Training method and device for aphasia patient, medium and equipment

Abstract

The invention discloses a training method and device for an aphasia patient, a medium and equipment. The training method comprises the following steps: receiving a training request of the aphasia patient; outputting training content to the aphasia patient; wherein the training content comprises voice playing, image displaying and character displaying; acquiring input information of the aphasia patient; wherein the input information comprises reply information given by the aphasia patient based on the training content; based on the input information, evaluating the aphasia patient to obtain an evaluation result; adjusting the training content of the aphasia patient based on the evaluation result; in the aphasia training process, the training content is output, the input information of the aphasia patient is obtained, the aphasia patient is evaluated based on the input information, the training content of the aphasia patient is adjusted according to the evaluation result, and therefore the training content suitable for the aphasia patient can be generated. The aphasia training effect can be improved, the emotion of the patient can be cared, and the training enthusiasm of the patient can be guaranteed.

Description

Technical Field

[0001] The present application relates to the technical field of aphasia training, and in particular to a training method, device, medium and equipment for aphasia patients. Background Art

[0002] Aphasia is one of the common complications of stroke patients. It is caused by the damage of the conduction bundles connecting the language center of the brain after stroke, resulting in speech disorders. The main manifestations are clear consciousness, no mental disorders, no serious cognitive disorders, inability to understand other people's speech, inability to express what they want to express, inability to understand or write words and sentences that they could read and write before the onset of the disease, etc., causing damage to the patient's ability to understand and express the human communication symbol system, especially the understanding and expression of components such as voice, vocabulary, grammar, language structure, and the content and meaning of language, as well as the decline and functional damage of the language cognitive process as the basis of language. Aphasia training is a long and arduous task that requires multi-faceted training in listening, speaking, reading, writing, and calculation for patients. Aphasia training for the elderly after stroke is a long and arduous task that requires patience. Therefore, in the process of language training, the key is the active participation of patients, understanding of the dynamic changes in the patient's psychology, and providing timely psychological counseling to keep the patient emotionally stable.

[0003] Existing aphasia training methods mostly adopt a unified model to provide language training for aphasia patients. However, different patients, such as those of different ages and different degrees of illness, will have different training intensity requirements. Therefore, a method is needed to improve the training adaptability and training effect of aphasia patients. Summary of the invention

[0004] In order to solve the above technical problems, the present application is proposed. The embodiments of the present application provide a training method, device, medium and equipment for aphasia patients.

[0005] According to one aspect of the present application, a training method for an aphasia patient is provided, comprising: receiving a training request from an aphasia patient; outputting training content to the aphasia patient; wherein the training content includes playing voice, displaying images, and displaying text; obtaining input information from the aphasia patient; wherein the input information includes reply information given by the aphasia patient based on the training content; based on the input information, evaluating the aphasia patient to obtain an evaluation result; and based on the evaluation result, adjusting the training content for the aphasia patient.

[0006] In one embodiment, the input information includes the aphasic patient following the playback voice input; wherein, based on the input information, the aphasic patient is evaluated to obtain the evaluation result, including: comparing the similarity between the follow-up voice and the playback voice to obtain the evaluation result.

[0007] In one embodiment, the input information includes cognitive speech recognized by the aphasic patient as input from the display image; wherein, based on the input information, the aphasic patient is evaluated to obtain an evaluation result, including: identifying semantic information of the cognitive speech; and obtaining the evaluation result based on the semantic information of the cognitive speech and the semantic information contained in the display image.

[0008] In one embodiment, the input information includes the reading voice of the aphasic patient reading the displayed text input; wherein, the aphasic patient is evaluated based on the input information to obtain the evaluation result, including: identifying the text information of the reading voice; and obtaining the evaluation result based on the text information of the reading voice and the displayed text.

[0009] In one embodiment, the training method for aphasia patients also includes: obtaining movement information of the aphasia patient; wherein the movement information includes body movements of the aphasia patient; identifying the movement information to obtain the true intention of the aphasia patient; and evaluating the aphasia patient based on the input information to obtain the evaluation result includes: evaluating the aphasia patient based on the input information and the true intention to obtain the evaluation result.

[0010] In one embodiment, identifying the action information and obtaining the true intention of the aphasia patient includes: inputting the action information into a true intention recognition model to obtain the true intention of the aphasia patient; wherein the true intention recognition model is obtained by training the aphasia patient with multiple body movements and corresponding intentions.

[0011] In one embodiment, the training method for aphasia patients further includes: acquiring facial expression information of the aphasia patient; identifying the facial expression information to obtain the urgency level of the aphasia patient; and issuing an alarm if the urgency level is greater than a preset urgency level threshold.

