CN114558279A - Safety control method of running machine and running machine - Google Patents
Safety control method of running machine and running machine Download PDFInfo
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- CN114558279A CN114558279A CN202011356023.8A CN202011356023A CN114558279A CN 114558279 A CN114558279 A CN 114558279A CN 202011356023 A CN202011356023 A CN 202011356023A CN 114558279 A CN114558279 A CN 114558279A
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- 238000000034 method Methods 0.000 title claims abstract description 49
- 230000002159 abnormal effect Effects 0.000 claims description 27
- 238000004590 computer program Methods 0.000 claims description 6
- 238000012549 training Methods 0.000 description 11
- 238000012545 processing Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000006378 damage Effects 0.000 description 3
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B22/00—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
- A63B22/02—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with movable endless bands, e.g. treadmills
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
- A63B2024/0093—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load the load of the exercise apparatus being controlled by performance parameters, e.g. distance or speed
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
- A63B2220/806—Video cameras
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Abstract
The invention relates to a safety control method of a treadmill and the treadmill, wherein the safety control method of the treadmill comprises the following steps: acquiring a face image shot by a first camera device; wherein, the first camera device is arranged at the upper end of the front side of the body of the running machine; and controlling the rotation speed of the running machine according to the proportion of the human face in the human face image and the positive correlation between the preset proportion of the human face and the rotation speed of the running machine. Compared with the prior art, the method and the device can effectively avoid the occurrence of accidents, improve the safety of the treadmill, pre-judge the position of the user based on the face image, and then control the rotation speed of the treadmill, so that the method and the device are more suitable for the actual use scene of the user, and have higher accuracy.
Description
Technical Field
The embodiment of the application relates to the technical field of treadmills, in particular to a safety control method of a treadmill and the treadmill.
Background
At present, the safety control of the treadmill in the market is mainly performed based on an optical sensor, and the optical sensor is arranged on the treadmill, so that whether an object appears in a designated area of the treadmill is detected.
However, such a safety control method using an optical sensor cannot determine the type of an object, and cannot be applied to an actual use scene of a user because the treadmill can be suspended only when the object is not in a predetermined area.
Disclosure of Invention
The embodiment of the application provides a safety control method of a running machine and the running machine, which can effectively avoid the occurrence of accidents and improve the safety of the running machine, and the technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a safety control method for a treadmill, including:
acquiring a face image shot by a first camera device; the first camera device is arranged at the upper end of the front side of the body of the running machine;
and controlling the rotation speed of the running machine according to the proportion of the human face in the human face image and the positive correlation between the preset proportion of the human face and the rotation speed of the running machine.
Optionally, after the face image captured by the first camera device is acquired, the method includes:
inputting the face image into a preset face recognition model, and acquiring pixel points of a face area in the face image;
and acquiring the proportion of the face in the face image according to the ratio of the number of the pixel points in the face region to the total number of the pixel points in the face image.
Optionally, the controlling the rotation speed of the treadmill according to the proportion of the human face in the human face image and the positive correlation between the preset proportion of the human face and the rotation speed of the treadmill includes:
when the proportion of the human face in the human face image is higher, controlling the running machine to rotate at a higher speed;
and controlling the running machine to rotate at a lower speed when the proportion of the face in the face image is lower.
Optionally, the step of controlling the rotation speed of the treadmill according to the proportion of the human face in the human face image and the positive correlation between the preset proportion of the human face and the rotation speed of the treadmill further includes the steps of:
and when the proportion of the face in the face image is lower than a first threshold value, controlling the running machine to stop rotating.
Optionally, the controlling the rotation speed of the treadmill according to the proportion of the human face in the human face image and the positive correlation between the preset proportion of the human face and the rotation speed of the treadmill includes:
acquiring a target proportion interval in which the proportion of the face in the face image is located;
acquiring a target rotating speed according to the target proportion interval and the corresponding relation between a preset proportion interval and a plurality of levels of rotating speeds;
controlling the running machine to rotate at the target rotating speed.
