A method and apparatus for reducing collisions during a motion

Abstract

The application provides a method and device for reducing collision in a movement process, the method for reducing collision in the movement process comprising: all first sensing devices located in a preset area establishing communication connections with each other; the first sensing devices acquiring movement data of wearers themselves and sending the movement data to the first sensing devices establishing communication connections therewith; the first sensing devices judging whether the movers exist risks based on the received movement data and the movement data of the first sensing devices, and if so, the first sensing devices sending risk prompt information to the movers. The application realizes monitoring of each mover in the preset area, and sends risk prompt information to the mover when the mover exists risks, so that the mover can take risk response measures in time, collision of the mover is avoided, and the risk of injury of the mover in the movement process is reduced, and the safety is high.

Description

Technical Field

[0001] This application relates to the field of intelligent control technology, specifically to a method and apparatus for reducing collisions during motion. Background Technology

[0002] Currently, people can only perceive surrounding information through their eyes during sports such as running, skiing, and swimming. Therefore, when an emergency occurs outside the athlete's visual field, the athlete cannot obtain danger information in time, let alone make an accurate warning of collision risk, resulting in a low probability of avoiding accidents. Summary of the Invention

[0003] In order to overcome the shortcomings of the prior art, this application provides a method and apparatus for reducing collisions during movement.

[0004] The specific technical solution is as follows:

[0005] A method for reducing collisions during movement, applied to a system consisting of at least two first sensing devices worn on a person exercising, the method comprising:

[0006] All first sensing devices located within the preset area establish communication connections with each other;

[0007] The first sensing device acquires the wearer's own motion data and sends the motion data to the first sensing device with which it has established a communication connection;

[0008] The first sensing device determines whether there is a risk to the athlete based on the received motion data and its own motion data. If there is a risk, the first sensing device sends a risk warning message to the athlete.

[0009] In one embodiment, the first sensing device determines whether the exerciser poses a risk based on received motion data and its own motion data, including:

[0010] The first sensing device generates a first predicted trajectory based on its own motion data and a second predicted trajectory based on the received motion data. If the first predicted trajectory and the second predicted trajectory have an overlapping area, it is determined that there is a risk.

[0011] In one embodiment, the self-movement data includes first motion data and second motion data, wherein the first motion data is the exerciser's past motion data and the second motion data is the exerciser's current motion data;

[0012] The received data includes third motion data, which is second motion data sent by the first sensing device with which it has established a communication connection.

[0013] In one embodiment, the first sensing device determines whether the exerciser poses a risk based on received motion data and its own motion data, including:

[0014] The first sensing device determines the athlete's proficiency based on the first motion data and generates a risk threshold based on the proficiency.

[0015] The first sensing device generates a first predicted trajectory based on the second motion data, and generates a second predicted trajectory based on the third motion data;

[0016] If the first predicted trajectory and the second predicted trajectory have an overlapping area, a safe time value is generated based on the second motion data and the third motion data;

[0017] If the safe time value is within the risk threshold, a risk is determined to exist.

[0018] In one embodiment, the safe time value is equal to the sum of the athlete's reaction time value and the athlete's avoidance time value.

[0019] In one embodiment, the system further includes a second sensing device adjacent to the motion area, the preset area being the sensing area of ​​the second sensing device, and the method for reducing collisions during motion further includes:

[0020] The second sensing device establishes a communication connection with the first sensing device that enters its sensing area;

[0021] The first sensing device acquires the wearer's own motion data and sends the motion data to the second sensing device;

[0022] The second sensing device determines whether there is a risk to the athlete based on all the received motion data. If there is a risk, the second sensing device sends a risk warning signal to the first sensing device worn by the athlete at risk, and the first sensing device sends risk warning information to the athlete.

[0023] In one embodiment, the second sensing device determines whether the athlete poses a risk based on all received motion data, including:

[0024] The second sensing device generates a corresponding third predicted trajectory based on the received motion data, and summarizes all the third predicted trajectories. If any two third predicted trajectories have an overlapping area, it is determined that there is a risk.

[0025] In one embodiment, the second sensing device determines whether the exerciser poses a risk based on all received motion data, and then further includes: if a risk exists, the second sensing device sends a risk warning message.

[0026] In one embodiment, the risk alert information includes one or more of the following: voice alert, sound alert, light alert, and vibration alert.

