根據採集到的加速度變化規律及人體運動步伐特徵,並藉助計步器演算法來計算行進的步數與行進速度,惟,現有的計步器演算法的準確性有其先天上的限制,由於不同使用者的運動規律不同且身體振動程度大小不一,或是發生振動波形不規則的情況時,計步器演算法無法正確的判斷是否為有效的步伐,因此容易出現誤判,致使計步精確度降低,更導致後續評估運動強度的準確性降低,實有待改善。In order to facilitate the user to grasp the exercise intensity during exercise, it can usually be estimated by parameters such as heart rate, travel speed, slope of the ground, exercise duration, etc., so that the user can understand the body's activity level; The calculation is usually to use an accelerometer to detect the vibration of the body while traveling, according to the collected acceleration changes and the characteristics of the human body's movement pace, and to use the pedometer algorithm to calculate the number of steps and the speed of travel, but the existing The accuracy of the pedometer algorithm has its inherent limitations. Due to different movement laws of different users and different degrees of body vibration, or irregular vibration waveforms, the pedometer algorithm cannot correctly judge Whether it is an effective step is therefore prone to misjudgment, which leads to a decrease in the accuracy of step counting, and further reduces the accuracy of the subsequent evaluation of exercise intensity, which needs to be improved.
因此,本發明之目的,是在提供一種使用加速度計輔助評估運動強度的方法,其可有效判斷身體的振動強度,藉以精準評估運動期間的運動強度,降低誤判機率,進而提升評估的準確性。Therefore, the purpose of the present invention is to provide a method for assisting the evaluation of exercise intensity using an accelerometer, which can effectively determine the vibration intensity of the body, thereby accurately assessing the exercise intensity during exercise, reducing the probability of misjudgment, and thereby improving the accuracy of the evaluation.
於是,本發明使用加速度計輔助評估運動強度的方法,其包含有量測、前處理、計算及運算步驟等;其中,於該量測步驟中分別針對使用者身體運動的三軸方向(即側向、前向及垂直方向)所產生的加速度進行量測,以得到三軸加速度訊號,同時收集使用者的生理資訊,並於該前處理步驟中備有一濾波器,藉由該濾波器採用移動平均處理來消除該三軸加速度訊號內的高頻干擾訊號,接著於該計算步驟中依據該三軸加速度訊號計算出加速度強度向量,再藉由該加速度強度向量計算出總加速度,最後於該運算步驟中依據一預定時間分別運算前述總加速度與該生理資訊的平均值,並將該總加速度、該生理資訊與前述平均值予以帶入一算式中,以計算出一運動強度;是以,藉由該三軸加速度的輔助評估,以利於有效偵測使用者身體的振動強度,再配合該生理資訊,進而計算出運動期間的運動強度,藉以大幅降低誤判率,進而有效提升評估的準確性。Therefore, the present invention uses an accelerometer to assist in evaluating the exercise intensity, which includes measurement, pre-processing, calculation, and calculation steps; wherein, in this measurement step, the three-axis directions of the user's body movement (ie, side Direction, forward direction and vertical direction) to measure the acceleration generated to obtain the three-axis acceleration signal, at the same time collect the user's physiological information, and prepare a filter in the pre-processing step, using the filter to move Averaging to eliminate high-frequency interference signals in the three-axis acceleration signal, then in the calculation step, an acceleration intensity vector is calculated based on the three-axis acceleration signal, then the total acceleration is calculated from the acceleration intensity vector, and finally the calculation In the step, the average value of the total acceleration and the physiological information are respectively calculated according to a predetermined time, and the total acceleration, the physiological information and the average value are brought into a calculation formula to calculate an exercise intensity; The auxiliary evaluation of the three-axis acceleration is beneficial to effectively detect the vibration intensity of the user's body, and then cooperate with the physiological information to calculate the exercise intensity during the exercise, thereby greatly reducing the misjudgment rate, thereby effectively improving the accuracy of the evaluation.
有關本發明之前述及其他技術內容、特點與功效,在以下配合參考圖式之較佳實施例的詳細說明中,將可清楚的明白。The foregoing and other technical contents, features and effects of the present invention will be clearly understood in the following detailed description with reference to the preferred embodiments of the drawings.
