CN110889322A - Method for preventing sedentary sitting and related product - Google Patents
Method for preventing sedentary sitting and related product Download PDFInfo
- Publication number
- CN110889322A CN110889322A CN201910955034.9A CN201910955034A CN110889322A CN 110889322 A CN110889322 A CN 110889322A CN 201910955034 A CN201910955034 A CN 201910955034A CN 110889322 A CN110889322 A CN 110889322A
- Authority
- CN
- China
- Prior art keywords
- picture
- top box
- gesture
- identity
- determines
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 46
- 230000000276 sedentary effect Effects 0.000 title claims abstract description 9
- 238000012545 processing Methods 0.000 claims description 22
- 238000004891 communication Methods 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000000605 extraction Methods 0.000 claims description 9
- 210000002364 input neuron Anatomy 0.000 claims description 8
- 230000004044 response Effects 0.000 claims description 7
- 238000004422 calculation algorithm Methods 0.000 claims description 6
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 230000036541 health Effects 0.000 abstract description 9
- 230000008901 benefit Effects 0.000 abstract description 2
- 230000036544 posture Effects 0.000 description 28
- 230000015654 memory Effects 0.000 description 14
- 238000010586 diagram Methods 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 208000008035 Back Pain Diseases 0.000 description 1
- 206010050296 Intervertebral disc protrusion Diseases 0.000 description 1
- 206010028391 Musculoskeletal Pain Diseases 0.000 description 1
- 208000008589 Obesity Diseases 0.000 description 1
- 208000007613 Shoulder Pain Diseases 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- AMGQUBHHOARCQH-UHFFFAOYSA-N indium;oxotin Chemical compound [In].[Sn]=O AMGQUBHHOARCQH-UHFFFAOYSA-N 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 230000003387 muscular Effects 0.000 description 1
- 235000020824 obesity Nutrition 0.000 description 1
- 230000002040 relaxant effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
Abstract
The present disclosure provides a method for preventing sedentary and related products, the method is applied to a set-top box, the method comprises the following steps: the set top box periodically acquires a first picture and a second picture of a target object; the set top box identifies and determines a first gesture of the first picture for the first picture, and identifies and determines a second gesture of the second picture for the second picture; and when the set top box determines that the first posture is consistent with the second posture, calculating the time difference between the second picture and the second picture, and if the time difference is larger than a time threshold, sending a motion prompt message. The technical scheme provided by the application has the advantage of improving the health of the user.
Description
Technical Field
The invention relates to the technical field of networks, in particular to a method for preventing sedentariness and a related product.
Background
In daily life, when people carry out some leisure entertainment projects with relatives of friends at home or in entertainment places, such as mahjong playing, poker playing or other game entertainment projects, people can sit for a long time, and the sitting is not good for the health of people, so that muscular and skeletal tension and fatigue are easily caused, symptoms such as shoulder and back pain and lumbar disc herniation are easily caused, the physical flexibility and muscle quality are increasingly poor, and the problems such as obesity are easily caused. The existing scheme is not beneficial to the health of users.
Disclosure of Invention
The embodiment of the invention provides a method for preventing sedentariness and a related product, which can remind a user of sedentariness and have the advantage of improving the health of the user.
In a first aspect, an embodiment of the present invention provides a method for preventing sedentariness, where the method is applied to a set top box, and the method includes the following steps:
the set top box periodically acquires a first picture and a second picture of a target object;
the set top box identifies and determines a first gesture of the first picture for the first picture, and identifies and determines a second gesture of the second picture for the second picture;
and when the set top box determines that the first posture is consistent with the second posture, calculating the time difference between the second picture and the second picture, and if the time difference is larger than a time threshold, sending a motion prompt message.
Optionally, the identifying, by the set top box, the first gesture of the first picture includes:
the set top box performs feature extraction operation on the first picture to obtain a first feature region of the first picture, compares the first feature region with the gesture list to determine a first template identical to the first feature region, and determines that the gesture corresponding to the first template is the first gesture.
Optionally, the method further includes:
the set top box sends a connection establishment request, receives a connection establishment response returned by other equipment, establishes connection of the other equipment, identifies the identification of the other equipment to determine whether the fitness equipment exists, if so, sends a starting control command to the fitness equipment through the connection, and the starting control command is used for controlling the starting of the fitness equipment.
Optionally, the method further includes:
the set top box identifies and determines a first identity of the first picture for the first picture, identifies and determines a second identity of the second picture for the second picture, and sends a motion prompt message if the first identity is the same as the second identity.
