200842653 九、發明說明: 【發明所屬之技術領域】 本發明係關於一種人體運動佈態量測裝置之設計,特 別是關於一種人體運動佈態分析方法及其系統,用以分析 人體之動態姿態。 【先前技術】200842653 IX. Description of the Invention: [Technical Field] The present invention relates to a design of a human body motion measurement device, and more particularly to a human body motion analysis method and system for analyzing a dynamic posture of a human body. [Prior Art]
市面上的運動類電玩(如網球或棒球等等)雖具有遙 控之力肖b仁除了此與玩遊戲者互動、達到娛樂之效果外, 並無法對使用者的動作執跡作分析,更無法作加速度、位 置、距離的評估計算。 例如中華民國專利第扇714331號專利案中,揭露h 一種遊戲機用之操作裝置(控制器),包括縱向外殼,以石 外殼而可被手掌包覆的握把部份。於上方表面㈣ =猎由握'持握把部份之手的拇指操作的位置設置方向腐 亚且於其背部設有開始開關與選擇開關4減Υ金 2殼上方表面另外排成—直線。料殼前端以縱向設置 攝像貧訊計算單元,俾使其攝像裝置從前端表面暴露出。 部份之手的食指來操作…: :=號從而可,依據控制器的位置舆二 200842653 • @目㈤習用之運動訓練器或人機互動訓練器只使用單 一-個加速度感測器來量測上半I或下半身某—部位的點 到線之動作,例如只能量測到左手所產生的動作信號,並 無法刀析使用者局部的肢體動作與總體動作,亦無法作左、 右手的則後平衡測試或是左、右腳的前後平衡測試,更無 法作出—維或二維的人體運動執跡圖形。 亦即,單一一個加速度感測器(不論是2軸或3軸加 # 速度感測器)只能作單一點至線之加速度位移曲線軌跡分 7 ’亚無法作加速度位移曲面、或三維、四維的立體圖形 =析,並且只能對運動者身上某一部位的單點運動軌跡作 刀析’無法對運動者的整個身體動作和姿態作分析。 再者’傳統的姿勢分析需要乡位麟的技術人員使用 f台攝影機,以三點式以上影像攝影的方式,再作點的進 一步分析,不但設備昂貴而且費時費力,如第1圖所示, 不動者3之高爾夫球揮桿動作分析,其在影像攝 魯 錄刀析方面使用了二台攝像頻率為1/1000秒的數位攝影機 ^、lb’、1C’,以及一台攝像頻率為1/2500秒的數位攝影 機2,亚配合一三維的3D肢段分析軟體,和一數位照 相機14’拍攝每次的打擊面球印。 而其在測力板分析方面使用了一訊號頻率為l/i〇⑽秒 的測力板4’,並以—連接單元5,連接在測力板4,和一揮桿 j皮8之間’以接受桿頭觸草皮於測力板4,的反作用時間, 藉以測付體重轉移與桿頭擊球的時間順序,並將其經由一 六員比至數位轉換器6’傳送至一測力板分析軟體7,。 6 200842653 . 至於肌電分析方面,j:佶用7 一 ,分別貼於運動二=電_, ,,„.g 之右胸大肌、右背闊肌、 和左㈣側肌,以及-纽類比絲位 —肌電分析軟體】2,,藉以分析下桿的肌肉時序。禾 的揮=1的揮Γ=8,料㈣戶外❹料紅外線發射 的側旋率、後旋率、擊球距離、及= 人^;1球受撞擊後 癱秒的攝影以夏季的日正當中時/果Λ貝科,唯上述麵0 • …影響,所以用一遮 當運動者3將敏*%來遮陰於草皮上。 動者3將球擊出後,需一遮球網13,來將球播住。 訊號勢4Γ以影像式或聲歧應同步攫取 以分析、肌1分析、肢段料㈣分析, 不同戒唬在同一時間的互相表現内容。 利宰華民國新型專利公告證號第586058號專 _ -儲U 種影像播放與動作她系統,包含: 資料、特效資料其中該儲存裝置係用以儲存影片 測一超聲波°該超聲波定位系統係用以偵 超聲波定使用者的即時影像晝面,及接_ 影片資晝面進行去背景處理後,重疊至播放中的 、4超聲波定位使用者使用超聲波 200842653 七射讀出較動作軌跡時,特效資料會被加人影片中, =„果。胃VCD/DVD影像壓縮卡係用以壓縮經 ®&理的該則跡使其成為VCD/DVD影像資料, 燒錄器燒錄儲存於—光碟上。再者,此影像播放 二 U的系統更可包含K用以輸出聲音效果、及 -印表機以列印影片中的任—靜態晝面。 【發明内容】 本發明之-目的是提供一種人體運動佈態分析方法及 /、糸統,以解決習知之問題。 為達到達到上述目的,本發明人體運動佈態分析方法 ,厂系統係以至少二加速度感測模組配戴於—運動者之選 1運動部位’每—個加速度感測模組包括-加速度感測器、 U处理π和―貝料傳輸介面。加速度感卿會感測運動 己1位置於㈣時所產生之加速度彳线並將其傳送至 =理器’微處理器會將所接收之加速度信號經計算轉換 動者之配戴位置之加速度位移軌跡資料,並將其經由 2傳輸介面傳送至—人體運動佈態分析裝置。再由人體 ^動佈態分«置之中央處理器依據所接收之加速度位移 跡貪料分析指定運動部位之加速度位移執跡資料之間 對稱關係。 、、、二由本發明所採用之技術手段,即可對人體的整個身 ^作和安態作分析,並且經濟又省時省力。 8 200842653 【實施方式】 參閱第2圖至篦4固π- 心 口芏弟4圖所不,本發明人體 系統之較佳實施例包括一 佈心刀析 、匕括二個加速度感測模組ia、】h 一人體運動佈態分析裝置2。一個A lb “和 ,v , 罝2二個加速度感測模組la、lb、 ㈠別配戴於-運動者3之手腕、手肘和手臂 個加速度感測模組la、lb、le 由於二 3 m , ^ 之、、且成構件均相同,因此第 回’、、、不u速度感測模組^a之控制電路。 加速度感測模、組la包括一同步信號接收器1〇、一加 ,度感測器η、-微處理器12、—記憶單元13、一顯示 單元14、一辨識碼μ、一按 ^ 、、…、 無線發射…一計時器 同步信唬接收器10、加速 又感測益!卜記憶單元13、顯示單元14、辨識碼… °。σ (,、為射态18連接於資料傳輸介面17。其中顯 不單元14於本發明之其它實施例中亦可不錢置。- *、、 人體運動佈態分析裝置2包括—接收電路2卜一 處理器22、一辨識碼儲存單元23、一記憶單元24、一鍵 盤早凡25、一顯示單元26、一同步信號產生器27和-電 子裝置連接介面28。接收電路21、辨識碼儲存單元 記憶單元24、鍵盤單元25、顯示單元%、同步信號產生 器27和電子裝置連接介面28分別連錢中央處理器I 加速度感測器11係為三維(1111^1_如1^,义、7、 Z Axis)的加速度感測器,用以感測運動者3之配戴位置於 運動㈣產生之加速度信號’然後使用者可由人體運動佈 9 200842653In the market, sports video games (such as tennis or baseball, etc.) have the power of remote control. In addition to interacting with gamers and achieving entertainment effects, it is impossible to analyze the user’s actions and even Accurate calculation of acceleration, position, and distance. For example, in the Patent No. 714331 of the Republic of China Patent No. 714,331, the operating device (controller) for a game machine is disclosed, which comprises a longitudinal casing, a grip portion which can be covered by a palm with a stone casing. On the upper surface (4) = Hunting is held by the handle of the grip part of the hand to set the direction of the position of the rot and on the back of the back with a start switch and selector switch 4 minus the gold 2 shell surface is additionally arranged in a straight line. The