Examinee feature detection system based on artificial intelligence

Abstract

The invention discloses an examinee feature detection system based on artificial intelligence, which belongs to the technical field of examinee detection and comprises a plurality of control recognition reminding systems, an intelligent examination data management system, a communication base station, at least one examinee feature detection module, an examination decision module, an abnormal behavior judgment module and an examinee psychological state evaluation module. The control recognition reminding system is in communication connection with the intelligent examination data management system, the intelligent examination data management system is in communication connection with the communication base station, the examination decision module, the abnormal behavior judgment module and the examinee psychological state evaluation module, and the examinee feature detection module is in wireless communication connection with the communication base station. The communication base station is in wireless communication connection with the control identification reminding system; by means of the mode, the technology achieves simulation of the regular hearing test, so that examinees can check their own levels, the influence of their own mentality on test questions is analyzed, and meanwhile the examinees strictly require their own answering habits so as to conform to the standard of the regular test.

Description

Technical Field

[0001] The present invention relates to the technical field of examinee detection, and in particular to an examinee feature detection system based on artificial intelligence. Background Art

[0002] During the listening test, the heart rate of the examinee may fluctuate due to the difficulty of the test questions. Therefore, the graph of the examinee's heart rate changes during the test can reflect the examinee's psychological activities.

[0003] Currently, listening simulation exams are an important way for candidates to improve their test level. Candidates can use simulation exams to check their answers to relevant test questions. Especially in large-scale comprehensive English listening exams (IELTS and TOEFL), there are relatively strict test requirements (including that the placement of the test paper cannot affect others when answering questions, and test violations face severe penalties). However, the current simulation exams of training institutions are much less strict than real exams, making it difficult for candidates to feel the formality of the exams and the serious consequences of test violations. After the exam, candidates can only understand their answering situation through the test paper and the score, and cannot analyze the impact of their state of mind on each question when answering the question.

[0004] Among many existing technologies, Chinese patent application CN105659192B discloses an examination violation prevention system, which includes a wristband worn on the examinee's wrist, a monitoring system and a sensing system arranged at the entrance of the examination room; the wristband is provided with an identity information module for distinguishing the examinee's identity, a first wireless module for communicating with the monitoring system, and a heart rate detection module for detecting the heart rate change of the examinee; the sensing system includes an identity recognition module for identifying the identity information module and a second wireless module for communicating with the monitoring system; the monitoring system includes a monitoring camera, a third wireless module communicating with the first wireless module and the second wireless module, a processor for processing information, a heart rate monitoring module, a control module for controlling the rotation of the monitoring camera and a examinee information database;

[0005] In this patent application, the heart rate detection module in the wristband detects the heart rate change of the examinee, and then the heart rate monitoring module determines whether the heart rate change range of the examinee exceeds the set normal range, and focuses on monitoring the examinee who exceeds the normal range;

[0006] However, the patent application has the following problems:

[0007] 1. The heart rate of the examinee exceeds the normal range, which may be due to the difficulty of the test questions or the examinee's poor psychological state during the test, and it is not entirely due to violations;

[0008] 2. For candidates whose heart rates exceed the normal range, the heart rate monitoring module drives the surveillance camera to rotate and focus on monitoring the candidate. In this solution, if the heart rates of multiple candidates exceed the normal range and the number of surveillance cameras is limited, some candidates will not be monitored, resulting in a poor anti-violation effect of the surveillance camera;

[0009] 3. For candidates who are in a normal psychological state during the exam, they cannot analyze the source of stress during the exam by obtaining their own heart rate change graph after the mock exam to analyze the listening test;

[0010] 4. It is difficult to obtain evidence of violations during the exam.

[0011] Based on this, the present invention designs an examinee feature detection system based on artificial intelligence to solve the above problems. Summary of the invention

[0012] In view of the above-mentioned shortcomings of the prior art, the present invention provides an examinee feature detection system based on artificial intelligence.

[0013] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0014] An artificial intelligence-based examinee feature detection system includes multiple control recognition reminder systems, an intelligent test data management system, a communication base station, at least one examinee feature detection module, a test decision module, an abnormal behavior determination module, and an examinee psychological state assessment module;

[0015] The control identification reminder system is connected in communication with the intelligent test data management system, the intelligent test data management system is connected in communication with the communication base station, the test decision module, the abnormal behavior determination module and the examinee psychological state assessment module, the examinee feature detection module is connected in wireless communication with the communication base station, and the communication base station is connected in wireless communication with the control identification reminder system;

[0016] The examinee feature detection module is used to detect the heart rate of the examinee in the examination room during the listening test and generate a heart rate spectrum. The examinee feature detection module sends the generated heart rate spectrum to the communication base station, and the communication base station sends the heart rate spectrum to the intelligent test data management system;

[0017] The horizontal axis of the heart rate spectrum represents the test time, and the vertical axis of the heart rate spectrum represents the heart rate;

[0018] The multiple control identification reminder systems are matched one by one with the examination tables in the examination room;

[0019] The control identification reminder system includes a central processing unit, a wireless communication module, an NFC tag reading module 1, an NFC tag reading module 2, a warning module, an NFC tag 1 and an NFC tag 2;

[0020] The central processor is electrically connected to the wireless communication module, the NFC tag reading module 1, the NFC tag reading module 2, and the warning module; the NFC tag reading module 1 is wirelessly connected to the NFC tag 1 and the NFC tag 2; the NFC tag reading module 2 is wirelessly connected to the NFC tag 1 and the NFC tag 2; and the wireless communication module is wirelessly connected to the communication base station;

[0021] The NFC tag reading module 1 and the NFC tag reading module 2 are fixedly installed at the left front corner and the right front corner of the examination table respectively, and the centers of the NFC tag reading module 1 and the NFC tag reading module 2 are located on the same straight line;

[0022] The NFC tag 1 and the NFC tag 2 are respectively adhered to the left front corner and the right front corner of the test paper, and the centers of the NFC tag 1 and the NFC tag 2 are located on the same straight line;

[0023] The center distance L1 between the NFC tag reading module 1 and the NFC tag reading module 2 is equal to the center distance L2 between the NFC tag 1 and the NFC tag 2;

[0024] The NFC tag reading module 1 is also used to identify the NFC tag 1 or NFC tag 2 in the listening test and send the presence signal 1 to the central processor. The NFC tag reading module 2 is also used to identify the NFC tag 1 or NFC tag 2 in the listening test and send the presence signal 2 to the central processor.