Optionally, the obtaining a target-level rotation speed and controlling the treadmill to rotate at the target rotation speed includes:
and when the duration of the face proportion in the face image in the target proportion interval is greater than a preset time threshold, controlling the running machine to rotate at the target rotation speed.
Optionally, before the face image captured by the first camera device is acquired, the method further includes:
when a running machine starting instruction is received, detecting whether a user enters a shooting area of the first camera device; if yes, controlling the running machine to start; if not, controlling the treadmill not to start.
Optionally, the method further comprises the steps of:
acquiring a running platform area image shot by a second camera device; the second camera device is arranged at the lower end of the front side of the body of the running machine;
and controlling the running machine to stop rotating when the abnormal object is identified from the running platform area image.
Optionally, after acquiring the running zone image captured by the second camera, the method includes:
and inputting the running area image into a preset abnormal object recognition model, and confirming whether an abnormal object exists in the running area image.
In a second aspect, an embodiment of the present application provides a treadmill, including: the treadmill comprises a body, a treadmill arranged on the body, a first camera device arranged at the upper end of the front side of the body, and a control device establishing data connection with the first camera device, wherein the control device comprises a processor, a memory and a computer program which is stored in the memory and can run on the processor, and is characterized in that the steps of the safety control method of the treadmill according to the first aspect are realized when the processor executes the computer program.
In the embodiment of the application, set up first camera device in the upper end of the fuselage front side of treadmill, acquire the face image that first camera device shot, through the proportion of the face in the face image and the positive correlation between the proportion of the face of predetermineeing and the treadmill rotational speed, realize the real-time control to treadmill slew velocity to can avoid accident's emergence effectively, improve the security of treadmill, and judge user's position in advance based on the face image, the mode of controlling the treadmill rotational speed more is applicable to user's scene of in-service use again, and the accuracy is higher.
For a better understanding and implementation, the technical solutions of the present application are described in detail below with reference to the accompanying drawings.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for controlling the safety of a treadmill according to an embodiment of the present application;
FIG. 2 is a schematic structural view of a treadmill according to one embodiment of the present application;
fig. 3 is a schematic flowchart of S102 in a safety control method of a treadmill according to an embodiment of the present application;
fig. 4 is a schematic flowchart of S102 in a safety control method of a treadmill according to another embodiment of the present application;
FIG. 5 is a schematic flow chart illustrating a method for controlling the safety of a treadmill according to another embodiment of the present application;
FIG. 6 is a schematic flow chart illustrating a method for controlling the safety of a treadmill according to another embodiment of the present application;
fig. 7 is a schematic structural diagram of a control device of a treadmill according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if/if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
Referring to fig. 1, a flow chart of a safety control method of a treadmill according to an embodiment of the present application is schematically shown, the method includes the following steps:
s101: acquiring a face image shot by a first camera device; wherein, the first camera device is arranged at the upper end of the front side of the body of the running machine.
In an optional embodiment, the main body of the safety control method of the treadmill may be the treadmill, or may be a component in the treadmill, such as: a control device, a processor or a microprocessor and the like inside the treadmill; in another optional embodiment, the main execution body of the safety control method of the treadmill can be an external device which establishes data connection with the treadmill, and can also be a component in the external device; in other alternative embodiments, the main body of the safety control method of the treadmill can be a server which establishes a data connection with the treadmill.
In the embodiment of the application, the execution subject of the safety control method of the treadmill can be a control device in the treadmill.
The control device acquires the face image shot by the first shooting device.
Wherein, the first camera device is arranged at the upper end of the front side of the body of the running machine. In an alternative embodiment, the first camera device may be a camera device carried by the treadmill; in another alternative embodiment, the first camera device may also be a camera device that is independent of the treadmill.
In this application embodiment, the first camera device is the camera device of treadmill self-carrying, first camera device sets up on the display screen of treadmill, the display screen setting of treadmill is in the upper end of fuselage front side.
The vertical distance between the first shooting device and the running platform plane of the running machine needs to be within a preset first range.
The preset first range is a range enabling the shooting visual angle of the first shooting device to cover the face of the user.