[0012] According to another aspect of the present application, a training device for an aphasia patient is provided, comprising: a training request receiving module for receiving a training request from an aphasia patient; a training content output module for outputting training content to the aphasia patient; wherein the training content includes playing voice, displaying images, and displaying text; an input information acquisition module for acquiring input information from the aphasia patient; wherein the input information includes reply information given by the aphasia patient based on the training content; an evaluation result generating module for evaluating the aphasia patient based on the input information to obtain an evaluation result; and a training content adjustment module for adjusting the training content for the aphasia patient based on the evaluation result.

[0013] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the storage medium stores a computer program, and the computer program is used to execute any of the above-mentioned methods.

[0014] According to another aspect of the present application, an electronic device is provided, comprising: a processor; a memory for storing instructions executable by the processor; and the processor is used to execute any of the above-described methods.

[0015] The present application provides a training method, device, medium and equipment for aphasia patients, which receive a training request from an aphasia patient; output training content to the aphasia patient; wherein the training content includes playing voice, displaying images, and displaying text; obtain input information from the aphasia patient; wherein the input information includes reply information given by the aphasia patient based on the training content; based on the input information, evaluate the aphasia patient to obtain an evaluation result; based on the evaluation result, adjust the training content for the aphasia patient; that is, during the aphasia training process, by outputting training content and obtaining the input information of the aphasia patient, evaluate the aphasia patient based on the input information, so as to adjust the training content for the aphasia patient according to the evaluation result, thereby generating training content suitable for the aphasia patient, which can not only improve the effect of aphasia training, but also take care of the patient's emotions to ensure his training enthusiasm. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] By describing the embodiments of the present application in more detail in conjunction with the accompanying drawings, the above and other purposes, features and advantages of the present application will become more apparent. The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation of the present application. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0017] Figure 1 It is a flowchart of a training method for aphasia patients provided by an exemplary embodiment of the present application.

[0018] Figure 2 It is a schematic diagram of the structure of a training device for aphasia patients provided by an exemplary embodiment of the present application.

[0019] Figure 3 It is a structural diagram of an electronic device provided by an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0020] Below, the exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described here.

[0021] Figure 1 FIG. 1 is a flow chart of a training method for aphasia patients provided by an exemplary embodiment of the present application. Figure 1 As shown, the training method for aphasia patients includes the following steps:

[0022] Step 110: Receive a training request from an aphasia patient.

[0023] The present application can use an aphasia training device to train aphasia patients. The aphasia patients turn on the aphasia training device manually or by voice control. The aphasia training device can start aphasia training after receiving the training request (i.e., the start instruction) from the aphasia patient.

[0024] Step 120: Output training content to the aphasia patient.

[0025] The training content includes playing voice, displaying images, and displaying text. The aphasia training device outputs training content to the aphasia patient during the training process. Specifically, it can play voice, images, or text on the device to help the aphasia patient train listening, reading, speaking and other items.

[0026] Step 130: Obtain input information from the aphasia patient.

[0027] The input information includes the response information given by the aphasia patient based on the training content. During the training process, the aphasia training device obtains the input information of the aphasia patient to achieve interactive training with the aphasia patient, thereby training the aphasia patient in a learning and fun way, thereby improving their enthusiasm and interest in training.

[0028] Step 140: Based on the input information, the aphasia patient is evaluated to obtain an evaluation result.

[0029] After obtaining the input information of the aphasia patient, the aphasia training device evaluates the aphasia patient based on the input information of the aphasia patient to determine the degree of the aphasia patient and the degree of training completion, etc.

[0030] Step 150: Based on the evaluation results, adjust the training content for the aphasia patient.

[0031] After obtaining the evaluation results of the aphasia patients, the training content of the aphasia patients is adjusted based on the evaluation results. For example, the training level of the aphasia patients is determined according to their input information during the initial training, and after a period of training or a certain number of courses, the aphasia patients are evaluated again, and the training content and training mode are adjusted according to the evaluation results to ensure the training effect, and the training mode and training content are adjusted to increase freshness, thereby increasing the training interest of the aphasia patients.

[0032] The present application provides a training method for an aphasia patient, which comprises receiving a training request from an aphasia patient; outputting training content to the aphasia patient; wherein the training content includes playing voice, displaying images, and displaying text; obtaining input information from the aphasia patient; wherein the input information includes reply information given by the aphasia patient based on the training content; based on the input information, evaluating the aphasia patient to obtain an evaluation result; and adjusting the training content for the aphasia patient based on the evaluation result; that is, during the aphasia training process, by outputting training content and obtaining the input information of the aphasia patient, evaluating the aphasia patient based on the input information, so as to adjust the training content for the aphasia patient according to the evaluation result, thereby generating training content suitable for the aphasia patient, which can not only improve the effect of aphasia training, but also take care of the patient's emotions to ensure his training enthusiasm.