[0027] A device for reducing collisions during movement, applied to a system consisting of at least two first sensing devices, comprising:

[0028] The communication module is used to enable all first sensing devices located within a preset area to establish communication connections with each other;

[0029] The acquisition module is used to enable the first sensing device to acquire the wearer's own motion data and send the motion data to the first sensing device with which it has established a communication connection;

[0030] The judgment module is used to enable the first sensing device to determine whether there is a risk to the exerciser based on the received motion data and its own motion data. If there is a risk, the first sensing device sends a risk warning message to the exerciser.

[0031] This application has at least the following beneficial effects:

[0032] This application provides a method and apparatus for reducing collisions during exercise, applied to a system consisting of at least two first sensing devices. The first sensing devices are worn on the exerciser. The method for reducing collisions during exercise includes: all first sensing devices located within a preset area establishing a communication connection with each other; the first sensing devices acquiring the wearer's own motion data and sending the motion data to the first sensing devices with which they have established a communication connection; the first sensing devices determining whether there is a risk to the exerciser based on the received motion data and their own motion data, and if so, sending a risk warning message to the exerciser.

[0033] This application enables the monitoring of athletes within a preset area, and sends risk warning information to athletes when there is a risk, allowing athletes to take timely risk response measures, avoid collisions, reduce the risk of injury during exercise, and ensure high safety. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is a first flowchart of the method for reducing collisions during motion provided in Example 1;

[0036] Figure 2 This is a second flowchart of the method for reducing collisions during motion provided in Example 1;

[0037] Figure 3 This is a schematic diagram of a module for a device that reduces collisions during movement, as provided in Embodiment 2.

[0038] Figure label:

[0039] 1-Communication module; 2-Acquisition module; 3-Judgment module. Detailed Implementation

[0040] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0041] Currently, people can only perceive surrounding information through their eyes during sports such as running, skiing, and swimming. Therefore, when an emergency occurs outside the athlete's visual field, the athlete cannot obtain danger information in time, let alone make an accurate warning of collision risk, resulting in a low probability of avoiding accidents.

[0042] Based on this, this application provides a method and apparatus for reducing collisions during movement, applied to a system consisting of at least two first sensing devices, the first sensing devices being worn on the body of the exerciser.

[0043] like Figure 1 and Figure 2 As shown, methods to reduce collisions during movement include:

[0044] S100: All first sensing devices located within the preset area establish communication connections with each other;

[0045] S200: The first sensing device acquires the wearer's own motion data and sends the motion data to the first sensing device with which it has established a communication connection;

[0046] S300: The first sensing device determines whether there is a risk to the athlete based on the received motion data and its own motion data. If there is a risk, the first sensing device sends a risk warning message to the athlete.

[0047] This application enables the monitoring of athletes within a preset area, and sends risk warning information to athletes when there is a risk, allowing athletes to take timely risk response measures, avoid collisions, reduce the risk of injury during exercise, and ensure high safety.

[0048] Example 1

[0049] like Figure 1 As shown, this embodiment provides a method for reducing collisions during movement, applied to a system consisting of at least two first sensing devices, which are worn on the person exercising.

[0050] like Figure 1 and Figure 2 As shown, methods to reduce collisions during movement include:

[0051] S110. All first sensing devices located within the preset area establish communication connections with each other;

[0052] S210, The first sensing device acquires the wearer's own motion data;

[0053] S221, The first sensing device sends motion data to the first sensing device with which it has established a communication connection;

[0054] S311. The first sensing device determines whether the exerciser is at risk based on the received motion data and its own motion data;

[0055] S331. If present, the first sensing device sends a risk warning message to the athlete.

[0056] This embodiment enables the monitoring of each athlete within a preset area, and sends risk warning information to athletes when there is a risk, allowing athletes to take timely risk response measures, avoid collisions, reduce the risk of injury during exercise, and ensure high safety.

[0057] Specifically, the "first sensing device" in step S311 refers to any one of the first sensing devices in the preset area, that is, any one of the first sensing devices in the preset area has the function of sending motion data and receiving motion data from the first sensing device with which it has established a communication connection.

[0058] Specifically, motion data includes, but is not limited to, motion speed, direction of motion, and position of motion.

[0059] In one embodiment, the first sensing device includes an acceleration detection unit, a barometric pressure detection unit, and an angular motion detection unit. This application uses the acceleration detection unit to detect the device's own acceleration to obtain its motion speed, the barometric pressure detection unit to detect the altitude of the device's location to obtain its motion position, and the angular motion detection unit to detect the device's own angular velocity to obtain its motion direction. This configuration makes the wearer's motion data acquired by the first sensing device more closely match the actual data, resulting in high accuracy and low error.

