TWI622968B - System and method for monitoring brain wave monitoring and learning effect - Google Patents
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Abstract
本發明提供一種腦波監測評估學習效果的系統,係包括:一腦波擷取模組係用以擷取至少一使用者的一腦波資訊,並藉由一第一傳輸模組將該腦波資訊傳輸並儲存於一第一儲存模組;一動作擷取模組係用以擷取該至少一使用者的一動作資訊,並藉由一第二傳輸模組將該動作資訊傳輸並儲存於一第二儲存模組;一統計分析模組係讀取該第一儲存模組的該腦波資訊以及該第二儲存模組的該動作資訊,而產生一統計分析資訊;一網路視訊擷取模組係擷取至少一教學影像,並透過至少一網路傳輸該至少一教學影像到一雲端伺服器;一資訊顯示模組係接收該統計分析模組產生之該統計分析資訊以及該雲端伺服器的該至少一教學影像。本發明復包括操作所述腦波監測評估學習效果的系統的方法。 The invention provides a system for monitoring and evaluating the learning effect of the brain wave, comprising: a brain wave capturing module for capturing brain wave information of at least one user, and the brain is used by a first transmission module The information is transmitted and stored in a first storage module; an action capture module is configured to capture an action information of the at least one user, and transmit and store the action information by using a second transfer module a second storage module; a statistical analysis module reads the brain wave information of the first storage module and the motion information of the second storage module to generate a statistical analysis information; a network video message The capture module captures at least one teaching image and transmits the at least one teaching image to a cloud server through at least one network; an information display module receives the statistical analysis information generated by the statistical analysis module and the The at least one teaching image of the cloud server. The present invention includes a method of operating a system for monitoring brain wave monitoring and evaluating learning effects.
Description
本發明涉及一種評估學習效果的系統及方法,尤指一種透過腦機介面與人機介面一併分析來達到評估學習效果的系統及方法。The present invention relates to a system and method for evaluating learning effects, and more particularly to a system and method for assessing learning effects through analysis of a brain-computer interface and a human-machine interface.
請參閱中華民國專利公報之發明公告/公開號200718007「互動式腦波學習裝置」中,所揭露之習知技術,係為提供一種互動式腦波學習裝置,你包括:一學習資料發聲聲源;一腦波發聲聲源,腦波發聲聲源在學習資料發聲聲源發出聲音訊號之同時發出腦波聲音;以及一聲音訊號偵測模組,其一端與所述學習資料發聲聲源相連,另一端與所述腦波發聲聲源相連,像用以在偵測到所述學習資料發聲聲源發出之聲音訊號產生變化時控制調整所述腦波發聲聲源輸出之腦波發聲音量。前述之習知技術旨在提出一種結合腦波功能之學習裝置,以簡單可行之實現方法來構造一種學習環境, 此環境包含腦波發聲之功能,並在學習進行中根據實際需要改變腦波發聲聲源所發出腦波音量,使腦波功能合理充分發揮作用,以達到良好之學習效果。Please refer to the invention announcement of the Republic of China Patent Publication No. 200718007 "Interactive Brainwave Learning Device", which discloses an interactive brainwave learning device, which includes: a learning material sound source a brain wave sound source, the brain wave sound source emits a brain wave sound while the learning data sound source emits an audio signal; and an audio signal detecting module, one end of which is connected to the learning data sound source, The other end is connected to the brain wave sound source, and is configured to control the amount of brain wave sound outputted by the brain wave sound source when the sound signal emitted by the sound source is detected to be changed. The foregoing prior art aims to propose a learning device combining brain wave function, and constructing a learning environment by a simple and feasible implementation method, which includes the function of brain wave sounding, and changes the brain wave sound according to actual needs during learning. The volume of brain waves emitted by the sound source makes the brain wave function reasonably and fully function to achieve a good learning effect.
