KR20160052487A

KR20160052487A - Intensive learning time measurement device using motion detection

Info

Publication number: KR20160052487A
Application number: KR1020160049089A
Authority: KR
Inventors: 윤효섭
Original assignee: 윤효섭
Priority date: 2016-04-22
Filing date: 2016-04-22
Publication date: 2016-05-12
Also published as: KR101824478B1

Abstract

A device to measure a learning time by detecting a motion according to the present invention provides a method to measure a concentration time in learning from the motion of the learner without the invasion of a privacy of the learner and without inconvenience or a rebellious feel of the learner by wearing the device on a body such as a head, and the like. The device comprises: a sensor unit arranged to aim the left side and the right side of the learner and to generate and receive an ultrasonic wave signal or an infrared signal; and a signal processing unit to collect a signal reflected from the learner or an object by successively controlling the sensor unit, to discriminate motions such as sleeping, learning, being distracted, getting out, and the like based on a predetermined threshold value by finding out a pattern differently formed along with the motion of the learner or the object in the collected signal, to determined the discriminated state by synthesizing the discriminated state, and to store a determined learning attitude. The device increases the real learning time by improving a self learning attitude by calculating and providing time concentrated in a learning from the motion of the learner and by recognizing that a reason of low learning achievement relates to a low concentration time. When a learning attitude having the concentration is habituated from childhood, the scholastic achievement is connected to autodidacticism. A social adaptation is improved by improving patience in a process to increase the learning time.

Description

Description of the Related Art [0002] Intensive learning time measurement device using motion detection

The present invention relates to a learning concentration time measuring apparatus for analyzing a movement of a learner on a desk and determining whether the learning state is concentrated in learning.

Learning attitude is an important element of academic achievement. As a result, learners with high academic achievement spend almost all of their time learning while maintaining a constant attitude while maintaining a good attitude while sitting at a desk. Low learners have a lot of movement during learning, a short maintenance of learning attitude, and even a concentrated learning time such as leaving the desk is practically short.

In particular, the problematic part is that the learner who has low academic achievement has less academic achievement due to lack of intellectual ability or talent, .

Therefore, it is important to improve learner attitudes by improving the learner's consciousness by providing the information that learners are focused on learning and that the cause of low achievement is due to learning attitude rather than lack of intellectual ability or talent , It is possible to cultivate patience and self-control in the course of improving learning attitudes.

According to this necessity, the invention has been proposed for the improvement of concentration or the measurement of learning time.

Open No. 10-2015-0025661 uses a 4-channel EEG analyzer as a method for determining the degree of drowsiness and concentration using EEG, and it is inconvenient for learners to use the EEG because it is necessary to attach an electrode for measurement of brain waves to the head. Concentration may be reduced or psychological discomfort may result.

Public Practice No. 20-2006-0000077 discloses a clock device having a learning time confirmation function which sets a learning target time to a device having a clock function and measures a learning time by a button operation for setting the start and end of learning, Since the learning target time can be attained regardless of the learning attitude of the learner, the actual learning time concentrated on the learning can not be measured.

The learning time evaluation system and the method using the artificial intelligence collects data such as a camcorder, recording, and noise, and is used for learning in advance such as learning time planning, route planning, It is a method to analyze learning schedule by analyzing plan table by artificial intelligence. It has a high price because it needs to be moved according to learner's moving position or separately, and there is a concern about invasion of privacy because video and audio information is utilized. There is a fear that it will give a feeling of psychological pressure and repulsion.

In order to solve such a problem, the present invention is to provide a motivation for a learner to improve a learning attitude by measuring a learner's movement and measuring and concentrating time for learning.

In general, a method using a passive infrared sensor and a method of extracting motion based on image information of a camera are used as a method of detecting motion, and ultrasound or infrared rays are used as a distance measuring method.

