WO2023124138A1 - 移动终端接触区域检测方法、装置、移动终端和存储介质 - Google Patents

移动终端接触区域检测方法、装置、移动终端和存储介质 Download PDF

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WO2023124138A1
WO2023124138A1 PCT/CN2022/114099 CN2022114099W WO2023124138A1 WO 2023124138 A1 WO2023124138 A1 WO 2023124138A1 CN 2022114099 W CN2022114099 W CN 2022114099W WO 2023124138 A1 WO2023124138 A1 WO 2023124138A1
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Prior art keywords
mobile terminal
acceleration
acceleration data
contact area
touch point
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PCT/CN2022/114099
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English (en)
French (fr)
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魏利鹏
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中兴通讯股份有限公司
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Publication of WO2023124138A1 publication Critical patent/WO2023124138A1/zh

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/22Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/22Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/2205Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/22Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/2205Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested
    • G06F11/2221Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested to test input/output devices or peripheral units
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/0412Digitisers structurally integrated in a display
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/24Arrangements for testing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present application relates to terminal technology, for example, to a method and device for detecting a contact area of a mobile terminal, a mobile terminal and a storage medium.
  • the present application provides a method and device for detecting a contact area of a mobile terminal, a mobile terminal and a storage medium, which can accurately detect a contact area when a user uses a mobile terminal.
  • the embodiment of the present application provides a method for detecting a contact area of a mobile terminal, including:
  • the contact area of the mobile terminal is determined.
  • the embodiment of the present application provides a device for detecting a contact area of a mobile terminal, including:
  • the acceleration acquisition module is configured to acquire the acceleration data detected by the acceleration sensor arranged in the mobile terminal;
  • the processing module is configured to calculate the position of the touch point according to the adjacent acceleration data of the changing direction within the preset time;
  • the contact area determination module is configured to determine the contact area of the mobile terminal according to the position of the touch point and the human palm model.
  • the embodiment of the present application provides a mobile terminal, including:
  • processors one or more processors
  • a storage device configured to store one or more programs
  • At least one acceleration sensor for detecting acceleration data
  • the one or more processors When the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method for detecting a contact area of a mobile terminal in any possible implementation manner of the first aspect.
  • the embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions, and the computer-executable instructions are used for the method for detecting a contact area of a mobile terminal in any possible implementation manner of the first aspect.
  • FIG. 1 is a flow chart of a method for detecting a contact area of a mobile terminal provided by an embodiment of the present application
  • FIG. 2 is a schematic diagram of the principle of calculating the position of the touch point according to the acceleration data
  • FIG. 3 is a flow chart of another method for detecting a contact area of a mobile terminal provided by an embodiment of the present application
  • FIG. 4 is a flow chart of another method for detecting a contact area of a mobile terminal provided by an embodiment of the present application
  • FIG. 5 is a schematic diagram of touch points when holding a terminal with one hand
  • Fig. 6 is another schematic diagram of the principle of calculating the position of the touch point according to the acceleration data
  • FIG. 7 is a schematic diagram of the principle of calculating the position of the touch point held by both hands according to two acceleration data
  • FIG. 8 is a schematic diagram of touch points of a terminal held by both hands.
  • FIG. 9 is a schematic structural diagram of a device for detecting a contact area of a mobile terminal provided by an embodiment of the present application.
  • Fig. 10 is a schematic structural diagram of a mobile terminal provided by an embodiment.
  • words such as “optionally” or “exemplarily” are used as examples, illustrations or illustrations. Any embodiment or design scheme described as “optional” or “exemplary” in the embodiments of the present application shall not be interpreted as being more preferred or more advantageous than other embodiments or design schemes. Rather, the use of words such as “optionally” or “exemplarily” is intended to present related concepts in a concrete manner.
  • Fig. 1 is a flow chart of a method for detecting a contact area of a mobile terminal provided in an embodiment of the present application. As shown in Fig. 1 , the method for detecting a contact area of a mobile terminal provided in this embodiment includes:
  • Step S110 acquiring acceleration data detected by an acceleration sensor disposed in the mobile terminal.
  • the method for detecting a contact area of a mobile terminal is applied to a mobile terminal that can be held and used by a user.
  • a mobile terminal that can be held and used by a user.
  • the functions of mobile terminals are becoming more and more abundant at present, the integration of various devices in the limited space of mobile terminals is getting higher and higher. Although this provides more functions for mobile terminals, it requires the internal Carry out good electromagnetic compatibility design.