請參閱中華民國專利公報之新型公告/公開號M417900Ul「行動式精神專注力監控系統」中,所揭露之習知技術,係為提供一種行動式精神專注力監控系統包含數個行動式腦波偵測裝置、數個第一無線傳輸棋組、一監控中心及一第二無線傳輸棋組。該行動式腦波偵測裝置用以偵測及收集一受測對象之腦波資料,該第一無線傳輸棋組設置於該行動式腦波偵測裝置內,且該第一無線傳輸棋組用以傳輸該受測對象之腦波資料。該監控中心用以監控該行動式腦波偵測裝置,該第二無線傳輸棋組設置於該監控中心,且該第二無線傳輸棋組用以接收該行動式腦波偵測裝置之腦波資料。在該行動式腦波偵測裝置偵測腦波資料後,利用該第一無線傳輸棋組傳輸至該監控中心。 Please refer to the New Bulletin of the Republic of China Patent Bulletin/Publication No. M417900Ul "Operating Spiritual Attention Monitoring System", which discloses a technique for providing a kind of action-oriented mental concentration monitoring system including several mobile brainwave detection systems. The measuring device, the plurality of first wireless transmission chess sets, a monitoring center and a second wireless transmission chess set. The mobile brain wave detecting device is configured to detect and collect brain wave data of a test object, wherein the first wireless transmission chess set is disposed in the mobile brain wave detecting device, and the first wireless transmission chess set Used to transmit brain wave data of the subject. The monitoring center is configured to monitor the mobile brain wave detecting device, the second wireless transmission chess set is disposed in the monitoring center, and the second wireless transmission chess set is configured to receive the brain wave of the mobile brain wave detecting device data. After the mobile brain wave detecting device detects the brain wave data, the first wireless transmission chess set is transmitted to the monitoring center.
請參閱中華民國專利公報之發明公告/公開號TW 201306801 A1「精神狀態監控及警示方法及其裝置」中,所揭露之習知技術,係為提供一種精神狀態監控及警示裝置包含一計算單元、一腦波偵測單元、一記憶體單元、一傳輸單元及一警示單元。該精神狀態監控及警示方法包含:利用該腦波偵測單元於一受測對象進行偵測收集數個腦波資料;利用該計算單元擷取該腦波資料;利用該計算單元計算該腦波資料,並判斷精神狀態是否正常;及當判斷精神狀態正常時,利用該傳輸單元將該腦波資料傳輸至一監控中心,以便建立一腦波資料檔;當判斷精神狀態不正常時,利用該傳輸單元將該腦波資料傳輸至該監控中心,並傳輸一警示訊號。 In the invention of the Chinese Patent Publication No. TW 201306801 A1, "Psychiatric Status Monitoring and Warning Method and Apparatus", the prior art disclosed is a mental state monitoring and warning device comprising a computing unit, A brain wave detecting unit, a memory unit, a transmitting unit and a warning unit. The mental state monitoring and warning method comprises: using the brain wave detecting unit to detect and collect a plurality of brain wave data in a test object; using the calculating unit to extract the brain wave data; and calculating the brain wave by using the calculating unit Data, and determine whether the mental state is normal; and when the mental state is normal, the brain wave data is transmitted to a monitoring center by the transmission unit to establish an brain wave data file; when the mental state is abnormal, the The transmission unit transmits the brain wave data to the monitoring center and transmits a warning signal.
請參閱中華民國專利公報之發明公告/公開號TW 201100148 A1「色彩音樂記憶遊戲方法與系統」中,所揭露之習知技術,係為提供一種色彩音樂記憶遊戲方法與系統,包含:一主機,係可輸出其α波之音樂,安裝有一色彩音樂記憶遊戲;一顯示器,條與主機連接,以顯示色彩音樂記憶遊戲;一輸出裝置,係與主機連接,以輸出其α波之音樂,該α波之音樂得、隨著色彩音樂記憶遊戲而變化;本發明應用心理學各領域研究成果,透過音樂暗示、視覺及聲音刺激使用者腦部,讓使用者的腦波處在α波的狀態,使學習不再充滿壓力、枯燥無味,以達到寓教於樂之效果。 Please refer to the invention of the Republic of China Patent Publication No. TW 201100148 A1 "Color Music Memory Game Method and System", which discloses a method and system for color music memory game, comprising: a host, It can output the music of its alpha wave, install a color music memory game; a display, the bar is connected with the host to display the color music memory game; an output device is connected with the host to output the music of the alpha wave, the alpha The music of the wave changes with the color music memory game; the invention applies the research results in various fields of psychology, stimulating the user's brain through music suggestion, vision and sound, so that the user's brain wave is in the state of the alpha wave, Make learning no longer full of stress, boring, and so on, in order to achieve the effect of teaching and learning.
然而,前述現有技術之內容皆未揭示一併運用一腦機介面以及一人機介面,並透過相互比較其所產生之資訊的相似性與差異性進行統計分析,用以獲得關於使用者學習時的專注程度、理解程度、壓力以及放鬆狀態之其中至少一者的學習狀態相關資訊,現有技術不容易準確地評價教師的教學效率以及學生的學習效率。However, none of the foregoing prior art discloses that a brain-computer interface and a human-machine interface are used together, and statistical analysis is performed by comparing the similarity and difference of information generated by each other to obtain information about the user's learning. The learning state related information of at least one of the degree of concentration, the degree of understanding, the stress, and the state of relaxation, the prior art is not easy to accurately evaluate the teaching efficiency of the teacher and the learning efficiency of the student.