In an alternative embodiment, please refer to fig. 2, which is a schematic structural diagram of a treadmill according to an embodiment of the present application, in fig. 2, an optimal vertical distance between the first camera and a treadmill plane of the treadmill is labeled as 1445mm, and when the vertical distance between the first camera and the treadmill plane of the treadmill is 1445mm, a shooting angle of the first camera can better cover faces of users with different heights.
It should be noted that the optimal vertical distance is not limited, and the vertical distance between the first camera and the treadmill plane of the treadmill can be adjusted reasonably in different use scenes.
In the embodiment of the present application, the first photographing device may be a video photographing device or an image photographing device. The specific model and performance parameters are not limited herein.
If the first shooting device is a video shooting device, the control device needs to acquire the video shot by the first shooting device, and performs framing processing on the video to acquire a face image.
If the first shooting device is an image shooting device, the shooting frequency is preset in the control device in advance, and a face image is obtained based on the shooting frequency.
The face image does not necessarily include a face in the image, but refers to an image for detecting whether a face exists and the proportion of the face in the image.
After the face image is acquired, the face image can be preprocessed, so that the accuracy of the proportion of the face in the subsequently acquired face image is improved. The preprocessing method is not limited herein, and any existing preprocessing method that can improve the definition of a face image, effectively remove noise pixels, or smooth a face edge is within the scope of the present embodiment.
In an alternative embodiment, before the control device performs step S101, the start of the treadmill may be controlled to avoid the situation that the treadmill idles without the user on the treadmill, specifically, the following steps are performed:
when the control device receives a running machine starting instruction, whether a user enters a shooting area of the first camera device needs to be detected; if yes, controlling the running machine to start; if not, controlling the treadmill not to start.
In the embodiment of the application, whether a face appears in the shooting area can be detected through the first camera device, and then the treadmill is controlled to start, otherwise, the treadmill is not started; in other alternative embodiments, a sensing device may be disposed on the treadmill, and the sensing device detects whether an object obstructing the sensing signal exists in the shooting area, and controls the treadmill to start again if the object exists, otherwise the treadmill does not start.
S102: and controlling the rotation speed of the running machine according to the proportion of the human face in the human face image and the positive correlation between the preset proportion of the human face and the rotation speed of the running machine.
The proportion of the face in the face image can reflect the distance between the treadmill user and the first camera device, and also can reflect the position of the treadmill user on the running platform, and the higher the proportion of the face is, the closer the distance between the user and the first camera device is, that is to say, the more forward the position of the user on the running platform is.
Usually, the user can improve the security of the process of running if the position on the running platform is relatively centered, therefore, the position of the user on the running platform is pre-estimated according to the face proportion in the face image, the rotating speed of the treadmill is further controlled, and the position of the user on the running platform is indirectly adjusted.
Specifically, a positive correlation between the proportion of the human face and the rotating speed of the treadmill is preset in the control device, and the rotating speed of the treadmill is controlled according to the proportion of the human face in the human face image and the positive correlation, so that the position of a user on the running platform is indirectly adjusted.
In the embodiment of the application, set up first camera device in the upper end of the fuselage front side of treadmill, acquire the face image that first camera device shot, through the proportion of the face in the face image and the positive correlation between the proportion of the face of predetermineeing and the treadmill rotational speed, realize the real-time control to treadmill slew velocity to can avoid accident's emergence effectively, improve the security of treadmill, and judge user's position in advance based on the face image, the mode of controlling the treadmill rotational speed more is applicable to user's scene of in-service use again, and the accuracy is higher.
In an alternative embodiment, referring to fig. 3, step S102 includes steps S1021 to S1023, which are as follows:
s1021: and controlling the running machine to rotate at a higher speed when the proportion of the human face in the human face image is higher.
When the proportion of the human face in the human face image is higher, the position of the user on the running platform is more forward, so that the running machine needs to be controlled to increase the rotating speed to drive the runner to move backwards.
S1022: and controlling the running machine to rotate at a lower speed when the proportion of the face in the face image is lower.
When the proportion of the human face in the human face image is lower, the position of the user on the running platform is more backward, so that the running machine needs to be controlled to reduce the rotating speed to drive the runner to move forward.