  • mobile terminals are held and used by users in most usage scenarios, so the hand holding the mobile terminal will affect the position of each device due to covering the position of each device. Normal work is affected.
  • the current mobile terminals have considered various optimization schemes when each device is affected by the outside world, for example, when it is detected that the position of the main antenna is blocked, it will switch to the secondary antenna, and if the SAR sensor is abnormal, the SAR reduction function will not be activated. If the speaker is blocked, it will switch to the sub-speaker, if the RGB light strip is detected to be blocked, it will switch to the sub-RGB light strip, etc.
  • the speaker is blocked, it will switch to the sub-speaker, if the RGB light strip is detected to be blocked, it will switch to the sub-RGB light strip, etc.
  • the mobile terminal contact area detection method provided in this embodiment by detecting and processing the acceleration data of the mobile terminal, combined with the human palm model, thereby determining the contact area of the mobile terminal, can realize accurate detection of the mobile terminal contact area. On this basis, the working mode of each device in the mobile terminal can be optimized to improve user experience.
  • the method for detecting a contact area of a mobile terminal is applied to a mobile terminal with an acceleration sensor
  • the mobile terminal may be any mobile terminal that can be held by a user, such as a mobile phone or a tablet computer.
  • Acceleration sensors are one of the conventional configurations in mobile terminals at present.
  • the mobile terminal may include at least one acceleration sensor.
  • the acceleration sensor can be any type of acceleration sensor, as long as vector acceleration data with acceleration direction and magnitude can be obtained.
  • the acceleration data detected by the acceleration sensor installed in the mobile terminal is obtained.
  • the acceleration data in the mobile terminal can be obtained periodically, that is, the acceleration data of the mobile terminal is continuously monitored by the acceleration sensor in the mobile terminal.
  • the acceleration data is vector data including the direction and magnitude of the acceleration.
  • the mobile terminal may include one or more acceleration sensors, and the acceleration data detected by the one or more acceleration sensors in the mobile terminal may be acquired.
  • the acceleration data of the mobile terminal can be obtained when the mobile terminal is in working state, or can be obtained regardless of whether the mobile terminal is in working state.
  • Step S120 calculating the position of the touch point according to the adjacent acceleration data of the changing direction within a preset time.
  • the preset time can be a preset time period, the preset time can be any length of time, and can be set according to needs, or the preset time is the time when the user holds the mobile phone in the same posture. Divide the preset time into several time segments, obtain the acceleration data of each time segment, and make a judgment. Each time segment can be a time segment with a predetermined length, or it can be divided according to the change of acceleration data. When the acceleration is changing but the direction is not changed, it is considered to be the same time segment. When the acceleration direction changes Considered to be in the next time period.
  • the position of the touch point is calculated according to the adjacent acceleration data of the changing direction.
  • the position of the touch point is determined according to the tangent of the direction of the adjacent acceleration data in the changing direction. If the direction of the adjacent acceleration data changes, the tangent of the direction of the acceleration data will also intersect. Then the position of the touch point is the intersection point of each tangent. .
  • calculating the position of the touch point may include: dividing the preset time into multiple time periods according to the direction change of the acceleration data within the preset time period, and the direction of the acceleration data in each time period is the same; If the tangents of the directions of the acceleration data in the adjacent time periods intersect, then the intersection of the directions of the acceleration data in the adjacent time periods of the change direction is determined to be the position of the touch point.
  • Figure 2 is a schematic diagram of the principle of calculating the position of a touch point based on acceleration data.
  • the horizontal axis in Figure 2 is time, and a preset time period T is divided into several time segments t1, t2, t3, t4, t5....
  • the user maintains a holding posture to hold the mobile terminal, and divides the time period T into several time segments according to the change of the acceleration direction of the mobile terminal.
  • the user turns or shakes the mobile terminal in the same direction, so the acceleration direction is the same, that is, in each time segment, the direction of the acceleration data detected by the acceleration sensor of the mobile terminal is the same, as in In the time segment t1, the directions of the acceleration data a11, a12, a13, a14, and a15 are the same, but the magnitudes are different.
  • the acceleration is related to the distance from the touch position on the mobile terminal. The farther the distance from the touch position is, the greater the acceleration is, the closer the distance is to the touch position, the smaller the acceleration is, and the acceleration is 0 at the touch position.
  • the magnitude and direction of the detected acceleration data change relative to the time segment t1, but in the time segment In the segment t2, the acceleration direction and magnitude are similar to the law of the time segment t1, and the time segments t3, t4, t5... all have similar characteristics, until the acceleration data a51, a52, a53, a54 in the time segment t5 , a55.