[0033] In one embodiment, the input information includes the follow-up voice of the aphasic patient following the played voice input; wherein, the specific implementation method of the above step 140 may be: comparing the similarity between the follow-up voice and the played voice to obtain an evaluation result.

[0034] The aphasia training device can play a voice and record the aphasia patient's follow-up voice after playing the voice. That is, by playing a voice and recording the aphasia patient's follow-up voice, and then comparing the similarity between the played voice and the follow-up voice, the aphasia patient's follow-up result can be evaluated.

[0035] It should be understood that the present application can adaptively adjust the length and difficulty of the played voice according to the aphasia patient's follow-up reading results. For example, if the aphasia patient's follow-up reading results are poor, the difficulty of the played voice can be appropriately reduced, and the length of the played voice can be shortened to adapt to the training intensity of the aphasia patient and ensure its training effect.

[0036] In one embodiment, the input information includes cognitive speech of an aphasic patient identifying a displayed image input; wherein the specific implementation method of the above step 140 may be: recognizing semantic information of the cognitive speech; and obtaining an evaluation result based on the semantic information of the cognitive speech and the semantic information contained in the displayed image.

[0037] The aphasia training device can display an image and receive the aphasia patient's cognitive speech of the image behind the displayed image. For example, images of various physical objects commonly used in life are displayed on the aphasia training device, and the aphasia patient's cognitive speech of the image is recorded. After identifying the semantic information of the cognitive speech, it is determined whether the aphasia patient has recognized it correctly, thereby obtaining an evaluation result.

[0038] It should be understood that when aphasic patients are undergoing image recognition training, they may not be able to accurately express the object even though they recognize it due to their insufficient language expression ability. Therefore, the present application can play the recognized semantic information to the aphasic patients in the form of text or voice when recognizing cognitive speech, and the aphasic patients will judge whether the semantic information is the true expression of the aphasic patients. If so, an evaluation will be performed based on the semantic information. If not, the cognitive speech will be recognized again or the aphasic patients will input it again. At the same time, the proportion of speech training or text training can be increased and the proportion of image training can be reduced.

[0039] In one embodiment, the input information includes the reading voice of the aphasic patient reading the displayed text input; wherein the specific implementation method of the above step 140 may be: recognizing the text information of the reading voice; and obtaining the evaluation result based on the text information of the reading voice and the displayed text.

[0040] The aphasia training device can generate a reading voice by displaying text and having the aphasia patient read the displayed text. After recording the reading voice, the device recognizes the text information of the reading voice and compares the text information with the displayed text to obtain the evaluation result of the aphasia patient, that is, to evaluate the aphasia patient's ability to understand text.

[0041] It should be understood that when conducting speech recognition training for reading aloud, the aphasic patient may not be able to express the displayed text accurately even though he or she recognizes it due to insufficient language expression ability. Therefore, the present application can play the recognized text information to the aphasic patient in the form of voice when recognizing the reading aloud voice, and the aphasic patient will judge whether the text information is the true expression of the aphasic patient. If so, an evaluation will be performed based on the text information. If not, the reading aloud voice will be recognized again or the aphasic patient will input it again. At the same time, the proportion of voice training can be increased and the proportion of text training can be reduced.

[0042] In one embodiment, the training method for the aphasia patient may further include: obtaining the action information of the aphasia patient; wherein the action information includes the body movements of the aphasia patient; identifying the action information to obtain the true intention of the aphasia patient; correspondingly, the specific implementation method of the above step 140 may be: based on the input information and the true intention, evaluating the aphasia patient to obtain the evaluation result.

[0043] Since the voice information expressed by different aphasia patients is different, especially for voices with accents or specific local languages, it is difficult for aphasia training equipment to accurately recognize the input information of aphasia patients. Therefore, the present application can be combined with the action information of aphasia patients. For example, aphasia patients can use some body movements to express their true intentions when inputting information. The present application can obtain the body movements of aphasia patients through devices such as cameras, such as hand movements, foot movements, eye movements, etc., and identify the true intentions of aphasia patients to determine their true expressions, and evaluate aphasia patients by comparing the input information with the true intentions to achieve personalized training.

[0044] In one embodiment, the true intention of the aphasia patient can be obtained by inputting the action information into a true intention recognition model to obtain the true intention of the aphasia patient; wherein the true intention recognition model is obtained by training the aphasia patient with various body movements and corresponding intentions.