[0025] The NFC tag 1 stores the examinee's identity information data, and the NFC tag reading module 1 and the NFC tag reading module 2 can read the examinee's identity information data stored in the NFC tag 1 and send it to the central processor;

[0026] The central processor stores candidate verification data for matching the candidate identity information stored in NFC tag 1. The central processor compares and verifies the received candidate identity information with the corresponding candidate verification data. When the candidate identity information of the central processor and the corresponding candidate verification data fail to be verified, step A is adopted:

[0027] Step A1, the central processing unit identifies the current examination time period;

[0028] When the test period is before the listening test, execute step A2;

[0029] When the test period is during the listening test, execute step A3;

[0030] Step A2, the central processing unit sends an identity information mismatch signal to the warning module;

[0031] Step A3, the central processor sends a test paper position abnormality signal recording the examinee's identity information to the wireless communication module;

[0032] The central processing unit judges the presence signal 1 and the presence signal 2, and adopts step B:

[0033] Step B1, the central processing unit detects whether both the presence signal 1 and the presence signal 2 are recognized;

[0034] When any one or both of the presence signal 1 and the presence signal 2 are not recognized;

[0035] Step B2, the central processing unit identifies whether the unrecognized time exceeds 10 seconds. If the unrecognized time exceeds 10 seconds, step B3 is executed;

[0036] When the unrecognized time does not exceed 10 seconds, execute step B4;

[0037] Step B3, the central processing unit sends a test paper return abnormality signal recording the examinee's identity information to the wireless communication module;

[0038] Step B4, the central processing unit sends a test paper return reminder signal to the warning module;

[0039] The warning module is used to send out corresponding warning light language when receiving the identity information mismatch signal and the test paper return reminder signal;

[0040] The wireless communication module is used to send the test paper position abnormality signal and the test paper return abnormality signal to the communication base station, and then the communication base station sends it to the intelligent test data management system;

[0041] The intelligent test data management system stores test room video surveillance data and listening test mentality auxiliary materials;

[0042] The intelligent test data management system is used to send the received test paper position abnormal signal and test paper return abnormal signal to the abnormal behavior determination module;

[0043] The intelligent test data management system is also used to send the received heart rate graph to the candidate's psychological state assessment module. At the same time, the intelligent test data management system continuously marks the question number of each test question in the listening test on the test time of the heart rate graph according to its playback time and generates a heart rate and test question association graph. The intelligent test data management system stores the heart rate and test question association graph;

[0044] The abnormal behavior determination module is used to determine the abnormal behavior of the examinee according to the abnormal signal of the test paper returning to the position and the abnormal signal of the test paper position;

[0045] The examinee's psychological state assessment module is used to analyze the examinee's heart rate spectrum and assess the examinee's psychological state during the examination.

[0046] Furthermore, the intelligent test data management system includes an intelligent test management platform and a cloud database;

[0047] The intelligent examination management platform is connected to the cloud database, the examination decision module, the abnormal behavior determination module and the examinee psychological state assessment module, and the intelligent examination management platform is connected to the communication base station by wireless communication;

[0048] The communication base station sends the heart rate spectrum to the intelligent examination management platform, and the intelligent examination management platform sends the heart rate spectrum to the examinee's psychological state assessment module;

[0049] The communication base station sends the test paper position abnormality signal and the test paper return abnormality signal to the intelligent test management platform, and then the intelligent test management platform sends it to the abnormal behavior determination module;

[0050] The intelligent test management platform continuously marks the question number of each test question in the listening test on the test time of the heart rate map according to its playing time and generates a heart rate and test question association map, and the intelligent test management platform sends the heart rate and test question association map to the cloud database;

[0051] The cloud database is used for cloud storage of examination room video monitoring data, listening test mentality auxiliary materials and heart rate and test question association maps.

[0052] Furthermore, the abnormal behavior determination module determines the abnormal behavior of the examinee according to the abnormal signal of the test paper returning, and adopts step C:

[0053] Step C1, whether the abnormal behavior determination module receives an abnormal signal of returning the examination paper to its original position;

[0054] Step C2, if no, return to step C1;

[0055] If yes, go to step C3;

[0056] Step C3, the abnormal behavior determination module retrieves the examination room monitoring data of 30 seconds before and after the time point of receiving the abnormal signal of the test paper returning to the abnormal behavior determination module stored in the cloud database through the intelligent test management platform, locates the examinee through the face recognition algorithm, and selects the examinee through the video selection algorithm and generates abnormal proof video data 1;

[0057] Step C4, the abnormal behavior determination module sends the abnormality proof video data 1 to manual review to determine whether the examinee and his / her neighbor have violated any rules in the examination;

[0058] Step C5, when the manual review determines that the examinee has violated the rules, the abnormal behavior determination module sends the abnormality proof video data to the intelligent examination management platform, and then the intelligent examination management platform sends it to the cloud database for storage;

[0059] At the same time, the abnormal behavior determination module determines that the examinee has violated the rules, generates an examinee violation signal and sends it to the intelligent examination management platform, and the intelligent examination management platform sends it to the examination decision module and the examinee psychological state assessment module;

[0060] Step C6, when manual review determines that the examinee has not violated any rules, the abnormal behavior determination module destroys the abnormality proof video data 1.

[0061] Furthermore, the abnormal behavior determination module determines the abnormal behavior of the examinee according to the abnormal signal of the position of the test paper, and adopts step D:

[0062] Step D1, whether the abnormal behavior determination module receives an abnormal signal of the test paper position;

[0063] Step D2, if no, return to step D1;

[0064] If yes, go to step D3;

[0065] Step D3, the abnormal behavior determination module retrieves the examination room monitoring data of 30 seconds before and after the abnormal signal reception time of the examination paper position stored in the cloud database through the intelligent examination management platform, and locates the examinee through the face recognition algorithm, and selects the examinee through the video selection algorithm and generates abnormal proof video data 2;

[0066] Step D4, the abnormal behavior determination module sends the abnormality proof video data 2 to manual review to determine whether the candidate and his / her neighbor have violated any rules during the test;

[0067] Step D5, when the manual review determines that the examinee has violated the rules, the abnormal behavior determination module sends the abnormality proof video data 2 to the intelligent examination management platform, and then the intelligent examination management platform sends it to the cloud database for storage;

[0068] At the same time, the abnormal behavior determination module determines that the examinee has violated the rules, and the abnormal behavior determination module generates a candidate violation signal and sends it to the intelligent test management platform, which is then sent to the test decision module and the examinee psychological state assessment module;

[0069] Step D6, when manual review determines that the examinee has not violated any rules, the abnormal behavior determination module destroys the abnormality proof video data 2.

