200939137 九、發明說明： 【發明所屬之技術領域】‘ a本發明是有關於一種學習回饋系統及其方法，特 別疋指一種人體動作學習回饋系統及其方法。 【先前技術】 習知-學習者在學習—項運動時，例如羽球發球 ❹ Ο Γ乍，會反覆練習揮拍的動作，學習者須自行觀察本 身的動作是否正確，再慢慢調整。 此種學習方式的缺點是，學 学^者通常難以察覺動 作女勢的錯誤，使得學習者即使經過多 進步緩慢。 或是例如在揮拍動作中，學習者自覺應該修正手 腕的姿勢，但實際上卻應該修正腰部姿勢，才為更正 確=修正，因此在此種學習方式中，學習者無法正確 且有效地修正運動姿勢。 【發明内容】 因此’本發明之目的，即在提供—種可以正確且 效地修正動作姿勢的人體動作學習回績系統。 ▲本發明之另一目的，即在提供一種可以正確且有 效地修正動作姿勢的人體動作學習回饋方法。 於疋，本發明人體動作學習回饋系統是一 =分析裳置、至少-感測回饋裝置，及-暫時二;: 該比對分析裝置包括一中央處理單元、一儲存有 5 200939137 待比對資訊且電連接該中 電連接該中央處理單元的 顯示對應於待比對資訊， 像。 央處理單元的資料庫，及一 顯示單元。該顯示單元用於 且供一學習者模擬的運動影 該感測回饋裝罟空# ^ 装置穿戴於學習者的關節上，包括- 角度感測單元及一動作回#留— 、 Q饋早兀。該角度感測單元用 於感測學習者的關節於運 即瓦運動時的角度變化，且產生一200939137 IX. Description of the invention: [Technical field to which the invention pertains] ‘ a present invention relates to a learning feedback system and method thereof, and in particular to a human motion learning feedback system and method thereof. [Prior Art] Conventional-student learns the movement of the item, such as the badminton serve ❹ Ο Γ乍, and will repeatedly practice the swing action. The learner must observe whether the movement of the body is correct and adjust it slowly. The disadvantage of this type of learning is that it is often difficult for a learner to perceive the mistakes of the actress, making the learner slower even after much progress. Or, for example, in the swing action, the learner consciously should correct the posture of the wrist, but in fact, the waist posture should be corrected to be more correct = correction, so in this learning mode, the learner cannot correct and effectively correct Exercise posture. SUMMARY OF THE INVENTION Therefore, it is an object of the present invention to provide a human body action learning system that can correct an action posture correctly and effectively. Another object of the present invention is to provide a human motion learning feedback method that can correct an action posture correctly and effectively. In the present invention, the human motion learning feedback system of the present invention is an analysis skirt, at least a sensing feedback device, and a temporary two;: the comparison analysis device includes a central processing unit, and a storage has 5 200939137 to be compared information. And electrically connecting the display of the central processing unit to the central processing unit corresponds to the information to be compared, the image. A database of central processing units, and a display unit. The display unit is used for a motion simulation simulated by a learner, and the sensing feedback device is mounted on the learner's joint, including - an angle sensing unit and an action back #留-, Q feed early . The angle sensing unit is configured to sense an angle change of the learner's joint during the movement of the tile, and generate a
