A gaming chair safety warning system

Abstract

The present invention relates to the field of gaming chair control and early warning technology, and discloses a gaming chair safety early warning system comprising an environmental data acquisition module, an environmental data analysis module, and a safety early warning module. The environmental data acquisition module comprises a gaming chair activity data acquisition unit and an external environment data acquisition unit. The system records the distance to the nearest object captured by each ultrasonic sensor on the gaming chair, records the minimum distance recorded by each sensor, and constructs a gaming chair activity position information database. The system then comprehensively calculates the resulting distance risk coefficient and speed risk coefficient, calculates a comprehensive risk level based on the resulting distance risk coefficient and speed risk coefficient, and executes early warning instructions based on the comprehensive risk level. This reduces the amplitude of the gaming chair during an early warning, thereby minimizing collision damage. At the same time, the reduced amplitude ensures that gamers can promptly detect the approach of a person or animal, thereby enabling them to shut down the game chair in a timely manner.

Description

Technical Field

[0001] The present invention relates to the technical field of gaming chair control and early warning technology, in particular to a gaming chair safety early warning system. Background Art

[0002] As society continues to progress and science and technology develop rapidly, material life is becoming increasingly abundant, and people have higher and higher demands for spiritual life. Gaming chairs have emerged as a result. Playing video games is a popular form of entertainment. To enhance the video gaming experience, accessories are often used when playing video games. Gaming chairs are a type of accessory that have features superior to traditional chairs. Some gaming chairs are easy to rotate and / or rock when playing VR games because such movements enhance the gaming experience. Other gaming chairs emit sounds and / or vibrations related to VR games, but existing gaming chairs produce large pitch / yaw angles when in operation. During home use, if family, friends, or animals approach, it may cause collisions with them, resulting in unnecessary injuries. Summary of the Invention

[0003] (1) Technical problems solved

[0004] In view of the shortcomings of the existing technology, the present invention provides a gaming chair safety warning system, which has the advantages of warning approaching objects and solves the above technical problems.

[0005] (2) Technical solution

[0006] To achieve the above-mentioned object, the present invention provides the following technical solutions: a gaming chair safety warning system, comprising an environmental data acquisition module, an environmental data analysis module and a safety warning module;

[0007] The environmental data acquisition module includes a gaming chair activity data acquisition unit and an external environment data acquisition unit. The gaming chair activity data acquisition unit is used to collect all current activity positions of the gaming chair and build a gaming chair activity position information library. The external environment data acquisition unit obtains external environment data based on an ultrasonic sensor installed on the gaming chair.

[0008] The environmental data analysis module performs a comprehensive calculation based on the external environmental data collected by the environmental data collection module and the gaming chair activity position information library to obtain a distance risk coefficient and a speed risk coefficient, and sends the calculated distance risk coefficient to the safety warning module;

[0009] The safety warning module includes a warning unit and a correction unit. The warning unit calculates a comprehensive risk level based on the final distance risk coefficient and speed risk coefficient, and executes a warning instruction based on the comprehensive risk level. The correction unit is used to recalibrate the constructed gaming chair activity position information library when the gaming chair is installed or readjusted.

[0010] As a preferred technical solution of the present invention, the gaming chair activity data collection unit is used to collect all current gaming chair activity positions and construct a gaming chair activity position information database in the following specific steps:

[0011] Step A1: Set the orientation of the gaming chair and initialize the orientation of the gaming chair;

[0012] Step A2: Rotate the gaming chair in several extreme directions;

[0013] Step A3: Record the distance of the nearest object collected by each ultrasonic sensor on the gaming chair, record the minimum distance recorded by each sensor, and build a gaming chair activity position information database.

[0014] As a preferred technical solution of the present invention, the specific expression of the gaming chair activity position information database is as follows:

[0015]

[0016] Among them, YXY represents the gaming chair activity position information library, minCGQ1 represents the minimum distance collected by the first ultrasonic sensor, and the first ultrasonic sensor is set on the left side of the gaming chair back, minCGQ2 represents the minimum distance collected by the second ultrasonic sensor, and the second ultrasonic sensor is set on the top of the gaming chair back, minCGQ3 represents the minimum distance collected by the third ultrasonic sensor, and the third ultrasonic sensor is set on the right side of the gaming chair back, minCGQ4 represents the minimum distance collected by the fourth ultrasonic sensor, and the fourth ultrasonic sensor is set at the end of the gaming chair back pedal.