[0060] Preferably, the acceleration detection unit is an accelerometer. Specifically, the acceleration detection unit is a triaxial accelerometer to detect acceleration in the X, Y, and Z axes.

[0061] Preferably, the air pressure detection unit is a barometer.

[0062] Preferably, the angular motion detection unit is a gyroscope.

[0063] Specifically, risk warning information includes, but is not limited to, one or more of the following: voice alarms, sound alarms, light alarms, and vibration alarms.

[0064] Specifically, the communication connection includes WIFI communication, Bluetooth communication, or 4G / 5G communication, but is not limited to these.

[0065] like Figure 1 and Figure 2 As shown, in one embodiment, S311, the first sensing device determines whether the exerciser poses a risk based on the received motion data and its own motion data, including:

[0066] The first sensing device generates a first predicted trajectory based on its own motion data and a second predicted trajectory based on the received motion data. If the first predicted trajectory and the second predicted trajectory have an overlapping area, it is determined that there is a risk.

[0067] This embodiment predicts the trajectory of an athlete based on real-time motion data, and determines whether a collision will occur in the future based on the predicted trajectory, thereby determining whether the athlete is at risk. This collision judgment method has high accuracy.

[0068] like Figure 1 and Figure 2 As shown, in one embodiment, the user's motion data includes first motion data and second motion data. The first motion data is the user's past motion data, and the second motion data is the user's current motion data.

[0069] The received data includes third motion data, which is the second motion data sent by the first sensing device with which it has established a communication connection.

[0070] This embodiment uses the athlete's past data as one of the factors in determining whether there is a risk. By extracting the athlete's exercise preferences from the past data, the second predicted trajectory generated by the first sensing device can better match the athlete's actual exercise trajectory, thereby increasing the accuracy of the judgment result.

[0071] like Figure 1 and Figure 2As shown, in one embodiment, S311, the first sensing device determines whether the exerciser poses a risk based on the received motion data and its own motion data, including:

[0072] The first sensing device determines the athlete's proficiency based on the first motion data and generates a risk threshold based on the proficiency.

[0073] The first sensing device generates a first predicted trajectory based on the second motion data, and generates a second predicted trajectory based on the third motion data;

[0074] If the first predicted trajectory and the second predicted trajectory have an overlapping area, a safe time value is generated based on the second motion data and the third motion data.

[0075] If the safe time value is within the risk threshold, a risk is determined to exist.

[0076] Different athletes have different levels of proficiency, and the reaction time and avoidance time of athletes with different levels of proficiency are also different. This embodiment judges the athlete's proficiency based on the athlete's past data and generates different risk thresholds based on this, so as to make risk judgment. It is highly intelligent, widely adaptable and highly accurate.

[0077] Specifically, the risk threshold refers to the time value required for an athlete to avoid risks, generated based on their skill level.

[0078] Specifically, the safe time value is equal to the sum of the athlete's reaction time value and the athlete's avoidance time value for this sport.

[0079] This embodiment provides a method for reducing collisions during movement. The system also includes a second sensing device, which is located near the movement area. The preset area is the sensing area of ​​the second sensing device.

[0080] Specifically, the second sensing device is a service station integrating sensing, computing, and communication capabilities. The second sensing device can sense information within the sensing area in real time and interconnect with the first sensing device within the sensing area, providing a global perspective for risk assessment of all athletes within the sensing area and offering better safety guarantees.

[0081] In one embodiment, the second sensing device establishes a communication connection with the first sensing device that enters its sensing area and sends data to the first sensing device with which it has established the communication connection. The data received by the first sensing device also includes fourth motion data, which is the data sent by the second sensing device with which it has established the communication connection.

[0082] In one embodiment, S311, the first sensing device determines whether the exerciser poses a risk based on the received motion data and its own motion data, including:

[0083] The first sensing device determines the athlete's proficiency based on the first motion data and generates a risk threshold based on the proficiency.

[0084] The first sensing device generates a first predicted trajectory based on the second motion data, and generates a second predicted trajectory based on the third motion data;

[0085] If the first and second predicted trajectories overlap, a safe time value is generated based on the second, third, and fourth motion data.

[0086] If the safe time value is within the risk threshold, a risk is determined to exist.

[0087] In this embodiment, data is sent from the second sensing device to the first sensing device. The first sensing device uses the data sent by the second sensing device (i.e., the fourth motion data) as one of the factors in determining whether there is a risk, thereby improving the accuracy of the judgment.