學習角度訊號。該動作回错 _ 和丨卜口饋早兀具有一貼設於學習者 肌膚的接觸式警示器。 該暫時處理裝置設置於學習者身上，包括一與該 角度感測單元電連接的角度訊號放大單元，及一與該 動作回饋單元電連接的回饋驅動單元。 該角度訊號放大單元用於放大該學習角度訊號， 並發送至該比對分析裝置的中央處理單元。該中央°處 理單元將該學習角度訊號與待比對資訊比對分析後， 可發送一回饋訊號至該回饋驅動單元，進而驅動該動 作回饋單元提醒學習者。 而該人體動作學習回饋方法是利用上述該人體動 作予s回饋系統來達成’是包含以下步驟： (a)製備一人體運動學習回饋系統，包含一比對 分析裝置、至少一感測回饋裝置及一暫時處理裝置。 該比對分析裝置包括一資料庫及一顯示單元。該感測 回饋裝置包括一角度感測單元及一運動回饋單元。 (b ) —學習者將該感測回饋裝置穿戴於關節處， 6 200939137 及將該感測回饋裝置的接觸式警示器 該暫時處理裝置穿戴於身上。 、膚，並將 (C)將對應於該比對分析裝置的資料 :資訊的運動影像’放映於該比對分析裝置的::: Ο ❹ 回饋=二觀看運動影像進行運動模擬，該感測 口饋裝置的肖度感測器感測學習者的關節 角度變化，產生-學習角度訊號。 €動時的 ⑴該暫時處理裝置接收該學習角度訊號 送至該比對分析裝置。 發 …⑺將該學習角度訊號與該資料庫中的 讯進打比對，並判斷是否發送一 、 理裝置。 口饋訊唬至該暫時處 ⑴該暫時處理I置接收該回饋訊號後，驅動該 感測回饋裝置中的接觸式警示器作動，提醒學習者。 本發明該人體動作學習回饋系統及其方2，是藉 由該角度感測單元感測學習者運動時的角度變化疋』 生該學習角度訊號後傳回該中央處理單元與待比對資 :做比對分析，若落於—正確範圍外，發送該回饋訊 號驅動該接觸式警W作動，即時提醒學習者，來達 成本發明的功效。 【實施方式】 有關本發明之前述及其他技術内容、特點與功效 在以下配合參考圖式之三個較佳實施例的詳細說明 200939137 中，將可清楚的呈現。 在本發明被詳細描述之前，要注意的是，在以下 的說明内容中，類似的元件是以相同的編號來表示。 參閱圖1,本發明一種人體動作學習回饋系統的一 較佳實施例包含一比對分析裝置丨、一學習衣2、至少 一感測回饋裝置3，及一暫時處理裝置4。 該比對分析裝置1包括一中央處理單元u、一儲 存有待比對資訊且電連接該中央處理單元u的資料庫 12、一電連接該中央處理單元u的顯示單元13、一電 連接該中央處理單元n的分析裝置無線發射單元Η， 及-電連接該中央處理單元u的分析裝置無線接收單 元15 〇 該顯示單元13用於顯示對應於待比對資訊，且供 一學習者A模擬的運動影像。 八 參閱圖1與圖2,該學習衣2供學習者a穿戴，且 供該感測回饋裝置3設置。 在本較佳實施例中，該人體動作學習回饋系統的 感測回饋裝置3的數目為十四，安裝於該學習衣2上 ，學習者A穿戴該學習衣2時，該等感測回饋裝置· 3 穿戴於學習者A關節上，分別鄰近學習者A的_頸部 腰部一肩部、一肘部、二腕一部、二媒部、二膝 部及二踝部。 參閱圖1與圖3，該等感測回饋裝置3分別包括一 角度感測單元3 1及一動作回讀單元32。 8 200939137 該等角度感測單元31用於感測學習者A在模擬該 顯不單元13中的運動影像時，學習者a關節的角度變 化，且分別產生一學習角度訊號。 其中，位於該頸部、該腰部、該等肩部及該等髖 部的角度感測單元31能分別感測三個自由度，產生（ Δθχ，Δθ” Αθζ)的學習角度訊號。而其餘位於該等肘部 、該等腕部、該等膝部及該等踝部的角度感測單元31 ❹ 能分別感測一個自由度，產生ΔΘ的學習角度訊號。 該動作回饋單元32具有一貼設於學習者a肌膚的 接觸式警不321 ’及一光警示器322。 在本較佳實施例中，該接觸式警示器321為一能 產生振動的振動器。該接觸式警示器321也可為能產 生弱電脈衝刺激的電刺激器。 參閱圖1與圖2,該暫時處理裝置4設置於學習者 A身上，包括一控制單兀41、一與該控制單元41電連 〇 接的角度訊號放大單元42、一與該控制單元41電連接 ㈣饋驅動單元43、—與該控制單元41電連接的暫時 裝置無線發射單元44,及—與該控制單元41電連接的 暫時裝置無線接收單元45。 參閱圖3 ’該角度訊號放大單元42與該角度感測 單元31電連接，用於放大該等學習角度訊號。該回饋 驅動單元43與該動作回饋單元32電連接，用於驅動 該動作回饋單元32振動。 參閱圖1與圖4’該比對分析裝置丨的巾央處理單 200939137 中讀取對應待比對資訊的運動影像 元13供學習者a模擬。 元11自該資料庫j 2 ’並傳送至該顯示單 ::者A模擬運動影像的同時，該等感測回饋裝 置：的角度感測單元31感測學習者八關節的角度變化 ，產生該等學習角度訊號。Learning angle signal. The action is wrong _ and 丨 口 馈 兀 has a contact type warning attached to the learner's skin. The temporary processing device is disposed on the learner, and includes an angle signal amplifying unit electrically connected to the angle sensing unit, and a feedback driving unit electrically connected to the action feedback unit. The angle signal amplifying unit is configured to amplify the learning angle signal and send the signal to the central processing unit of the comparison analysis device. After the central processing unit compares the learning angle signal with the to-be-matched information, a feedback signal can be sent to the feedback driving unit, thereby driving the action feedback unit to remind the learner. The human motion learning feedback method utilizes the human body motion to the s feedback system to achieve the following steps: (a) preparing a human motion learning feedback system, comprising a comparison analysis device, at least one sensing feedback device, and A temporary processing device. The comparison analysis device includes a database and a display unit. The sensing feedback device includes an angle sensing unit and a motion feedback unit. (b) - the learner wears the sensing feedback device at the joint, 6 200939137 and the contact type alerting device of the sensing feedback device. The temporary processing device is worn on the