因此,本發明係提出一種腦波監測評估學習效果的系統及其方法,其可一併運用一腦機介面以及一人機介面,並透過相互比較其所產生之資訊的相似性與差異性進行統計分析,用以能夠達到準確評價教師的教學效率以及學生的學習效率的目的。Therefore, the present invention provides a system for brain wave monitoring and evaluation of learning effects and a method thereof, which can use a brain-computer interface and a human-machine interface together, and perform statistics by comparing the similarity and difference of information generated by each other. Analysis, in order to achieve the purpose of accurately evaluating the teaching efficiency of teachers and the efficiency of students' learning.
鑒於前述之習知技術的缺點,本發明之主要目的係提出一種腦波監測評估學習效果的系統,其可一併運用一腦機介面以及一人機介面,並透過相互比較其所產生之資訊的相似性與差異性進行統計分析,用以獲得關於使用者學習時的專注程度、理解程度、壓力以及放鬆狀態之其中至少一者的學習狀態相關資訊,進而能夠達到準確評價教師的教學效率以及學生的學習效率的目的。In view of the above-mentioned shortcomings of the prior art, the main object of the present invention is to provide a system for brain wave monitoring and evaluation of learning effects, which can use a brain-computer interface and a human-machine interface together, and compare the information generated by each other. Statistical analysis of similarity and difference is used to obtain information about the learning state of at least one of the degree of concentration, understanding, stress, and relaxation of the user during learning, thereby enabling accurate evaluation of the teaching efficiency of the teacher and the student. The purpose of learning efficiency.
為了達到前述之主要目的,本發明之腦波監測評估學習效果的系統係包括:一腦機互動模組,係包括一腦波擷取模組、一第一傳輸模組以及一第一儲存模組,其中,該腦波擷取模組係用以擷取至少一使用者的一腦波資訊,並藉由該第一傳輸模組將該腦波資訊傳輸並儲存於該第一儲存模組;一人機互動模組,係包括一動作擷取模組、一第二傳輸模組以及一第二儲存模組,其中,該動作擷取模組係用以擷取該至少一使用者的一動作資訊,並藉由該第二傳輸模組將該動作資訊傳輸並儲存於該第二儲存模組;一統計分析模組,係讀取該第一儲存模組的該腦波資訊以及該第二儲存模組的該動作資訊,而產生一統計分析資訊;一網路視訊擷取模組,係擷取至少一教學影像,並透過至少一網路傳輸該至少一教學影像到一雲端伺服器;一資訊顯示模組,係接收該統計分析模組產生之該統計分析資訊以及該雲端伺服器的該至少一教學影像,並顯示給該至少一使用者;其中,該統計分析模組係比對該腦波資訊以及該動作資訊的相似性與相異性,該腦波資訊以及該動作資訊係關於該至少一使用者的至少一學習狀態,包括該至少一使用者的專注程度、理解程度、壓力以及放鬆狀態之其中至少一者。In order to achieve the above-mentioned main purpose, the system for monitoring the learning effect of the brainwave monitoring of the present invention comprises: a brain-computer interaction module, comprising a brain wave capturing module, a first transmission module and a first storage module. The brain wave capture module is configured to capture at least one brain wave information of the user, and transmit and store the brain wave information in the first storage module by using the first transmission module A human-machine interaction module includes an action capture module, a second transmission module, and a second storage module, wherein the action capture module is configured to capture one of the at least one user The action information is transmitted and stored in the second storage module by the second transmission module; a statistical analysis module reads the brain wave information of the first storage module and the first And storing the action information of the module to generate a statistical analysis information; the network video capture module captures at least one teaching image and transmits the at least one teaching image to the cloud server through the at least one network An information display module that receives the system The statistical analysis information generated by the analysis module and the at least one teaching image of the cloud server are displayed to the at least one user; wherein the statistical analysis module is similar to the brain wave information and the motion information Sexuality and dissimilarity, the brainwave information and the action information are related to at least one learning state of the at least one user, including at least one of the at least one user's degree of concentration, understanding, stress, and relaxed state.
