This invention includes many monitoring portions and a calorie consumption processing portion. These monitoring portions can capture a person who moves inside an activity space. The calorie consumption processing portion can link with the monitoring portions for capturing the monitoring images in this activity space and to obtain the coordinates of certain points during the body’s movement. Then, by utilizing the minimum square linear transformation, the 3D coordinate information can be obtained. Hence, it can conduct the kinematic calculation and human kinetic computing so as to calculate the kinetic energy consumption. Finally, it can be converted into the calorie consumption. Thus, this invention can monitor the user’s calorie consumption condition. Therefore, this invention is more accurate by monitoring the limb-segment moving and conversion. It can focus on specific section of the user by setting particular image capturing points. It has specific definition zones for increasing the recognizing accuracy for image capturing points.本創作包括複數個監控部及一熱量消耗處理部,監控部對活動空間內活動之人體進行攝影;熱量消耗處理部連結監控部而接收其對活動空間攝影之監控影像,並從監控影像中辨識取得人體移動過程之影像擷取點的座標值,以進行最小平方法線性轉換,取得影像擷取點之3D座標值,而進行影像擷取點運動學運算、人體動力學運算,以取得人體機械能量消耗值,再進行熱量消耗轉換,以即時監控人體熱量消耗狀況。故,本案兼具3D攝影計算肢段熱量消耗較準確、設定影像擷取點可針對預定肢段計算熱量消耗,與具有定義區塊可提高影像擷取點之辨識準確度等優點。10a、10b、10c與10d‧‧‧監控部20‧‧‧熱量消耗處理部21‧‧‧計算部22‧‧‧顯示部23‧‧‧輸入部90‧‧‧活動空間91‧‧‧人體90A‧‧‧監控影像