body. And skin (C) will correspond to the data of the comparison analysis device: the motion image of the information is projected on the comparison analysis device::: Ο ❹ feedback = two viewing motion images for motion simulation, the sensing The Xiaodu sensor of the mouth-feeding device senses the change in the joint angle of the learner and generates a learning angle signal. (1) The temporary processing device receives the learning angle signal and sends it to the comparison analysis device. Send (7) compare the learning angle signal with the incoming message in the database, and determine whether to send a device. The mouth feed is sent to the temporary location. (1) After the temporary processing I receives the feedback signal, the contact type warning device in the sensing feedback device is driven to remind the learner. The human motion learning feedback system and the method 2 thereof are characterized in that the angle sensing unit senses an angle change when the learner moves, and then returns the learning angle signal to the central processing unit and the waiting ratio: For comparison analysis, if it falls within the correct range, sending the feedback signal drives the contact police to act, promptly reminding the learner to achieve the effect of the present invention. The above and other technical contents, features and effects of the present invention will be apparent from the following detailed description of the three preferred embodiments of the present invention. Before the present invention is described in detail, it is noted that in the following description, like elements are denoted by the same reference numerals. Referring to Figure 1, a preferred embodiment of a human motion learning feedback system of the present invention comprises a comparison analysis device, a learning garment 2, at least one sensing feedback device 3, and a temporary processing device 4. The comparison analysis device 1 includes a central processing unit u, a database 12 storing the information to be compared and electrically connected to the central processing unit u, a display unit 13 electrically connected to the central processing unit u, and an electrical connection to the central unit. The analyzing device wireless transmitting unit 处理 of the processing unit n, and the analyzing device wireless receiving unit 15 electrically connected to the central processing unit u, the display unit 13 is configured to display the information corresponding to the to-be-matched information, and is simulated by a learner A Motion picture. 8 Referring to Figures 1 and 2, the learning garment 2 is worn by the learner a and provided for the sensing feedback device 3. In the preferred embodiment, the number of the sensing feedback devices 3 of the human motion learning feedback system is fourteen, which is installed on the learning clothes 2, and when the learner A wears the learning clothes 2, the sensing feedback devices · 3 Wear on the A joint of the learner, adjacent to the shoulder of the learner A's neck, one elbow, one elbow, one wrist, two media, two knees and two. Referring to FIG. 1 and FIG. 3, the sensing feedback devices 3 respectively include an angle sensing unit 31 and an action reading unit 32. 