Optionally, the identifying and determining the first identity of the first picture specifically includes:
the method comprises the steps of extracting features of a first picture to obtain N features, comparing the N features with N set thresholds respectively to obtain M features larger than the set thresholds and W feature values smaller than the set thresholds, wherein N is M + W, inputting the M features serving as M input neurons into a face recognition algorithm based on a neural network to perform calculation to obtain a calculation result, disconnecting calculation links of the W input neurons corresponding to the W feature values, and obtaining a first identity of face recognition according to the calculation result.
In a second aspect, there is provided an apparatus for preventing sedentary behavior, the apparatus being applied to a set-top box, the apparatus comprising:
the acquisition unit is used for periodically acquiring a first picture and a second picture of a target object;
the processing unit is used for identifying and determining a first gesture of the first picture for the first picture and identifying and determining a second gesture of the second picture for the second picture; and when the first posture is determined to be consistent with the second posture, calculating the time difference between the second picture and the second picture, and if the time difference is larger than a time threshold value, sending a motion prompting message.
Optionally, the processing unit is specifically configured to perform a feature extraction operation on the first picture to obtain a first feature region of the first picture, compare the first feature region with the gesture list, determine a first template that is the same as the first feature region, and determine that a gesture corresponding to the first template is the first gesture.
Optionally, the processing unit is further configured to control the communication unit to send a connection establishment request, receive a connection establishment response returned by another device, establish a connection with the other device, identify an identifier of the other device to determine whether the exercise device is available, for example, the exercise device is available, and send a start control command to the exercise device through the connection, where the start control command is used to control start of the exercise device.
Optionally, the processing unit is further configured to identify and determine a first identity of the first picture for the first picture, identify and determine a second identity of the second picture for the second picture, and send the motion-prompting message if the first identity is the same as the second identity.
In a third aspect, a computer-readable storage medium is provided, which stores a program for electronic data exchange, wherein the program causes a terminal to execute the method provided in the first aspect.
The embodiment of the invention has the following beneficial effects:
the technical scheme provided by the application periodically collects a first picture and a second picture; the set top box identifies and determines a first gesture of the first picture for the first picture, and identifies and determines a second gesture of the second picture for the second picture; when the set top box determines that the first posture is consistent with the second posture, the time difference between the second picture and the second picture is calculated, and if the time difference is larger than a time threshold value, a motion prompt message is sent, so that the situation that the target object is in one posture, such as sedentariness, is avoided, the user is reminded to move, and the health of the user is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a set-top box.
FIG. 2 is a schematic flow diagram of a method of preventing sedentary activity.
FIG. 3 is a flow diagram of a method of preventing sedentary activity.
Fig. 4 is a schematic structural diagram of the device for preventing sedentariness provided by the application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of the invention and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a set-top box disclosed in an embodiment of the present application, the set-top box 100 includes a storage and processing circuit 110, and a sensor 170 connected to the storage and processing circuit 110, the sensor 170 includes a front camera and a rear camera, where:
the set top box 100 may include control circuitry that may include storage and processing circuitry 110. The storage and processing circuitry 110 may be a memory, such as a hard drive memory, a non-volatile memory (e.g., flash memory or other electronically programmable read-only memory used to form a solid state drive, etc.), a volatile memory (e.g., static or dynamic random access memory, etc.), etc., and the embodiments of the present application are not limited thereto. The processing circuitry in storage and processing circuitry 110 may be used to control the operation of set top box 100. The processing circuitry may be implemented based on one or more microprocessors, microcontrollers, digital signal processors, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, and the like.
The storage and processing circuitry 110 may be used to run software in the set-top box 100 such as an Internet browsing application, a Voice Over Internet Protocol (VOIP) telephone call application, an email application, a media playing application, operating system functions, etc. Such software may be used to perform control operations such as camera-based image capture, ambient light measurement based on an ambient light sensor, proximity sensor measurement based on a proximity sensor, information display functionality based on status indicators such as status indicator lights of light emitting diodes, touch event detection based on touch sensors, functionality associated with displaying information on multiple (e.g., layered) display screens, operations associated with performing wireless communication functionality, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in set top box 100, to name a few, embodiments of the present application are not limited.