S1023: and when the proportion of the face in the face image is lower than a first threshold value, controlling the running machine to stop rotating.
When the proportion of the human face in the human face image is lower than a first threshold value, an accident situation may occur, and at the moment, the treadmill needs to be controlled to stop rotating, so that secondary damage is avoided.
The first threshold value may be set to be appropriate according to the age and physical condition of the user, and is not limited herein.
In the embodiment, the running machine can be controlled to rotate at a higher speed when the proportion of the human face is higher, the running machine can be controlled to rotate at a lower speed when the proportion of the human face is lower, and the running machine can be controlled to stop rotating when the proportion of the human face in the human face image is lower than a first threshold value, so that the safety of the running machine is ensured to the maximum extent.
In another alternative embodiment, referring to fig. 4, in order to be more suitable for an actual application scenario and avoid that the adjustment frequency of the rotation speed is too high to affect the user experience, step S102 includes steps S1024 to S1026, which are specifically as follows:
s1024: and acquiring a target proportion interval in which the proportion of the face in the face image is positioned.
In the embodiment of the application, a plurality of proportional intervals are preset in the control device.
The division of the plurality of proportion intervals is carried out based on experimental data, in the experimental process, a plurality of runners respectively move on the running machine, the proportion of the face in the face image corresponding to the runner is obtained, the actual position of the runner on the running platform is obtained, and then different proportion intervals are reasonably divided.
In an alternative embodiment, four proportional intervals may be divided, namely, a first proportional interval, a second proportional interval, a third proportional interval and a fourth proportional interval.
The proportion of the face in the face image in the first proportion interval is large, the position of a corresponding runner on the running platform is close to the front, the proportion of the face in the face image in the second proportion interval is moderate, the position of the corresponding runner on the running platform is relatively centered, the proportion of the face in the face image in the third proportion interval is small, the position of the corresponding runner on the running platform is close to the rear, the proportion of the face in the face image in the fourth proportion interval is too small, and accidents of the corresponding runner on the running platform can occur.
The control device acquires a target proportion interval in which the proportion of the face in the face image is located according to the proportion of the face in the face image and a plurality of preset proportion intervals.
S1025: and acquiring the target rotating speed according to the target proportion interval and the corresponding relation between the preset proportion interval and the plurality of levels of rotating speeds.
The control device is internally preset with the corresponding relation between the proportional interval and the plurality of levels of rotating speeds, different proportional intervals correspond to different levels of rotating speeds, and when the proportion of the face in the acquired face image floats in one proportional interval, the control device can control the treadmill to keep the corresponding rotating speed unchanged, so that the phenomenon that the rotating speed is too high in adjusting frequency can be avoided, and the use feeling of a user is improved.
In the embodiment of the present application, the control device can obtain the target rotation speed according to the target proportion interval and the corresponding relationship between the preset proportion interval and the plurality of levels of rotation speeds.
S1026: controlling the running machine to rotate at the target rotating speed.
The control device controls the running machine to rotate at the target rotating speed.
In an optional embodiment, the control device controls the treadmill to rotate at the target rotation speed when the proportion of the face in the face image is greater than a preset time threshold in the duration of the target proportion interval.
And judging the duration time of the face proportion in the face image in the target proportion interval, wherein the duration time of the face proportion in the face image in the target proportion interval is further prolonged, so that the safety of the treadmill is further improved.
In another embodiment, referring to fig. 5, after step S101 and before step S102 are performed, in order to obtain the proportion of the face in the face image, the method includes steps S103 to S104, which are as follows:
s103: and inputting the face image into a preset face recognition model, and acquiring pixel points of a face area in the face image.
The preset face recognition model is a trained face recognition model. The training process of the face recognition model can be carried out in the control device or in external equipment.
Specifically, a training set is obtained firstly, the training set comprises a plurality of face images marked with face regions, then the training set is input into an initialized face recognition model to recognize the face regions, recognition errors are obtained according to recognition results and marked accurate results, the face recognition model is reversely trained based on the recognition errors, model parameters are adjusted, and finally when a convergence condition is met, training of the face recognition model is completed.
