Rehabilitation game system and game balance method thereof

Abstract

This invention discloses a rehabilitation game system and its gameplay balancing method. The gameplay balancing method includes the following steps: establishing multiple task data of different types; establishing a correct response and a difficulty score for each task data; outputting task data of various types to establish a test question set; outputting multiple task data in the test question set; recording the difficulty score when the correct response of any task data matches an input response; calculating the recorded difficulty scores to establish a total test score; loading a large total score corresponding to each type of data; generating a weighting command when there is a difference between the total test score and the large total score; correcting a question-setting standard total score for the corresponding type according to the weighting command; and outputting task data of various types to establish a rehabilitation task question set with the corrected question-setting standard total score as the upper limit.

Description

Rehabilitation game system and gameplay balancing method thereof The present invention relates to a game system, and in particular to a rehabilitation game system and a gameplay balancing method thereof. As the aging population intensifies, the incidence of sensory degeneration symptoms is also on the rise, severely impacting the health and quality of life of the elderly. While existing rehabilitation game systems employ gamification to provide a variety of training and mitigation methods to achieve rehabilitation goals, these systems are unable to effectively prevent significant score discrepancies between elderly individuals with varying physical conditions from leading to frustration. This can cause elderly individuals to lose motivation for rehabilitation. Therefore, the inventors believe that the above defects can be improved, and have devoted themselves to research and applied scientific principles to finally propose the present invention which has a reasonable design and effectively improves the above defects. The technical problem to be solved by the present invention is to provide a rehabilitation game system and a gameplay balancing method thereof in view of the deficiencies of the existing technology. The embodiment of the present invention discloses a rehabilitation game system, comprising: at least one question-generating device, comprising: a question database, comprising a plurality of task data of different types, each task data of different types having a different difficulty score, and each task data having a correct response; a test unit, electrically coupled to the question database, the test unit selectively outputting at least one task data of each type to establish a test question group; wherein the test unit can sequentially output the plurality of task data in the test question group, and the test unit can be operated to input a first input response into the corresponding task data, when the When the first input response matches the correct response, the test unit records the difficulty score; a weighting unit is electrically coupled to the test unit and the question database, the weighting unit has a large data total score corresponding to various categories, the weighting unit counts the difficulty scores of various categories recorded by the test unit to establish a test total score respectively, the weighting unit compares the test total score and the large data total score according to various categories, when there is a negative difference between the test total score and the large data total score in any category, the weighting unit generates a negative weighting command; when the test total score in any category and a positive difference between the total score of the big data, the weighting unit generates a positive weighting command; and a question-setting unit electrically coupled to the weighting unit, the question-setting unit having a standard total score for each category, the question-setting unit receiving the negative weighting command or the positive weighting command corresponding to each category to correct the standard total score, and the question-setting unit selectively outputs at least one task data of each category from the question database with the upper limit value of the corrected standard total score to establish a rehabilitation task question group; and at least one game device electrically coupled to the at least one question-setting device, the at least one The gaming device includes: an operating unit electrically coupled to the question-generating unit and the testing unit, each of the operating units being capable of loading either the test question set or the rehabilitation task question set to present the test question set or the rehabilitation task question set, and capable of being operated by a person to input a second input response and the first input response into the corresponding task data; and a statistical unit electrically coupled to the operating unit, wherein when the rehabilitation task question set is loaded and the second input response matches the correct response, the statistical unit is capable of counting the number of the matched correct responses of each type as an achievement score. An embodiment of the present invention further discloses a gameplay balancing method for a rehabilitation game system, comprising the following steps: establishing a plurality of task data of different categories; establishing a correct response and a different difficulty score for each task data of the different categories; outputting at least one task data of each category to establish a test question set; sequentially outputting the plurality of task data in the test question set; recording the difficulty score when the correct response of any task data in the test question set matches a first input response; counting the recorded difficulty scores of each category to establish a test total score for each category; loading a data total score corresponding to each category; generating a negative weighting command when a negative difference exists between the test total score and the data total