front end of the casing is arranged longitudinally to capture the image calculation unit, so that the camera device is exposed from the front end surface. Part of the hand's index finger to operate...: := No. Thus, depending on the position of the controller 舆二200842653 • @目(五) The used exercise trainer or human-machine interactive trainer uses only a single acceleration sensor The action of measuring the point-to-line of the upper part of the upper part I or the lower part of the lower body, for example, can only measure the motion signal generated by the left hand, and cannot analyze the partial body movement and the overall movement of the user, nor can it be left and right handed. Then the balance test or the front and rear balance test of the left and right feet, it is even more impossible to make a dimensional or two-dimensional human motion trace. That is, a single acceleration sensor (whether 2 or 3 axis plus # speed sensor) can only be used as a single point to line acceleration displacement curve trajectory 7 'Asia can not be used as acceleration displacement surface, or 3D, 4D The three-dimensional graphics = analysis, and can only analyze the single-point motion trajectory of a certain part of the athlete's body can not analyze the entire body movements and posture of the athlete. Furthermore, 'traditional posture analysis requires the technicians of the township Lin to use the f-camera to further analyze the image by means of three-point or more image photography. Not only is the equipment expensive and time-consuming, as shown in Figure 1, the inactive The analysis of the golf swing of 3, which uses two digital cameras with camera frequency of 1/1000 second, lb', 1C', and one camera frequency of 1/2500 seconds. The digital camera 2, sub-fitted with a three-dimensional 3D limb analysis software, and a digital camera 14' shoot each time the face is printed. In the analysis of the force plate, a force measuring plate 4' with a signal frequency of l/i 〇 (10) seconds is used, and is connected between the force measuring plate 4 and a swing j skin 8 by a connecting unit 5 In order to accept the reaction time of the head touching the turf on the force plate 4, the time sequence of the weight transfer and the head shot is measured, and transmitted to a force plate via a six-member to digital converter 6'. Analysis software 7,. 6 200842653 . As for the analysis of myoelectricity, j: used 7 one, respectively attached to the exercise 2 = electric _, ,, „.g right pectoralis major, right latissimus dorsi, and left (four) lateral muscle, and - New Analogy silk position - myoelectric analysis software] 2, in order to analyze the muscle timing of the lower rod. The swing of the swing of the sand = 8, material (4) the side rotation rate, the back rotation rate, the hitting distance of the infrared radiation of the outdoor material , and = person ^; 1 ball after the impact of the leap second photography in the summer of the middle of the day / fruit Λ Beca, only the above face 0 ... ... influence, so with a cover when the athlete 3 will be sensitive *% to cover It is overcast on the turf. After the player 3 hits the ball, he needs to cover the net 13 to play the ball. The signal potential is 4, which is synchronously captured by the image or sound, for analysis, muscle analysis, and limb material (4) Analysis, different swearing at the same time, mutual performance content. Li Zaihua Republic of China new patent announcement number No. 586058 _ - Storage U image playback and action her system, including: data, special effects data, the storage device is used Measuring an ultrasonic wave by storing a film. The ultrasonic