In an alternative embodiment, the face recognition model may be a deep neural network based face recognition model.
In the embodiment of the application, the trained face recognition model is stored in the control device in advance, and the control device inputs the face image into the preset face recognition model to obtain the pixel points of the face region in the face image. In other optional embodiments, the trained face recognition model may also be stored in a server that is in data connection with the control device in advance, the control device sends the face image to the server, the server inputs the face image into a preset face recognition model, and pixels in a face region in the face image are acquired and sent to the control device.
S104: and acquiring the proportion of the face in the face image according to the ratio of the number of the pixel points in the face region to the total number of the pixel points in the face image.
And the control device acquires the proportion of the face in the face image according to the ratio of the number of the pixel points in the face area to the total number of the pixel points in the face image.
In other embodiments, to further improve the safety of the treadmill, please refer to fig. 6, which further includes steps S105 to S106, specifically as follows:
s105: acquiring a running platform area image shot by a second camera device; wherein, the second camera device is arranged at the lower end of the front side of the body of the running machine.
The second camera device is arranged at the lower end of the front side of the body of the running machine. The second camera device may be a camera device carried by the treadmill, or may be a camera device independent of the treadmill.
In the embodiment of the application, the second camera device is a camera device carried by the treadmill, and the second camera device is arranged on a supporting device at the front side of the body of the treadmill.
The vertical distance between the first shooting device and the running platform plane of the running machine is required to be within a preset second range.
The preset second range is a range enabling the shooting visual angle of the second shooting device to cover the running area.
In an alternative embodiment, referring to fig. 2, an optimal vertical distance of the second camera from the running platform plane of the treadmill is indicated in fig. 2 as 290mm, and when the vertical distance of the second camera from the running platform plane of the treadmill is 290mm, the shooting angle of the second camera can better cover the running platform area.
It should be noted that the optimal vertical distance is not limited, and the vertical distance between the second camera and the running platform plane of the treadmill can be adjusted reasonably in different use scenes.
S106: and controlling the running machine to stop rotating when the abnormal object is identified from the running platform area image.
If the control device identifies that the abnormal object exists in the treadmill area image, the control device controls the treadmill to stop rotating, and therefore injury is effectively avoided.
Specifically, the control apparatus identifies whether or not an abnormal object exists in the running area image as follows:
and the control device inputs the running area image into a preset abnormal object recognition model and confirms whether an abnormal object exists in the running area image or not.
The preset abnormal object recognition model is a trained abnormal object recognition model. The training process of the abnormal object recognition model may be performed in the control device or in an external device, and is not limited herein.
Specifically, a training set is obtained first, the training set for training the abnormal object recognition model is an image in which objects such as children, toys and pets are marked, the training set is input into the initialized abnormal object recognition model, the abnormal object is recognized, a recognition error is obtained according to a recognition result and a marked accurate result, the abnormal object recognition model is reversely trained based on the recognition error, model parameters are adjusted, and finally when a convergence condition is met, training of the abnormal object model is completed.
In an alternative embodiment, the abnormal object model may be a deep neural network-based abnormal object model.
In the embodiment of the application, the trained abnormal object recognition model is stored in the control device in advance, and the control device inputs the running area image into the preset abnormal object recognition model to confirm whether the abnormal object exists in the running area image. In other optional embodiments, the trained abnormal object recognition model may also be pre-stored in a server that has established data connection with the control device, the control device sends the running area image to the server, the server inputs the running area image into a preset abnormal object recognition model, confirms whether an abnormal object exists in the running area image, and then sends a confirmation result to the control device.
In this embodiment, through the lower extreme of the fuselage front side of treadmill sets up second camera device, shoots through second camera device and runs the regional image of platform to can carry out real time monitoring to running the platform region, when the unusual object appears in running the platform region, control rapidly treadmill stall, the emergence of injury is avoided to very big degree ground.
Referring to fig. 2 and 7, fig. 2 is a schematic structural diagram of a treadmill according to an embodiment of the present application, and fig. 7 is a schematic structural diagram of a control device of a treadmill according to an embodiment of the present application.