於開始使用前述之該腦波監測評估學習效果的系統時,該網路視訊擷取模組係擷取該至少一教學影像,並透過該至少一網路傳輸該至少一教學影像到該雲端伺服器;接著該腦波擷取模組係用以擷取該至少一使用者的該腦波資訊,並藉由該第一傳輸模組將該腦波資訊傳輸並儲存於該第一儲存模組,以及該動作擷取模組係用以擷取該至少一使用者的該動作資訊,並藉由該第二傳輸模組將該動作資訊傳輸並儲存於該第二儲存模組;最後,該統計分析模組係讀取該第一儲存模組的該腦波資訊以及該第二儲存模組的該動作資訊,而產生該統計分析資訊,而該資訊顯示模組係接收該統計分析模組產生之該統計分析資訊以及該雲端伺服器的該至少一教學影像,並顯示給該至少一使用者。The network video capture module captures the at least one teaching image and transmits the at least one teaching image to the cloud server through the at least one network when the system for monitoring the learning effect is started. The brain wave capture module is configured to capture the brain wave information of the at least one user, and transmit and store the brain wave information in the first storage module by using the first transmission module. And the action capture module is configured to capture the action information of the at least one user, and transmit and store the action information in the second storage module by using the second transmission module; finally, the The statistical analysis module reads the brain wave information of the first storage module and the action information of the second storage module to generate the statistical analysis information, and the information display module receives the statistical analysis module The statistical analysis information and the at least one teaching image of the cloud server are generated and displayed to the at least one user.
由於前述係一併運用腦機互動模組以及人機互動模組,並透過該統計分析模組對於該腦波資訊以及該動作資訊所的相似性與差異性進行統計分析,用以獲得關於使用者學習時的專注程度、理解程度、壓力以及放鬆狀態之其中至少一者的學習狀態相關資訊,進而能夠準確達到評價教師的教學效率以及學生的學習效率的目的。Since the foregoing system uses the brain-computer interaction module and the human-machine interaction module together, the statistical analysis module performs statistical analysis on the similarity and difference of the brain wave information and the motion information, so as to obtain information about the use. The information about the learning state of at least one of the degree of concentration, the degree of understanding, the stress, and the state of relaxation during the learning, thereby accurately achieving the purpose of evaluating the teaching efficiency of the teacher and the learning efficiency of the student.
鑒於前述之習知技術的缺點,本發明之另一目的係提供一種腦波監測評估學習效果的方法,該方法係包括下列步驟:一網路視訊擷取模組係擷取至少一教學影像,並透過至少一網路傳輸該至少一教學影像到一雲端伺服器;一腦波擷取模組係用以擷取至少一使用者的一腦波資訊,並藉由一第一傳輸模組將該腦波資訊傳輸並儲存於一第一儲存模組;一動作擷取模組係用以擷取該至少一使用者的一動作資訊,並藉由一第二傳輸模組將該動作資訊傳輸並儲存於一第二儲存模組;一統計分析模組係讀取該第一儲存模組的該腦波資訊以及該第二儲存模組的該動作資訊,而產生一統計分析資訊;一資訊顯示模組係接收該統計分析模組產生之該統計分析資訊以及該雲端伺服器的該至少一教學影像,並顯示給該至少一使用者;其中,該統計分析模組係比對該腦波資訊以及該動作資訊的相似性與相異性,該腦波資訊以及該動作資訊係關於該至少一使用者的至少一學習狀態,包括該至少一使用者的專注程度、理解程度、壓力以及放鬆狀態之其中至少一者。In view of the above disadvantages of the prior art, another object of the present invention is to provide a method for monitoring the learning effect of brain wave monitoring, the method comprising the steps of: capturing, by a network video capture module, at least one teaching image, And transmitting the at least one teaching image to a cloud server through at least one network; the brain wave capturing module is configured to capture at least one user's brain wave information, and the first transmission module The brain wave information is transmitted and stored in a first storage module; an action capture module is configured to capture an action information of the at least one user, and transmit the action information by using a second transmission module And storing in the second storage module; the statistical analysis module reads the brain wave information of the first storage module and the motion information of the second storage module to generate a statistical analysis information; The display module receives the statistical analysis information generated by the statistical analysis module and the at least one teaching image of the cloud server, and displays the information to the at least one user; wherein the statistical analysis module compares the brain wave News And the similarity and dissimilarity of the action information, the brain wave information and the action information are related to at least one learning state of the at least one user, including the at least one user's degree of concentration, understanding degree, stress, and relaxation state. At least one of them.
以下係藉由特定的具體實施例說明本發明之實施方式,熟悉此技藝之人士可由本說明書所揭示之內容輕易地瞭解本發明之其他優點及功效。本發明亦可藉由其他不同的具體實例加以施行或應用,本發明說明書中的各項細節亦可基於不同觀點與應用在不悖離本發明之精神下進行各種修飾與變更。The embodiments of the present invention are described by way of specific examples, and those skilled in the art can readily appreciate the other advantages and advantages of the present invention. The invention may be embodied or applied in various other specific embodiments, and various modifications and changes may be made without departing from the spirit and scope of the invention.