score in any category; generating a positive weighting command when a positive difference exists between the test total score and the data total score in any category; modifying a standard total score of the corresponding category according to the negative weighting command or the positive weighting command; selectively outputting at least one task data of each category with the modified standard total score as an upper limit to establish a rehabilitation task question set; and outputting the rehabilitation task question set. In summary, the rehabilitation game system and its gameplay balancing method disclosed in the embodiments of the present invention can effectively balance the game difficulty to avoid a significant score difference between two people playing the rehabilitation game through the designs of "the testing unit can sequentially output the multiple task data in the test question group, and the testing unit can be operated to input a first input response in the corresponding task data; when the first input response matches the correct response, the testing unit records the difficulty score", and "when there is a negative difference between the total test score and the total big data score in any category, the weighting unit generates a negative weighting command; when there is a positive difference between the total test score and the total big data score in any category, the weighting unit generates a positive weighting command". To further understand the features and technical contents of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are only for reference and illustration and are not intended to limit the present invention. The following is an explanation of the implementation methods of the "rehabilitation game system and its gameplay balancing method" disclosed in the present invention through specific specific embodiments. Those skilled in the art can understand the advantages and effects of the present invention from the content disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and the details in this specification can also be modified and changed based on different viewpoints and applications without departing from the concept of the present invention. In addition, the drawings of the present invention are only simple schematic illustrations and are not depicted according to actual dimensions. It is stated in advance. The following embodiments will further explain the relevant technical content of the present invention in detail, but the disclosed content is not intended to limit the scope of protection of the present invention. 1 , this embodiment provides a rehabilitation game system 100. As shown in FIG1 , the rehabilitation game system 100 includes at least one question-generating device 1 and at least one game device 2 electrically coupled to the at least one question-generating device 1. The at least one question-generating device 1 can provide test questions during formal rehabilitation, allowing participants to take the test using the at least one game device 2, thereby further calibrating the difficulty of subsequent questions generated by the at least one question-generating device 1. In other words, any rehabilitation game system that does not collect test data to calibrate subsequent rehabilitation tasks is not a rehabilitation game system 100 within the meaning of the present invention. The following describes the various components of the rehabilitation game system 100 and their interconnections. As shown in Figure 1, the at least one question-generating device 1 includes a question database 11, a test unit 12 electrically coupled to the question database 11, a weighting unit 13 electrically coupled to the test unit 12 and the question database 11, and a question-generating unit 14 electrically coupled to the weighting unit 13. Specifically, the question database 11 can pre-establish multiple types of rehabilitation tasks. In practice, these rehabilitation tasks can include cognitive rehabilitation, oral rehabilitation, finger rehabilitation, memory rehabilitation, reaction rehabilitation, finger strength rehabilitation, and voice recognition rehabilitation. Accordingly, the question database 11 can contain multiple task data of different types, each task data within a different type having a different difficulty score and a correct response. For example, the question database 11 includes two task data items in the cognitive rehabilitation category, namely, a mathematical calculation task and a suit matching task. The mathematical calculation task involves random addition, subtraction, multiplication, and division operations, and the correct answer calculated is the correct response. Furthermore, the mathematical calculation task is a high-intensity cognitive rehabilitation task, so the difficulty score for the mathematical calculation task is 8. Furthermore, the suit matching task involves matching suits on random cards, and a pair of cards with the same suit is the correct response. Furthermore, the suit matching task is a medium-intensity cognitive rehabilitation task, so the difficulty score for the suit matching task is 5. In other words, the larger the difficulty score, the more difficult the rehabilitation content of the task data. Of course, the difficulty scores of the mathematical calculation tasks may also be different. For example, the difficulty score of the question "7+6=?" is 3 points, while the difficulty score of the question "(7+6) / (3+2)"=?" is 10 points. 