[0088] Specifically, the fourth motion data includes the location information of the second sensing device. This allows the first sensing device to understand the relative positions of other first sensing devices based on the location information, enabling further assessment of potential risks and improving the accuracy of the assessment.

[0089] like Figure 2 As shown, methods to reduce collisions during movement also include:

[0090] S120, The second sensing device establishes a communication connection with the first sensing device that enters its sensing area;

[0091] S210, The first sensing device acquires the wearer's own motion data;

[0092] S222, The first sensing device sends motion data to the second sensing device with which it has established a communication connection;

[0093] S312, The second sensing device determines whether the athlete poses a risk based on all received motion data;

[0094] S320. If present, the second sensing device sends a risk warning signal to the first sensing device worn by the athlete at risk.

[0095] S331, The first sensing device sends a risk warning message to the athlete.

[0096] The first sensing device provided in this embodiment can not only establish communication connections with all first sensing devices within the sensing area, but also establish communication connections with second sensing devices. It also has a computing function. This embodiment increases the number of devices that can perform risk assessment. Athletes do not need to rely entirely on the first sensing device for risk assessment during exercise, avoiding situations where risk assessment of athletes within the sensing area cannot be performed due to the failure of the first sensing device, thus ensuring high safety.

[0097] like Figure 1 and Figure 2 As shown, in one embodiment, S312, the second sensing device determines whether there is a risk to the athlete based on all received motion data, and then further includes: S332, if there is a risk, the second sensing device sends a risk warning message.

[0098] This setup increases the number of devices that output risk warning information, and also increases the ways in which athletes can receive risk warning information, thus increasing the probability that athletes will obtain risk warning information.

[0099] like Figure 1 and Figure 2 As shown, in one embodiment, S312, the second sensing device determines whether the athlete poses a risk based on all received motion data, including:

[0100] The second sensing device generates a corresponding third predicted trajectory based on the received motion data, and summarizes all the third predicted trajectories. If any two third predicted trajectories have an overlapping area, it is determined that there is a risk.

[0101] This embodiment predicts the trajectory of an athlete based on real-time motion data and determines whether a collision will occur in the future based on the predicted trajectory, thereby assessing whether the athlete is at risk. This collision assessment method is highly accurate, and the second sensing device sends risk warning information to the athlete based on the collision analysis results, thus effectively reducing the risk of collisions between athletes within the sensing area.

[0102] In one embodiment, this method is applied to the field of skiing, but is not limited thereto. Skiers wear first sensing devices, and multiple second sensing devices are sequentially installed within the ski resort.

[0103] Example 2

[0104] like Figure 3 As shown, this embodiment provides a device for reducing collisions during movement, applied to a system consisting of at least two first sensing devices, including:

[0105] Communication module 1 is used to enable all first sensing devices located within a preset area to establish communication connections with each other;

[0106] The acquisition module 2 is used to enable the first sensing device to acquire the wearer's own motion data and send the motion data to the first sensing device with which it has established a communication connection;

[0107] The judgment module 3 is used to enable the first sensing device to determine whether there is a risk to the athlete based on the received motion data and its own motion data. If there is a risk, the first sensing device sends a risk warning message to the athlete.

[0108] like Figure 3 As shown, this embodiment provides a device for reducing collisions during movement. The system also includes a second sensing device, which is located near the movement area. The preset area is the sensing area of ​​the second sensing device.

[0109] Communication module 1 is also used to enable the second sensing device to establish a communication connection with the first sensing device that enters its sensing area.

[0110] The acquisition module 2 is also used to enable the first sensing device to send motion data to the second sensing device.

[0111] The judgment module 3 is also used to enable the second sensing device to determine whether there is a risk to the athlete based on all the received motion data. If there is a risk, the second sensing device sends a risk warning signal to the first sensing device worn by the athlete at risk, and the first sensing device sends a risk warning message to the athlete.

[0112] This embodiment increases the number of devices capable of risk assessment. Athletes do not need to rely entirely on the first sensing device for risk assessment during exercise, avoiding situations where risk assessment of athletes within the sensing area cannot be performed due to malfunction of the first sensing device, thus ensuring high safety.

[0113] This application enables the monitoring of all athletes within the sports area, and provides risk warnings to athletes when risks exist, allowing athletes to take timely risk response measures, avoid collisions, reduce the risk of injury during sports, and ensure high safety.

[0114] Note that the above description is merely a preferred embodiment and the technical principles employed in this application. Those skilled in the art will understand that this application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments. Many other equivalent embodiments may be included without departing from the concept of this application, and the scope of this application is determined by the scope of the appended claims.