A motion detection method using a human body sensor uses a sensor that collects heat generated in the infrared region and converts it into an electrical signal. It collects heat generated from the infrared rays in the human body and judges that there is movement when a change occurs. The sensor performance is deteriorated due to a small temperature change, and a small movement or a slow movement can not be detected due to a small thermal change.

In the motion detection method using image information, motion information can be detected by comparing the difference between the previous image and the current image with the image information acquired through the camera, and an image with a high resolution can detect a small motion, It is inevitable that security is required in relation to privacy protection, and it can be displeased that an unspecified number of persons are monitored, and production cost is high.

The method of measuring the distance to an object using infrared or ultrasonic waves is mainly used for measuring the distance to a straight object such as front and rear of a vehicle or obstacle detection of a robot rather than a motion. And the signal reflected from the object is received by a sensor having a high reception capability at the front side, thereby minimizing the influence of the surroundings and increasing the accuracy of the frontal direction. As a result, the entire object does not move, It is impossible to detect side movements such as the arm that occur in a part of the body.

Published Patent No. 10-2015-0025661 Registration Practice No. 20-2006-0000077 Published Patent No. 10-2015-0021274

The apparatus for measuring learning time using motion detection according to the present invention measures the time taken to focus on learning from a learner's movement without feeling the inconvenience of a learner's privacy, To provide a method to do so.

Specifically, when a small movement such as turning a page of a learner's book or a note or writing a note in the notebook is intermittently sustained, it is determined by learning, and there is little movement such as when sleeping or sleeping, Learning time is measured as a case in which a large motion is shown as in the case of interest, so that the signal collected according to the learner's movement is analyzed to detect and analyze the movement pattern, and the learning convergence time is measured without intentionally manipulating the learner The purpose of the method is to provide.

According to an aspect of the present invention, there is provided an apparatus for measuring concentration of time using motion, comprising: a sensor unit for generating and receiving an ultrasonic wave or an infrared signal; The sensor unit collects the reflected signals from the learner or the object by controlling the operation of the sensor unit, finds a pattern that is differently formed according to the learner or object motion in the collected signals, and determines the drowsiness, learning, distraction, departure And a signal processing unit for performing a statistical process for increasing or initializing the learning concentration time according to the detected state and for controlling the display device.

The sensor unit includes a signal generator for generating an ultrasonic or infrared signal and a signal receiver for receiving a signal reflected from a learner or an object. The signal generator is arranged to direct left and right sides of the learner And may be further divided and arranged so as to direct the upper and lower portions of the learner.

The signal processing unit periodically collecting the signals reflected from the learner or the object by controlling the sensor unit to generate infrared or ultrasound signals; A detecting step of detecting a movement pattern by analyzing the collected data to discriminate a learning attitude; A judgment step of judging a learning attitude by comprehensively judging a detected movement; And a storing step of storing the determined learning attitude.

In the collecting step, the signal generating unit and the signal receiving unit are sequentially operated so as to effectively detect the movement of the learner or the object, and a signal in which the movement of the side is well reflected is collected and simultaneously operated. .

Wherein the detecting step detects a pattern reflecting the characteristic of movement in the collected signal data and classifies the learning attitude by separating the detected pattern according to a preset reference value.

Wherein the determining step determines the learning attitude by combining the movement patterns detected from the left side, the front side, and the right side of the learner, thereby increasing the accuracy.

Wherein the storing step continuously records the learning state determined by the signal processing unit using the time information, and stores the learning attempt time, which is the time that the learner is not at the desk, the learning concentration time, And information of the longest learning concentration time, which is the longest among the learning concentration time, is managed on a day, week, and month basis.

The signal processing unit may include a display unit that displays information necessary for a learner such as a longest learning time, a longest learning time, a current learning time, etc., using a light emitter that is distinguished by a character, a picture, or a color .

The signal processing unit may include a transmission / reception unit that transmits statistical data of a smart phone, a personal digital assistant, a personal computer, and a signal processing unit or receives a command.

The signal processing unit may include an alarm unit for generating an alarm sound according to the learning state, or for inducing the injection or flow of air to awaken the learner.