[0070] Furthermore, the examinee's psychological state assessment module analyzes and assesses the examinee's heart rate spectrum, and adopts step E:

[0071] Step E1, whether the candidate's psychological state assessment module receives a candidate's violation signal;

[0072] Step E2, if yes, go to step E3;

[0073] If yes, execute step E4;

[0074] Step E3, the candidate's psychological state assessment module counts the time when the candidate's heart rate exceeds 100 beats per minute in the heart rate spectrum and calculates whether the time accounts for more than one third of the entire listening test;

[0075] If yes, the candidate's psychological state assessment module assesses that the candidate's psychological state is poor, and at the same time, the candidate's psychological state assessment module generates a psychological state assessment report that records the candidate's identity information and the psychological state assessment is poor;

[0076] If not, the candidate's psychological state assessment module assesses that the candidate's psychological state is normal, and at the same time, the candidate's psychological state assessment module generates a psychological state assessment report that records the candidate's identity information and the psychological state assessment is normal;

[0077] At the same time, the candidate's psychological state assessment module sends the ability assessment report to the intelligent test management platform, which then sends it to the test decision module;

[0078] Step E4: the examinee's psychological state assessment module 14 does not analyze and assess the examinee's heart rate spectrum.

[0079] Furthermore, it also includes a test decision module for writing data content in NFC tag 2 to make decisions after the listening test is completed, and the test decision module is communicatively connected with the intelligent test management platform.

[0080] Furthermore, the test decision module makes a decision on the data content written into the NFC tag 2 after the listening test is completed, and adopts step F:

[0081] Step F1, when the examination decision module receives a signal of a candidate's violation, the examination decision module retrieves the abnormality proof video data 1 or abnormality proof video data 2 access link of the corresponding candidate in the cloud database through the intelligent examination management platform, and then the intelligent examination management platform sends the access link to the communication base station, the communication base station sends it to the wireless communication module, the wireless communication module sends it to the central processor, and the central processor writes the abnormality proof video data access link into the NFC tag 2 through the NFC tag reading module 1 or the NFC tag reading module 2;

[0082] Step F2, when the examination decision module receives the psychological state assessment report, the examination decision module identifies the assessment content of the psychological state assessment report;

[0083] Step F3, when the psychological state is evaluated as poor, the test decision module determines that the examinee has not been able to cope well in this listening test, and the test decision module retrieves the listening test mentality auxiliary material access link stored in the cloud database through the intelligent test management platform, and then the intelligent test management platform sends the access link to the communication base station, the communication base station sends it to the wireless communication module, the wireless communication module sends it to the central processor, and the central processor writes the listening test mentality auxiliary material access link into the NFC tag 2 through the NFC tag reading module 1 or the NFC tag reading module 2;

[0084] Step F4, when the psychological state is assessed as normal, the test decision module determines that the examinee copes normally in this listening test, and the test decision module retrieves the heart rate and test question association map access link stored in the cloud database through the intelligent test management platform, and the intelligent test management platform sends the access link to the communication base station, the communication base station sends it to the wireless communication module, the wireless communication module sends it to the central processor, and the central processor writes the heart rate and test question association map access link into the NFC tag 2 through the NFC tag reading module 1 or the NFC tag reading module 2.

[0085] Furthermore, the candidate feature detection module is a wireless millimeter wave radar.

[0086] Furthermore, the start time of the heart rate graph test time is the playing time of the first question of the listening test, and the end time of the heart rate graph test time is the playing end time of the last question of the listening test;

[0087] The warning module flashes a red light when receiving a signal that the identity information does not match, and flashes a yellow light when receiving a reminder signal for returning the test paper.

[0088] The present invention has the following technical effects: 1. Through the cooperation of NFC tag reading module 1 with NFC tag 1 and NFC tag 2, and the cooperation of NFC tag reading module 2 with NFC tag 1 and NFC tag 2, the answer area of ​​the test paper on the desktop is limited and the test paper is bound to the examinee information at the same time. The examinee whose test paper exceeds the answer area within the specified time is reminded by the warning module, and the examinee's central processor determines that the test paper exceeds the answer area beyond the specified time is abnormal behavior, and the abnormal behavior is reviewed by the abnormal behavior determination module;

[0089] 2. During the listening test, when the test paper is in the wrong candidate's place, the central processor will use the corresponding light language of the warning module to prompt that the test paper does not match before the test starts. After the test starts, the central processor will determine it as an abnormal behavior and conduct an abnormal behavior review through the abnormal behavior determination module;

[0090] This enables timely discovery and review of abnormal behaviors of candidates during the mock test after the test begins, so as to simulate a regular listening test. This allows candidates to test their own level after the mock test and analyze the impact of their own mentality on the test questions. At the same time, it allows candidates to strictly require their answering habits to comply with regular test standards. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0092] Figure 1 A block diagram of an examinee feature detection system based on artificial intelligence of the present invention;

[0093] Figure 2 It is a schematic diagram of a top view of the NFC tag reading module 1, the NFC tag reading module 2 and the warning module on the examination table of the present invention;

[0094] Figure 3 It is a top view of NFC tag 1 and NFC tag 2 of the present invention on the test paper;

[0095] Figure 4 It is a schematic diagram of the heart rate spectrum of the present invention;

[0096] Figure 5 A schematic diagram of a heart rate and test question association graph of the present invention.

[0097] The numbers in the figure represent:

[0098] 1. Central processing unit 2. Wireless communication module 3. NFC tag reading module one 4. NFC tag reading module two 5. Warning module 6. NFC tag one 7. NFC tag two 8. Communication base station 9. Candidate feature detection module 10. Intelligent examination management platform 11. Cloud database 12. Examination decision module 13. Abnormal behavior determination module 14. Candidate psychological state assessment module DETAILED DESCRIPTION

[0099] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0100] The “left”, “right”, “front”, “back”, “up” and “down” mentioned in the following description of the present invention are oriented in the viewing direction of the top view.

[0101] The present invention will be further described below in conjunction with the embodiments.