參閱圖1及圖2,本發明一種使用加速度計輔助評估運動強度的方法,其包含有一量測步驟,一前處理步驟,一計算步驟,以及一運算步驟等;首先,該量測步驟中備有一處理器,並藉由該處理器針對使用者身體運動的側向、前向及垂直方向所產生的加速度進行量測,而本實施例中,前述該側向方向即為x軸方向,該前向方向即為y軸方向,而該垂直方向即為z軸方向,進而得到x軸加速度訊號、y軸加速度訊號及z軸加速度訊號,同時收集使用者的生理資訊,其中,該生理資訊包含有身體前傾角度、體溫與心率。Referring to FIGS. 1 and 2, a method for assisting in evaluating exercise intensity using an accelerometer of the present invention includes a measurement step, a pre-processing step, a calculation step, and an arithmetic step; first, the measurement step is prepared There is a processor, and the processor measures the acceleration generated in the lateral, forward and vertical directions of the user's body movement. In this embodiment, the lateral direction is the x-axis direction. The forward direction is the y-axis direction, and the vertical direction is the z-axis direction, and then the x-axis acceleration signal, the y-axis acceleration signal, and the z-axis acceleration signal are obtained, and the user's physiological information is collected at the same time, where the physiological information includes There are forward body angle, body temperature and heart rate.
仍續前述,接著於該前處理步驟中備有一濾波器,而該濾波器採用移動平均處理來消除該x軸加速度訊號、該y軸加速度訊號及該z軸加速度訊號內的高頻干擾訊號,而該濾波器的差分方程式如下列:Continuing the foregoing, a filter is prepared in the pre-processing step, and the filter uses moving average processing to eliminate high-frequency interference signals in the x-axis acceleration signal, the y-axis acceleration signal, and the z-axis acceleration signal, The difference equation of the filter is as follows:
其中, 、 與 分別是該x、y與z軸加速度訊號, 、 與 則是該濾波器的輸出訊號,M為該濾波器的長度,配合參閱圖4,經過移動平均濾波處理之後的x、y與z軸加速度訊號對比圖3中該x、y與z軸原始加速度訊號明顯更為平滑。 among them, , versus Are the x, y, and z axis acceleration signals, , versus Is the output signal of the filter, M is the length of the filter, with reference to FIG. 4, the x, y, and z axis acceleration signals after moving average filtering are compared. The original accelerations of the x, y, and z axes in FIG. 3 The signal is significantly smoother.
仍續前述,再於該計算步驟中,透過該處理器將經由該濾波器濾波後的x、y與z軸加速度訊號予以帶入一算式內,進一步計算該x、y與z軸加速度訊號的加速度強度向量 ,而前述該算式如下列: Continuing with the foregoing, in this calculation step, the x, y, and z axis acceleration signals filtered by the filter are brought into a formula through the processor to further calculate the x, y, and z axis acceleration signals. Acceleration intensity vector , And the aforementioned formula is as follows:
再將該加速度強度向量 予以帶入下述算式中,藉以計算出總加速度 , Then the acceleration intensity vector Take it into the following formula to calculate the total acceleration ,
其中,N代表時間的長度,最後於該運算步驟中,透過該處理器依據一預定時間分別運算出前述總加速度 與該生理資訊的平均值,當前述該預訂時間較短時,所計算出的運動強度可以反應出使用者於較短時間內的運動強度,反之,當該預訂時間較長時,該運動強度可以反應出使用者於較長時間內的運動強度,接著將該總加速度 、該生理資訊與前述平均值予以帶入一算式中,而前述該算式如下列: Where N represents the length of time, and finally in the calculation step, the total acceleration is calculated by the processor according to a predetermined time With the average value of the physiological information, when the aforementioned booking time is shorter, the calculated exercise intensity can reflect the user's exercise intensity in a shorter time, and conversely, when the booking time is longer, the exercise intensity Can reflect the user's exercise intensity for a long time, and then the total acceleration The physiological information and the aforementioned average value are brought into a calculation formula, and the aforementioned calculation formula is as follows:
運動強度=(平均總加速度/最大總加速度)x總加速度佔比(%)+(平均身體前傾角度/最大前傾角度)x前傾角度佔比(%)+(平均體溫/最高體溫)x體溫佔比(%)+(平均心率/最高心率)x心率佔比(%);Exercise intensity = (average total acceleration / maximum total acceleration) x total acceleration ratio (%) + (average body forward angle / maximum forward angle) x forward angle ratio (%) + (average body temperature / maximum body temperature) x body temperature ratio (%) + (average heart rate / maximum heart rate) x heart rate ratio (%);
其中,該總加速度佔比、該前傾角度佔比、該體溫佔比及該心率佔比總和為百分之百。The total acceleration ratio, the forward tilt angle ratio, the body temperature ratio and the heart rate ratio are 100%.