  • the touch position of the user's hand on the mobile terminal remains unchanged, according to the characteristics of acceleration changes, it is found that during the shaking of the mobile terminal, the origin of the user's wrist does not move.
  • the acceleration direction is tangent to the rotation axis direction, that is to say, in different time segments, the acceleration tangent direction will coincide at a point, and this point is the origin, that is, the hand is on the mobile terminal Of course, this point may also be outside the mobile terminal.
  • Step S130 determine the contact area of the mobile terminal according to the position of the touch point and the human palm model.
  • the human palm Since the human palm has a certain area, when the human palm holds the mobile terminal, it will occupy a certain size of contact area on the mobile terminal. Therefore, after determining the position of the touch point, it is also necessary to determine the contact area of the mobile terminal according to the position of the touch point and the human palm model.
  • the human palm model may be a fixed model.
  • the human palm model can also be a model that matches the user using the mobile terminal, and the user can personalize the human palm model in the mobile terminal to set the same shape and size as his own palm.
  • the user's regular posture of holding the mobile terminal is basically a fixed posture.
  • the touch point After determining the position of the touch point and the human palm model, the touch point can be used as a reference to determine the contact area of the user's palm on the mobile terminal. For example, for a smartphone, the user generally holds it with one hand. When the touch point is determined to be located at a certain position on the bottom, middle or upper side of the smartphone, the actual contact area can be determined according to the human palm model.
  • the contact area of the mobile terminal may be determined according to the touch point position, the palm model of the human body, and the holding posture model of the human body.
  • the human body holding posture model is the posture of the user's hand when holding the mobile terminal. The user may use different postures when using the mobile terminal in different situations. When playing games on a horizontal screen of the terminal, the two hands are generally held at the bottom, and when the mobile terminal is used to answer and make calls, it is held with one hand at the rear. Therefore, according to different usage states of the mobile terminal, the corresponding human body holding posture model can be selected, and the contact area of the mobile terminal can be determined in combination with the touch point position and the human palm model.
  • the influence of the contact area on each component of the mobile terminal can be determined, so that the mobile terminal can work normally by adjusting the working status of each component. For example, if it is detected that the hand contact area is a heat dissipation area, the heat can be transferred from the hand contact area to the hand non-contact area; if the hand contact area is detected to block the position of the main antenna, it can be switched to the secondary antenna in the hand non-contact area; If the SAR sensor is blocked by the human hand contact area on the back, the SAR reduction function will not be activated; if the human hand contact area is detected to block the position of the main speaker, it will switch to the auxiliary speaker, so that the sound effect will not be reduced or interrupted; if the human hand contact area is detected to block the RGB light strip , then switch to the secondary RGB light strip, different working modes, different scenes, and different atmospheres can continuously display different colors, making the RGB light strip always bright and colorful, increasing human-computer interaction.
  • the mobile terminal contact area detection method provided in this embodiment first acquires the acceleration data detected by the acceleration sensor installed in the mobile terminal, calculates the position of the touch point according to the adjacent acceleration data in the changing direction within a preset time, and finally calculates the position of the touch point according to the position of the touch point and the human palm model to determine the contact area of the mobile terminal, and realize the accurate detection of the contact area of the mobile terminal, so that the user experience when holding the mobile terminal can be improved by adjusting the working status of each device of the mobile terminal.
  • Fig. 3 is a flow chart of another mobile terminal contact area detection method provided in the embodiment of the present application. As shown in Fig. 3, the mobile terminal contact area detection method provided in this embodiment includes:
  • Step S310 acquiring acceleration data detected by an acceleration sensor disposed in the mobile terminal.
  • step S320 the preset time is divided into multiple time periods according to the direction change of the acceleration data within the preset time period, and the direction of the acceleration data in each time period is the same.
  • Step S330 if the tangents of the acceleration data directions of adjacent time periods intersect within the preset time period, determine the intersection point of the acceleration data directions of adjacent time periods where the direction changes is the position of the touch point.
  • Step S340 determine the contact area of the mobile terminal according to the position of the touch point and the human palm model.
  • Step S350 when the tangents of the directions of the acceleration data of adjacent time periods within the preset time do not intersect, recalculate the position of the touch point according to the adjacent acceleration data of changing directions.