positioning system is used for detecting an instant image of a user, and After the background processing of the video is carried out, the user who overlaps the playback and the 4 ultrasonic positioning users use the ultrasonic wave 200842653 to read the comparison motion track, the special effects data will be added to the film, = „ fruit. The stomach VCD/DVD image compression card is used to compress the traces of the ® & the VCD/DVD image data, and the burner is burned and stored on the optical disc. Moreover, the system for playing the image can further include K for outputting sound effects, and - the printer to print any of the static faces in the film. SUMMARY OF THE INVENTION The present invention has an object to provide a human body motion analysis method and/or system to solve the conventional problems. In order to achieve the above object, the human body motion analysis method of the present invention, the factory system is equipped with at least two acceleration sensing modules, the movement part of the sportsman's selection, the motion sensing module, each acceleration sensing module includes a sense of acceleration. Detector, U processing π and "beech transmission interface. The acceleration sensor will sense the acceleration line generated by the motion 1 position at (4) and transmit it to the = processor. The microprocessor will calculate the acceleration signal of the received acceleration signal by the calculated displacement. The trajectory data is transmitted to the human motion analysis device via the 2 transmission interface. Then, the central processor divides the symmetry relationship between the acceleration displacements of the specified moving parts according to the received acceleration displacement trace analysis. The technical means adopted by the invention can analyze the whole body and the state of the human body, and is economical, time-saving and labor-saving. 8 200842653 [Embodiment] Referring to FIG. 2 to FIG. 4, the preferred embodiment of the human body system of the present invention includes a cloth core knife and two acceleration sensing modules. ,] h a human body motion analysis device 2. One A lb "and, v, 罝 2 two acceleration sensing modules la, lb, (a) are not worn on - the wrist 3, elbow and arm acceleration sensing modules la, lb, le due to two 3 m , ^ , and the components are the same, so the control circuit of the first ',, and no speed sensing module ^a. The acceleration sensing mode, the group la includes a synchronous signal receiver 1 Plus, degree sensor η, - microprocessor 12, - memory unit 13, a display unit 14, an identification code μ, a press ^, ..., wireless transmission ... a timer synchronization signal receiver 10, acceleration Further, the memory unit 13, the display unit 14, the identification code ... °. σ (, is connected to the data transmission interface 17 for the illuminating state 18. The display unit 14 may not be in the other embodiments of the present invention. The human body motion analysis device 2 includes a receiving circuit 2, a processor 22, an identification code storage unit 23, a memory unit 24, a keyboard, a display unit 26, and a synchronization signal. The generator 27 and the electronic device are connected to the interface 28. The receiving circuit 21 and the identification code storage unit are memorized. The element 24, the keyboard unit 25, the display unit %, the synchronization signal generator 27 and the electronic device connection interface 28 are respectively connected to the central processing unit 1 and the acceleration sensor 11 is three-dimensional (1111^1_如1^, meaning, 7, The acceleration sensor of Z Axis) is used to sense the acceleration signal generated by the movement position of the athlete 3 (4) and then the user can be moved by the human body 9 200842653