1 , the test unit 12 is used as a component for setting questions before formal rehabilitation. Specifically, the test unit 12 can selectively output at least one task data of various types from the question database 11 to create a test question set for the person to take the test. The test unit 12 sequentially outputs a plurality of the task data in the test question set, and the test unit 12 can be operated to input a first input response in the corresponding task data. When the first input response matches the correct response, the test unit 12 records the difficulty score. That is to say, the test unit 12 will only select one task data from the test question group for the person to test at a time. When the person completes the content of the task data, the test unit 12 will output the next task data from the test question group. In addition, the operations performed by the person are all a response, that is, the first input response, and the first input response can be, for example, touching coordinates, body movements, inputting numerical values, etc. For example, taking the task data of a mathematical calculation task as an example, the question provided is "7+9=?", the correct response of the task data is "16", so when the person inputs the numerical value "16", the correct response can be matched, so that the test unit 12 can obtain the difficulty score of the task data as "8" and record it. As shown in Figure 1, the weighting unit 13 can be used to modify the logic of the subsequent question-setting unit 14 to ensure that the question-setting unit 14 can provide tasks of appropriate difficulty. Specifically, the weighting unit 13 has a large data total score corresponding to various categories. The large data total score can be understood as the total score obtained by a large number of people taking the test through the testing unit 12. The large data total score can also be the total test score obtained by using the question database 11 as the rehabilitation content. In addition, the weighting unit 13 can calculate the difficulty scores of various categories recorded by the testing unit 12 to establish a total test score for each. For example, if the testing unit 12 outputs the task data of ten mathematical calculation tasks, and the person only answers five questions correctly during the answering process and the difficulty scores of all five questions are 8 points, the total test score is 40 points (5 times 8). Secondly, the weighting unit 13 can compare the total test score and the total big data score according to various categories. That is, the weighting unit 13 compares the scores of different categories, rather than comparing scores of different categories together. When a negative difference exists between the total test score and the total big data score in any category, the weighting unit 13 generates a negative weighting command. Conversely, when a positive difference exists between the total test score and the total big data score in any category, the weighting unit 13 generates a positive weighting command. For example, if the total score of the big data in the math calculation task is 50 points and the total score of the test in the math calculation task is 40 points, the weighting unit 13 generates the negative weighting command. Conversely, if the total score of the test in the math calculation task is 60 points, the weighting unit 13 generates the positive weighting command. As shown in FIG1 , the question-generating unit 14 is used to output the corrected tasks, i.e., the formal rehabilitation task list. Specifically, the question-generating unit 14 has a standard total score for each category. The question-generating unit 14 receives the negative weighting command or the positive weighting command corresponding to each category to correct the standard total score. The question-generating unit 14 then selectively outputs at least one task data item from each category from the question database 11 using the corrected standard total score as an upper limit to create a rehabilitation task set. It should be noted that the standard total score for setting questions is a value established by the designer and is used as the upper limit for setting tasks. For example, within the same category, the sum of the difficulty scores of the multiple task data selected by the setting unit 14 cannot exceed the standard total score for setting questions. In other words, the standard total score for setting questions can determine the difficulty level of the rehabilitation task set. For this reason, the setting unit 14 can modify the standard total score for setting questions based on the positive weighting command and the negative weighting command issued by the weighting unit 13, thereby establishing the rehabilitation task set of appropriate difficulty. 1 , the at least one gaming device 2 is used for the user to operate and input responses. Specifically, the at least one gaming device 2 includes an operating unit 21 electrically coupled to the question-setting unit 14 and the testing unit 12 , and a statistical unit 22 electrically coupled to the operating unit 21 . As shown in FIG1 , the operating unit 21 can be, for example, a tablet computer. The operating unit 21 can load either the test set or the rehabilitation task set to present the test set or the rehabilitation task set, and can be used by a person to operate and input a second input response and the first input response into the corresponding task data. As shown in FIG1 , when the statistical unit 22 loads the rehabilitation task set and the second input response matches the correct response, the statistical unit 22 can count the number of correct responses of each type that match as an achievement score. For example, if the test unit 12 outputs task data for ten mathematical calculation tasks, and the person answers five questions correctly during the test, the achievement score is 5 points. Preferably, the at least one gaming device can be two, that is, two gaming devices 2 can simultaneously accommodate two people in a rehabilitation competition. Accordingly, the rehabilitation game system 100 further includes a win / loss determination module 3 electrically coupled to the two gaming devices 2. The win / loss determination module 3 compares the achievement scores counted from the two gaming devices 2. When the achievement score of one gaming device 2 is higher than the achievement score of the other gaming device 2, the win / loss determination module 3 issues a victory notification to the gaming device 2 with the higher score. Furthermore, although the rehabilitation task set has been adaptively modified, there is still a chance that a significant difference in scores may occur during the competition. Therefore, the rehabilitation game system 100 further includes a score weighting module 4. Specifically, the score weighting module 4 is electrically coupled to the two gaming devices 2 and the question setting unit 14. The score