仍續前述,如此即可計算出運動期間的運動強度,因此,藉由該側向、前向及垂直加速度(即x、y與z軸加速度)的輔助評估,以達到有效判斷身體的振動強度,再配合該生理資訊,進而計算出運動期間的運動強度,不僅大幅降低誤判率,更能有效提升評估的準確性。Continuing the above, the exercise intensity during exercise can be calculated in this way, so the auxiliary evaluation of the lateral, forward and vertical accelerations (ie, x, y, and z axis accelerations) can be used to effectively determine the vibration intensity of the body , In conjunction with the physiological information, and then calculate the exercise intensity during exercise, not only greatly reduce the misjudgment rate, but also effectively improve the accuracy of the assessment.
歸納前述,本發明使用加速度計輔助評估運動強度的方法,其包含有量測、前處理、計算及運算等步驟;其中,於該量測步驟藉由該處理器量測使用者身體運動的三軸方向加速度訊號,同時收集使用者的生理資訊,接著於該前處理步驟藉由該濾波器採用移動平均處理來消除該三軸加速度訊號內的高頻干擾訊號,進一步於該計算步驟依據該三軸加速度訊號計算出加速度強度向量,再藉由該加速度強度向量計算出總加速度,最後於該運算步驟依據該預定時間分別運算前述總加速度與該生理資訊的平均值,並藉由該總加速度、該生理資訊與前述平均值計算出運動強度,如此即可有效偵測使用者身體的振動強度,同時配合該生理資訊進而計算出運動期間的運動強度,藉以大幅降低誤判率,進而有效提升評估的準確性。In summary, the present invention uses an accelerometer to assist in evaluating the exercise intensity, which includes steps such as measurement, pre-processing, calculation, and calculation; wherein, in the measurement step, the processor measures three movements of the user's body The axis acceleration signal is collected at the same time as the user's physiological information. Then, in the pre-processing step, the filter is used to remove the high-frequency interference signal in the tri-axis acceleration signal by the moving average process. The calculation step is further based on the three The axis acceleration signal calculates the acceleration intensity vector, and then calculates the total acceleration from the acceleration intensity vector, and finally calculates the average value of the total acceleration and the physiological information according to the predetermined time in the calculation step, and by the total acceleration, The physiological information and the aforementioned average value calculate the exercise intensity, so that the vibration intensity of the user's body can be effectively detected, and the exercise intensity during the exercise can be calculated in conjunction with the physiological information, thereby greatly reducing the misjudgment rate, thereby effectively improving the evaluation accuracy.
惟以上所述者,僅為說明本發明之較佳實施例而已,當不能以此限定本發明實施之範圍,即大凡依本發明申請專利範圍及發明說明書內容所作之簡單的等效變化與修飾,皆應仍屬本發明專利涵蓋之範圍內。However, the above are only for explaining the preferred embodiments of the present invention, but the scope of the implementation of the present invention cannot be limited by this, that is, simple equivalent changes and modifications made according to the scope of the patent application of the present invention and the content of the description of the invention , Should still fall within the scope of this invention patent.
(本發明) 無(Invention) None
圖1是本發明一較佳實施例之流程方塊示意圖。 圖2是該較佳實施例之另一流程方塊示意圖。 圖3是三軸加速度訊號進行濾波前之示意圖。 圖4是三軸加速度訊號進行濾波後之示意圖。 FIG. 1 is a schematic flowchart of a preferred embodiment of the present invention. FIG. 2 is another schematic block diagram of the preferred embodiment. Figure 3 is a schematic diagram of the three-axis acceleration signal before filtering. Fig. 4 is a schematic diagram of the three-axis acceleration signal after filtering.
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