須知,本說明書所附圖式繪示之結構、比例、大小等,均僅用以配合說明書所揭示之內容,以供熟悉此技藝之人士瞭解與閱讀,並非用以限定本發明可實施之限定條件,故不具技術上之實質意義,任何結構之修飾、比例關係之改變或大小之調整,在不影響本發明所能產生之功效及所能達成之目的下,均應落在本發明所揭示之技術內容得能涵蓋之範圍內。It is to be understood that the structure, the proportions, the size and the like of the present invention are intended to be used in conjunction with the disclosure of the specification, and are not intended to limit the scope of the invention. The conditions are not technically meaningful, and any modification of the structure, change of the proportional relationship or adjustment of the size should be disclosed in the present invention without affecting the effects and achievable effects of the present invention. The technical content can be covered.
以下依據本發明之實施例,描述腦波監測評估學習效果的系統及其方法。Hereinafter, a system for analyzing brain wave monitoring and evaluating learning effects and a method thereof will be described in accordance with an embodiment of the present invention.
請參閱圖1至圖6所示,為本發明之一實施例的腦波監測評估學習效果的系統,係包括:一腦機互動模組10、一人機互動模組20、一統計分析模組30、一網路視訊擷取模組40以及一資訊顯示模組50。Referring to FIG. 1 to FIG. 6 , a system for evaluating brain wave monitoring and evaluating learning effects according to an embodiment of the present invention includes: a brain-computer interaction module 10, a human-machine interaction module 20, and a statistical analysis module. 30. A network video capture module 40 and an information display module 50.
該腦機互動模組10係包括一腦波擷取模組11、一第一傳輸模組12以及一第一儲存模組13,其中,該腦波擷取模組11係用以擷取至少一使用者(圖中未示)的一腦波資訊14,並藉由該第一傳輸模組12將該腦波資訊14傳輸並儲存於該第一儲存模組13。在本發明之該實施例中,該腦波擷取模組11係為非侵入式的一頭戴式腦波儀(圖中未示),其採用的是腦機介面(Brain Computer Interface, BCI),用以擷取該腦波資訊14,該第一傳輸模組12係為相容於WIFI、Bluetooth、NFC、FTIR等通訊協定之其中至少一者的無線傳輸裝置,用以傳輸該腦波資訊14。 The brain-computer interaction module 10 includes a brain wave capturing module 11 , a first transmission module 12 , and a first storage module 13 , wherein the brain wave capturing module 11 is configured to capture at least A brain wave information 14 is displayed by a user (not shown), and the brain wave information 14 is transmitted and stored in the first storage module 13 by the first transmission module 12. In the embodiment of the present invention, the brain wave capturing module 11 is a non-invasive head-mounted electroencephalograph (not shown), which uses a brain computer interface (Brain Computer Interface, BCI). The first transmission module 12 is a wireless transmission device compatible with at least one of a communication protocol such as WIFI, Bluetooth, NFC, FTIR, etc., for transmitting the brain wave. Information 14.
該人機互動模組20係包括一動作擷取模組21、一第二傳輸模組22以及一第二儲存模組23,其中,該動作擷取模組21係用以擷取該至少一使用者(圖中未示)的一動作資訊24,並藉由該第二傳輸模組22將該動作資訊24傳輸並儲存於該第二儲存模組23。在本發明之該實施例中,該動作擷取模組21係為一電腦鍵盤(圖中未示)及電腦滑鼠(圖中未示)之其中至少一者,其採用的是人機介面(Human Computer Interface,HCI),用以供該至少一使用者(圖中未示)以動作觸發該動作擷取模組21,使該動作擷取模組21擷取到該至少一使用者(圖中未示)的該動作資訊24,該第二傳輸模組22係為相容於WIFI、Bluetooth、NFC、FTIR等通訊協定之其中至少一者的無線傳輸裝置,用以傳輸該動作資訊24。 The human-machine interaction module 20 includes an action capture module 21, a second transmission module 22, and a second storage module 23, wherein the action capture module 21 is configured to capture the at least one An action information 24 of the user (not shown) is transmitted and stored in the second storage module 23 by the second transmission module 22. In the embodiment of the present invention, the action capture module 21 is at least one of a computer keyboard (not shown) and a computer mouse (not shown), which uses a human-machine interface. (Human Computer Interface, HCI), for the at least one user (not shown) to trigger the action capture module 21 to cause the action capture module 21 to capture the at least one user ( The action information 24 is not shown in the figure. The second transmission module 22 is a wireless transmission device compatible with at least one of WIFI, Bluetooth, NFC, FTIR and the like, for transmitting the action information 24 .