The running machine 2 includes a body 21, a running board 22 provided on the body, a first camera 23 provided at an upper end of a front side of the body, and a control device 100 (not shown in fig. 2) establishing data connection with the first camera.
In an alternative embodiment, treadmill 2 further includes a second camera 24 disposed at a lower end of the front side of the body.
The control device 100 includes: a processor 1001, a memory 1002 and a computer program 1003 stored in said memory 1002 and executable on said processor 1001, such as: a safety control program of the treadmill; the processor 1001, when executing the computer program 1003, implements the steps in the above-described method embodiments, for example, steps S101 to S102 shown in fig. 1.
The processor 1001 may include one or more processing cores. Processor 1001 connects various portions within treadmill 2 using various interfaces and lines to perform various functions of treadmill 2 and process data by executing or executing instructions, programs, code sets, or instruction sets stored within memory 141 and calling data within memory 1002, and optionally, processor 1001 may be implemented in at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), Programmable Logic Array (PLA). The processor 1001 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing contents required to be displayed by the touch display screen; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 1001, but may be implemented by a single chip.
The Memory 1002 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 1002 includes a non-transitory computer-readable medium. The memory 1002 may be used to store instructions, programs, code sets, or instruction sets. The memory 1002 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch instructions, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 1002 may optionally be at least one memory device located remotely from the processor 1001.
In the embodiment of the application, the upper end of the fuselage front side of treadmill sets up first camera device, through the face image that acquires first camera device and shoot, based on the proportion of the face in the face image and the positive correlation between the proportion of the face of predetermineeing and the treadmill rotational speed, can realize the real time control to treadmill slew velocity to can avoid accident's emergence effectively, improve the security of treadmill, and judge user's position in advance based on the face image, the mode of the treadmill rotational speed of readjust is more applicable to user's scene of in-service use, and the accuracy is higher.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
The present invention is not limited to the above-described embodiments, and various modifications and variations of the present invention are intended to be included within the scope of the claims and the equivalent technology of the present invention if they do not depart from the spirit and scope of the present invention.
Claims (10)
1. A safety control method of a treadmill is characterized by comprising the following steps:
acquiring a face image shot by a first camera device; the first camera device is arranged at the upper end of the front side of the body of the running machine;
and controlling the rotation speed of the running machine according to the proportion of the human face in the human face image and the positive correlation between the preset proportion of the human face and the rotation speed of the running machine.
2. The method for safely controlling a treadmill according to claim 1, wherein after said step of obtaining a human face image captured by a first camera, comprising the steps of:
inputting the face image into a preset face recognition model, and acquiring pixel points of a face area in the face image;
and acquiring the proportion of the face in the face image according to the ratio of the number of the pixel points in the face region to the total number of the pixel points in the face image.
3. The safety control method of a treadmill according to claim 1, wherein the step of controlling the rotation speed of the treadmill according to the proportion of the human face in the human face image and the positive correlation between the preset proportion of the human face and the treadmill rotation speed comprises the steps of:
when the proportion of the human face in the human face image is higher, controlling the running machine to rotate at a higher speed;
and controlling the running machine to rotate at a lower speed when the proportion of the face in the face image is lower.
4. The safety control method of a treadmill of claim 1, wherein the step of controlling the rotation speed of the treadmill according to the ratio of the human face in the human face image and the positive correlation between the preset ratio of the human face and the treadmill rotation speed further comprises the steps of:
and when the proportion of the face in the face image is lower than a first threshold value, controlling the running machine to stop rotating.
5. The safety control method of a treadmill according to claim 1, wherein the step of controlling the rotation speed of the treadmill according to the proportion of the human face in the human face image and the positive correlation between the preset proportion of the human face and the treadmill rotation speed comprises the steps of:
acquiring a target proportion interval in which the proportion of the face in the face image is located;
acquiring a target rotating speed according to the target proportion interval and the corresponding relation between a preset proportion interval and a plurality of levels of rotating speeds;
controlling the running machine to rotate at the target rotating speed.