The set-top box 100 may include input-output circuitry 150. The input-output circuit 150 may be used to enable the set-top box 100 to input and output data, i.e., to allow the set-top box 100 to receive data from external devices and also to allow the set-top box 100 to output data from the set-top box 100 to external devices. The input-output circuit 150 may further include a sensor 170. The sensor 170 may further include an ambient light sensor, a proximity sensor based on light and capacitance, a fingerprint recognition module, a touch sensor (e.g., a touch sensor based on light and/or a capacitive touch sensor, where the touch sensor may be a part of a touch display screen or may be used independently as a touch sensor structure), an acceleration sensor, a camera, and other sensors.
Input-output circuit 150 may also include one or more display screens, and when multiple display screens, such as 2 display screens, one display screen may be disposed on the front of the set-top box and another display screen may be disposed on the back of the set-top box, such as display screen 130. The display 130 may include one or a combination of liquid crystal display, organic light emitting diode display, electronic ink display, plasma display, display using other display technologies. The display screen 130 may include an array of touch sensors (i.e., the display screen 130 may be a touch display screen). The touch sensor may be a capacitive touch sensor formed by a transparent touch sensor electrode (e.g., an Indium Tin Oxide (ITO) electrode) array, or may be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, and the like, and the embodiments of the present application are not limited thereto.
The set top box 100 may also include an audio component 140. The audio component 140 may be used to provide audio input and output functionality for the set top box 100. The audio components 140 in the set top box 100 may include speakers, microphones, buzzers, tone generators, and other components for generating and detecting sound.
The communication circuit 120 may be used to provide the set top box 100 with the ability to communicate with external devices. The communication circuit 120 may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals. The wireless communication circuitry in communication circuitry 120 may include radio-frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless Communication circuitry in Communication circuitry 120 may include circuitry to support Near Field Communication (NFC) by transmitting and receiving Near Field coupled electromagnetic signals. For example, the communication circuit 120 may include a near field communication antenna and a near field communication transceiver. The communications circuitry 120 may also include a cellular telephone transceiver and antenna, a wireless local area network transceiver circuitry and antenna, and so forth.
The set-top box 100 may further include a battery, power management circuitry and other input-output units 160. The input-output unit 160 may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes and other status indicators, and the like.
A user may control the operation of set-top box 100 by entering commands through input-output circuitry 150 and may use output data from input-output circuitry 150 to enable receiving status information and other outputs from set-top box 100.
The set-top box described in the above fig. 1 may be used to implement the following functions:
the set top box periodically acquires a first picture and a second picture of a target object;
the set top box identifies and determines a first gesture of the first picture for the first picture, and identifies and determines a second gesture of the second picture for the second picture;
and when the set top box determines that the first posture is consistent with the second posture, calculating the time difference between the second picture and the second picture, and if the time difference is larger than a time threshold, sending a motion prompt message.
Optionally, the identifying, by the set top box, the first gesture of the first picture includes:
the set top box performs feature extraction operation on the first picture to obtain a first feature region of the first picture, compares the first feature region with the gesture list to determine a first template identical to the first feature region, and determines that the gesture corresponding to the first template is the first gesture.
Optionally, the method further includes:
the set top box sends a connection establishment request, receives a connection establishment response returned by other equipment, establishes connection of the other equipment, identifies the identification of the other equipment to determine whether the fitness equipment exists, if so, sends a starting control command to the fitness equipment through the connection, and the starting control command is used for controlling the starting of the fitness equipment.
Optionally, the method further includes:
the set top box identifies and determines a first identity of the first picture for the first picture, identifies and determines a second identity of the second picture for the second picture, and sends a motion prompt message if the first identity is the same as the second identity.
Optionally, the identifying and determining the first identity of the first picture specifically includes:
the method comprises the steps of extracting features of a first picture to obtain N features, comparing the N features with N set thresholds respectively to obtain M features larger than the set thresholds and W feature values smaller than the set thresholds, wherein N is M + W, inputting the M features serving as M input neurons into a face recognition algorithm based on a neural network to perform calculation to obtain a calculation result, disconnecting calculation links of the W input neurons corresponding to the W feature values, and obtaining a first identity of face recognition according to the calculation result.
Referring to fig. 2, fig. 2 provides a method for preventing sedentariness, which is performed by the set-top box shown in fig. 1, and which is shown in fig. 2, comprising the steps of:
step S201, a set top box periodically collects a first picture and a second picture of a target object;
step S202, the set top box identifies and determines a first gesture of a first picture for the first picture, and identifies and determines a second gesture of a second picture for the second picture;
the implementation method of the step S202 may specifically include:
the set top box performs feature extraction operation on the first picture to obtain a first feature region of the first picture, compares the first feature region with the gesture list to determine a first template identical to the first feature region, and determines that the gesture corresponding to the first template is the first gesture. For the determination of the second posture, reference may also be made to the manner of determination of the first posture.