態分析裝置2之鍵盤單元25按下啟動鍵,以使人體運動佈 態分析裝置2之中央處理器22下一啟動指令使同步信號產 生器27發射一同步啟動信號至加速度感測模組1 a之同步 "ί吕號接收器1 0和其它加速度感測模組1|3、1〇之同步信號 接收器,然後傳送至加速度感測模組la之微處理器12和 其它加速度感測模組lb、lc之微處理器,加速度感測模組 la之微處理器12和其它加速度感測模組lb、lc之微處理 器於接收此同步啟動信號後,此時開始由各加速度感測模 組1 a、1 b、1 c之加速度感測器將所感測之加速度信號傳送 至各加速度感測模組之微處理器。加速度感測模組la之微 處理器12接收加速度感測器n所傳送之加速度信號後(以 及加速度感測模組lb、lc之微處理器接收加速度感測器所 傳送之加速度信號後),會將其作積分運算(亦即將其經 計算轉換為運動者3之配戴位置之加速度位移轨跡資料), 然後將積分運算出之曲線顯示於顯示單元14,其積分運算 之公式如下: 加速度感測模組1 a有X、Y、z三個向量· ΣΑ= (Xa+AXa > Ya+AYa , Za+AZa ,) △ xa=xan-xa(n—υ Δ Ya= Yan~ Ya(n-l) △ za 二 zan — za(n—n 其中n = 1〜n 而加速度感測模組1 b亦有X、γ、z三個向量 200842653 ΣΒ= (Xb+AXb , Yb+AYb > Zb+AZb 5 ) △ Xb = Xbn-Xbu—i) △Ym(n—υ △ zb=zbn—Zb(n 叫) 其中n= 1〜η 且加速度感測模組le亦有X、γ、ζ三個向量: ΣΟ- (Xc+AXc „ yc+AYc , Zc+AZc ^ △ Xc=Xcn—Xc(n叫) (η- 1 △ Yc=Ycn—叉 (η— 1 △ Zc= Zcn — 其中1〜n 如第5圖所示,加速度感測模組1 a之微處理器12 ^ 依(Xa+AXa,Ya+AYa,Za+AZa,)^ 積分出一條運動曲線A。而加速度感龍組lb之微處理I 可依據 ΣΒ= (、+△& ’ ,z“AZb,) 而積刀出條運動曲線B。同理加速度感測模組之微^ 理器可依據ic=(Xe+zXXe,Υε+Δγ。,Ze+AZe,The keyboard unit 25 of the state analysis device 2 presses the start button to cause the central processor 22 of the human body motion analysis device 2 to start a command to cause the synchronization signal generator 27 to transmit a synchronization start signal to the acceleration sensing module 1a. Synchronous "ί吕 receiver 10 and other acceleration sensing modules 1|3, 1〇 synchronous signal receiver, and then transmitted to the microprocessor 12 of the acceleration sensing module la and other acceleration sensing modes The microprocessor of the group lb, lc, the microprocessor 12 of the acceleration sensing module la and the microprocessors of the other acceleration sensing modules lb, lc receive the synchronization start signal, and then start the sensing by each acceleration. The acceleration sensors of the modules 1 a, 1 b, and 1 c transmit the sensed acceleration signals to the microprocessors of the respective acceleration sensing modules. The microprocessor 12 of the acceleration sensing module la receives the acceleration signal transmitted by the acceleration sensor n (and the microprocessor of the acceleration sensing module lb, lc receives the acceleration signal transmitted by the acceleration sensor), It will be integrated (that is, it will be converted into the acceleration displacement trajectory data of the wearing position of the athlete 3), and then the curve of the integral operation is displayed on the display unit 14, and the formula of the integral operation is as follows: The sensing module 1a has three vectors of X, Y, and z. ΣΑ = (Xa+AXa > Ya+AYa, Za+AZa,) △ xa=xan-xa(n—υ Δ Ya= Yan~ Ya( Nl) △ za two zan — za(n—n where n = 1~n and the acceleration sensing module 1 b also has three vectors of X, γ, z 200842653 ΣΒ= (Xb+AXb , Yb+AYb > Zb +AZb 5 ) △ Xb = Xbn-Xbu—i) ΔYm(n—υ Δ zb=zbn—Zb(n 叫) where n= 1~η and the acceleration sensing module le also has X, γ, ζ Vectors: ΣΟ- (Xc+AXc „ yc+AYc , Zc+AZc ^ △ Xc=Xcn—Xc(n called) (η- 1 △ Yc=Ycn—fork (η— 1 △ Zc= Zcn — where 1~ n As shown in Figure 5, the acceleration sensing module 1 a microprocessor 12 ^ according to (Xa + AXa, Ya + AYa, Za + AZa,) ^ integrates a motion curve A. The acceleration of the acceleration sensor group lb I can be based on ΣΒ = (, + △ & ',z"AZb,) and the knife is out of motion curve B. The microprocessor of the same acceleration sensing module can be based on ic=(Xe+zXXe, Υε+Δγ.,Ze+AZe,