該統計分析模組30係讀取該第一儲存模組13的該腦波資訊14以及該第二儲存模組23的該動作資訊24,而產生一統計分析資訊31。其中,該統計分析模組30係比對該腦波資訊14以及該動作資訊24的相似性與相異性,該腦波資訊14以及該動作資訊24係關於該至少一使用者(圖中未示)的至少一學習狀態,包括該至少一使用者(圖中未示)的專注程度、理解程度、壓力以及放鬆狀態之其中至少一者。在本發明之該實施例中,該統計分析模組30包括一腦波標註模組32,該腦波標註模組32係依據一時間軸(圖中未示)與該腦波資訊14產生一腦波標註資訊33,該統計分析模組30再比較該腦波標註資訊33及該動作資訊24的相似性與相異性,以產生該統計分析資訊31。 The statistical analysis module 30 reads the brain wave information 14 of the first storage module 13 and the motion information 24 of the second storage module 23 to generate a statistical analysis information 31. The statistical analysis module 30 compares the similarity and dissimilarity between the brain wave information 14 and the motion information 24, and the brain wave information 14 and the motion information 24 relate to the at least one user (not shown in the figure) At least one learning state of the at least one of the at least one user (not shown), the degree of concentration, the degree of understanding, the stress, and the state of relaxation. In the embodiment of the present invention, the statistical analysis module 30 includes a brain wave labeling module 32. The brain wave labeling module 32 generates a brain wave information 14 according to a time axis (not shown). The brain wave label information 33, the statistical analysis module 30 compares the similarity and dissimilarity of the brain wave label information 33 and the motion information 24 to generate the statistical analysis information 31.
該網路視訊擷取模組40係擷取至少一教學影像41,並透過至少一網路(圖中未示)傳輸該至少一教學影像41到一雲端伺服器60。在本發明之該實施例中,該至少一網路係相容於WIFI、Bluetooth、NFC、FTIR等通訊協定之其中至少一者。The network video capture module 40 captures at least one teaching image 41 and transmits the at least one teaching image 41 to a cloud server 60 via at least one network (not shown). In this embodiment of the invention, the at least one network is compatible with at least one of a communication protocol such as WIFI, Bluetooth, NFC, FTIR.
該資訊顯示模組50係接收該統計分析模組30產生之該統計分析資訊31以及該雲端伺服器60的該至少一教學影像41,並顯示給該至少一使用者(圖中未示)。The information display module 50 receives the statistical analysis information 31 generated by the statistical analysis module 30 and the at least one teaching image 41 of the cloud server 60, and displays the information to the at least one user (not shown).
在本發明之該實施例中,前述之腦波監測評估學習效果的系統復包括一行動通訊裝置,該行動通訊裝置具有該第一儲存模組13、該第二儲存模組23、該統計分析模組30及該資訊顯示模組50,且該行動通訊裝置為筆記型電腦、平板電腦、個人數位助理、智慧型手機、穿戴式裝置之其中至少一者。在本發明之該實施例中,該行動通訊裝置為平板電腦100(如圖5所示,其配置有該資訊顯示模組50,用以顯示該至少一教學影像41以及該統計分析資訊31)。In the embodiment of the present invention, the system for monitoring the learning effect of the brain wave monitoring includes a mobile communication device, the mobile communication device having the first storage module 13, the second storage module 23, and the statistical analysis. The module 30 and the information display module 50, and the mobile communication device is at least one of a notebook computer, a tablet computer, a personal digital assistant, a smart phone, and a wearable device. In the embodiment of the present invention, the mobile communication device is a tablet computer 100 (as shown in FIG. 5, the information display module 50 is configured to display the at least one teaching image 41 and the statistical analysis information 31). .
在本發明之該實施例中,該平板電腦100復包括該網路視訊擷取模組40以及一檢索模組101,該網路視訊擷取模組40儲存於該雲端伺服器60的該至少一教學影像41為即時影音串流及普通影音錄製檔案之其中至少一者;該檢索模組101係用以透過該至少一網路(圖中未示)存取該雲端伺服器60中的該至少一教學影像41,並對該至少一教學影像41進行檢索動作,在本實施例中,該至少一使用者可以在該檢索模組101中輸入網址或關鍵字等相關資訊。In the embodiment of the present invention, the tablet 100 includes the network video capture module 40 and a search module 101. The network video capture module 40 stores the at least the cloud server 60. The teaching image 41 is at least one of a live video stream and a normal video recording file. The search module 101 is configured to access the cloud server 60 via the at least one network (not shown). The at least one teaching image 41 is searched for at least one teaching image 41. In this embodiment, the at least one user can input related information such as a web address or a keyword in the search module 101.