The present invention provides a method for calculating learning time concentrated on learning from a learner's movement on a desk and recognizing the fact that the learning achievement is low due to a small amount of actual learning time, thereby improving the learning attitude by oneself, If there is an improvement in the learning time, it is to stimulate the learner's motivation by making a mark that can make a reasonable compensation. If the concentration learning attitude is habituated from a young age, it leads to academic achievement as well as self-directed learning, Increasing patience and tolerance in the process of increasing the social adaptability can also be improved.

1 is a block diagram of the present invention.
2 is a layout diagram of the signal generator and the signal receiver of the present invention.
3 is a flowchart illustrating a method of driving a learning time measuring apparatus using motion detection.
4 is a flow chart for explaining data collection in the flow chart of Fig.
5 is a flowchart for explaining a motion detection method in the flowchart of FIG.
FIG. 6 is a flowchart for explaining a motion pattern determination method in the flowchart of FIG.
7 is an exemplary diagram for explaining the motion pattern detection method of the present invention.
8 is a diagram for explaining a learner departure motion pattern detecting method according to the present invention.
FIG. 9 is a diagram for explaining a learner approach movement pattern detecting method according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The terms and words used in the specification and claims should not be construed to be limited to ordinary or dictionary meanings, and the inventor should appropriately define the concept of the term to describe its invention in the best way possible It should be construed in the meaning and concept consistent with the technical idea of the present invention.

The operation of the present invention will be described with reference to an embodiment of the present invention, but the present invention is not limited thereto.

1 is a schematic block diagram of a learning time measuring apparatus using motion according to an embodiment of the present invention.

Referring to FIG. 1, the apparatus for measuring learning time using motion includes a sensor unit 100, a signal processing unit 200, a display unit 300, a transceiver unit 400, and an alarm unit 500.

The sensor unit 100 includes a signal generating unit 110 and a signal receiving unit 120. The signal generating unit 110 includes a first signal generating unit 111 and a second signal generating unit 110. [ And generates an ultrasound signal or an infrared signal under the control of the signal processing unit 200.

The signal generating unit 110 may include a first signal generating unit 111 and a second signal generating unit 112 so as to be symmetric with respect to the signal receiving unit 20 facing the front as shown in FIG. , And the placement angle? Is preferably set at an angle of 30 cm to the right and left sides of the front side of the learner, which is not located at a distance of 1 m, so as to direct the position of the learner's hand or arm.

The signal receiving unit 120 receives an ultrasound or infrared signal reflected by a learner or an object under the control of the signal processing unit 200. The received signal may be a digital signal or an analog- (Not shown).

The signal processor 200 preferably includes a microprocessor (not shown), and is provided with an analog-digital conversion function (not shown), a real-time clock (not shown) for acquiring time information, (Not shown) and a memory (not shown) capable of storing data, and it can be separately configured if it is not provided by a microprocessor.

The signal processing unit 200 includes a collecting step 210 for receiving a signal from the sensor unit 100, a detecting step 220 for detecting a motion by analyzing the collected signal, a determination step for discriminating a learning state from the detected motion, A step 230 and a storing step 240 for recording and analyzing the learning state.

The display unit 300 can visually provide data to the learner in the storage step 240. The display unit 300 may use a display device that displays letters or pictures, or may use a color-distinguished light emitting unit.

The transceiver 400 may be implemented in Bluetooth by transmitting data in the storage step 240 to a personal portable device or receiving a control signal from a personal portable device.

The alarm unit 500 functions to awaken a learner according to a learning attitude by generating an audible sound using a speaker, spraying air, or rotating the air when a learner sleeps, drowsy, or leaves.

3 is a flow chart for explaining the operation of the present invention.

Step S100 is preferably set to a period of 0.1 second to 1 second for periodically measuring motion, and an embodiment of the present invention is set to 0.5 second.