而積分出一條運動曲線C。 C 並且加速度感測模組la之微處理器12以及加速度肩 測模組lb、le之微處理器可將其所積分運算出之曲線 B、C (即運動者3之配戴位置之加速度位移執跡資料)M =辨識碼後(加速度感測模組la為辨識石馬ΐ5)經由資剩 傳輸介面Π和無線發射器18傳送至人體運動佈態分析 200842653And integrate a motion curve C. C and the microprocessor 12 of the acceleration sensing module la and the microprocessor of the acceleration shoulder test module lb, le can calculate the curve B and C of the integrated operation (that is, the acceleration displacement of the wearing position of the athlete 3) Execution data) M = identification code (acceleration sensing module la is identification stone horse 5) transmitted to the human body motion state analysis via the residual transmission interface 无线 and wireless transmitter 18 200842653
人體運動佈態分析裝置2之接收電路21係用以接收 加速度感測模組la、lb、le所傳送之運動者3之配戴位置 之加速度位移軌跡資料以及加速度感測模組u之 辨識碼,並將其傳送至中央處理器22。中央處理器22於 接收接收電路21所傳送之運動者3之配戴位置之二速度位 移執跡資料以及加速度感測模組la、lb、“之辨識瑪=, 會將加速度感測模組la' lb、le、ld之辨識碼與辨等碼儲 存單元23所儲存之各加速度感測模組la、lb、^之辨熾 碼相比對’㈣朗減之加速度位移執跡㈣係屬何二 速度感測模組。 然後人體運動佈態分析裝置2之中央處理器22係可 依據所接收之 ΣΑ= (Xa+AXa,Υ3+Λγ&,&+△ za,)以及 ΣΒ= (xb+ AXb,Yb+ △ Yb,Zb+ △&,) 而積分出加速度感測模組la之加速度位移執跡資料、^加 速度感測模組lb之加速度位移軌跡資料二者所構成的—個 曲面,如第5圖所示。 並且中央處理器22更可依據所接收之ΣΑ= (&+△ Χδ Ya+ △ Ya,Za+ AZa,)和 ΣΒ= (Xb+ ^ + △ Yb, zb + △ Zb,)以及 Σ C = ( xc + △ xc, γ + ,ZC+/\ZC,)而積分出加速度感測模組u之加速 度位移執跡資料、和加速度感測模組ib之加速度位移執跡 資料、以及加速度感測模組lc之加速度位移執跡資料三者 所構成的一個立體3D曲面,如第5圖所示。 12 200842653 並且中央處理器22亦可將各加速度 1C之加速度位移軌跡資料及其所構成之曲線、曲面^體 3D曲面經由電子裝置連接介面28傳送至置體 電腦或PDA等等)。 丁衣置(如 ,6圖係本發明人體運動佈態分析方法之操 圖,茲配合前述實施例之圖式 /、 L ^ 一說明。 口式對本鲞明之整個操作流程作 百无The receiving circuit 21 of the human body motion analysis device 2 is configured to receive the acceleration displacement trajectory data of the wearing position of the athlete 3 transmitted by the acceleration sensing module la, lb, and le and the identification code of the acceleration sensing module u. And transfer it to the central processing unit 22. The central processing unit 22 receives the second speed displacement trace data of the wearer position of the player 3 transmitted by the receiving circuit 21, and the acceleration sensing module la, lb, "the recognition horse =, the acceleration sensing module la The identification code of 'lb, le, ld' is compared with the identification of the acceleration sensing modules la, lb, and ^ stored by the identification code storage unit 23, and the acceleration displacement (4) of the '(four) reduction is The second speed sensing module. Then, the central processing unit 22 of the human body motion analysis device 2 can be based on the received ΣΑ = (Xa + AXa, Υ 3 + Λ γ &, & + Δ za,) and ΣΒ = (xb + AXb, Yb+ △ Yb, Zb+ △ &,) and integrate the acceleration displacement sensing data of the acceleration sensing module la, and the acceleration displacement trajectory data of the acceleration sensing module lb, such as a curved surface, such as As shown in Fig. 5, the central processing unit 22 can further depend on the received ΣΑ = (& + Δ Χ δ Ya + Δ Ya, Za + AZa,) and ΣΒ = (Xb + ^ + Δ Yb, zb + Δ Zb,) and Σ C = ( xc + △ xc, γ + , ZC+/\ZC,) and integrate the acceleration bit of the acceleration sensing module u A stereoscopic 3D curved surface composed of the displacement trace data, the acceleration displacement trace data of the acceleration sensing module ib, and the acceleration displacement trace data of the acceleration sensing module lc is shown in Fig. 5. 12 200842653 and the central processing unit 22 can also transmit the acceleration displacement trajectory data of each acceleration 1C and the curved curve and curved surface 3D curved surface thereof to the body computer or PDA through the electronic device connection interface 28, etc. For example, Figure 6 is a diagram of the human body motion analysis method of the present invention, which is described in conjunction with the drawings /, L ^ of the foregoing embodiment. The mouth type does not have a complete operation flow of the present invention.