[0017] As a preferred technical solution of the present invention, the external environment data collected by the external environment data collection unit is expressed as follows:

[0018]

[0019] Among them, WBHJ represents the external environment dataset, CGQ t，1 Indicates the distance collected by the first ultrasonic sensor at time t, CGQ t，2 Indicates the distance collected by the second ultrasonic sensor at time t, CGQ t，3 The distance collected by the third ultrasonic sensor at time t, CGQt，4 Represents the distance collected by the fourth ultrasonic sensor at time t.

[0020] As a preferred technical solution of the present invention, the specific steps of the environmental data analysis module to comprehensively calculate the distance risk coefficient based on the external environmental data collected by the environmental data collection module and the gaming chair activity position information library are as follows:

[0021] Step A1: Calculate the i-th distance risk coefficient of the i-th ultrasonic sensor. The specific expression is as follows:

[0022]

[0023] Among them, JCXS i represents the i-th distance risk coefficient, minCGQ i Indicates the minimum distance collected by the i-th ultrasonic sensor, CGQ t，i represents the distance collected by the i-th ultrasonic sensor at time t, i = {1, 2, 3, 4};

[0024] Step A2: Output the largest distance risk coefficient among the four ultrasonic sensors as the final distance risk coefficient. The specific expression is as follows:

[0025]

[0026] in, Indicates selecting the largest JCXS in the interval i = {1, 2, 3, 4} i Output is performed, and JLFX represents the final distance risk coefficient.

[0027] As a preferred technical solution of the present invention, the specific steps of the environmental data analysis module to comprehensively calculate the speed risk coefficient based on the external environmental data collected by the environmental data collection module and the gaming chair activity position information library are as follows:

[0028] Step B1: Calculate the velocity risk coefficient of the jth ultrasonic sensor. The specific expression is as follows:

[0029]

[0030] Among them, v j represents the velocity risk coefficient of the jth ultrasonic sensor, CGQ t，j represents the distance collected by the jth ultrasonic sensor at time t, CGQ t-1，j represents the distance collected by the jth ultrasonic sensor at time t-1, Δt represents the sampling time interval, j = {1, 2, 3, 4};

[0031] Step B2: Output the largest velocity risk coefficient among the four ultrasonic sensors as the final velocity risk coefficient. The specific expression is as follows:

[0032]

[0033] Among them, SDFX represents the final speed risk coefficient, v j represents the velocity risk coefficient of the jth ultrasonic sensor, Indicates selecting the largest v in j = {1, 2, 3, 4} j Output.

[0034] As a preferred technical solution of the present invention, the specific steps of the early warning unit calculating the comprehensive risk level based on the distance risk coefficient and speed risk coefficient finally obtained are as follows:

[0035] Step C1: inputting the distance risk coefficient and speed risk coefficient finally obtained into the distance judgment function and the speed judgment function respectively, and outputting the distance risk level and the speed risk level respectively;

[0036] Step C2: Obtain a comprehensive risk level based on the distance risk level and the speed risk level. Specifically, if the output distance risk level and speed risk level are uploaded from the same ultrasonic sensor, that is, j=i, then the distance risk level and the speed risk level are comprehensively calculated to obtain a comprehensive risk level, and the early warning instruction is executed based on the comprehensive risk level. If the output distance risk level and speed risk level are not uploaded from the same ultrasonic sensor, that is, j≠i, then the higher of the distance risk level and the speed risk level is used as the comprehensive risk level, and the early warning instruction is executed based on the comprehensive risk level.

[0037] As a preferred technical solution of the present invention, the specific expressions of the distance judgment function and the speed judgment function are as follows:

[0038] Distance judgment function:

[0039]

[0040] Speed judgment function:

[0041]

[0042] Among them, JLDJ represents the distance judgment function, and its output result is used as the distance risk level. SDDJ represents the speed judgment function, and its output result is used as the speed risk level. JLDY and JLDE respectively represent the first threshold and second threshold of distance judgment. SDDY and SDDW respectively represent the first threshold and second threshold of speed judgment.