Step S200 is a step of collecting data. It sequentially measures the movement of the left, right, and front sides by sequentially operating the signal generating unit 110 provided to detect the movement of the hand or arm of the learner, And stores them in a storage area previously allocated in sequence.

4 is a flow chart of a step S200 of collecting data. First, the first signal generator 111 is turned on and the second signal generator 112 is turned off to measure the left motion (S210) (S211) and stores the data (S212) after receiving the signal reflected from the learner or the object by the controller 120;

The first signal generating unit 111 is turned off and the second signal generating unit 112 is turned on in step S220 in order to measure the motion on the right side and the signal received by the learner or the object is received by the signal receiving unit 120 S221) data (S222);

The first signal generating unit 111 is turned ON and the second signal generating unit 112 is turned ON in step S230 in order to measure the frontal movement and the signal received by the learner or the object is received by the signal receiving unit 120 S231) data is stored (S232).

In step S300, it is preferable to set the analysis period to be between 10 seconds and 60 seconds, and to store the data twice as long as the analysis period. In the embodiment of the present invention, 10 seconds, so the size for storing data is set to store 20 seconds of data.

S400 is a process for detecting a motion pattern generated according to a motion from the data collected in step S200 (FIG. 5 and FIG. 6).

Step S411 is a step of detecting a motion pattern in the collected signal. The average value of data stored in the memory is calculated, and the minimum value of the interval smaller than the average value and the minimum value interval of the interval smaller than the next average value are set as the pattern width , And the difference between the maximum value (Max.) And the minimum value (Min.) In the movement pattern is set as the variation width.

Variation width d = Max. x (i) - Min. x (j)

Since the signal data is collected at a constant time interval, the detected pattern width is multiplied by the time interval to convert the time of occurrence of the motion, and the area of the movement pattern may be the variation width.

FIG. 7 shows one motion pattern between the examples a and b of the detection of the movement pattern. In the embodiment of the present invention, since the signal acquisition proceeds every 0.5 second, if the width of the pulse is 8, .

FIG. 8 illustrates an example in which when a learner moves away from the apparatus of the present invention, a received signal is kept in a reduced state and a movement pattern is not formed.

FIG. 9 illustrates an example in which a motion pattern is not formed due to an increase in signal size when a learner approaches.

Step S412 is a step for discriminating whether a complete motion pattern is detected as shown in FIG. 7, a case where a motion pattern is not detected, or a case where an incomplete motion pattern is detected as in [FIG. 8] and [FIG. 9].

If only a part of the movement pattern is formed, such as when the movement pattern is not detected, such as when the learner ' s sleep or the learner departs, or when the learner's approach or the movement of the object between the apparatus of the present invention and the learner occurs, If a complete motion pattern is detected, the motion is distinguished in [Fig. 6].

Step S413 is a step of determining a movement, such as a case where an object lying between the apparatus and a learner of the present invention approaches the apparatus direction of the present invention, a new object is placed, or a learner's posture is changed. 9], and the duration of the learning is continued in the next motion since only the interval where the signal size is larger than the average value is maintained.

Step S414 is a step of determining a motion such as when the object lying between the apparatus and the learner moves away from the apparatus direction of the present invention, the object moves outside the detection region, or when the learner's posture is changed. As shown in FIG. 8, the collected signal is maintained in a decreased state, and only a section having a signal size smaller than that of the average value is maintained. Therefore, whether or not the learning is continued with the following movement is determined. do..

Step S416 is a step for discriminating the learner's departure. If the movement pattern is not detected in step S411 and the departure flag is set, it is determined that the learner is departing (S480).

If the departure flag is not set in step S416, the sleep confirmation time is increased in step S417 to determine whether there is no movement due to the learner's sleep because the learner has no motion. If the increased time is more than 120 seconds in step S418, It is judged to be the sleep (S470).

6 is a flowchart for discriminating a learning state when a motion pattern is detected.