[0045] Specifically, the present application uses a variety of body movements and corresponding true intentions of aphasia patients as training samples to train the true intention recognition model, so as to obtain a model that can accurately recognize the intentions of the body movements of aphasia patients. In actual applications, the movement information of aphasia patients is input into the true intention recognition model to obtain the true intentions of aphasia patients, thereby improving the efficiency and accuracy of obtaining the true intentions of aphasia patients.

[0046] In one embodiment, the above-mentioned training method for aphasia patients may further include: obtaining facial expression information of the aphasia patient; recognizing the facial expression information to obtain the urgency level of the aphasia patient; and issuing an alarm if the urgency level is greater than a preset urgency level threshold.

[0047] During the training process, the present application also implements obtaining the facial expression information of the aphasia patient, identifying the facial expression information to determine the urgency of the aphasia patient, and issuing an alarm when the urgency is high. For example, if the aphasia patient is impatient during the training process, it is likely to cause a blow to his training enthusiasm and even affect his condition. Therefore, when the facial expression information of the aphasia patient indicates that he is in a bad mood, an alarm is issued to inform the caregivers around him, especially the elderly who are alone. At this time, the remote emergency contact can be automatically dialed and the emergency contact can comfort him.

[0048] Figure 2 Schematic diagram of a training device for aphasia patients provided by an exemplary embodiment of the present application. Figure 2 As shown, the training device 20 for aphasia patients includes: a training request receiving module 21, used to receive training requests from aphasia patients; a training content output module 22, used to output training content to aphasia patients; wherein the training content includes playing voice, displaying images, and displaying text; an input information acquisition module 23, used to obtain input information from aphasia patients; wherein the input information includes reply information given by aphasia patients based on the training content; an evaluation result generation module 24, used to evaluate aphasia patients based on the input information and obtain evaluation results; a training content adjustment module 25, used to adjust the training content for aphasia patients based on the evaluation results.

[0049] The present application provides a training device for an aphasia patient, which receives a training request from an aphasia patient through a training request receiving module 21; a training content output module 22 outputs training content to the aphasia patient; wherein the training content includes playing voice, displaying images, and displaying text; an input information acquisition module 23 acquires input information from the aphasia patient; wherein the input information includes reply information given by the aphasia patient based on the training content; an evaluation result generation module 24 evaluates the aphasia patient based on the input information to obtain an evaluation result; a training content adjustment module 25 adjusts the training content for the aphasia patient based on the evaluation result; that is, during the aphasia training process, the training content is output and the input information of the aphasia patient is acquired, and the aphasia patient is evaluated based on the input information, so as to adjust the training content for the aphasia patient according to the evaluation result, thereby generating training content suitable for the aphasia patient, which can not only improve the effect of aphasia training, but also take care of the patient's emotions to ensure his training enthusiasm.

[0050] In one embodiment, the input information includes the follow-up voice of the aphasia patient following the playback voice input; wherein the evaluation result generation module 24 can be further configured to: compare the similarity between the follow-up voice and the playback voice to obtain the evaluation result.

[0051] In one embodiment, the input information includes cognitive speech of an aphasic patient identifying a displayed image input; wherein the evaluation result generation module 24 can be further configured to: identify semantic information of the cognitive speech; and obtain an evaluation result based on the semantic information of the cognitive speech and the semantic information contained in the displayed image.

[0052] In one embodiment, the input information includes the reading voice of the aphasic patient reading the displayed text input; wherein the above-mentioned evaluation result generation module 24 can be further configured to: recognize the text information of the reading voice; and obtain the evaluation result based on the text information of the reading voice and the displayed text.

[0053] In one embodiment, the training device 20 for aphasia patients can be further configured to: obtain the action information of aphasia patients; wherein the action information includes the body movements of aphasia patients; identify the action information to obtain the true intention of aphasia patients; correspondingly, the evaluation result generation module 24 can be further configured to: evaluate the aphasia patients based on the input information and the true intention to obtain the evaluation results.

[0054] In one embodiment, the above-mentioned training device 20 for aphasia patients can be further configured to: input the action information into the real intention recognition model to obtain the real intention of the aphasia patient; wherein the real intention recognition model is obtained through the aphasia patient's various body movements and corresponding intention training.

[0055] In one embodiment, the training device 20 for aphasia patients can be further configured to: obtain facial expression information of aphasia patients; recognize facial expression information to obtain the urgency level of aphasia patients; and issue an alarm if the urgency level is greater than a preset urgency threshold.