  • the detection of the mobile terminal contact area is realized, and the user may change the holding posture at any time during the use of the mobile terminal, and the change of the holding posture, It may result in a change of the user's contact area on the mobile terminal. Therefore, after the contact area of the mobile terminal is determined, the acceleration data of the mobile terminal is still continuously detected. If it is detected that the tangent lines in the direction of the acceleration data no longer intersect, the touch point position is recalculated according to the adjacent acceleration data of the changing direction. That is to say, when the tangent lines of adjacent acceleration data directions of the mobile terminal no longer intersect, it means that the user's grip position has changed. At this time, it is necessary to reacquire the acceleration data and recalculate the touch point position and contact area accordingly. When recalculating the touch point and contact area, it is necessary to clear all previous data and recalculate.
  • Fig. 4 is a flowchart of another mobile terminal contact area detection method provided in the embodiment of the present application. As shown in Fig. 4, the mobile terminal contact area detection method provided in this embodiment includes:
  • Step S410 acquiring acceleration data detected by at least two acceleration sensors disposed in the mobile terminal, and the at least two acceleration sensors are disposed in different positions of the mobile terminal.
  • Step S420 calculating the resultant acceleration data of the acceleration data detected by at least two acceleration sensors.
  • Step S430 calculating the position of the touch point according to the adjacent resultant acceleration data in the direction of change within a preset time.
  • Step S440 determine the contact area of the mobile terminal according to the position of the touch point and the human palm model.
  • At least two acceleration sensors may be arranged in the mobile terminal, and the at least two acceleration sensors are arranged at different positions of the mobile terminal. Acceleration sensors arranged at different positions can detect different acceleration data. By jointly detecting the acceleration data of the mobile terminal with at least two pieces of acceleration data, the accuracy of detecting the contact area of the mobile terminal can be further improved. Generally, two acceleration sensors can be used to detect acceleration data.
  • each acceleration sensor When the acceleration data is detected by at least two acceleration sensors of the mobile terminal, each acceleration sensor will detect one acceleration data at the same time, then in order to calculate the position of the touch point according to the adjacent acceleration data of the changing direction within the preset time, you can Firstly, the acceleration data detected by at least two acceleration sensors are synthesized into resultant acceleration data, and the resultant acceleration data is composed of at least two acceleration data that are both vector data. If the direction of the adjacent resultant acceleration data changes within the preset time, the position of the touch point is calculated according to the adjacent resultant acceleration data in the changing direction. After the position of the touch point is calculated, the contact area of the mobile terminal is still determined according to the same method as in FIG. 1 and FIG. 3 .
  • the position of the touch point is recalculated based on the adjacent combined acceleration data of the changing direction.
  • the acceleration data detected by the first acceleration sensor of the at least two acceleration sensors at the same time is smaller than the acceleration data detected by the other acceleration sensors, it is determined that the touch point The point position is close to the first acceleration sensor. That is to say, the approximate position of the touch point is first determined according to the data detected by at least two acceleration sensors, and then the specific position of the touch point is specifically determined.
  • FIG. 5 is a schematic diagram of touch points of a terminal held by one hand. As shown in FIG. 5, two acceleration sensors, a first acceleration sensor 52 and a second acceleration sensor 53, are arranged on the mobile terminal 51, and the mobile terminal is roughly divided into areas 54, area 55 and area 56 are three areas.
  • the acceleration value detected by the first acceleration sensor 52 is smaller than the acceleration value detected by the second acceleration sensor 53, it can be preliminarily judged that the human hand is on the left side. Then take two acceleration values in the first acceleration sensor 52 and the second acceleration sensor 53 for calculation, and obtain the position of contact point 1 through calculation, and then determine that the contact area of the human hand is in the left area 54 according to the size of the human palm.
  • the acceleration value detected by the second acceleration sensor 53 is smaller than the acceleration value detected by the first acceleration sensor 52, it can be preliminarily judged that the human hand is on the right side. Then the first acceleration sensor 52 and the second acceleration sensor 53 respectively take two acceleration values for calculation, and the position of the contact point 2 is obtained through calculation, and then according to the size of the human palm, it is determined that the human hand contact area is in the right area 55 .
  • the human hand contact area is in a certain area in the middle. Then take two acceleration values in the first acceleration sensor 52 and the second acceleration sensor 53 to calculate, and obtain the position of the contact point 3 through calculation, and then determine the area 56 in the middle of the human hand contact area according to the size of the human palm.
  • Fig. 6 is another schematic diagram of the principle of calculating the position of a touch point based on acceleration data.
  • two acceleration data sensors are used to detect at the same time as an example.
  • A1xyz is the first acceleration sensor detected at time t1 Acceleration data
  • A2xyz is the acceleration data detected by the second acceleration sensor at time t1.