8 200939137 The angle sensing unit 31 is configured to sense the angle change of the learner a joint when the learner A simulates the motion image in the display unit 13, and respectively generate a learning angle signal. Wherein, the angle sensing unit 31 located at the neck, the waist, the shoulders and the hips can sense three degrees of freedom, respectively, and generate a learning angle signal of (Δθχ, Δθ" Α θ ζ). The elbows, the wrists, the knees, and the angle sensing units 31 of the crotch portions can respectively sense a degree of freedom to generate a learning angle signal of ΔΘ. The action feedback unit 32 has a affixing In the preferred embodiment, the contact type alert 321 is a vibrator capable of generating vibration. The contact type alert 321 can also be used as a vibrator for generating vibration. The electric stimulator is capable of generating a weak electric pulse stimuli. Referring to FIG. 1 and FIG. 2, the temporary processing device 4 is disposed on the learner A, and includes a control unit 41 and an angle signal electrically connected to the control unit 41. The amplifying unit 42 is electrically connected to the control unit 41. (4) the feed driving unit 43, the temporary device wireless transmitting unit 44 electrically connected to the control unit 41, and the temporary device wireless receiving unit 45 electrically connected to the control unit 41. See Figure 3 The angle signal amplifying unit 42 is electrically connected to the angle sensing unit 31 for amplifying the learning angle signals. The feedback driving unit 43 is electrically connected to the motion feedback unit 32 for driving the motion feedback unit 32 to vibrate. Referring to FIG. 1 and FIG. 4', the moving image element 13 corresponding to the information to be compared is read in the towel processing unit 200939137 of the comparison analyzing device for the learner a to simulate. The element 11 is transmitted from the database j 2 ' to The display sheet: the person A simulates the motion image, and the angle sensing unit 31 of the sensing feedback device senses the angle change of the learner's eight joints, and generates the learning angle signals.
該等學S角度訊號由該等感測回饋裝置3的角度 =單元3卜傳送到該暫時處理裝置4的角度訊號放 早7L 42。該角度訊號放大單元42用於放大該等學習 角度訊號，並發送至該比對分析裝置丨的中央處理單 該中央處理單元U將該等學習角度訊號與待比對 資訊比對分析後，發送1讀訊號至該暫時處理裝置* 的回饋驅動單A 43,進而驅動位於應修正姿勢的關節 的該等感測回饋裝置3的動作回饋單S 32作動，即時 地提醒學習者A。 值付-提的{’在本較佳實施例_，該人體動作 學習回饋系統的感測回饋裝i 3可視運每的不同而調 整’數目也可為一至十三，僅安裝於部分關節，數目 也可大於十四。該人體動作學習回饋系統也可僅包括 一感測回饋裝置3。 該資料庫12中待比對資訊的建立，與供學習者a 臨摹運動影像的產生，在了解本發明一種人體動作學 習回饋方法後，當可更加清楚地明白。 參閱圖1與圖5’本發明一種人體動作學習回饋方 10 200939137 法的第一較佳實施例是包含下列步驟： —步驟5 :製備該人體運動學習回饋系統。 —步驟6 :設定動作摸式，且由一示範者示範動作 ’產生複數示範角度訊號。 參閱圖1與圖6，該步驟6還包括下列步驟： —步驟61 :設定動作模式，例如設定羽球殺球運 動模式。 Ο ^ —步驟62 :示範者穿著該學習衣2 ,並根據所設 定的動作模式示範動作。 —步驟63 :利用位於該學習衣2上的該等感測回 饋裝置3的角度感測單元31，擷取示範者運動時的角 度變化，並分別產生一示範角度訊號。 …例如在羽球殺球模式中，位於右手肘的角度感測 單7L 31產生示範角度訊號八㊀為I%度。 其中，該等示範角度訊號會隨運動速度的快慢而 文變因此’在本較佳實施例中，動作模式的設定也 包括了運動快慢的選擇。