Step S203, when the set-top box determines that the first posture is consistent with the second posture, calculating a time difference between the second picture and the second picture, and if the time difference is greater than a time threshold, sending a motion prompt message.
The technical scheme provided by the application periodically collects a first picture and a second picture; the set top box identifies and determines a first gesture of the first picture for the first picture, and identifies and determines a second gesture of the second picture for the second picture; when the set top box determines that the first posture is consistent with the second posture, the time difference between the second picture and the second picture is calculated, and if the time difference is larger than a time threshold value, a motion prompt message is sent, so that the situation that the target object is in one posture, such as sedentariness, is avoided, the user is reminded to move, and the health of the user is improved.
Optionally, the method may further include:
the set top box sends a connection establishment request, receives a connection establishment response returned by other equipment, establishes connection of the other equipment, identifies the identification of the other equipment to determine whether the fitness equipment exists, if so, sends a starting control command to the fitness equipment through the connection, and the starting control command is used for controlling the starting of the fitness equipment.
By the technical scheme, the exercise equipment can be controlled, and the user experience is improved.
Optionally, the above technical solution may further include:
the set top box identifies and determines a first identity of the first picture for the first picture, identifies and determines a second identity of the second picture for the second picture, and sends a motion prompt message if the first identity is the same as the second identity.
The above manner of determining the first identity of the first picture by identifying the first picture may be implemented by a face identification manner, and the face identification manner may specifically include:
and extracting the features of the first picture to obtain N features.
The above feature extraction may be performed in various manners, for example, N features are obtained by extracting features of a face image through a feature face algorithm, and of course, other feature extraction manners may also be used in practical applications, for example, N features are obtained by extracting features of a face image through a local binary pattern algorithm. The value range of N may be an integer greater than or equal to 2, and specifically, the N features include but are not limited to: any combination of eye features, ear features, facial features, contour features, skin tone features, and the like. The present invention is not limited to the N representations.
And comparing the N characteristics with N set thresholds respectively to obtain M characteristics larger than the set thresholds and W characteristic values smaller than the set thresholds, wherein N is M + W.
Inputting the M characteristics as M input neurons into a face recognition algorithm based on a neural network to execute calculation to obtain a calculation result, disconnecting the calculation links of the W input neurons corresponding to the W characteristic values, and obtaining a first identity of face recognition according to the calculation result.
The method for obtaining the second identity by identifying the second picture may refer to the method for obtaining the first identity by the first picture.
Referring to fig. 3, fig. 3 provides a method for preventing sedentariness, which is performed by the set-top box shown in fig. 1, and which is shown in fig. 3, comprising the steps of:
step S301, the television equipment monitors the postures of the users in the area and monitors the sitting posture keeping time of the users.
Specifically, videos or camera shooting is carried out on users in the area regularly, the faces of the users are compared, whether the identities of the users change in the monitoring time is judged, if the identities of the users do not change, whether the sitting postures of the users change is judged again, and the sitting posture keeping time of the users is monitored.
Step S302, if the television equipment monitors that the sitting posture keeping time of the user exceeds the preset limited time, the television equipment sends a starting instruction to the running machine, starts the running machine and reminds the running machine of being started, and the user needs to run and exercise.
If the user does not use the treadmill, the treadmill will not stop rotating, and the television device will always remind until the user uses the treadmill for a set time period, the treadmill will not stop rotating.
Step S303, when the massage device is started, the television device can play a corresponding relaxing video at the same time to guide the user how to better cooperate with the treadmill to relax.
The television apparatus may also play a user's favorite television program to guide the user to pause the entertainment item.
Step S304, if the sitting posture holding time of the user exceeds the maximum time or the time that the user does not use the treadmill exceeds the set time, the television equipment reminds the user that the treadmill is not started any more, and the body health is seriously affected by continuously holding the sitting posture. And meanwhile, a video which causes harm to the health of a user for a long time is played for warning.