[0043] As a preferred technical solution of the present invention, the specific calculation expression of the comprehensive risk level is as follows:

[0044] ZHFX=Round(α*JLDJ+β*SDDJ)

[0045] Among them, ZHFX represents the comprehensive risk level, Round represents the rounding function, ɑ and β represent weight coefficients whose sum is 1, JLDJ represents the distance judgment function, and SDDJ represents the speed judgment function.

[0046] As a preferred technical solution of the present invention, the specific steps of executing the warning instruction based on the comprehensive risk level are:

[0047] When the comprehensive risk level ZHFX ≥ warning value YJZ, the activity range of the gaming chair is reduced by 60% to 70%, and vibration is emitted at the same time;

[0048] When the comprehensive risk level ZHFX is less than the warning value YJZ, no warning will be issued.

[0049] Compared with the prior art, the present invention provides a gaming chair safety warning system with the following beneficial effects:

[0050] The present invention records the distance to the nearest object collected by each ultrasonic sensor on the gaming chair, records the minimum distance recorded by each sensor, and builds a gaming chair activity position information database. Then, the distance risk coefficient and speed risk coefficient are comprehensively calculated, and a comprehensive risk level is calculated based on the distance risk coefficient and speed risk coefficient. Based on the comprehensive risk level, an early warning instruction is executed, so that the amplitude of the gaming chair is reduced during the early warning to reduce collision damage. At the same time, the amplitude reduction and vibration can ensure that the game players can promptly perceive the approach of people or animals and thus close the game in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 Schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 making creative efforts are within the scope of protection of the present invention.

[0053] See also Figure 1 ,A gaming chair safety warning system includes an environmental data acquisition module, an environmental data analysis module, and a safety warning module;

[0054] The environmental data acquisition module includes a gaming chair activity data acquisition unit and an external environment data acquisition unit. The gaming chair activity data acquisition unit is used to collect all the current activity positions of the gaming chair and build a gaming chair activity position information library. The external environment data acquisition unit obtains external environment data based on the ultrasonic sensor installed on the gaming chair. The gaming chair activity data acquisition unit is used to collect all the current activity positions of the gaming chair and build a gaming chair activity position information library. The specific steps are as follows:

[0055] Step A1: Set the orientation of the gaming chair and initialize the orientation of the gaming chair;

[0056] Step A2: Rotate the gaming chair in several extreme directions;

[0057] Step A3: Record the distance to the nearest object detected by each ultrasonic sensor on the gaming chair, record the minimum distance recorded by each sensor, and build a gaming chair activity position information database. The specific expression is as follows:

[0058]

[0059] Among them, YXY represents the gaming chair activity position information library, minCGQ1 represents the minimum distance collected by the first ultrasonic sensor, and the first ultrasonic sensor is set on the left side of the gaming chair back, minCGQ2 represents the minimum distance collected by the second ultrasonic sensor, and the second ultrasonic sensor is set on the top of the gaming chair back, minCGQ3 represents the minimum distance collected by the third ultrasonic sensor, and the third ultrasonic sensor is set on the right side of the gaming chair back, minCGQ4 represents the minimum distance collected by the fourth ultrasonic sensor, and the fourth ultrasonic sensor is set at the end of the gaming chair back pedal, and the external environment data collected by the external environment data acquisition unit is expressed as follows:

[0060]

[0061] Among them, WBHJ represents the external environment dataset, CGQ t，1 Indicates the distance collected by the first ultrasonic sensor at time t, CGQ t，2 Indicates the distance collected by the second ultrasonic sensor at time t, CGQ t，3 The distance collected by the third ultrasonic sensor at time t, CGQ t，4 represents the distance collected by the fourth ultrasonic sensor at time t;

[0062] When the external environment data acquisition unit collects external environment data, t，1 , CGQ t，2 , CGQ t，3 , CGQ t，4When any of the distances is less than the factory-set distance threshold of the gaming chair, the system will directly jump to the safety warning module and control the gaming chair to stop to avoid collision.