[0102] Example 1: Please refer to the attached drawings of the specification Figure 1-Figure 5 , an examinee feature detection system based on artificial intelligence, comprising a plurality of control identification reminder systems, an intelligent examination data management system, a communication base station 8, at least one examinee feature detection module 9, an examination decision module 12, an abnormal behavior determination module 13 and an examinee psychological state assessment module 14;

[0103] The control identification reminder system is connected in communication with the intelligent test data management system, the intelligent test data management system is connected in communication with the communication base station 8, the test decision module 12, the abnormal behavior determination module 13 and the examinee psychological state assessment module 14, the examinee feature detection module 9 is connected in wireless communication with the communication base station 8, and the communication base station 8 is connected in wireless communication with the control identification reminder system;

[0104] The examinee feature detection module 9 is used to detect the heart rate of the examinee in the examination room during the listening test and generate a heart rate spectrum. The examinee feature detection module 9 sends the generated heart rate spectrum to the communication base station 8, and the communication base station 8 sends the heart rate spectrum to the intelligent test data management system;

[0105] The horizontal axis of the heart rate graph represents the test time, and the vertical axis of the heart rate graph represents the heart rate;

[0106] Multiple control identification reminder systems are matched one by one with the examination tables in the examination room;

[0107] The control identification reminder system includes a central processor 1, a wireless communication module 2, an NFC tag reading module 1 3, an NFC tag reading module 2 4, a warning module 5, an NFC tag 1 6 and an NFC tag 2 7;

[0108] The central processor 1 is electrically connected to the wireless communication module 2, the NFC tag reading module 1 3, the NFC tag reading module 2 4, and the warning module 5; the NFC tag reading module 1 3 is wirelessly connected to the NFC tag 1 6 and the NFC tag 2 7; the NFC tag reading module 2 4 is wirelessly connected to the NFC tag 1 6 and the NFC tag 2 7; and the wireless communication module 2 is wirelessly connected to the communication base station 8;

[0109] The NFC tag reading module 1 3 and the NFC tag reading module 2 4 are fixedly installed at the left front corner and the right front corner of the examination table respectively, and the centers of the NFC tag reading module 1 3 and the NFC tag reading module 2 4 are located on the same straight line;

[0110] The NFC tag 1 6 and the NFC tag 2 7 are respectively adhered to the left front corner and the right front corner of the test paper, and the centers of the NFC tag 1 6 and the NFC tag 2 7 are located on the same straight line;

[0111] The center distance L1 between the NFC tag reading module 1 3 and the NFC tag reading module 2 4 is equal to the center distance L2 between the NFC tag 1 6 and the NFC tag 2 7;

[0112] The NFC tag reading module 1 3 is also used to identify the NFC tag 1 6 or the NFC tag 2 7 in the listening test and send the presence signal 1 to the central processor 1. The NFC tag reading module 2 4 is also used to identify the NFC tag 1 6 or the NFC tag 2 7 in the listening test and send the presence signal 2 to the central processor 1.

[0113] The NFC tag 1 6 stores the examinee's identity information data, and the NFC tag reading module 1 3 and the NFC tag reading module 2 4 can read the examinee's identity information data stored in the NFC tag 1 6 and send it to the central processor 1;

[0114] The central processor 1 stores the examinee verification data for matching the examinee identity information stored in the NFC tag 6. The central processor 1 compares and verifies the received examinee identity information with the corresponding examinee verification data. When the examinee identity information of the central processor 1 and the corresponding examinee verification data fail to be verified, step A is adopted:

[0115] Step A1, the central processing unit 1 identifies the current examination time period;

[0116] When the test period is before the listening test, execute step A2;

[0117] When the test period is during the listening test, execute step A3;

[0118] Step A2, the central processor 1 sends an identity information mismatch signal to the warning module 5;

[0119] Step A3, the central processor 1 sends a test paper position abnormality signal recording the examinee's identity information to the wireless communication module 2;

[0120] The central processing unit 1 determines the presence signal 1 and the presence signal 2, and adopts step B:

[0121] Step B1, the central processing unit 1 detects whether the presence signal 1 and the presence signal 2 are both recognized;

[0122] When any one or both of the presence signal 1 and the presence signal 2 are not recognized;

[0123] Step B2, the central processor 1 identifies whether the unrecognized time exceeds 10 seconds. If the unrecognized time exceeds 10 seconds, step B3 is executed;

[0124] When the unrecognized time does not exceed 10 seconds, execute step B4;

[0125] Step B3, the central processor 1 sends a test paper return abnormality signal recording the examinee's identity information to the wireless communication module 2;

[0126] Step B4, the central processing unit 1 sends a test paper return reminder signal to the warning module 5;

[0127] The warning module 5 is used to send out corresponding warning light language when receiving the identity information mismatch signal and the test paper return reminder signal;

[0128] The wireless communication module 2 is used to send the test paper position abnormality signal and the test paper return abnormality signal to the communication base station 8, and then the communication base station 8 sends it to the intelligent test data management system;

[0129] The intelligent test data management system stores test room video surveillance data and listening test mentality auxiliary materials;

[0130] The intelligent test data management system is used to send the received test paper position abnormal signal and test paper return abnormal signal to the abnormal behavior determination module 13;

[0131] The intelligent test data management system is also used to send the received heart rate graph to the examinee's psychological state assessment module 14. At the same time, the intelligent test data management system continuously marks the question number of each test question in the listening test on the test time of the heart rate graph according to its playback time and generates a heart rate and test question association graph. The intelligent test data management system stores the heart rate and test question association graph;

[0132] The abnormal behavior determination module 13 is used to determine the abnormal behavior of the examinee according to the abnormal signal of the test paper returning to the position and the abnormal signal of the test paper position;

[0133] The examinee's psychological state assessment module 14 is used to analyze the examinee's heart rate spectrum to assess the examinee's psychological state during the examination.

[0134] When the present invention is used, the NFC tag reading module 1 3 cooperates with the NFC tag 1 6 and the NFC tag 2 7, and the NFC tag reading module 2 4 cooperates with the NFC tag 1 6 and the NFC tag 2 7, so as to limit the answer area of ​​the test paper on the desktop and bind the test paper with the examinee information at the same time, and remind the examinee whose test paper exceeds the answer area within the specified time through the warning module 5, and at the same time, the examinee whose test paper exceeds the answer area beyond the specified time is determined as abnormal behavior by the central processor 1, and the abnormal behavior is reviewed by the abnormal behavior determination module 13;

[0135] The central processor 1 also detects during the listening test that the test paper is in the wrong candidate's position, and before the test begins, the corresponding light language of the warning module 5 prompts that the test paper does not match. After the test begins, the central processor 1 determines it as an abnormal behavior, and conducts an abnormal behavior review through the abnormal behavior determination module 13;

[0136] This enables timely discovery and review of abnormal behaviors of candidates during the mock test after the test begins, so as to simulate a regular listening test, thereby enabling candidates to test their own level and analyze the impact of their own mentality on the test questions. At the same time, it allows candidates to strictly require their answering habits to comply with regular test standards.