在本發明之該實施例中,該行動通訊裝置復包括一意見回饋模組102,該意見回饋模組102係用以讓該至少一使用者(圖中未示)輸入一意見紀錄103,並將該意見紀錄103透過該至少一網路(圖中未示)傳輸到該雲端伺服器60中。In the embodiment of the present invention, the mobile communication device includes an opinion feedback module 102 for allowing the at least one user (not shown) to input an opinion record 103, and The opinion record 103 is transmitted to the cloud server 60 through the at least one network (not shown).
開始使用本發明之雲端檔案搜尋系統時,藉由網路視訊擷取模組擷取該至少一教學影像,並透過至少一網路傳輸至少一教學影像到雲端伺服器;在本發明之實施例中,復包括檢索模組,檢索模組係用以透過至少一網路存取雲端伺服器中的至少一教學影像,並對至少一教學影像進行檢索動作(步驟S1)。When the cloud file search system of the present invention is used, the at least one teaching image is captured by the network video capture module, and at least one teaching image is transmitted to the cloud server through the at least one network; in the embodiment of the present invention The search module is configured to access at least one teaching image in the cloud server through at least one network, and perform a retrieval operation on the at least one teaching image (step S1).
接著,藉由腦波擷取模組擷取至少一使用者的腦波資訊,並透過第一傳輸模組將腦波資訊傳輸並儲存於第一儲存模組;以及,藉由動作擷取模組擷取至少一使用者的動作資訊,並藉由第二傳輸模組將動作資訊傳輸並儲存於第二儲存模組(步驟S2)。Then, the brain wave capturing module captures at least one user's brain wave information, and transmits and stores the brain wave information in the first storage module through the first transmission module; and, by using the motion capture module The group captures action information of at least one user, and transmits and stores the action information in the second storage module by using the second transmission module (step S2).
繼而,統計分析模組係讀取第一儲存模組的腦波資訊以及第二儲存模組的動作資訊,而產生一統計分析資訊;在本發明之該實施例中,統計分析模組包括腦波標註模組,腦波標註模組係依據時間軸與腦波資訊產生腦波標註資訊,統計分析模組再比較腦波標註資訊及動作資訊的相似性與相異性,以產生統計分析資訊(步驟S3)。Then, the statistical analysis module reads the brain wave information of the first storage module and the action information of the second storage module to generate a statistical analysis information. In this embodiment of the invention, the statistical analysis module includes a brain. Wave labeling module, brain wave labeling module generates brain wave labeling information based on time axis and brain wave information, and statistical analysis module compares the similarity and dissimilarity of brain wave labeling information and motion information to generate statistical analysis information ( Step S3).
最後,資訊顯示模組係接收統計分析模組產生之統計分析資訊以及雲端伺服器的至少一教學影像,並顯示給至少一使用者在本發明之該實施例中,復包括意見回饋模組,意見回饋模組係用以讓至少一使用者輸入意見紀錄,並將意見紀錄透過至少一網路傳輸到雲端伺服器中(步驟S4)。Finally, the information display module receives the statistical analysis information generated by the statistical analysis module and the at least one teaching image of the cloud server, and displays it to at least one user in the embodiment of the present invention, including the feedback module. The feedback module is configured to allow at least one user to input an opinion record and transmit the opinion record to the cloud server through at least one network (step S4).
藉此,由於前述係一併運用腦機互動模組10以及人機互動模組20,並透過該統計分析30模組對於該腦波資訊14以及該動作資訊24所的相似性與差異性進行統計分析,用以獲得關於使用者學習時的專注程度、理解程度、壓力以及放鬆狀態之其中至少一者的學習狀態相關資訊,進而能夠準確達到評價教師的教學效率以及學生的學習效率的目的。Therefore, since the foregoing interaction system 10 and the human-machine interaction module 20 are used together, the similarity and difference between the brain wave information 14 and the motion information 24 are performed through the statistical analysis 30 module. The statistical analysis is used to obtain information about the learning state of at least one of the degree of concentration, the degree of understanding, the stress, and the state of relaxation of the user during learning, thereby accurately achieving the purpose of evaluating the teaching efficiency of the teacher and the learning efficiency of the student.