  • a1x, a1y, and a1z are the components of the instantaneous value of the acceleration data detected by the first acceleration sensor at the moment t1 in the x, y, and z planes
  • a2x, a2y, and a2z are the acceleration data detected by the second acceleration sensor at the moment t1.
  • Tangent 1 is the tangent of the acceleration data A1xyz
  • tangent 2 is the tangent of the acceleration data A2xyz
  • the intersection of the two is the touch point.
  • the first acceleration sensor takes the instantaneous acceleration values a1x, a1y, a1z
  • the first acceleration sensor takes the acceleration Instantaneous values a2x, a2y, a2z. If: a1x>a2x; a1y>a2y; a1z>a2z, it is preliminarily determined that the touch position of the human hand is near the second acceleration sensor. If: a2x>a1x; a2y>a1y; a2z>a1z, it is preliminarily determined that the touch position of the human hand is near the first acceleration sensor.
  • the resultant acceleration is calculated, which is the vector acceleration value, and the position and coordinates of the touch point can be judged by finding the position where the corresponding tangent lines intersect according to the magnitude and direction of the vector acceleration value.
  • calculate the resultant acceleration a 1xyz calculates the resultant acceleration a 1xyz , Calculate the resulting acceleration a 2xyz , According to the magnitude and direction of the resultant accelerations a 1xyz and a 2xyz , their corresponding tangent intersection positions can be found to determine the position of the touch point.
  • the user since the user may have two different situations of holding the mobile terminal with one hand and two hands, it can also be judged whether to hold the mobile terminal with one hand or with two hands according to the acceleration data detected by at least two acceleration sensors. Hold the mobile terminal.
  • the magnitude trend of the acceleration data detected by each of the at least two acceleration sensors at adjacent moments changes periodically, it is determined that the user is holding the terminal with both hands; Computes the positions of two touch points. That is, it is possible to detect the positions of two touch points on the mobile terminal, which are the two palm touch points when the mobile terminal is held by both hands, and then determine two contact areas for each touch point according to the human palm model.
  • FIG. 7 is a schematic diagram of the principle of calculating the position of the touch point held by both hands according to two acceleration data
  • FIG. 8 is a schematic diagram of the touch point of the terminal held by both hands. It can be seen from Fig. 7 and Fig.
  • the acceleration changes detected by the first acceleration sensor 81 and the second acceleration sensor 82 present regularity that is to say, at time t1
  • the acceleration detected by the first acceleration sensor 81 is smaller than the acceleration detected by the second acceleration sensor 82
  • the detected acceleration that is to say, at time t1, the area 83 on the left side may be a human hand contact area; at time t2, the acceleration detected by the second acceleration sensor 82 is smaller than the acceleration detected by the first acceleration sensor 81, that is to say,
  • the area 84 on the right may be the human hand contact area, and then the time t3 and t4 are all changing. It can be concluded that the user is holding the phone with both hands, and then continues to monitor.
  • the acceleration detected by the first acceleration sensor 81 is less than
  • the acceleration data detected by the second acceleration sensor 82, or the acceleration data detected by the second acceleration sensor 82 is smaller than the acceleration data detected by the first acceleration sensor 81 and maintained for a period of time T, may indicate that the user has changed the state of holding the mobile phone.
  • the acceleration detected by the first acceleration sensor 81 is smaller than the acceleration data detected by the second acceleration sensor 82, extract an instantaneous value to calculate the combined acceleration value, and then calculate t2, t3 , t4, t5 multiple t-time sub-acceleration values, and then respectively find the two t-time acceleration values in the same direction and calculate and determine the position of the left and right hands holding the phone.
  • intersection point that is, the position where the acceleration is 0, is outside the mobile terminal, that is to say, only part of the palm of the person touches the rear shell of the mobile terminal during the operation of the two-handed mobile phone.
  • RGB streamer breathing light strip is a highlight of high-end mobile terminals at present. This kind of lighting effect can display different colors according to different working modes, different scenes, and different atmospheres, and enhance the cooler feeling of human interaction. Changing the position of the RGB light strip is to give the mobile terminal a soul, with stronger personalized elements and increased human interaction.
  • the mobile terminal contact area detection method provided by the embodiment of the present application can detect the hand contact area, avoiding the SAR reduction misoperation caused by the hand, and improving the user experience effect.
  • a main antenna and multiple auxiliary antennas on high-end mobile terminals which are generally distributed in different areas of the mobile terminal. If the human hand contact area happens to be the main antenna position, the antenna performance will be significantly affected, and the human hand coverage area will be detected. And automatically switch to other antenna positions that are not blocked, which can improve the performance of the mobile phone and bring better user experience.