[0137] When the present invention is used, the NFC tag reading module 1 3 and the NFC tag reading module 2 4 respectively form two rectangular areas to limit the NFC tag 1 6 and the NFC tag 2 7, and the NFC tag 1 6 and the NFC tag 2 7 can be sensed at any position in the rectangular area;

[0138] When the present invention is used, the setting of the rectangular area enables examinees to strictly arrange the test papers when answering questions in the simulated test, so as to avoid interference and cheating among examinees due to incorrect placement of the test papers in the regular listening test, thereby affecting the test results.

[0139] Example 2: Figure 1-Figure 5 As shown, as a preferred embodiment of the present invention, the intelligent test data management system includes an intelligent test management platform 10 and a cloud database 11;

[0140] The intelligent test management platform 10 is connected to the cloud database 11, the test decision module 12, the abnormal behavior determination module 13 and the examinee psychological state assessment module 14, and the intelligent test management platform 10 is connected to the communication base station 8 by wireless communication;

[0141] The communication base station 8 sends the heart rate spectrum to the intelligent test management platform 10, and the intelligent test management platform 10 sends the heart rate spectrum to the examinee's psychological state assessment module 14;

[0142] The communication base station 8 sends the test paper position abnormality signal and the test paper return abnormality signal to the intelligent test management platform 10, and then the intelligent test management platform 10 sends it to the abnormal behavior determination module 13;

[0143] The intelligent test management platform 10 continuously marks the question number of each test question in the listening test on the test time of the heart rate map according to its playing time and generates a heart rate and test question association map. The intelligent test management platform 10 sends the heart rate and test question association map to the cloud database 11;

[0144] The cloud database 11 is used for cloud storage of examination room video surveillance data, listening test mentality auxiliary materials, and heart rate and test question correlation maps.

[0145] The abnormal behavior determination module 13 determines the abnormal behavior of the examinee according to the abnormal signal of the test paper returning to the position, and adopts step C:

[0146] Step C1, whether the abnormal behavior determination module 13 receives an abnormal signal of returning the examination paper to its original position;

[0147] Step C2, if no, return to step C1;

[0148] If yes, go to step C3;

[0149] Step C3, the abnormal behavior determination module 13 retrieves the examination room monitoring data of 30 seconds before and after the time point of receiving the abnormal signal of the test paper returning to the abnormal behavior determination module 13 stored in the cloud database 11 through the intelligent test management platform 10, and locates the examinee through the face recognition algorithm, and at the same time selects the examinee through the video selection algorithm and generates abnormal proof video data 1;

[0150] Step C4, the abnormal behavior determination module 13 sends the abnormality proof video data 1 to manual review to determine whether the examinee and his / her neighbor have violated any rules in the examination;

[0151] Step C5, when the manual review determines that the examinee has violated the rules, the abnormal behavior determination module 13 sends the abnormality proof video data 1 to the intelligent examination management platform 10, and then the intelligent examination management platform 10 sends it to the cloud database 11 for storage;

[0152] At the same time, the abnormal behavior determination module 13 determines that the examinee has violated the rules, and the abnormal behavior determination module 13 generates a candidate violation signal and sends it to the intelligent test management platform 10, and the intelligent test management platform 10 sends it to the test decision module 12 and the examinee psychological state assessment module 14;

[0153] Step C6, when manual review determines that the examinee has not violated any rules, the abnormal behavior determination module 13 destroys the abnormality proof video data 1.

[0154] The abnormal behavior determination module 13 determines the abnormal behavior of the examinee according to the abnormal signal of the test paper position, and adopts step D:

[0155] Step D1, whether the abnormal behavior determination module 13 receives an abnormal signal of the position of the test paper;

[0156] Step D2, if no, return to step D1;

[0157] If yes, go to step D3;

[0158] Step D3, the abnormal behavior determination module 13 retrieves the examination room monitoring data of 30 seconds before and after the time point of receiving the abnormal signal of the examination paper position of the abnormal behavior determination module 13 stored in the cloud database 11 through the intelligent examination management platform 10, and locates the examinee through the face recognition algorithm, and selects the examinee through the video selection algorithm and generates abnormal proof video data 2;

[0159] Step D4, the abnormal behavior determination module 13 sends the abnormality proof video data 2 to manual review to determine whether the examinee and his / her neighbor have violated any rules in the examination;

[0160] Step D5, when the manual review determines that the examinee has violated the rules, the abnormal behavior determination module 13 sends the abnormality proof video data 2 to the intelligent examination management platform 10, and then the intelligent examination management platform 10 sends it to the cloud database 11 for storage;

[0161] At the same time, the abnormal behavior determination module 13 determines that the examinee has violated the rules, and the abnormal behavior determination module 13 generates a candidate violation signal and sends it to the intelligent test management platform 10, which is then sent by the intelligent test management platform 10 to the test decision module 12 and the examinee psychological state assessment module 14;

[0162] Step D6, when manual review determines that the examinee has not violated any rules, the abnormal behavior determination module 13 destroys the abnormality proof video data 2.

[0163] When the present invention is used, the examination room monitoring data of 30 seconds before and after the reception time point of the abnormal test paper position signal or the abnormal test paper return signal of the abnormal behavior judgment module 13 is retrieved, and the violating examinees in the video data are identified and selected, thereby facilitating manual review of the abnormal proof video data and facilitating the collection of evidence of examinees' violations.

[0164] The candidate's psychological state assessment module 14 analyzes and assesses the candidate's heart rate spectrum and adopts step E:

[0165] Step E1, whether the examinee's psychological state assessment module 14 receives an examinee's violation signal;

[0166] Step E2, if yes, go to step E3;

[0167] If yes, execute step E4;

[0168] Step E3, the examinee's psychological state assessment module 14 counts the time when the examinee's heart rate exceeds 100 beats per minute in the heart rate spectrum and calculates whether the time accounts for more than one third of the entire listening test;

[0169] If yes, the examinee's psychological state assessment module 14 assesses that the examinee's psychological state is poor, and at the same time, the examinee's psychological state assessment module 14 generates a psychological state assessment report recording the examinee's identity information and the psychological state assessment being poor;

[0170] If not, the examinee's psychological state assessment module 14 assesses that the examinee's psychological state is normal, and at the same time, the examinee's psychological state assessment module 14 generates a psychological state assessment report that records the examinee's identity information and the psychological state assessment is normal;

[0171] At the same time, the examinee's psychological state assessment module 14 sends the ability assessment report to the intelligent examination management platform 10, which then sends it to the examination decision module 12;

[0172] Step E4: the examinee's psychological state assessment module 14 does not analyze and assess the examinee's heart rate spectrum.