The technical scheme provided by the application periodically collects a first picture and a second picture; the set top box identifies and determines a first gesture of the first picture for the first picture, and identifies and determines a second gesture of the second picture for the second picture; when the set top box determines that the first posture is consistent with the second posture, the time difference between the second picture and the second picture is calculated, and if the time difference is larger than a time threshold value, a motion prompt message is sent, so that the situation that the target object is in one posture, such as sedentariness, is avoided, the user is reminded to move, and the health of the user is improved.
Referring to fig. 4, fig. 4 provides a device for preventing sedentary sitting, which is applied to a set-top box, and includes:
the acquisition unit 401 is configured to periodically acquire a first picture and a second picture of a target object;
a processing unit 402, configured to identify a first gesture of determining a first picture for a first picture and a second gesture of determining a second picture for a second picture; and when the first posture is determined to be consistent with the second posture, calculating the time difference between the second picture and the second picture, and if the time difference is larger than a time threshold value, sending a motion prompting message.
Optionally, the processing unit is specifically configured to perform a feature extraction operation on the first picture to obtain a first feature region of the first picture, compare the first feature region with the gesture list, determine a first template that is the same as the first feature region, and determine that a gesture corresponding to the first template is the first gesture.
Optionally, the processing unit is further configured to control the communication unit 403 to send a connection establishment request, receive a connection establishment response returned by another device, establish a connection with the other device, identify an identifier of the other device to determine whether the exercise device is available, for example, the exercise device is available, and send a start control command to the exercise device through the connection, where the start control command is used to control start of the exercise device.
Optionally, the processing unit is further configured to identify and determine a first identity of the first picture for the first picture, identify and determine a second identity of the second picture for the second picture, and send the motion-prompting message if the first identity is the same as the second identity.
Embodiments of the present invention also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods described in the above method embodiments.
Embodiments of the present invention also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods as recited in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules illustrated are not necessarily required to practice the invention.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above embodiments of the present invention are described in detail, and the principle and the implementation of the present invention are explained by applying specific embodiments, and the above description of the embodiments is only used to help understanding the method of the present invention and the core idea thereof; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method for preventing sedentary behavior, wherein the method is applied to a set-top box, and wherein the method comprises the steps of:
the set top box periodically acquires a first picture and a second picture of a target object;
the set top box identifies and determines a first gesture of the first picture for the first picture, and identifies and determines a second gesture of the second picture for the second picture;
and when the set top box determines that the first posture is consistent with the second posture, calculating the time difference between the second picture and the second picture, and if the time difference is larger than a time threshold, sending a motion prompt message.
2. The method of claim 1, wherein the set top box recognizing the first picture to determine the first gesture of the first picture comprises:
the set top box performs feature extraction operation on the first picture to obtain a first feature region of the first picture, compares the first feature region with the gesture list to determine a first template identical to the first feature region, and determines that the gesture corresponding to the first template is the first gesture.
3. The method of claim 1, further comprising:
the set top box sends a connection establishment request, receives a connection establishment response returned by other equipment, establishes connection of the other equipment, identifies the identification of the other equipment to determine whether the fitness equipment exists, if so, sends a starting control command to the fitness equipment through the connection, and the starting control command is used for controlling the starting of the fitness equipment.
4. The method of claim 1, further comprising:
the set top box identifies and determines a first identity of the first picture for the first picture, identifies and determines a second identity of the second picture for the second picture, and sends a motion prompt message if the first identity is the same as the second identity.
5. The method of claim 4, wherein the identifying the first picture to determine the first identity of the first picture comprises:
the method comprises the steps of extracting features of a first picture to obtain N features, comparing the N features with N set thresholds respectively to obtain M features larger than the set thresholds and W feature values smaller than the set thresholds, wherein N is M + W, inputting the M features serving as M input neurons into a face recognition algorithm based on a neural network to perform calculation to obtain a calculation result, disconnecting calculation links of the W input neurons corresponding to the W feature values, and obtaining a first identity of face recognition according to the calculation result.
6. An apparatus for preventing sedentary behavior, the apparatus being applied to a set-top box, the apparatus comprising:
the acquisition unit is used for periodically acquiring a first picture and a second picture of a target object;
the processing unit is used for identifying and determining a first gesture of the first picture for the first picture and identifying and determining a second gesture of the second picture for the second picture; and when the first posture is determined to be consistent with the second posture, calculating the time difference between the second picture and the second picture, and if the time difference is larger than a time threshold value, sending a motion prompting message.