The angle signals of the learning S are transmitted by the angle of the sensing feedback device 3 = the angle signal transmitted by the unit 3 to the temporary processing device 4 is 7L 42 early. The angle signal amplifying unit 42 is configured to amplify the learning angle signals and send them to the central processing unit of the comparison analysis device, and the central processing unit U compares the learning angle signals with the to-be-matched information, and then sends the signals. The read feedback drive A A 43, which reads the signal to the temporary processing device*, drives the operation feedback sheet S32 of the sensing feedback device 3 located in the joint to be corrected, and promptly reminds the learner A. In the preferred embodiment, the sensing feedback device of the human motion learning feedback system is adjusted to be one to thirteen, and is only installed in a part of the joint. The number can also be greater than fourteen. The human motion learning feedback system may also include only one sensing feedback device 3. The establishment of the information to be compared in the database 12, and the generation of the motion image for the learner a, can be more clearly understood after understanding the human body learning feedback method of the present invention. Referring to Figures 1 and 5', a first embodiment of the human motion learning feedback method of the present invention comprises the following steps: - Step 5: Preparing the human motion learning feedback system. - Step 6: Set the action mode and generate a complex demonstration angle signal by a demonstrative action '. Referring to Figures 1 and 6, the step 6 further includes the following steps: - Step 61: Set the action mode, for example, set the badminton sport mode. Ο ^ - Step 62: The demonstrator wears the learning suit 2 and demonstrates the action according to the set action mode. - Step 63: Using the angle sensing unit 31 of the sensing feedback devices 3 located on the learning garment 2, the angle changes during the movement of the demonstrator are captured, and an exemplary angle signal is generated, respectively. ... For example, in the badminton kill mode, the angle sensing 7L 31 on the right elbow produces a demonstration angle signal of 1%. Wherein, the exemplary angle signals may vary with the speed of the motion. Therefore, in the preferred embodiment, the setting of the motion mode also includes the selection of the motion speed.
% f月度墩測單元 訊號傳送至該暫時處理裝I4 早元31將該等示範角度 ’經過該角度訊號放大單 11 200939137 元，無線傳輸至該比對分析裝置卜 的動:Γ6:該㈣分析裝置"請是否與原設定 、式相符’若不相符則回到該步驟62。 =合原設定的動作模式，則進入一步驟〇，將 ^角度訊號建立於該資料庫12中，形成待比對 貝後，結束該步驟6。% f monthly measurement unit signal is transmitted to the temporary processing unit I4 early 31. The demonstration angle 'is amplified by the angle signal 11 11 39 39 yuan, wirelessly transmitted to the comparison analysis device Bu: Γ 6: (4) analysis Device " Please match the original setting, the formula 'If it does not match, then return to step 62. If the action mode set in the original mode is entered, the process proceeds to a step 〇, and the ^ angle signal is established in the database 12 to form a to-be-matched pair, and the step 6 is ended.