[0173] When the present invention is used, the heart rate spectrum is analyzed and processed by the examinee's psychological state assessment module 14, examinees with normal psychological state for the test are screened out and the examinee's heart rate spectrum is processed into a heart rate and test question association spectrum, so that the examinee's heart rate data during the playback time period of each test question in the test is clear at a glance.

[0174] It also includes an examination decision module 12 for making decisions by writing data content in the NFC tag 2 7 after the listening test is completed. The examination decision module 12 is connected to the intelligent examination management platform 10 for communication.

[0175] The test decision module 12 makes a decision on the data content written into the NFC tag 2 7 after the listening test is completed, and adopts step F:

[0176] Step F1, when the test decision module 12 receives a signal of a candidate's violation, the test decision module 12 retrieves the abnormality proof video data 1 or abnormality proof video data 2 access link corresponding to the candidate in the cloud database 11 through the intelligent test management platform 10, and then the intelligent test management platform 10 sends the access link to the communication base station 8, the communication base station 8 sends it to the wireless communication module 2, the wireless communication module 2 sends it to the central processor 1, and the central processor 1 writes the abnormality proof video data access link into the NFC tag 2 7 through the NFC tag reading module 1 3 or the NFC tag reading module 2 4;

[0177] Step F2, when the test decision module 12 receives the psychological state evaluation report, the test decision module 12 identifies the evaluation content of the psychological state evaluation report;

[0178] Step F3, when the psychological state is evaluated as poor, the test decision module 12 determines that the examinee has not been able to cope well in this listening test, and the test decision module 12 retrieves the listening test mentality auxiliary material access link stored in the cloud database 11 through the intelligent test management platform 10, and then the intelligent test management platform 10 sends the access link to the communication base station 8, the communication base station 8 sends it to the wireless communication module 2, the wireless communication module 2 sends it to the central processor 1, and the central processor 1 writes the listening test mentality auxiliary material access link into the NFC tag 2 7 through the NFC tag reading module 1 3 or the NFC tag reading module 2 4;

[0179] Step F4, when the psychological state is assessed as normal, the test decision module 12 determines that the examinee copes normally in this listening test, and the test decision module 12 retrieves the heart rate and test question association map access link stored in the cloud database 11 through the intelligent test management platform 10, and the intelligent test management platform 10 sends the access link to the communication base station 8, the communication base station 8 sends it to the wireless communication module 2, the wireless communication module 2 sends it to the central processor 1, and the central processor 1 writes the heart rate and test question association map access link into the NFC tag 2 7 through the NFC tag reading module 1 3 or the NFC tag reading module 2 4.

[0180] When the present invention is used, the NFC tag 2 7 is reused through the test decision module 12;

[0181] 1. The test decision module 12 writes a link to access the listening test mentality auxiliary materials into the NFC tag 2 7 on the test paper of the examinee with a poor test mentality. After the test, the examinee can take away the NFC tag 2 7, so that the examinee can read the link and access the study through the tag reading device smartphone, thereby helping the examinee improve his / her mental state;

[0182] Second, the examination decision module 12 writes a heart rate and test question association map access link to the NFC tag 27 on the test paper of the examinee who is in a normal psychological state. After the examination, the examinee can take away the NFC tag 27, so that the examinee can read the link through the tag reading device smart phone, so that the examinee can know the heart rate state of each question in the examination, and analyze and summarize the questions that are the source of stress in the examination;

[0183] 3. The examination decision module 12 writes an abnormality proof video data access link into the NFC tag 27 on the examination paper corresponding to the examinee who violates the examination rules. After the examination is completed, the NFC tag 27 on the examination paper can be retained as evidence of the examinee's violation, so that the examinee can experience the consequences of the violation and strictly demand himself in the formal examination.

[0184] The present invention distinguishes the functions of NFC tag 27 through the above three different decisions. For candidates with poor psychological state, normal psychological state, and candidates who violated the examination rules in this simulated examination, NFC tag 27 can give full play to its value.

[0185] Example 3: Figure 1-Figure 5 As shown, as a preferred embodiment of the present invention, the examinee feature detection module 9 is a wireless millimeter wave radar;

[0186] Preferably, the start time of the heart rate graph test time is the playback time of the first question of the listening test, and the end time of the heart rate graph test time is the playback end time of the last question of the listening test; preferably, the warning module 5 flashes a red light when it receives an identity information mismatch signal, and flashes a yellow light when it receives a test paper return reminder signal.

[0187] When the present invention is used, the warning module 5 flashes different lights for the two situations of identity information mismatch and test paper return reminder, thereby simulating the process of candidate identity confirmation in a formal listening test and training candidates to strictly follow the test paper answering standards, avoiding candidates from violating regulations due to irregular answering habits (randomly placing test papers) and affecting their scores.