熊八p f "、〃 —加速度❹】餘和—人體運動佈 =, ),並將各力_測模組配戴於 一運動者之選定運動部位(步驟102)。 於是運動者開始運動’隨即由各加速度感測模組之加 速又感測益感測運動者之各配戴位置於運動時所產生之加 速度信號(㈣1G3),然後使用者可決定是否按下人體 運動佈態分析裝置之啟動鍵(步驟1G4),若是,則由人 體運動佈態分析裝置之中央處 罝m處理益下-啟動指令使同步信 ’u °°、χ 同步啟動信號至各加速度感測模組(步驟 、1〇5) ’、然後才由各加速度感測模組之加速度感測器將所感 測之加速度h號傳送至各加速度感測模組之微處理哭 驟 106) 。 y 各加速度感測模組之微處理器於接收各加速度感測模 組之加速度感測ϋ所傳狀加速度信號後,即由各加速度 感測模組之微處理器將所接收之加速度㈣輯算轉換為 各配戴位置之加速度位移執跡資料(步驟107)。 然後由各加速度感測模組之微處理器將經計算轉換所 200842653 取得之各配戴位置之加速度位移執跡資料經由各加速度感 測模組之資料傳輸介面傳送至—人體運動佈態分析裝置(步 驟 10 8 ) 〇 此人體運動佈態分析裝置於接收各加速度感測模組所 $送^速度位移執跡資料後,會由人體運動佈態分析裝 =之中央處理器依據所接收之加速度位移執跡資料計算求 传指定運動部位之擺動振幅之間的對稱關係(步驟刪。 接會由人體運動佈態分析裝置之中央處理器依據所 ,收^速度位移執跡資料計算求得指技動部位之加速 二稱關係(步驟110),亦會由人體運動佈態分 央處理器依據所接收之加速度位移執跡資料計 产位2&運動部位之加速度位移軌跡資料所構成之加速 度位移圖形(步驟11 1 )。 之體㈣佈11分析裝置之中央處理器依據所求得 移圖日=3=加⑽位移執跡資料所構成之加速度位 對運動者作人體運動佈態分析(步驟112)。 停止可決定是否按下人體運動佈態分析裝置之 m ’m會由人體運動佈態分析裝 步停=::;::指令使同步信號產生器發射-同 速度感魏驗(步驟114),錢各加 除了上述之操作流程外,本發 、 ;=置2預先設™位之二=佈先 W手臂的揮動距離為i米或】.5米等等),以作為= 14 200842653 • 者杈正的基準,操作流程如第7圖所示。 首先,係提供至少二加速度感測模組和一人體運動佈 恶刀析裝置(步驟2〇1),並將各加速度感測模組配戴於 一運動者之選定運動部位(步驟202)。 然後由人體運動佈態分析裝置之鍵盤單元預先設定一 運動部位之運動距離(步驟203),並由各加速度感測模 組之加速度感測器感測運動者之各配戴位置於運動時所產 _ 生之加速度信號(步驟204)。 然後使用者可決定是否按下人體運動佈態分析裝置之 啟動鍵(步驟205 ),若是,則由人體運動佈態分析裝置 之中央處理為下一啟動指令使同步信號產生器發射一同步 啟動信號至各加速度感測模組(步驟206)。 並且運動者之選定運動部位依照鍵盤單元所設定之運 動距離運動,其運動速度由職者事先決定,每:欠不同(步 驟207 )例如此次為慢速,等到下個循環流程時再以中 修帛速度運動。且由各加速度感測模組之加速度感測器將所 感則之力σ速度彳5號傳送至各力口速度感測模組之微處理器 驟 208) 〇 上然後由各加速度感測模組之微處理器將所接收之加速 ^號經計算轉換為各配戴位置之加速度位移軌跡資料(步 驟j〇9),且由各加速度感測模組之計時器量測運動者之 選定運動部位的運動時間並將其傳送至各加速度感測模組 之,處理為(步驟210),並由各加速度感測模組之微處 理杰將鍵盤單兀所設定之運動距離除以運動者之選定運動 15 200842653 部位的運動時間以取得運動者之選定運動部位的運動速度 (步驟211 )。 然後再由各加速度感測模組之微處理器將經計算轉換 所取得之各配戴位置之加速度位移執跡資料經由各加速度 感測模組之資料傳輸介面傳送至一人體運動佈態分析裝置 (步驟212)。Xiong Ba p f ", 〃-acceleration 余] Yuhe-human body cloth =, ), and each force _ test module is worn on a selected moving part of an athlete (step 102). Then the athlete starts to move', and then the acceleration signal of each acceleration sensing module senses the acceleration signal generated by each of the wearer's position during the movement ((4) 1G3), and then the user can decide whether to press the human body. The start button of the motion cloth analysis device (step 1G4), if yes, the center of the human body motion analysis device 处理m handles the benefit-start command to synchronize the signal 'u °°, 同步 synchronous start signal to each sense of acceleration The measurement module (step, 1〇5) ', then the acceleration sensor of each acceleration sensing module transmits the sensed acceleration h number to the micro-processing crying 106 of each acceleration sensing module). y After receiving the acceleration signal of the acceleration sensing sensor of each acceleration sensing module, the microprocessor of each acceleration sensing module receives the acceleration received by the microprocessor of each acceleration sensing module (4) The calculation is converted into acceleration displacement trace data for each wearing position (step 107). Then, the acceleration displacement tracking data of each wearing position obtained by the calculation and conversion system 200842653 is transmitted to the data transmission interface of the acceleration sensing module by the microprocessor of each acceleration sensing module to the human body motion state analysis device. (Step 10 8) After receiving the data of the acceleration and displacement of the acceleration sensing module, the human body motion analysis device is configured by the central motion processor of the human body motion analysis device according to the received acceleration. The displacement trace data is calculated and calculated to obtain the symmetrical relationship between the swing amplitudes of the specified motion parts (steps are deleted. The central processor of the human motion analysis apparatus is used to calculate and calculate the speed and displacement data. The acceleration two-symmetric relationship of the moving part (step 110) is also performed by the human body motion state state central processor according to the received acceleration displacement, the data of the production position 2 & the acceleration displacement trajectory data of the moving part of the acceleration displacement pattern (Step 11 1 ). The body of the body (4) cloth 11 analysis device is constructed according to the obtained map data of the displacement map = 3 = plus (10) displacement The acceleration position is used to analyze the movement pattern of the human body (step 112). The stop can determine whether the m 'm of the human body