▲參閱圖1與圖5，接著在訓練學習者A的-步驟9 ’首先是一步驟7:學習者a穿戴該學習衣2、該等 __裝置3與㈣時處理裝置4 ’並確認該等感測 回饋裝置3皆位於相對應的關節處。 -穸驟8:設定在該動作模式中欲感測的關節運動 角度的-正確範圍’及一錯誤範圍，並將對應於待比 對資訊的運動影像，放映於該顯示單元13。 在本較佳實施例中，該正確範圍允許的誤差角度 範圍為正10度到負10度内，該錯誤範圍為誤差角度 超過10度。 例如在羽球殺球運動模式中，右手肘的Αθ=15〇。， 則正確範圍為140。到160。。 在該步驟9中，包括下列步驟： 一步驟91:學習者Α模擬放映於該顯示單元13的 運動影像’该等角度感測早元3 1此時偵測學習者a關 節的角度變化’所產生的該等學習角度訊號藉由該角 度sfl號放大單元42放大後，無線傳輸到該比對分析裝 置1。 12 200939137 的中央處理單元11 12中的待比對資訊 一步驟9 2 . s玄比對分析裝置1 將該等學習角度訊號，與該資料庫 比對分析。 在一步驟93中，由該中央處理單元11判斷學習者 A關節的該等學習角度訊號是否落於該正確範圍。 -步驟94:若落於該錯誤範圍内，則發送一回饋 ❹▲ Referring to Figures 1 and 5, then in the training of learner A - step 9 ' is first a step 7: learner a wears the learning clothes 2, the __ device 3 and (4) processing device 4 ' and confirms the The sensing feedback devices 3 are all located at the corresponding joints. - Step 8: setting the -correct range of the joint motion angle to be sensed in the motion mode and an error range, and projecting the motion image corresponding to the information to be compared to the display unit 13. In the preferred embodiment, the correct range allows for an error angle ranging from plus 10 degrees to minus 10 degrees, the error range being an error angle exceeding 10 degrees. For example, in the badminton killing mode, 右θ=15〇 of the right elbow. , the correct range is 140. To 160. . In the step 9, the following steps are included: a step 91: the learner Α simulates the motion image displayed on the display unit 13 'the angle detection early element 3 1 at this time detects the angle change of the learner a joint' The generated learning angle signals are amplified by the angle sfl number amplifying unit 42 and wirelessly transmitted to the comparison analysis device 1. 12 The comparison information in the central processing unit 11 12 of 200939137 is a step 9 2 . The sinus comparison analysis device 1 compares the learning angle signals with the database. In a step 93, the central processing unit 11 determines whether the learning angle signals of the learner A joint fall within the correct range. - Step 94: If it falls within the error range, send a feedback ❹
訊號，由該比對分析裝i 1無線傳輸至該暫時處理器 中的回饋驅動單元43。 一㈣95 : #回饋驅動單以3將該回饋訊號送至 該等動作回饋單元32，驅動該等接觸式警示器321作 動’提醒學習者A，同時該等光警示器322會對應地亮 起，供-訓練者（例如：教練）確認該回饋訊號是否 已送至正確的關節位置。 學習者A經提醒校正姿勢後，回至該步驟91，重 新模擬運動影像，直至關節動作落於該疋確範圍内。 參閱圖1與圖7,本發明一種人體動作學習回饋方 法的第二較佳實施例的實施流程大致相同，不同之處 在於本較佳實施例中，是利用最佳化人體動作模型， 建立該資料庫12中的待比對資訊，與產生運動影像。 步驟6,：利用最佳化人體動作模型，建立待比 對育訊及最佳運動影像於該資料庫12中。 參閱圖1與圖8，該步驟6,包括下列步驟：首先， v驟61中，3又疋最佳化人體動作模型的動作模式 ，及在—步驟62,中，設定對應的時間參數與邊界條件 13 200939137 參數。例如在羽球殺球的動作模式中，時間參數為t秒 ，起始的邊界條件參數，即運動起始時的位置與角速 度為（Xi，yi ’ Zi ; ωχί，〇)yi，t〇zi)。 Ο Ο 一步驟63’：將時时數與邊界條件參數代入最佳 化人體動作模型後，進行最佳動作控制運算，進而得 到最佳化的待比對資訊，例如運動終止時的位置與角 速度為（Xt ’ yt ’ Zt ’ ωχί ’ ω”，〜），並且產生相對應 的最佳運動影像。該最佳動作控制運算是熟悉此項技 術人士可輕易達成，在此不再詳細說明，相關說明也 可參考邱靖華所著，，最佳化人體動作學（ of Human Motions) ”的第 4-17 頁。 一步驟64’：將待比對資訊與運動影像建立於該資 料庫12中。重複該步驟6，來建立不同動作模式的待比 對資訊與運動影像。 綜上所述，藉由該角度感測單元感測學習者A運 2時的角度變化，產生該學習角度訊號後傳回該中央 理單元與待比對資訊做比對分析，若落於—正確範 〒外’發送該回饋訊號至該接觸式警示器作動，即時 ，，學習者A ’使學習者A得以正確地修正姿勢，且 提兩了學習者A進步的速度，故確實能達成本發明之 目的。 