[0188] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An examinee feature detection system based on artificial intelligence, characterized in that: It includes a plurality of control identification reminder systems, an intelligent test data management system, a communication base station (8), a test taker feature detection module (9), a test decision module (12), an abnormal behavior determination module (13) and a test taker psychological state assessment module (14); The control identification reminder system is connected in communication with the intelligent test data management system, the intelligent test data management system is connected in communication with the communication base station (8), the test decision module (12), the abnormal behavior determination module (13) and the examinee psychological state assessment module (14), the examinee feature detection module (9) is connected in wireless communication with the communication base station (8), and the communication base station (8) is connected in wireless communication with the control identification reminder system; The examinee characteristic detection module (9) is used to detect the heart rate of the examinee in the examination room during the listening test and generate a heart rate spectrum. The examinee characteristic detection module (9) sends the generated heart rate spectrum to the communication base station (8), and the communication base station (8) sends the heart rate spectrum to the intelligent examination data management system; The horizontal axis of the heart rate spectrum represents the test time, and the vertical axis of the heart rate spectrum represents the heart rate; The multiple control identification reminder systems are matched one by one with the examination tables in the examination room; The control identification and reminder system comprises a central processing unit (1), a wireless communication module (2), an NFC tag reading module 1 (3), an NFC tag reading module 2 (4), a warning module (5), an NFC tag 1 (6) and an NFC tag 2 (7); The central processor (1) is electrically connected to the wireless communication module (2), the NFC tag reading module 1 (3), the NFC tag reading module 2 (4), and the warning module (5); the NFC tag reading module 1 (3) is wirelessly connected to the NFC tag 1 (6) and the NFC tag 2 (7); the NFC tag reading module 2 (4) is wirelessly connected to the NFC tag 1 (6) and the NFC tag 2 (7); and the wireless communication module (2) is wirelessly connected to the communication base station (8); The NFC tag reading module 1 (3) and the NFC tag reading module 2 (4) are fixedly installed at the left front corner and the right front corner of the examination table respectively, and the centers of the NFC tag reading module 1 (3) and the NFC tag reading module 2 (4) are located on the same straight line; The NFC tag 1 (6) and the NFC tag 2 (7) are respectively adhered to the left front corner and the right front corner of the test paper, and the centers of the NFC tag 1 (6) and the NFC tag 2 (7) are located on the same straight line; The center distance L1 between the NFC tag reading module 1 (3) and the NFC tag reading module 2 (4) is equal to the center distance L2 between the NFC tag 1 (6) and the NFC tag 2 (7); The NFC tag reading module 1 (3) is also used to identify the NFC tag 1 (6) or the NFC tag 2 (7) in the listening test and send the presence signal 1 to the central processor (1); the NFC tag reading module 2 (4) is also used to identify the NFC tag 1 (6) or the NFC tag 2 (7) in the listening test and send the presence signal 2 to the central processor (1); The NFC tag 1 (6) stores the examinee's identity information data, and the NFC tag reading module 1 (3) and the NFC tag reading module 2 (4) can read the examinee's identity information data stored in the NFC tag 1 (6) and send it to the central processor (1); The central processor (1) stores candidate verification data for matching the candidate identity information stored in the NFC tag (6). The central processor (1) compares and verifies the received candidate identity information with the corresponding candidate verification data. When the candidate identity information of the central processor (1) and the corresponding candidate verification data fail to be verified, step A is adopted: Step A1, the central processing unit (1) identifies the current examination time period; When the test period is before the listening test, execute step A2; When the test period is during the listening test, execute step A3; Step A2, the central processing unit (1) sends an identity information mismatch signal to the warning module (5); Step A3, the central processing unit (1) sends a test paper position abnormality signal recording the examinee's identity information to the wireless communication module (2); The central processing unit (1) judges the presence signal 1 and the presence signal 2, and adopts step B: Step B1, the central processing unit (1) detects whether both the presence signal 1 and the presence signal 2 are recognized; When any one or both of the presence signal 1 and the presence signal 2 are not recognized; Step B2, the central processing unit (1) determines whether the unrecognized time exceeds 10 seconds. If the unrecognized time exceeds 10 seconds, step B3 is executed; When the unrecognized time does not exceed 10 seconds, execute step B4; Step B3, the central processing unit (1) sends a test paper return abnormality signal recording the examinee's identity information to the wireless communication module (2); Step B4, the central processing unit (1) sends a test paper return reminder signal to the warning module (5); The warning module (5) is used to emit corresponding warning light language when receiving the identity information mismatch signal and the test paper return reminder signal; The wireless communication module (2) is used to send an abnormal test paper position signal and an abnormal test paper return signal to a communication base station (8), and the communication base station (8) then sends the signal to an intelligent test data management system; The intelligent test data management system stores test room video surveillance data and listening test mentality auxiliary materials; The intelligent test data management system is used to send the received test paper position abnormal signal and test paper return abnormal signal to the abnormal behavior determination module (13); The intelligent test data management system is also used to send the received heart rate graph to the test taker's psychological state assessment module (14). At the same time, the intelligent test data management system continuously marks the question number of each test question in the listening test on the test time of the heart rate graph according to its playing time and generates a heart rate and test question association graph. The intelligent test data management system stores the heart rate and test question association graph; The abnormal behavior determination module (13) is used to determine the abnormal behavior of the examinee according to the abnormal signal of the test paper returning to the original position and the abnormal signal of the test paper position; The examinee's psychological state assessment module (14) is used to analyze the examinee's heart rate spectrum to assess the examinee's psychological state during the examination.

2. The artificial intelligence-based examinee feature detection system according to claim 1, characterized in that: The intelligent examination data management system comprises an intelligent examination management platform (10) and a cloud database (11); The intelligent examination management platform (10) is connected to the cloud database (11), the examination decision module (12), the abnormal behavior determination module (13) and the examinee psychological state assessment module (14) by communication, and the intelligent examination management platform (10) is connected to the communication base station (8) by wireless communication; The communication base station (8) sends the heart rate spectrum to the intelligent examination management platform (10), and the intelligent examination management platform (10) sends the heart rate spectrum to the examinee's psychological state assessment module (14); The communication base station (8) sends the test paper position abnormality signal and the test paper return abnormality signal to the intelligent test management platform (10), and then the intelligent test management platform (10) sends it to the abnormal behavior determination module (13); The intelligent test management platform (10) continuously marks the question number of each test question in the listening test on the test time of the heart rate map according to the playing time of each test question and generates a heart rate and test question association map. The intelligent test management platform (10) sends the heart rate and test question association map to the cloud database (11); The cloud database (11) is used for cloud storage of examination room video monitoring data, listening test mentality auxiliary materials, and heart rate and test question association maps.

3. The artificial intelligence-based examinee feature detection system according to claim 2, characterized in that: The abnormal behavior determination module (13) determines the abnormal behavior of the examinee according to the abnormal signal of the test paper returning to the position, and adopts step C: Step C1, whether the abnormal behavior determination module (13) receives an abnormal signal of returning the examination paper to its original position; Step C2, if no, return to step C1; If yes, go to step C3; Step C3, the abnormal behavior determination module (13) retrieves the examination room monitoring data of 30 seconds before and after the examination paper return abnormal signal receiving time point of the abnormal behavior determination module (13) stored in the cloud database (11) through the intelligent examination management platform (10), and locates the examinee through the face recognition algorithm, and at the same time selects the examinee through the video selection algorithm and generates abnormal proof video data 1; Step C4, the abnormal behavior determination module (13) sends the abnormality proof video data 1 to manual review to determine whether the examinee and his / her neighbor have violated any rules during the examination; Step C5, when the manual review determines that the examinee has violated the rules, the abnormal behavior determination module (13) sends the abnormality proof video data to the intelligent examination management platform (10), and then the intelligent examination management platform (10) sends it to the cloud database (11) for storage; At the same time, the abnormal behavior determination module (13) determines that the examinee has violated the rules, the abnormal behavior determination module (13) generates an examinee violation signal and sends it to the intelligent examination management platform (10), and the intelligent examination management platform (10) sends it to the examination decision module (12) and the examinee psychological state assessment module (14); Step C6, when manual review determines that the examinee has not violated any rules, the abnormal behavior determination module (13) destroys the abnormality proof video data 1.