7. The apparatus of claim 6,
the processing unit is specifically configured to perform a feature extraction operation on the first picture to obtain a first feature region of the first picture, compare the first feature region with the gesture list to determine a first template identical to the first feature region, and determine that a gesture corresponding to the first template is the first gesture.
8. The apparatus of claim 6,
the processing unit is further configured to control the communication unit to send a connection establishment request, receive a connection establishment response returned by another device, establish a connection with the other device, identify an identifier of the other device to determine whether the exercise device is available, for example, the exercise device is available, and send a start control command to the exercise device through the connection, where the start control command is used to control start of the exercise device.
9. The apparatus of claim 6,
the processing unit is further configured to identify and determine a first identity of the first picture for the first picture, identify and determine a second identity of the second picture for the second picture, and send a motion prompt message if the first identity and the second identity are the same.
10. A computer-readable storage medium storing a program for electronic data exchange, wherein the program causes a terminal to perform the method as provided in any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910955034.9A CN110889322A (en) | 2019-10-09 | 2019-10-09 | Method for preventing sedentary sitting and related product |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910955034.9A CN110889322A (en) | 2019-10-09 | 2019-10-09 | Method for preventing sedentary sitting and related product |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110889322A true CN110889322A (en) | 2020-03-17 |
Family
ID=69746090
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910955034.9A Pending CN110889322A (en) | 2019-10-09 | 2019-10-09 | Method for preventing sedentary sitting and related product |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110889322A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112748685A (en) * | 2020-12-22 | 2021-05-04 | 中科彭州智慧产业创新中心有限公司 | Desktop fatigue reminding method and system |
| CN113040755A (en) * | 2020-10-28 | 2021-06-29 | 泰州物族信息科技有限公司 | State adjustment platform and method for application network monitoring |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009134600A (en) * | 2007-11-30 | 2009-06-18 | Toshiba Corp | Behavior identification apparatus, behavior identification method and behavior identification program |
| CN204654942U (en) * | 2015-04-01 | 2015-09-23 | 深圳柔微传感科技有限公司 | A kind of intelligent clothing realizing motion Real-Time Monitoring |
| CN105117025A (en) * | 2015-09-28 | 2015-12-02 | 广东欧珀移动通信有限公司 | Regularly reminded method and system and regularly reminded device based on intelligent wearable device |
| CN105989223A (en) * | 2015-02-06 | 2016-10-05 | 联想(北京)有限公司 | Toothbrush and information processing method |
| CN106292565A (en) * | 2015-06-05 | 2017-01-04 | 博西华电器（江苏）有限公司 | The control method of home appliance and control system |
| CN106550101A (en) * | 2015-09-21 | 2017-03-29 | 中兴通讯股份有限公司 | Event-prompting method and device |
| CN107291242A (en) * | 2017-06-30 | 2017-10-24 | 维沃移动通信有限公司 | The control method and intelligent terminal of a kind of intelligent terminal |
| CN107483319A (en) * | 2017-07-31 | 2017-12-15 | 广东欧珀移动通信有限公司 | Message method, device, storage medium, server and electronic equipment |
| CN107729860A (en) * | 2017-10-30 | 2018-02-23 | 广东欧珀移动通信有限公司 | Recognition of face computational methods and Related product |
| CN108040276A (en) * | 2017-11-27 | 2018-05-15 | 信利光电股份有限公司 | A kind of Intelligent television control method and relevant apparatus |
| CN108307110A (en) * | 2018-01-18 | 2018-07-20 | 维沃移动通信有限公司 | A kind of image weakening method and mobile terminal |
| CN108376463A (en) * | 2018-02-28 | 2018-08-07 | 成都信息工程大学 | A kind of sitting intelligent prompt method and system |
| CN108921125A (en) * | 2018-07-18 | 2018-11-30 | 广东小天才科技有限公司 | A kind of sitting posture detecting method and wearable device |
| CN109948435A (en) * | 2019-01-31 | 2019-06-28 | 深圳奥比中光科技有限公司 | Sitting posture prompting method and device |
-
2019
- 2019-10-09 CN CN201910955034.9A patent/CN110889322A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009134600A (en) * | 2007-11-30 | 2009-06-18 | Toshiba Corp | Behavior identification apparatus, behavior identification method and behavior identification program |