Step S420 is a step of detecting a short motion such as a note taking, and it is preferable that the motion is set to be between 1 second and 3 seconds since the width of the motion pattern detected in step S411 is short. If a motion pattern smaller than a second is detected, it is determined to be a motion of a learning state (S450).

In step S421, the learning state is determined based on the learner's great motion. In this embodiment, the motion pattern of 5 seconds or more is determined as a large motion according to the embodiment of the present invention.

When a large movement pattern is detected, learning is determined to be a one-time movement of the learner, and the detection interval time is increased to determine a non-learning of the repetitive motion (S422).

If the detection interval is longer than 10 seconds in step S423, it is determined that the learner is intermittently moved (S450). If it is determined that the learner is not learning, ) do.

Step S426 is a step of detecting an intermittent motion occurring during learning such as page turning. It is determined as a learning state (S450) when it is larger than the preset fluctuation width, and when it is small, If the breathing time is longer than the set time (S428), it is determined to be sleeping (S470). If the breathing time is longer than the set breathing time, It is determined to be the learning time (S450).

The reference value used in this step is preferably set between 1% and 3% of the step average value, and the reference value according to the embodiment of the present invention is 2% of the signal size.

When motion extraction is completed, the data is discarded for the previous 10 seconds and the data is updated to the previous data for the current 10 seconds.

In step S500, the learning time is extracted from the motion extracted in step S400. If the learning time is analyzed as the learning time, the learning concentration time S600 is increased. Otherwise, the learning concentration time is terminated (S700) (S800), the learning concentration time is initialized (S850).

According to the present invention, since the signals of the left, right, and front sides of the learner are collected and analyzed at the same time, the movement pattern of the learner is detected three times. Therefore, in order to improve the accuracy in step S500, It is determined that learning is performed when two or more learning states are detected in the time zone, and otherwise, it is determined that the learning is not concentrated.

The storage step 240 records the state of learning, departure, sleep, and non-learning from the beginning to the departure of the learner using the time information, And stores the ten times in a long time order among the times where the learning concentration is maintained, and manages the data in units of days, weeks, and months.

Step S900 is a step of updating the display device, and updates the display device that displays the data of the storage step 240. [

And may include control of the alarm unit 500 in step S900.

The transceiver unit 400 transmits and receives information to and from the personal digital assistant and transmits the data generated in the storage step 240.

The alarm unit 500 functions to awaken a learner by generating an audible sound when the sleeping or non-learning state is detected, by spraying air, or by rotating the air using a motor.

While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

100: sensor unit 110: signal generating unit
111: first signal generator 112: second signal generator
120: signal receiving unit 200: signal processing unit
210: collection step 220: detection step
230: discrimination step 240: storage step
300: Display unit 400: Transmitting /
500:

Claims

The signal generating unit 110 and the signal receiving unit 120 are disposed so as to be divided and directed to the left and right sides of an area to be measured using an ultrasonic signal or an infrared wavelength as shown in FIG. )Wow
A collection step 210 for collecting signals by sequentially controlling the sensor unit 100 at a predetermined time interval as shown in FIG. 4, a motion pattern is detected by analyzing the collected signals, and a learning state And a storage step 240 for storing the determined learning state by using the time information. The detection step 220 may include a detection step 220 for discriminating a learning state, a determination step 230 for determining a learning state, 200). &Lt; / RTI >

The method according to claim 1,
The signal processing unit 200 further includes a display unit 300 that visually displays the learning state of the data stored in the storage step 240 by using a light emitter which is distinguished by a character, Time measuring device.

The method according to claim 1,
Wherein the signal processing unit (200) further comprises a transceiver (400) for transmitting the stored data to a personal portable device or a personal computer in a storage step (240).

The method according to claim 1,
The signal processing unit 200 is provided with an alarm device 500 that sends an audible alarm sound when a non-learning state such as drowsiness, sleeping or departure is determined, or induces a flow of air by air injection or rotation of the motor Further comprising: a learning time measurement unit for measuring the learning time of the learning time measurement unit.