weighting module 4 can compare the achievement scores of the two gaming devices 2. When the difference between the achievement scores of the two gaming devices 2 is greater than a threshold, the score weighting module 4 initiates a score weighting operation. The threshold can be customized according to the designer's needs. The score weighting operation is as follows: when the total score of the question setting standard of any category is modified according to the negative weighting command, the achievement score of the corresponding category is positively weighted, that is, additional points are given to the rehabilitation personnel's weaknesses. The above describes the various components of the rehabilitation game system 100 and their connections. Next, the gameplay balancing method is described. While the gameplay balancing method is applied to the rehabilitation game system 100, the present invention is not limited thereto. As shown in FIG2 , the game recommendation method includes steps S101 to S123. Any of these steps can be omitted or replaced with a suitable variation depending on the designer's needs. Step S101: Create multiple task data of different types. Step S103: establishing a correct response and a different difficulty score for each task data in different categories. Step S105: Output at least one task data of various categories to create a test question set. Step S107: outputting the plurality of task data in the test question group in sequence. Step S109: Recording the difficulty score when the correct response to any one of the task data in the test question set matches a first input response. Step S111: Counting the difficulty scores of each category recorded to establish a total test score for each category. Step S113: Load a large amount of data corresponding to the total scores of various categories. Step S115: generating a negative weighting command when there is a negative difference between the total test score and the total big data score in any category. Step S117: generating a positive weighting command when there is a positive difference between the total test score and the total big data score in any category. Step S119: Modifying a standard total score of a question of a corresponding type according to the negative weighting command or the positive weighting command; Step S121: selectively outputting at least one task data of various categories with the revised total score of the question setting standard as the upper limit value to establish a rehabilitation task question group. Step S123: Outputting the rehabilitation task set. Preferably, after step S123, as shown in FIG3 , the gameplay balancing method includes steps S201 and S203. Specifically, step S201: when a correct response to any task data in the rehabilitation task set matches a second input response, the number of correct responses of each type that match is counted as an achievement score. Step S203: comparing the achievement scores of the two gaming devices. When the achievement score of one gaming device is higher than the achievement score of the other gaming device, a victory notification is issued to the gaming device with the higher score. In addition, to avoid significant score disparity, the gameplay balancing method further includes step S202. Specifically, as shown in FIG4 , step S202 compares the achievement scores of the two gaming devices. When the difference between the achievement scores of the two gaming devices is greater than a threshold, the score weighting module initiates a score weighting operation. The score weighting operation is as follows: when the total score of the question standard for any category is modified according to the negative weighting command, the achievement score of the corresponding category is positively weighted. [Technical Effects of the Embodiments of the Invention] In summary, the rehabilitation game system and its gameplay balancing method disclosed in the embodiments of the present invention can effectively balance the game difficulty to avoid a significant score difference between two people playing the rehabilitation game through the designs of "the testing unit can sequentially output the multiple task data in the test question group, and the testing unit can be operated to input a first input response in the corresponding task data; when the first input response matches the correct response, the testing unit records the difficulty score", and "when there is a negative difference between the total test score and the total big data score in any category, the weighting unit generates a negative weighting command; when there is a positive difference between the total test score and the total big data score in any category, the weighting unit generates a positive weighting command". The contents disclosed above are only preferred feasible embodiments of the present invention and do not limit the scope of the patent application of the present invention. Therefore, all equivalent technical changes made using the contents of the description and drawings of the present invention are included in the scope of the patent application of the present invention. 100: Rehabilitation Game System 1: Question Generator 11: Question Database 12: Testing Unit 13: Weighting Unit 14: Question Generator 2: Game Device 21: Operation Unit 22: Statistics Unit 3: Win / Loss Determination Module 4: Score Weighting Module S101-S123, S201-S203: Steps FIG1 is a circuit block diagram of a rehabilitation game system according to the present invention. FIG. 2 is a flowchart showing the steps of the gameplay balancing method of the rehabilitation game system of the present invention. FIG. 3 is a flowchart illustrating sub-steps of a gameplay balancing method for a rehabilitation game system according to another embodiment of the present invention. FIG. 4 is a flowchart illustrating sub-steps of a gameplay balancing method for a rehabilitation game system according to another embodiment of the present invention. 100: Rehabilitation Game System 1: Questioning device 11: Question Database 12: Test Unit 13: Weighted unit 14: Questioning Unit 2: Game device 21: Operation unit 22: Statistics Unit 3: Win / Loss Determination Module 4: Score weighting module