[0063] The environmental data analysis module performs a comprehensive calculation based on the external environmental data collected by the environmental data acquisition module and the gaming chair activity position information library to obtain the final distance risk coefficient and speed risk coefficient, and sends the calculated distance risk coefficient to the safety warning module;

[0064] The specific steps for the environmental data analysis module to comprehensively calculate the distance risk coefficient based on the external environmental data collected in the environmental data acquisition module and the gaming chair activity position information database are as follows:

[0065] Step A1: Calculate the i-th distance risk coefficient of the i-th ultrasonic sensor. The specific expression is as follows:

[0066]

[0067] Among them, JCXS i represents the i-th distance risk coefficient, minCGQ i Indicates the minimum distance collected by the i-th ultrasonic sensor, CGQ t，i represents the distance collected by the i-th ultrasonic sensor at time t, i = {1, 2, 3, 4};

[0068] Step A2: Output the largest distance risk coefficient among the four ultrasonic sensors as the final distance risk coefficient. The specific expression is as follows:

[0069]

[0070] in, Indicates selecting the largest JCXS in the interval i = {1, 2, 3, 4} i Output is performed, and JLFX represents the final distance risk coefficient.

[0071] The specific steps for the environmental data analysis module to comprehensively calculate the speed risk coefficient based on the external environmental data collected in the environmental data acquisition module and the gaming chair activity position information library are as follows:

[0072] Step B1: Calculate the velocity risk coefficient of the jth ultrasonic sensor. The specific expression is as follows:

[0073]

[0074] Among them, v j represents the velocity risk coefficient of the jth ultrasonic sensor, CGQ t，jrepresents the distance collected by the jth ultrasonic sensor at time t, CGQ t-1，j represents the distance collected by the jth ultrasonic sensor at time t-1, Δt represents the sampling time interval, j = {1, 2, 3, 4};

[0075] Step B2: Output the maximum velocity risk coefficient among the four ultrasonic sensors as the final velocity risk coefficient. The specific expression is as follows:

[0076]

[0077] Among them, SDFX represents the final speed risk coefficient, v j represents the velocity risk coefficient of the jth ultrasonic sensor, Indicates selecting the largest v in j = {1, 2, 3, 4} j Output;

[0078] When the environmental data analysis module executes step B1, it also includes the following steps: j When the speed threshold is exceeded, the system directly jumps to the safety warning module and controls the gaming chair to stop, thus avoiding collisions caused during the sampling time interval.

[0079] The safety warning module includes a warning unit and a correction unit. The warning unit calculates a comprehensive risk level based on the final distance risk coefficient and speed risk coefficient, and executes the warning instruction based on the comprehensive risk level. The correction unit is used to recalibrate the constructed gaming chair activity position information database when the gaming chair is installed or repositioned. The correction unit requires active calibration by the staff. The specific steps for the warning unit to calculate the comprehensive risk level based on the final distance risk coefficient and speed risk coefficient are as follows:

[0080] Step C1: inputting the distance risk coefficient and speed risk coefficient finally obtained into the distance judgment function and the speed judgment function respectively, and outputting the distance risk level and the speed risk level respectively;

[0081] Step C2: Obtaining a comprehensive risk level based on the distance risk level and the speed risk level, specifically: if the output distance risk level and speed risk level are uploaded from the same ultrasonic sensor, that is, and j=i, then the distance risk level and the speed risk level are comprehensively calculated to obtain a comprehensive risk level, and the early warning instruction is executed according to the comprehensive risk level; if the output distance risk level and the speed risk level are not uploaded from the same ultrasonic sensor, that is, and j≠i, then the higher of the distance risk level and the speed risk level is used as the comprehensive risk level, and the early warning instruction is executed according to the comprehensive risk level, and the specific expressions of the distance judgment function and the speed judgment function are as follows:

[0082] Distance judgment function:

[0083]

[0084] Speed judgment function:

[0085]