  • the acceleration sensor is supported, but also the gyroscope is supported. If the existing acceleration sensor and gyroscope inside a certain terminal are combined, the linear acceleration and angular velocity work together or act separately in different scenes, or different scenes are interchanged. The function can make the calculation of the human hand contact area more accurate, more real-time, more perfect and more meaningful.
  • FIG. 9 is a schematic structural diagram of a mobile terminal contact area detection device provided in an embodiment of the present application.
  • the mobile terminal contact area detection device in this embodiment includes: an acceleration acquisition module 91 configured to obtain the acceleration detected by the acceleration sensor installed in the mobile terminal. Acceleration data; processing module 92, is configured to calculate the touch point position according to the adjacent acceleration data of changing direction within preset time; Contact area determining module 93, is set to determine the contact area of mobile terminal according to touch point position and human palm model .
  • the apparatus for detecting a contact area of a mobile terminal provided in this embodiment is used to implement the method for detecting a contact area of a mobile terminal provided in the embodiment shown in FIG.
  • FIG. 10 is a schematic structural diagram of a mobile terminal provided by an embodiment.
  • the mobile terminal includes a processor 101, a memory 102, and at least one acceleration sensor 103; the number of processors 101 in the mobile terminal can be one or more, one processor 101 is taken as an example in FIG. 10; the processor 101, memory 102, and at least one acceleration sensor 103 in the mobile terminal; can be connected through a bus or other methods, and the connection through a bus is taken as an example in FIG. 10.
  • the memory 102 can be set to store software programs, computer-executable programs and modules, such as program instructions/modules corresponding to the mobile terminal contact area detection method in the embodiments of FIGS. 1-8 of the present application (for example, the acceleration acquisition module 91, the processing module 92, and the contact area determination module 93) in the mobile terminal contact area detection device.
  • the processor 101 executes the software programs, instructions and modules stored in the memory 102 to complete at least one function application and data processing of the mobile terminal, that is, to realize the above-mentioned mobile terminal contact area detection method.
  • the memory 102 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required by a function; the data storage area may store data created according to the use of the mobile terminal, and the like.
  • the memory 102 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage devices.
  • the acceleration sensor 103 is any module or device combination capable of detecting acceleration.
  • the embodiment of the present application also provides a storage medium containing computer-executable instructions.
  • the computer-executable instructions When executed by a computer processor, the computer-executable instructions are used to implement a method for detecting a contact area of a mobile terminal.
  • the acceleration data detected by the acceleration sensor; the position of the touch point is calculated according to the adjacent acceleration data of the changing direction within the preset time; the contact area of the mobile terminal is determined according to the position of the touch point and the human palm model.
  • the various embodiments of the present application can be implemented in hardware or special purpose circuits, software, logic or any combination thereof.
  • some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software, which may be executed by a controller, microprocessor or other computing device, although the application is not limited thereto.
  • Embodiments of the present application may be realized by a data processor of a mobile device executing computer program instructions, for example in a processor entity, or by hardware, or by a combination of software and hardware.
  • Computer program instructions may be assembly instructions, Instruction Set Architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or written in any combination of one or more programming languages source or object code.
  • ISA Instruction Set Architecture
  • Any logic flow block diagrams in the drawings of the present application may represent program steps, or may represent interconnected logic circuits, modules and functions, or may represent a combination of program steps and logic circuits, modules and functions.
  • Computer programs can be stored on memory.
  • the memory may be of any type suitable for the local technical environment and may be implemented using any suitable data storage technology, such as but not limited to Read-Only Memory (ROM), Random Access Memory (RAM), Optical Memory devices and systems (Digital Video Disc (DVD) or Compact Disc (CD)), etc.
  • Computer readable media may include non-transitory storage media.
  • Data processors can be of any type suitable for the local technical environment, such as but not limited to general purpose computers, special purpose computers, microprocessors, digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC ), programmable logic devices (Field-Programmable Gate Array, FPGA), and processors based on multi-core processor architectures.
  • DSP Digital Signal Processing
  • ASIC Application Specific Integrated Circuit
  • FPGA Field-Programmable Gate Array
  • processors based on multi-core processor architectures.