6. The method of claim 5, wherein the step of obtaining a target level rotational speed and controlling the treadmill to rotate at the target rotational speed comprises the steps of:
and when the duration of the face proportion in the face image in the target proportion interval is greater than a preset time threshold, controlling the running machine to rotate at the target rotation speed.
7. The safety control method of a treadmill according to claim 1, further comprising, before acquiring the image of the human face captured by the first camera, the steps of:
when a running machine starting instruction is received, detecting whether a user enters a shooting area of the first camera device; if yes, controlling the running machine to start; if not, controlling the treadmill not to start.
8. The safety control method of a treadmill of claim 1, further comprising the steps of:
acquiring a running platform area image shot by a second camera device; the second camera device is arranged at the lower end of the front side of the body of the running machine;
and controlling the running machine to stop rotating when the abnormal object is identified from the running platform area image.
9. The safety control method of a treadmill according to claim 8, after acquiring the running zone image captured by the second camera, comprising the steps of:
and inputting the running area image into a preset abnormal object recognition model, and confirming whether an abnormal object exists in the running area image.
10. A treadmill, comprising: a body, a treadmill arranged on the body, a first camera arranged at the upper end of the front side of the body, and a control device for establishing a data connection with the first camera, the control device comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method as claimed in claims 1 to 9 when executing the computer program.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115145984A (en) * | 2022-09-02 | 2022-10-04 | 山东布莱特威健身器材有限公司 | Fault monitoring system and method for fitness equipment |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2168698A1 (en) * | 1995-09-29 | 1997-03-30 | Nicholas Sol | Method and apparatus for biomechanical correction of gait and posture |
| CN103623540A (en) * | 2012-08-23 | 2014-03-12 | 青岛联合创新技术服务平台有限公司 | Somatic sense speed control running machine and control method thereof |
| CN105999625A (en) * | 2016-07-20 | 2016-10-12 | 黄明 | Treadmill speed adaptive regulation device and method |
| WO2017047527A1 (en) * | 2015-09-15 | 2017-03-23 | コニカミノルタ株式会社 | Fitness device and fitness system |
| US20170209734A1 (en) * | 2016-01-22 | 2017-07-27 | Dyaco International Inc. | Exercise device |
| CN107029383A (en) * | 2016-02-04 | 2017-08-11 | 原相科技股份有限公司 | Treadmill and runway control method thereof |
| CN107239750A (en) * | 2017-05-22 | 2017-10-10 | 北京小米移动软件有限公司 | Move based reminding method and device |
| CN108175995A (en) * | 2017-12-28 | 2018-06-19 | 必革发明（深圳）科技有限公司 | Treadmill safety monitoring method, device and treadmill |
-
2020
- 2020-11-27 CN CN202011356023.8A patent/CN114558279A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2168698A1 (en) * | 1995-09-29 | 1997-03-30 | Nicholas Sol | Method and apparatus for biomechanical correction of gait and posture |
| CN103623540A (en) * | 2012-08-23 | 2014-03-12 | 青岛联合创新技术服务平台有限公司 | Somatic sense speed control running machine and control method thereof |
| WO2017047527A1 (en) * | 2015-09-15 | 2017-03-23 | コニカミノルタ株式会社 | Fitness device and fitness system |
| US20170209734A1 (en) * | 2016-01-22 | 2017-07-27 | Dyaco International Inc. | Exercise device |
| CN107029383A (en) * | 2016-02-04 | 2017-08-11 | 原相科技股份有限公司 | Treadmill and runway control method thereof |
| CN105999625A (en) * | 2016-07-20 | 2016-10-12 | 黄明 | Treadmill speed adaptive regulation device and method |
| CN107239750A (en) * | 2017-05-22 | 2017-10-10 | 北京小米移动软件有限公司 | Move based reminding method and device |
| CN108175995A (en) * | 2017-12-28 | 2018-06-19 | 必革发明（深圳）科技有限公司 | Treadmill safety monitoring method, device and treadmill |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115145984A (en) * | 2022-09-02 | 2022-10-04 | 山东布莱特威健身器材有限公司 | Fault monitoring system and method for fitness equipment |
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