motion analysis device is pressed by the human body motion analysis step =::;:: The command causes the synchronization signal generator to transmit - the same speed sense test (step 114), and the money is added in addition to the above-mentioned operation flow, the present, ;= set 2 pre-set TM bit 2 = cloth first W arm swing distance is i meters or ].5 meters, etc.), as the benchmark of = 14 200842653 • The operation flow is shown in Figure 7. First, at least two acceleration sensing modules and a human body moving knife analyzing device are provided (step 2〇1), and each acceleration sensing module is worn on a selected moving part of an athlete (step 202). Then, the moving distance of the moving part is preset by the keyboard unit of the human body motion analysis device (step 203), and the acceleration sensors of the acceleration sensing modules sense the wearing positions of the sportsmen during the movement. Produce the acceleration signal (step 204). Then the user can decide whether to press the start button of the human body motion analysis device (step 205), and if so, the central processing of the human body motion analysis device is the next start command to cause the synchronization signal generator to transmit a synchronous start signal. To each acceleration sensing module (step 206). And the selected moving part of the athlete moves according to the moving distance set by the keyboard unit, and the moving speed is determined in advance by the employer, and each: is different (step 207), for example, this time is slow, and then waits until the next cycle. Repair speed movement. And the acceleration sensor of each acceleration sensing module transmits the sensed force σ speed 彳5 to the microprocessor 208) of each force velocity sensing module, and then the acceleration sensing module The microprocessor converts the received acceleration number into the acceleration displacement trajectory data of each wearing position (step j〇9), and the timer of each acceleration sensing module measures the selected moving part of the athlete The motion time is transmitted to each acceleration sensing module, and the processing is (step 210), and the motion distance set by the keyboard unit of each acceleration sensing module is divided by the motion selector. Exercise 15 200842653 The movement time of the part to obtain the speed of movement of the selected moving part of the athlete (step 211). Then, the acceleration displacement tracking data of each wearing position obtained by the calculation and conversion is transmitted to the human body motion state analysis device through the data transmission interface of each acceleration sensing module by the microprocessor of each acceleration sensing module. (Step 212).
、,此人體運動佈態分析裝置於接收各加速度感測模組戶, 傳迈之加速度位移執跡資料後,會由人體運動佈態分析絮 ^之中央處理H依據所接收之加速度位移執跡資料計算冰 传才曰疋運動部位之擺動振幅之間的對稱關係(步驟213)。 並且纟由人體運動佈態分析裝置之中央處理器依據所 接收之加速度位移執跡資料計算求得指定運動部位之加速 ^間的對㈣係、(步驟214),亦會由人體運動佈態分 ^置之中央處理器依據所接收之加速度位移軌跡資 運動部位之加速度位移軌跡資料所構成之加速 度位移圖形(步驟215)。 之指η人Γ動佈態分料置之中央處理器依據所求得 移圖开情運之加速度位移執跡資料所構成之加速度位 • ^運動者作人體運動佈態分析(步驟216)。 ^後由使用者按τ人體運動㈣ 之 理哭下一丄會由人體運動佈態分析裝置之中央處 至心、 令使同步信號產生器發射-同步停止信號 σ σ速度感測模組(步驟218), 代。’u 組就停止動作。 .,、、、後各加速度感測模 16 200842653 若運動者想建立各種不同運動速度校正的基準,則可 重複步驟205至步驟218 -次’且在步驟2〇7時,以與之 則不同的速度運動,例如此第二次是以中等速度運動。然 &可再重複步驟205至步驟218 一次,且此第三次在步驟 207時是以快速度運動。 舉凡热悉此技藝者皆能輕易得知,本發明人體運動佈 恶分析方法及其系統係可應用於各種運動動作或復健動作 • 之分析,例如網球運動中的手臂動作(正 '反拍,高、低 擊球等等)或腳步動作(前進、後退,左、右位移等等), 或如可應用於游泳運動中的手部動作和腳步動作,以及其 他各種運動(例如高爾夫球、桌球、棒球、羽球、籃球等 等)的動態姿態分析。 由以上之實施例可知,本發明所提供之人體運動佈態 =析方法及其系統確具產業上之利用價值,故本發明業已 符合於專利之要件。惟以上之敘述僅為本發明之較佳實施 • 魏明,凡精於此項技藝者當可依據上述之說明而作其它 種種之改良,惟這些改變仍屬於本發明之發明精神及以下 所界定之專利範圍中。 【圖式簡單說明】 ^ 1圖係傳統姿勢分析所使狀設備示意圖; 第2圖係本發明人體運動佈態分㈣統之較佳實施例中之 加速度感測模組配戴於—運動者之選定運動部位之 示意圖; 17 200842653 第圖係本發明較佳實施例中之加速度感測模組 之控制電 路圖; 第4圖係本發明較佳實施例中之人體運動佈態分析裝置之 控制電路圖; 第5圖係第2圖中之運動者所形成之—運動立體軌跡圖; 第6圖係本發明人體運動佈態分析方法之操作流程圖; 第7圖係本發明人體運動佈態分析方法之校正流程圖。 