| CN105989223A (en) * | 2015-02-06 | 2016-10-05 | 联想(北京)有限公司 | Toothbrush and information processing method |
| CN204654942U (en) * | 2015-04-01 | 2015-09-23 | 深圳柔微传感科技有限公司 | A kind of intelligent clothing realizing motion Real-Time Monitoring |
| CN106292565A (en) * | 2015-06-05 | 2017-01-04 | 博西华电器（江苏）有限公司 | The control method of home appliance and control system |
| CN106550101A (en) * | 2015-09-21 | 2017-03-29 | 中兴通讯股份有限公司 | Event-prompting method and device |
| CN105117025A (en) * | 2015-09-28 | 2015-12-02 | 广东欧珀移动通信有限公司 | Regularly reminded method and system and regularly reminded device based on intelligent wearable device |
| CN107291242A (en) * | 2017-06-30 | 2017-10-24 | 维沃移动通信有限公司 | The control method and intelligent terminal of a kind of intelligent terminal |
| CN107483319A (en) * | 2017-07-31 | 2017-12-15 | 广东欧珀移动通信有限公司 | Message method, device, storage medium, server and electronic equipment |
| CN107729860A (en) * | 2017-10-30 | 2018-02-23 | 广东欧珀移动通信有限公司 | Recognition of face computational methods and Related product |
| CN108040276A (en) * | 2017-11-27 | 2018-05-15 | 信利光电股份有限公司 | A kind of Intelligent television control method and relevant apparatus |
| CN108307110A (en) * | 2018-01-18 | 2018-07-20 | 维沃移动通信有限公司 | A kind of image weakening method and mobile terminal |
| CN108376463A (en) * | 2018-02-28 | 2018-08-07 | 成都信息工程大学 | A kind of sitting intelligent prompt method and system |
| CN108921125A (en) * | 2018-07-18 | 2018-11-30 | 广东小天才科技有限公司 | A kind of sitting posture detecting method and wearable device |
| CN109948435A (en) * | 2019-01-31 | 2019-06-28 | 深圳奥比中光科技有限公司 | Sitting posture prompting method and device |
Non-Patent Citations (2)
| Title |
|---|
| MATHEEN SIDDIQUI: "Human Pose Estimation from a Single View Point，Real-Time Range Sensor", 《2010 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION》 * |
| 林水强等: "姿势序列有限状态机动作识别方法", 《计算机辅助设计与图形学学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113040755A (en) * | 2020-10-28 | 2021-06-29 | 泰州物族信息科技有限公司 | State adjustment platform and method for application network monitoring |
| CN112748685A (en) * | 2020-12-22 | 2021-05-04 | 中科彭州智慧产业创新中心有限公司 | Desktop fatigue reminding method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109583356B (en) | Fingerprint identification method and related product | |
| US9848796B2 (en) | Method and apparatus for controlling media play device | |
| CN110688973B (en) | Equipment control method and related product | |
| CN109144245B (en) | Equipment control method and related product | |
| CN107666583B (en) | Call processing method and terminal | |
| CN110465080A (en) | Control method, apparatus, mobile terminal and the computer readable storage medium of vibration | |
| CN108549802A (en) | A kind of unlocking method, device and mobile terminal based on recognition of face | |
| CN108494030A (en) | A kind of wireless charging method, terminal and transmitting end equipment | |
| CN108491076A (en) | Display control method and related product | |
| CN111387978A (en) | Method, device, equipment and medium for detecting action section of surface electromyogram signal | |
| CN110889322A (en) | Method for preventing sedentary sitting and related product | |
| CN108628644A (en) | A kind of the startup method, apparatus and mobile terminal of application | |
| CN108319833A (en) | A kind of control method and mobile terminal of application program | |
| CN110543231B (en) | Electronic device control method and related equipment | |
| CN107895108B (en) | Operation management method and mobile terminal | |
| CN112084483B (en) | Application locking and unlocking method, device, equipment and storage medium | |
| CN110113486B (en) | Application icon moving method and terminal | |
| JP2012227752A (en) | Display device, display control method, and program | |
| CN110471808A (en) | A kind of pressure buttons detection method, device and mobile terminal | |
| CN110209543A (en) | A kind of detection method and terminal of earphone socket | |
| CN115068941A (en) | Game image quality recommendation method and device, computer equipment and storage medium | |
| CN111614841B (en) | Alarm clock control method and device, storage medium and mobile terminal | |
| CN108339267B (en) | Game menu control method based on brain wave and related product | |
| CN110798740A (en) | Method for sedentary relaxation and related products | |
| CN108347628B (en) | Method for prompting member activation, mobile terminal and server |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200317 |