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Abstract

本申请提出一种移动终端接触区域检测方法、装置、移动终端和存储介质,一种移动终端接触区域检测方法包括:获取设置于移动终端内的加速度传感器检测到的加速度数据;根据预设时间内变化方向的相邻加速度数据计算触摸点位置;根据触摸点位置和人体手掌模型,确定移动终端的接触区域。

Description

移动终端接触区域检测方法、装置、移动终端和存储介质
本申请要求在2021年12月31日提交中国专利局、申请号为202111673551.0的中国专利申请的优先权,以上申请的全部内容通过引用结合在本申请中。
技术领域
本申请涉及终端技术,例如涉及一种移动终端接触区域检测方法、装置、移动终端和存储介质。
背景技术
如今,人们对智能手机性能和外观要求越来越高。高速率、高流畅性,多天线设计、降人体电磁波吸收率(Specific Absorption Rate,SAR)新功能,扬声器(speaker)立体音效、变换RGB(red green blue,红绿蓝)灯带显示,超酷外观设计,这些所有用户体验性能都因人手触摸位置遮挡,导致性能急剧下降。例如人手覆盖在天线位置影响天线性能;人手遮挡扬声器位置,音效被遮挡;人手遮挡降SAR传感器以使功率被误降低;人手遮挡RGB灯带,则将无法在不同工作模式,不同场景,不同氛围,展示不同色彩,大大降低人体互动性。
由此可见,如何准确检测用户使用智能手机时手触摸的位置,是提高智能手机使用体验的重要技术。
发明内容
本申请提供一种移动终端接触区域检测方法、装置、移动终端和存储介质,可准确检测用户使用移动终端时的接触区域。
第一方面,本申请实施例提供了一种移动终端接触区域检测方法,包括:
获取设置于移动终端内的加速度传感器检测到的加速度数据;
根据预设时间内变化方向的相邻加速度数据计算触摸点位置;
根据触摸点位置和人体手掌模型,确定移动终端的接触区域。
第二方面,本申请实施例提供了一种移动终端接触区域检测装置,包括:
加速度获取模块,设置为获取设置于移动终端内的加速度传感器检测到的加速度数据;
处理模块,设置为根据预设时间内变化方向的相邻加速度数据计算触摸点位置;
接触区域确定模块,设置为根据触摸点位置和人体手掌模型,确定移动终端的接触区域。
第三方面,本申请实施例提供了一种移动终端,包括:
一个或多个处理器;
存储装置,设置为存储一个或多个程序;
至少一个加速度传感器,用于检测加速度数据;
当一个或多个程序被一个或多个处理器执行,使得一个或多个处理器实现第一方面任一种可能的实现方式的移动终端接触区域检测方法。
第四方面,本申请实施例提供了一种计算机可读存储介质,存储有计算机可执行指令,计算机可执行指令用于第一方面任一种可能的实现方式的移动终端接触区域检测方法。
附图说明
图1为本申请实施例提供的一种移动终端接触区域检测方法的流程图;
图2为根据加速度数据计算触摸点位置的原理示意图;
图3为本申请实施例提供的另一种移动终端接触区域检测方法的流程图;
图4为本申请实施例提供的另一种移动终端接触区域检测方法的流程图;
图5为单手握持终端的触摸点示意图;
图6为根据加速度数据计算触摸点位置的另一原理示意图;
图7为根据两个加速度数据计算双手握持触摸点位置的原理示意图;
图8为双手握持终端的触摸点示意图;
图9为本申请实施例提供的一种移动终端接触区域检测装置的结构示意图;
图10为一实施例提供的一种移动终端的结构示意图。
具体实施方式
下文中将结合附图对本申请的实施例进行详细说明。可以理解的是,此处所描述的具体实施例仅仅用于解释本申请,而非对本申请的限定。需要说明的是,在不冲突的情况下,本申请中的实施例及实施例中的特征可以相互任意组合。另外还需要说明的是,为了便于描述,附图中仅示出了与本申请相关的部分而非全部结构。
在本申请实施例中,“可选地”或者“示例性地”等词用于表示作例子、例证或说明。本申请实施例中被描述为“可选地”或者“示例性地”的任何实施例或设计方 案不应被解释为比其它实施例或设计方案更优选或更具优势。确切而言,使用“可选地”或者“示例性地”等词旨在以具体方式呈现相关概念。
图1为本申请实施例提供的一种移动终端接触区域检测方法的流程图,如图1所示,本实施例提供的移动终端接触区域检测方法包括:
步骤S110,获取设置于移动终端内的加速度传感器检测到的加速度数据。