4. The artificial intelligence-based examinee feature detection system according to claim 3 is characterized in that: The abnormal behavior determination module (13) determines the abnormal behavior of the examinee according to the abnormal signal of the position of the test paper, and adopts step D: Step D1, whether the abnormal behavior determination module (13) receives an abnormal signal of the position of the test paper; Step D2, if no, return to step D1; If yes, go to step D3; Step D3, the abnormal behavior determination module (13) retrieves the examination room monitoring data of 30 seconds before and after the time point of receiving the abnormal signal of the examination paper position of the abnormal behavior determination module (13) stored in the cloud database (11) through the intelligent examination management platform (10), and locates the examinee through the face recognition algorithm, and at the same time selects the examinee through the video selection algorithm and generates abnormality proof video data 2; Step D4, the abnormal behavior determination module (13) sends the abnormality proof video data 2 to manual review to determine whether the examinee and his / her neighbor have violated any rules during the examination; Step D5, when the manual review determines that the examinee has violated the rules, the abnormal behavior determination module (13) sends the abnormality proof video data 2 to the intelligent examination management platform (10), and then the intelligent examination management platform (10) sends it to the cloud database (11) for storage; At the same time, the abnormal behavior determination module (13) determines that the examinee has violated the rules, and the abnormal behavior determination module (13) generates an examinee violation signal and sends it to the intelligent examination management platform (10), which is then sent by the intelligent examination management platform (10) to the examination decision module (12) and the examinee psychological state assessment module (14); Step D6, when manual review determines that the examinee has not violated any rules, the abnormal behavior determination module (13) destroys the abnormality proof video data 2.

5. The artificial intelligence-based examinee feature detection system according to claim 4, characterized in that: The examinee's psychological state assessment module (14) analyzes and assesses the examinee's heart rate spectrum and adopts step E: Step E1, whether the candidate's psychological state assessment module (14) receives a candidate's violation signal; Step E2, if yes, go to step E3; If yes, execute step E4; Step E3, the candidate's psychological state assessment module (14) counts the time when the candidate's heart rate exceeds 100 beats per minute in the heart rate spectrum and calculates whether the time accounts for more than one third of the entire listening test; If yes, the examinee's psychological state assessment module (14) assesses that the examinee's psychological state is poor, and at the same time, the examinee's psychological state assessment module (14) generates a psychological state assessment report recording the examinee's identity information and the psychological state assessment being poor; If the answer is no, the examinee's psychological state assessment module (14) assesses that the examinee's psychological state is normal, and at the same time, the examinee's psychological state assessment module (14) generates a psychological state assessment report recording the examinee's identity information and indicating that the psychological state is normal; At the same time, the examinee's psychological state assessment module (14) sends the ability assessment report to the intelligent examination management platform (10), which then sends it to the examination decision module (12); Step E4: the examinee's psychological state assessment module (14) does not analyze and assess the examinee's heart rate spectrum.

6. The artificial intelligence-based examinee feature detection system according to claim 5, characterized in that: It also includes an examination decision module (12) for writing data content in the NFC tag 2 (7) to make a decision after the listening test is completed, and the examination decision module (12) is communicatively connected to the intelligent examination management platform (10).

7. The artificial intelligence-based examinee feature detection system according to claim 6, characterized in that: The test decision module (12) makes a decision on the data content written into the NFC tag 2 (7) after the listening test is completed, and adopts step F: Step F1, when the examination decision module (12) receives a signal indicating that the examinee has violated the rules, the examination decision module (12) retrieves the abnormality proof video data 1 or abnormality proof video data 2 access link corresponding to the examinee in the cloud database (11) through the intelligent examination management platform (10), and then the intelligent examination management platform (10) sends the access link to the communication base station (8), the communication base station (8) sends it to the wireless communication module (2), the wireless communication module (2) sends it to the central processing unit (1), and the central processing unit (1) writes the abnormality proof video data access link into the NFC tag 2 (7) through the NFC tag reading module 1 (3) or the NFC tag reading module 2 (4); Step F2, when the examination decision module (12) receives the psychological state evaluation report, the examination decision module (12) identifies the evaluation content of the psychological state evaluation report; Step F3, when the psychological state is evaluated as poor, the test decision module (12) determines that the examinee has not been able to cope well in the listening test, and the test decision module (12) retrieves the listening test mentality auxiliary material access link stored in the cloud database (11) through the intelligent test management platform (10), and then the intelligent test management platform (10) sends the access link to the communication base station (8), the communication base station (8) sends it to the wireless communication module (2), the wireless communication module (2) sends it to the central processor (1), and the central processor (1) writes the listening test mentality auxiliary material access link into the NFC tag 2 (7) through the NFC tag reading module 1 (3) or the NFC tag reading module 2 (4); Step F4, when the psychological state is assessed as normal, the test decision module (12) determines that the examinee has responded normally in the listening test, and the test decision module (12) retrieves the heart rate and test question association map access link stored in the cloud database (11) through the intelligent test management platform (10), and the intelligent test management platform (10) sends the access link to the communication base station (8), the communication base station (8) sends it to the wireless communication module (2), the wireless communication module (2) sends it to the central processor (1), and the central processor (1) writes the heart rate and test question association map access link into the NFC tag two (7) through the NFC tag reading module one (3) or the NFC tag reading module two (4).

8. The artificial intelligence-based examinee feature detection system according to claim 7, characterized in that: The examinee feature detection module (9) is a wireless millimeter wave radar.

9. The artificial intelligence-based examinee feature detection system according to claim 8, characterized in that: The start time of the heart rate graph test time is the playing time of the first question of the listening test, and the end time of the heart rate graph test time is the playing end time of the last question of the listening test; The warning module (5) flashes a red light when it receives a signal indicating that the identity information does not match, and flashes a yellow light when it receives a signal indicating that the examination paper has been returned to its original position.

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