杏准以上所述者，僅為本發明之較佳實施例而已， 主月b以此限定本發明實施之範圍，即大凡依本發明 專利範圍及發明說明内容所作之簡單的等效變化 14 200939137 與修飾’皆仍屬本發明專利涵蓋之範圍内。 【圖式簡單說明】 ® is—方塊圖，說明本發明人體動作學習回饋 系統的一較佳實施例； 圖2是一使用示意圖，說明本較佳實施例的一學 習衣穿戴於一學習者； - 圖3是一示意圖，說明本較佳實施例的一暫時處 〇 自裝置與其中-感測回饋裝置的連接關係； 圖4疋操作示意圖，說明本較佳實施例的學習 者進行模擬動作； 圖5疋一流程圖，說明本發明人體動作學習回饋 方法的—第一較佳實施例； , 圖6疋一流程圖，說明該第一較佳實施例的建立 待比對資訊的步驟； 圖7疋一流程圖’說明本發明人體動作學習 © 方法的—坌β 謂 第一較佳實施例；及 _ 圖 Β , 疋流程圖’說明該第二較佳.實施例的建立 待比對資訊的步驟。 15 200939137 【主要元件符號說明】 1 ..........比對分析裝置 11 ........中央處理單元 12 ........資料庫 13 ........顯示單元 14 ........分析裝置無線發射單元 15 ........分析裝置無線接收單元 16 ........攝影單元The signal is wirelessly transmitted by the comparison analysis device i 1 to the feedback drive unit 43 in the temporary processor. One (four) 95: #回回驱动单3, the feedback signal is sent to the action feedback unit 32, and the contact type alarm 321 is driven to act to remind the learner A that the light alarm 322 is correspondingly illuminated. The trainer (eg, coach) confirms whether the feedback signal has been sent to the correct joint position. After the learner A has corrected the posture, he returns to the step 91 to re-simulate the motion image until the joint motion falls within the exact range. Referring to FIG. 1 and FIG. 7 , the implementation process of the second preferred embodiment of the human body motion learning feedback method of the present invention is substantially the same, except that in the preferred embodiment, the human body motion model is optimized. The information to be compared in the database 12 is generated and the moving image is generated. Step 6: Using the optimized human motion model to establish a comparison and the best motion image in the database 12. Referring to FIG. 1 and FIG. 8, the step 6 includes the following steps: First, in step 61, 3 optimizes the action mode of the human motion model, and in step 62, sets the corresponding time parameter and boundary. Condition 13 200939137 Parameters. For example, in the action mode of badminton killing, the time parameter is t seconds, and the initial boundary condition parameter, that is, the position and angular velocity at the start of the motion is (Xi, yi ' Zi ; ω χ ί, 〇) yi, t〇zi) . Ο Ο One step 63': After substituting the hour and boundary condition parameters into the optimized human motion model, the optimal motion control operation is performed to obtain optimized comparison information, such as position and angular velocity at the end of motion It is (Xt ' yt ' Zt ' ωχί ' ω", ~), and produces the corresponding optimal motion image. The best motion control operation is easily achieved by those skilled in the art, and will not be described in detail here. For instructions, please refer to pages 4-17 of Qiu Jinghua's book, "Optimizing Human Motions". A step 64': the to-be-matched information and the motion image are built in the database 12. Repeat step 6 to establish the comparison of information and motion images for different motion modes. In summary, the angle sensing unit senses the angle change of the learner A when the second angle is generated, and generates the learning angle signal, and then returns the