【主要元件符號說明】 1 a、1 b、1C 加速度感測模組 la’、lb’、lc’ 數位攝影機(1/1000秒) 10 同步信號接收器 l〇a,、10b,、10c, 肌電電極片 11 加速度感測器 11, 多孔類比至數位訊號轉換器 12 微處理器 12, 机電分析軟體 13 記憶單元 13, 遮球網 14 顯示單元 14, 數位照相機 15 辨識碼 15, 遮蓋單元 16 按鍵組 18 200842653The human body motion analysis device receives the acceleration and displacement module data, and transmits the acceleration displacement data of the human body. The central processing of the human body motion analysis is based on the received acceleration displacement. The data calculates a symmetrical relationship between the amplitudes of the swings of the ice-transmitting motion portions (step 213). And the central processor of the human body motion analysis device calculates the pair (four) system of the acceleration of the specified motion portion according to the received acceleration displacement trace data, (step 214), and is also determined by the human body motion state. The central processor sets an acceleration displacement pattern formed by the acceleration displacement trajectory data of the moving portion of the trajectory according to the received acceleration (step 215). The accumulating position formed by the central processor of the η Γ 布 分 分 依据 依据 依据 依据 依据 ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ After the user presses the human body movement (4), the next crying will be from the center of the human body motion analysis device to the heart, so that the synchronization signal generator emits - synchronous stop signal σ σ speed sensing module (step 218), generation. The 'u group stops acting. . , , , and subsequent acceleration sensing dies 16 200842653 If the athlete wants to establish various benchmarks for different motion speed corrections, step 205 to step 218 may be repeated - and 'in step 2 〇 7 to be different from The speed movement, for example this second time is at medium speed. Then, steps 205 to 218 may be repeated once more, and this third time is a rapid motion at step 207. Anyone who knows this skill can easily know that the human body motion analysis method and system of the present invention can be applied to various motion movements or rehabilitation exercises, such as arm movements in tennis (positive 'reverse shots) , high and low shots, etc.) or foot movements (forward, backward, left and right displacement, etc.), or as applicable to hand movements and foot movements in swimming, and various other sports (such as golf, Dynamic gesture analysis of billiards, baseball, badminton, basketball, etc.) It can be seen from the above embodiments that the human body motion distribution method and the system provided by the present invention have industrial utilization value, and therefore the present invention has met the requirements of the patent. However, the above description is only a preferred embodiment of the present invention. • Wei Ming, whoever is skilled in the art can make other improvements according to the above description, but these changes still belong to the inventive spirit of the present invention and are defined below. In the scope of patents. [Simple diagram of the figure] ^ 1 is a schematic diagram of the device for the traditional posture analysis; Figure 2 is the acceleration sensing module of the preferred embodiment of the body movement of the invention (4) for wearing - the athlete A schematic diagram of a selected motion portion; 17 200842653 is a control circuit diagram of an acceleration sensing module in a preferred embodiment of the present invention; and FIG. 4 is a control circuit diagram of a human motion cloth state analyzing device in a preferred embodiment of the present invention. Figure 5 is a motion stereoscopic trajectory formed by the athlete in Fig. 2; Fig. 6 is an operational flowchart of the human body motion analysis method of the present invention; and Fig. 7 is a human motion modal analysis method of the present invention Correction flow chart. [Main component symbol description] 1 a, 1 b, 1C acceleration sensing module la', lb', lc' digital camera (1/1000 second) 10 sync signal receiver l〇a, 10b, 10c, muscle Electrical electrode sheet 11 Acceleration sensor 11, porous analog to digital signal converter 12 Microprocessor 12, electromechanical analysis software 13 Memory unit 13, Cloud net 14 Display unit 14, Digital camera 15 Identification code 15, Cover unit 16 Button set 18 200842653
17 資料傳輸介面 18 無線發射器 19 計時器 2 人體運動佈態分析裝置 2, 數位攝影機(1/2500秒) 21 接收電路 22 中央處理器 23 辨識碼儲存單元 24 記憶單元 25 鍵盤單元 26 顯示單元 27 同步信號產生器 28 電子裝置連接介面 3、3a 運動者 3, 3D肢段分析軟體 4, 測力板 5, 連接單元 6, 類比至數位轉換器 7, 測力板分析軟體 8, 揮桿草皮 9, 分析軟體 A、B、C 運動曲線 1917 Data transmission interface 18 Wireless transmitter 19 Timer 2 Human motion analysis device 2, Digital camera (1/2500 seconds) 21 Receiving circuit 22 Central processing unit 23 Identification code storage unit 24 Memory unit 25 Keyboard unit 26 Display unit 27 Synchronization signal generator 28 Electronic device connection interface 3, 3a Athlete 3, 3D limb analysis software 4, Force plate 5, Connection unit 6, Analog to digital converter 7, Force plate analysis software 8, Swing turf 9 , analysis software A, B, C motion curve 19