[0115] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for reducing collisions during motion, applied to a system consisting of at least two first sensing devices, characterized in that, The first sensing device is worn by the athlete, and the methods for reducing collisions during the exercise include: All first sensing devices located within the preset area establish communication connections with each other; The first sensing device acquires the wearer's own motion data and sends the motion data to the first sensing device with which it has established a communication connection; The first sensing device determines whether there is a risk to the exerciser based on the received motion data and its own motion data. If there is a risk, the first sensing device sends a risk warning message to the exerciser. The first sensing device determines whether there is a risk to the exerciser based on the received motion data and its own motion data, including: the first sensing device generates a first predicted trajectory based on its own motion data and generates a second predicted trajectory based on the received motion data; if the first predicted trajectory and the second predicted trajectory have an overlapping area, it is determined that there is a risk. The self-movement data includes first motion data and second motion data, where the first motion data is the athlete's past motion data and the second motion data is the athlete's current motion data; the received data includes third motion data, which is the second motion data sent by the first sensing device with which it has established a communication connection; The first sensing device determines whether a user faces a risk based on received motion data and its own motion data, including: the first sensing device determining the user's proficiency based on the first motion data and generating a risk threshold based on the proficiency; the first sensing device generating a first predicted trajectory based on the second motion data and a second predicted trajectory based on the third motion data; if the first predicted trajectory and the second predicted trajectory overlap, generating a safe time value based on the second motion data and the third motion data; and if the safe time value is within the risk threshold, determining that a risk exists.

2. The method for reducing collisions during movement according to claim 1, characterized in that, The safe time value is equal to the sum of the athlete's reaction time value and the athlete's avoidance time value.

3. The method for reducing collisions during movement according to claim 1, characterized in that, The system further includes a second sensing device, which is adjacent to the motion area. The preset area is the sensing area of ​​the second sensing device. The method for reducing collisions during motion also includes: The second sensing device establishes a communication connection with the first sensing device that enters its sensing area; The first sensing device acquires the wearer's own motion data and sends the motion data to the second sensing device; The second sensing device determines whether there is a risk to the athlete based on all the received motion data. If there is a risk, the second sensing device sends a risk warning signal to the first sensing device worn by the athlete at risk, and the first sensing device sends risk warning information to the athlete.

4. The method for reducing collisions during movement according to claim 3, characterized in that, The second sensing device determines whether the athlete poses a risk based on all received motion data, including: The second sensing device generates a corresponding third predicted trajectory based on the received motion data, and summarizes all the third predicted trajectories. If any two third predicted trajectories have an overlapping area, it is determined that there is a risk.

5. The method for reducing collisions during movement according to claim 3, characterized in that, The second sensing device determines whether there is a risk to the athlete based on all received motion data, and then further includes: if there is a risk, the second sensing device sends a risk warning message.

6. The method for reducing collisions during movement according to any one of claims 1, 3, or 5, characterized in that, The risk warning information includes one or more of the following: voice alarm, sound alarm, light alarm, and vibration alarm.

7. A device for reducing collisions during movement, applied to a system consisting of at least two first sensing devices, characterized in that, include: The communication module is used to enable all first sensing devices located within a preset area to establish communication connections with each other; The acquisition module is used to enable the first sensing device to acquire the wearer's own motion data and send the motion data to the first sensing device with which it has established a communication connection; The judgment module is used to enable the first sensing device to judge whether there is a risk to the exerciser based on the received motion data and its own motion data. If there is a risk, the first sensing device sends a risk warning message to the exerciser. The first sensing device determines whether there is a risk to the exerciser based on the received motion data and its own motion data, including: the first sensing device generates a first predicted trajectory based on its own motion data and generates a second predicted trajectory based on the received motion data; if the first predicted trajectory and the second predicted trajectory have an overlapping area, it is determined that there is a risk. The self-movement data includes first motion data and second motion data, where the first motion data is the athlete's past motion data and the second motion data is the athlete's current motion data; the received data includes third motion data, which is the second motion data sent by the first sensing device with which it has established a communication connection; The first sensing device determines whether a user faces a risk based on received motion data and its own motion data, including: the first sensing device determining the user's proficiency based on the first motion data and generating a risk threshold based on the proficiency; the first sensing device generating a first predicted trajectory based on the second motion data and a second predicted trajectory based on the third motion data; if the first predicted trajectory and the second predicted trajectory overlap, generating a safe time value based on the second motion data and the third motion data; and if the safe time value is within the risk threshold, determining that a risk exists.

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