[0086] Among them, JLDJ represents the distance judgment function, and its output result is used as the distance risk level. SDDJ represents the speed judgment function, and its output result is used as the speed risk level. JLDY and JLDE represent the first and second thresholds for distance judgment, respectively. SDDY and SDDE represent the first and second thresholds for speed judgment, respectively. The specific calculation expression for the comprehensive risk level is as follows:

[0087] ZHFX=Round(α*JLDJ)+β*SDDJ

[0088] Where ZHFX represents the comprehensive risk level, Round represents the rounding function, α and β represent weight coefficients whose sum is 1, JLDJ represents the distance judgment function, and SDDJ represents the speed judgment function. Based on the comprehensive risk level, the specific steps for executing the warning instruction are as follows:

[0089] When the comprehensive risk level ZHFX ≥ the warning value YJZ, the activity range of the gaming chair will be reduced by 60% to 70%, and vibration will be emitted at the same time. The reduction in amplitude can ensure that the gamers can promptly detect the approach of people or animals and shut down the chair in time;

[0090] When the comprehensive risk level ZHFX is less than the warning value YJZ, no warning will be issued.

[0091] Example:

[0092] The data recorded in this embodiment are shown in Table 1 below;

[0093] Table 1

[0094]

[0095]

[0096] Calculate at this time

[0097] At this time, JLDJ=0.5, SDDJ=1, ZHFX=Round(0.632)=0.6>0.45, and an early warning is issued;

[0098] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A gaming chair safety warning system, characterized by: Including environmental data acquisition module, environmental data analysis module and safety warning module; The environmental data acquisition module includes a gaming chair activity data acquisition unit and an external environment data acquisition unit. The gaming chair activity data acquisition unit is used to collect all current activity positions of the gaming chair and build a gaming chair activity position information library. The external environment data acquisition unit obtains external environment data based on an ultrasonic sensor installed on the gaming chair. The environmental data analysis module performs a comprehensive calculation based on the external environmental data collected by the environmental data collection module and the gaming chair activity position information library to obtain a distance risk coefficient and a speed risk coefficient, and sends the calculated distance risk coefficient to the safety warning module; The safety warning module includes a warning unit and a correction unit. The warning unit calculates a comprehensive risk level based on the distance risk coefficient and the speed risk coefficient obtained finally, and executes a warning instruction based on the comprehensive risk level. The correction unit is used to recalibrate the constructed gaming chair activity position information library when the gaming chair is installed or repositioned. The specific steps of the environmental data analysis module performing comprehensive calculation based on the external environmental data collected by the environmental data collection module and the gaming chair activity position information library to obtain the distance risk coefficient are as follows: Step A1: Calculate the i-th distance risk coefficient of the i-th ultrasonic sensor. The specific expression is as follows: Among them, JCXS i represents the i-th distance risk coefficient, minCGQ i Indicates the minimum distance collected by the i-th ultrasonic sensor, CGQ t，i represents the distance collected by the i-th ultrasonic sensor at time t, i = {1, 2, 3, 4}; Step A2: Output the largest distance risk coefficient among the four ultrasonic sensors as the final distance risk coefficient. The specific expression is as follows: in, Indicates selecting the largest JCXS in the interval i = {1, 2, 3, 4} i Output, JLFX represents the final distance risk coefficient; The specific steps of the environmental data analysis module performing comprehensive calculation based on the external environmental data collected by the environmental data collection module and the gaming chair activity position information library to obtain the final speed risk coefficient are as follows: Step B1: Calculate the velocity risk coefficient of the jth ultrasonic sensor. The specific expression is as follows: Among them, v j represents the velocity risk coefficient of the jth ultrasonic sensor, CGQ t，j represents the distance collected by the jth ultrasonic sensor at time t, CGQ t-1，j represents the distance collected by the jth ultrasonic sensor at time t-1, Δt represents the sampling time interval, j = {1, 2, 3, 4}; Step B2: Output the maximum velocity risk coefficient among the four ultrasonic sensors as the final velocity risk coefficient. The specific expression is as follows: Among them, SDFX represents the final speed risk coefficient, v j represents the velocity risk coefficient of the jth ultrasonic sensor, Indicates selecting the largest v in j = {1, 2, 3, 4} j Output.