Claims

1. A rehabilitation game system, comprising: At least one question-generating device includes: a question database containing multiple task data of different types, each task data of different types having a different difficulty score, and each task data having a correct response; a testing unit electrically coupled to the question database, the testing unit selectively outputting at least one task data of each type to establish a test question set; wherein the testing unit can sequentially output multiple task data in the test question set, and the testing unit can be operated to input a first input response into the corresponding task data, and when the first input response matches the correct response, the testing unit records the difficulty score; A weighting unit, electrically coupled to the test unit and the question database, has a total score for a large dataset corresponding to each category. The weighting unit calculates the difficulty scores for each category recorded by the test unit to establish a separate total test score. The weighting unit compares the total test score with the total dataset score based on each category. If a negative difference exists between the total test score and the total dataset score for any category, the weighting unit generates a negative weighting command; if a positive difference exists between the total test score and the total dataset score for any category, the weighting unit generates a negative weighting command. When the value is specified, the weighting unit generates a positive weighting command; and a question-generating unit electrically coupled to the weighting unit, the question-generating unit having a question-generating standard total score corresponding to each class, the question-generating unit receiving the negative weighting command or the positive weighting command corresponding to each class to correct the question-generating standard total score, and the question-generating unit selectively outputting at least one task data of each class from the question database with the corrected question-generating standard total score as an upper limit to establish a rehabilitation task question set; and at least one game device electrically coupled to the at least one question-generating device, the at least one game device comprising: An operation unit, electrically coupled to the question-generating unit and the testing unit, is capable of loading either the test question set or the rehabilitation task question set to present either the test question set or the rehabilitation task question set. The operation unit is also operable by a person to input a second input response and a first input response into the corresponding task data. A statistics unit, electrically coupled to the operation unit, is also included. When the rehabilitation task question set is loaded and the second input response matches the correct response, the statistics unit counts the number of correctly matched responses of various categories as an achievement score. The system includes at least two play devices, and the rehabilitation game system includes a win / loss determination module electrically coupled to the two play devices. The win / loss determination module compares the counted achievement scores of the two play devices. When the achievement score of one play device is higher than the achievement score of the other play device, the win / loss determination module issues a victory notification to the play device with the higher score.A score weighting module is electrically coupled to two gaming devices and the question-generating unit. The score weighting module compares the achievement scores of the two gaming devices. When the difference between the achievement scores of the two gaming devices exceeds a threshold, the score weighting module initiates a score weighting operation. The score weighting operation involves: when the total score of any type of question-generating standard is corrected according to the negative weighting command, the achievement score of the corresponding type is positively weighted.

2. The rehabilitation game system as described in claim 1, wherein, The database of questions includes at least two of the following categories: cognitive rehabilitation, oral rehabilitation, finger rehabilitation, memory rehabilitation, reaction rehabilitation, finger strength rehabilitation, and sound recognition rehabilitation.

3. A method for balancing the gameplay of a rehabilitation game system, comprising the following steps: establishing multiple task data of different types; establishing a correct response and a different difficulty score for each task data of different types; outputting at least one task data of each type to establish a test question set; sequentially outputting multiple task data of the test question set; recording the difficulty score when the correct response of any task data in the test question set matches a first input response; calculating the recorded difficulty scores of each type to establish a total test score for each type; loading a large total score corresponding to each type; generating a negative weighting command when there is a negative difference between the total test score of any type and the large total score; generating a positive weighting command when there is a positive difference between the total test score of any type and the large total score; correcting a standard total score for the corresponding type based on the negative weighting command or the positive weighting command; selectively outputting at least one task data of each type with an upper limit value of the corrected standard total score to establish a rehabilitation task question set. Output the rehabilitation task set; when the correct response of any task data in the rehabilitation task set matches a second input response, count the number of correctly matched responses of each category as an achievement score; compare the achievement scores of two gaming devices, and when the achievement score of one gaming device is higher than the achievement score of the other gaming device, issue a victory notification to the gaming device with the higher score; compare the achievement scores of two gaming devices, and when a difference between the achievement scores of the two gaming devices is greater than a threshold, the score weighting module starts a score weighting operation; wherein... The score weighting operation is as follows: when the total score of the question setting standard for any category is corrected according to the negative weighting command, the achievement score of the corresponding category is positively weighted.

4. The gameplay balancing method for the rehabilitation game system as described in claim 3, wherein, The different types include at least two of the following: cognitive rehabilitation, oral rehabilitation, finger rehabilitation, memory rehabilitation, reaction rehabilitation, finger strength rehabilitation, and sound recognition rehabilitation.

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