[0056] Below, reference Figure 3 The electronic device according to the embodiment of the present application is described. The electronic device may be any one or both of the first device and the second device, or a stand-alone device independent of them, and the stand-alone device may communicate with the first device and the second device to receive the collected input signal from them.

[0057] Figure 3 A block diagram of an electronic device according to an embodiment of the present application is illustrated.

[0058] like Figure 3 As shown, the electronic device 10 includes one or more processors 11 and a memory 12 .

[0059] The processor 11 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 10 to perform desired functions.

[0060] The memory 12 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 11 may run the program instructions to implement the methods of the various embodiments of the present application described above and / or other desired functions. Various contents such as input signals, signal components, noise components, etc. may also be stored in the computer-readable storage medium.

[0061] In one example, the electronic device 10 may further include: an input device 13 and an output device 14 , and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0062] When the electronic device is a stand-alone device, the input device 13 may be a communication network connector, which is used to receive the collected input signals from the first device and the second device.

[0063] In addition, the input device 13 may also include, for example, a keyboard, a mouse, and the like.

[0064] The output device 14 can output various information to the outside, including the determined distance information, direction information, etc. The output device 14 can include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, and the like.

[0065] Of course, to simplify, Figure 3 Only some of the components related to the present application in the electronic device 10 are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application situations, the electronic device 10 may also include any other appropriate components.

[0066] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the method according to various embodiments of the present application described in the above-mentioned "Exemplary Method" section of this specification.

[0067] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0068] In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of the method according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0069] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0070] The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

[0071] The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

[0072] It should also be noted that in the apparatus, device and method of the present application, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0073] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

[0074] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A training method for an aphasia patient, characterized in that: include: Receive training requests from patients with aphasia; Outputting training content to the aphasia patient; wherein the training content includes playing voice, displaying images, and displaying text; Acquiring input information from the aphasia patient; wherein the input information includes answer information given by the aphasia patient based on the training content; Based on the input information, the aphasia patient is evaluated to obtain an evaluation result; Based on the evaluation results, the training content of the aphasia patient is adjusted.

2. The training method for aphasia patients according to claim 1, characterized in that: The input information includes the aphasic patient following the playback voice input; wherein, based on the input information, the aphasic patient is evaluated to obtain an evaluation result including: The similarity between the follow-up voice and the played voice is compared to obtain the evaluation result.

3. The training method for aphasia patients according to claim 1, characterized in that: The input information includes the cognitive speech of the aphasic patient identifying the display image input; wherein, based on the input information, the aphasic patient is evaluated, and the evaluation result obtained includes: recognizing semantic information of the cognitive speech; The evaluation result is obtained based on the semantic information of the recognized speech and the semantic information contained in the displayed image.

4. The training method for aphasia patients according to claim 1, characterized in that: The input information includes the reading voice of the aphasic patient reading the displayed text input; wherein, based on the input information, the aphasic patient is evaluated, and the evaluation result obtained includes: Recognizing text information of the read voice; The evaluation result is obtained based on the text information of the read voice and the displayed text.

5. The training method for aphasia patients according to claim 1, characterized in that: The training method for aphasia patients also includes: Acquiring motion information of the aphasia patient; wherein the motion information includes body movements of the aphasia patient; Recognizing the action information to obtain the real intention of the aphasia patient; The aphasia patient is evaluated based on the input information, and the evaluation result obtained includes: Based on the input information and the true intention, the aphasia patient is evaluated to obtain the evaluation result.

6. The training method for aphasia patients according to claim 5, characterized in that: The identifying the action information to obtain the real intention of the aphasia patient includes: The action information is input into a real intention recognition model to obtain the real intention of the aphasia patient; wherein the real intention recognition model is obtained by training the aphasia patient with a variety of body movements and corresponding intentions.

7. The training method for aphasia patients according to claim 1, characterized in that: The training method for aphasia patients also includes: Acquiring facial expression information of the aphasia patient; Recognizing the facial expression information to obtain the urgency level of the aphasia patient; If the urgency level is greater than a preset urgency level threshold, an alarm is issued.

8. A training device for aphasia patients, characterized in that: include: A training request receiving module, used for receiving a training request from an aphasia patient; A training content output module, used to output training content to the aphasia patient; wherein the training content includes playing voice, displaying images, and displaying text; An input information acquisition module, used to acquire input information from the aphasia patient; wherein the input information includes answer information given by the aphasia patient based on the training content; An evaluation result generating module, used for evaluating the aphasia patient based on the input information to obtain an evaluation result; A training content adjustment module is used to adjust the training content of the aphasia patient based on the evaluation result.

9. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and the computer program is used to execute the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is used to execute the method described in any one of claims 1 to 7.

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