central management unit to the comparative information for comparison analysis. Correctly, 'send the feedback signal to the contact type alert, and immediately, learner A' enables learner A to correct the posture correctly, and raises the speed of learner A's progress, so it is possible to achieve this. The purpose of the invention. The above is only the preferred embodiment of the present invention, and the main month b defines the scope of the practice of the present invention, that is, the simple equivalent change made according to the scope of the invention and the description of the invention 14 200939137 And the modifications are still within the scope of the invention patent. BRIEF DESCRIPTION OF THE DRAWINGS A is a block diagram illustrating a preferred embodiment of the human motion learning feedback system of the present invention; FIG. 2 is a schematic diagram illustrating the use of a learning garment of the preferred embodiment in a learner; - Figure 3 is a schematic diagram showing the connection relationship between a temporary device and a sensing device in the preferred embodiment; Figure 4 is a schematic view of the operation of the learner of the preferred embodiment; FIG. 5 is a flow chart illustrating a first preferred embodiment of the human motion learning feedback method of the present invention; FIG. 6 is a flow chart showing the steps of establishing the information to be compared in the first preferred embodiment; 7. The flow chart 'illustrating the human motion learning method of the present invention - 坌β is the first preferred embodiment; and _ Figure Β, 疋 Flowchart' illustrates the establishment of the second preferred embodiment. A step of. 15 200939137 [Description of main component symbols] 1 ..........Comparative analysis device 11 ........Central processing unit 12 ........Data library 13 ... ..... display unit 14 ..... analysis device wireless transmitting unit 15 ..... analysis device wireless receiving unit 16 ........ photography unit
2 ..........學習衣 3 ..........感測回饋裝置 31 ........角度感測單元 32 ........動作回饋單元 321 .......接觸式警示器 322 .......光警示器 4 ..........暫時處理裝置 41 ........控制單元 42 ........角度訊號放大單元 43 ........回饋驅動單元 44 ........暫時裝置無線發射單元 45 ........暫時裝置無線接收單元 5 ..........步驟 6 ..........步驟 61 ........步驟 62 ........步驟 16 200939137 Ο 63 64 65 66 67 6,. 61， 62, 63, 64, 7 ·. 8 ·· 9.. 91 92 93 94 95 A . 步驟 步驟 步驟 步驟 步驟 步驟 步驟 步驟 步驟 步驟 步驟 步驟 步驟 步驟 步驟 步驟 步驟 步驟 學習者 172 .......... Learning clothes 3 ..... Sensing feedback device 31 ........ Angle sensing unit 32 ........ Action feedback unit 321 . . . contact type alert 322 . . . light warning device 4 ..... temporary processing device 41 ........ control Unit 42 . . . angle signal amplifying unit 43 ........ feedback drive unit 44 ........ temporary device wireless transmitting unit 45 ........ temporarily Device Wireless Receiving Unit 5 ..... Step 6 ..........Step 61 ........Step 62 ........Step 16 200939137 Ο 63 64 65 66 67 6,. 61, 62, 63, 64, 7 ·. 8 ·· 9.. 91 92 93 94 95 A . Steps Steps Steps Steps Steps Steps Steps Steps Steps Steps Steps Steps Steps Steps Step learner 17