儘管已參考本申請的許多說明性實施例描述了實施方式,但應瞭解的是,本領域技術人員能夠想到多種其他改變及實施例,這些改變及實施例將落入本公開原理的精神與範圍內。尤其是,在本公開、圖式以及所附申請專利範圍的範圍內,對主題結合設置的組成部分及/或設置可作出各種變化與修飾。除對組成部分及/或設置做出的變化與修飾之外,可替代的用途對本領域技術人員而言將是顯而易見的。 Although the embodiments have been described with reference to the embodiments of the present invention, it will be understood that Inside. In particular, various changes and modifications can be made in the components and/or arrangements of the subject combination. Alternative uses will be apparent to those skilled in the art, in addition to variations and modifications in the component parts and/or arrangements.
10‧‧‧腦機互動模組 10‧‧‧ brain machine interactive module
11‧‧‧腦波擷取模組 11‧‧‧ brain wave capture module
12‧‧‧第一傳輸模組 12‧‧‧First transmission module
13‧‧‧第一儲存模組 13‧‧‧First storage module
14‧‧‧腦波資訊 14‧‧‧ Brainwave Information
20‧‧‧人機互動模組 20‧‧‧Human Machine Interaction Module
21‧‧‧動作擷取模組 21‧‧‧Action capture module
22‧‧‧第二傳輸模組 22‧‧‧Second transmission module
23‧‧‧第二儲存模組 23‧‧‧Second storage module
24‧‧‧動作資訊 24‧‧‧Action Information
30‧‧‧統計分析模組 30‧‧‧Statistical Analysis Module
31‧‧‧統計分析資訊 31‧‧‧Statistical Analysis Information
32‧‧‧腦波標註模組 32‧‧‧ brain wave labeling module
33‧‧‧腦波標註資訊 33‧‧‧ brain wave labeling information
40‧‧‧網路視訊擷取模組 40‧‧‧Network Video Capture Module
41‧‧‧教學影像41‧‧‧ Teaching image
50‧‧‧資訊顯示模組50‧‧‧Information Display Module
60‧‧‧雲端伺服器60‧‧‧Cloud Server
100‧‧‧平板電腦100‧‧‧ tablet
101‧‧‧檢索模組101‧‧‧Search Module
102‧‧‧意見回饋模組102‧‧‧Opinion feedback module
103‧‧‧意見紀錄103‧‧‧Opinion record
S1~S4‧‧‧步驟S1~S4‧‧‧ steps
圖1係顯示本發明之腦波監測評估學習效果的系統的系統架構示意圖; 圖2係顯示本發明之腦波監測評估學習效果的系統的腦機互動模組的系統架構示意圖; 圖3係顯示本發明之腦波監測評估學習效果的系統的人機互動模組的系統架構示意圖; 圖4係顯示本發明之腦波監測評估學習效果的系統的統計分析模組的系統架構示意圖; 圖5係顯示本發明之腦波監測評估學習效果的系統的資訊顯示模組的裝置示意圖;以及 圖6係顯示本發明之腦波監測評估學習效果的系統的使用方法步驟示意圖。1 is a schematic diagram showing a system architecture of a system for monitoring brain wave monitoring and evaluating learning effects of the present invention; FIG. 2 is a schematic diagram showing a system architecture of a brain-computer interaction module of a system for monitoring brain wave monitoring and evaluation effects of the present invention; The system architecture diagram of the human-computer interaction module of the system for monitoring and evaluating the learning effect of the present invention; FIG. 4 is a schematic diagram showing the system architecture of the statistical analysis module of the system for monitoring the brain wave monitoring and evaluation effect of the present invention; A schematic diagram of an apparatus for displaying an information display module of a system for monitoring brain wave monitoring and evaluating learning effects of the present invention; and FIG. 6 is a schematic diagram showing steps of a method for using the brainwave monitoring and evaluation learning effect of the present invention.
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TWM393292U (en) * | 2010-07-26 | 2010-12-01 | Alchemy Technology Co Ltd | Device to determine the attraction of multimedia by brain wave |
TWM393291U (en) * | 2010-07-26 | 2010-12-01 | Alchemy Technology Co Ltd | Learning device applying the brain wave determination |
TWM546203U (en) * | 2016-11-29 | 2017-08-01 | 逢甲大學 | Brainwave monitoring system for assessing learning outcomes |
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TWM393292U (en) * | 2010-07-26 | 2010-12-01 | Alchemy Technology Co Ltd | Device to determine the attraction of multimedia by brain wave |
TWM393291U (en) * | 2010-07-26 | 2010-12-01 | Alchemy Technology Co Ltd | Learning device applying the brain wave determination |
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