2. The gaming chair safety warning system according to claim 1, characterized in that: The specific steps of the gaming chair activity data collection unit for collecting all current gaming chair activity positions and building a gaming chair activity position information database are as follows: Step A1: Set the orientation of the gaming chair and initialize the orientation of the gaming chair; Step A2: Rotate the gaming chair in several extreme directions; Step A3: Record the distance of the nearest object collected by each ultrasonic sensor on the gaming chair, record the minimum distance recorded by each sensor, and build a gaming chair activity position information database.

3. The gaming chair safety warning system according to claim 1, characterized in that: The specific expression of the gaming chair activity position information database is as follows: Among them, YXY represents the gaming chair activity position information library, minCGQ1 represents the minimum distance collected by the first ultrasonic sensor, and the first ultrasonic sensor is set on the left side of the gaming chair back, minCGQ2 represents the minimum distance collected by the second ultrasonic sensor, and the second ultrasonic sensor is set on the top of the gaming chair back, minCGQ3 represents the minimum distance collected by the third ultrasonic sensor, and the third ultrasonic sensor is set on the right side of the gaming chair back, minCGQ4 represents the minimum distance collected by the fourth ultrasonic sensor, and the fourth ultrasonic sensor is set at the end of the gaming chair back pedal.

4. The gaming chair safety warning system according to claim 3, characterized in that: The external environment data collected by the external environment data collection unit is expressed as follows: Among them, WBHJ represents the external environment dataset, CGQ t，1 Indicates the distance collected by the first ultrasonic sensor at time t, CGQ t，2 Indicates the distance collected by the second ultrasonic sensor at time t, CGQ t，3 The distance collected by the third ultrasonic sensor at time t, CGQ t，4 Represents the distance collected by the fourth ultrasonic sensor at time t.

5. The gaming chair safety warning system according to claim 4, characterized in that: The specific steps of calculating the comprehensive risk level based on the distance risk coefficient and speed risk coefficient obtained by the early warning unit are as follows: Step C1: inputting the distance risk coefficient and speed risk coefficient finally obtained into the distance judgment function and the speed judgment function respectively, and outputting the distance risk level and the speed risk level respectively; Step C2: Obtain a comprehensive risk level based on the distance risk level and the speed risk level. Specifically, if the output distance risk level and speed risk level are uploaded from the same ultrasonic sensor, that is, j=i, then the distance risk level and the speed risk level are comprehensively calculated to obtain a comprehensive risk level, and the early warning instruction is executed based on the comprehensive risk level. If the output distance risk level and speed risk level are not uploaded from the same ultrasonic sensor, that is, j≠i, then the higher of the distance risk level and the speed risk level is used as the comprehensive risk level, and the early warning instruction is executed based on the comprehensive risk level.

6. The gaming chair safety warning system according to claim 5, characterized in that: The specific expressions of the distance judgment function and the speed judgment function are as follows: Distance judgment function: Speed judgment function: Among them, JLDJ represents the distance judgment function, and its output result is used as the distance risk level. SDDJ represents the speed judgment function, and its output result is used as the speed risk level. JLDY and JLDE respectively represent the first threshold and second threshold of distance judgment, and SDDY and SDDE respectively represent the first threshold and second threshold of speed judgment.

7. The gaming chair safety warning system according to claim 6, characterized in that: The specific calculation expression of the comprehensive risk level is as follows: ZHFX=Round(α*JLDJ+β*SDDJ) Among them, ZHFX represents the comprehensive risk level, Round represents the rounding function, α and β represent weight coefficients whose sum is 1, JLDJ represents the distance judgment function, and SDDJ represents the speed judgment function.

8. The gaming chair safety warning system according to claim 7, characterized in that: The specific steps for executing the early warning instruction based on the comprehensive risk level are: When the comprehensive risk level ZHFX ≥ warning value YJZ, the activity range of the gaming chair is reduced by 60% to 70%, and vibration is emitted at the same time; When the comprehensive risk level ZHFX is less than the warning value YJZ, no warning will be issued.

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