本实施例提供的移动终端接触区域检测方法应用于可以被用户握持使用的移动终端。由于目前移动终端的功能越来越丰富,在移动终端有限的空间内各种器件的集成度越来越高,虽然这为移动终端提供了更丰富的功能,但这需要对移动终端内部各器件进行良好的电磁兼容设计。但与传统的固定式设备不同,移动终端在大部分使用场景中都是被用户用手握持使用的,那么握持移动终端的手部就会由于覆盖在各器件的位置而对各器件的正常工作产生影响。虽然目前的移动终端中已经考虑到各器件受到外界影响时的各种优化方案,例如当检测到主天线位置被遮挡则切换到副天线,检测到SAR传感器异常则不启动降SAR功能,检测到扬声器被遮挡则切换到副扬声器,检测到RGB灯带被遮挡则切换到副RGB灯带等。但目前对于如何准确检测移动终端被用户握持时被手部覆盖的区域,仍没有非常准确的方案。
本实施例提供的移动终端接触区域检测方法,通过对移动终端的加速度数据进行检测和处理,并结合人体手掌模型,从而确定移动终端的接触区域,能够实现对移动终端接触区域的准确检测,在此基础上,可以优化移动终端中各器件的工作方式,提高用户体验。
首先,本实施例提供的移动终端接触区域检测方法,应用于具有加速度传感器的移动终端,该移动终端可以是任一种可被用户手持使用的移动终端,例如手机、平板电脑等。加速度传感器是目前移动终端中的常规配置之一。在本实施例中,移动终端中可以包括至少一个加速度传感器。该加速度传感器可以为任意类型的加速度传感器,只要能够得到具有加速度方向和大小的矢量加速度数据即可。
首先,获取设置于移动终端内的加速度传感器检测到的加速度数据,移动终端中的加速度数据可以是周期性获取的,也就是通过移动终端中的加速度传感器持续监测移动终端的加速度数据,该加速度数据是包括加速度方向和大小的矢量数据。移动终端中可以包括一个或多个加速度传感器,可以获取移动终端中的一个或多个加速度传感器检测到的加速度数据。移动终端的加速度数据可以是移动终端处于工作状态时获取的,也可以是无论移动终端是否处于工作 状态均获取的。
步骤S120,根据预设时间内变化方向的相邻加速度数据计算触摸点位置。
在获取移动终端的加速度数据的同时,还需要对加速度数据进行分析处理,判断预设时间内加速度数据方向的变化情况。其中预设时间可以是一个预先设置的时间段,预设时间可以是任意时间长度,可根据需要设置,或者预设时间是用户使用同一个姿势握持手机的时间。将预设时间内分割为若干个时间分段,获取各时间分段的加速度数据后,进行判断。每个时间分段可以是预定长度的一个时间分段,也可以是根据加速度数据的变化情况分割的,当加速度大小在变化但方向不变时认为是同一时间分段,当加速度方向发生变化时认为处于下一时间分段。当预设时间内相邻加速度的加速度数据方向发生改变,则根据变化方向的相邻加速度数据计算触摸点位置。而触摸点位置是根据变化方向的相邻加速度数据方向的切线确定的,相邻加速度数据的方向发生变化,那么加速度数据的方向的切线也会相交,那么触摸点位置即为各切线的相交点。
在一实施例中,计算触摸点位置可以包括:根据预设时间内加速度数据的方向变化情况将预设时间分割为多个时间段,每一时间段内的加速度数据方向相同;若预设时间内相邻时间段的加速度数据方向的切线相交,则确定变化方向的相邻时间段的加速度数据方向的交点为触摸点位置。
图2为根据加速度数据计算触摸点位置的原理示意图,如图2所示,图2中横轴为时间,将一个预设时间段T分割为若干个时间分段t1、t2、t3、t4、t5...。在时间段T内,用户保持一个握持姿势握持移动终端,按照移动终端加速度方向变化将时间段T分割为若干个时间分段。在每个时间分段内,用户向同一个方向转动或晃动移动终端,因此加速度方向相同,也就是在每个时间分段内,移动终端的加速度传感器检测到的加速度数据的方向相同,如在时间分段t1内,加速度数据a11、a12、a13、a14、a15的方向相同,但大小不同。每个时间分段内,加速度大小与距离移动终端上的触摸位置相关,距离触摸位置越远加速度越大,距离触摸位置越近加速度越小,在触摸位置处加速度为0。当用户转动或晃动移动终端的方向变化时,对应于下一个时间分段t2,在时间分段t2内,检测到的加速度数据的大小和方向相对于时间分段t1有所变化,但在时间分段t2内,加速度方向和大小和时间分段t1的规律相似,时间分段t3、t4、t5...都有类似特点,直至时间分段t5内的加速度数据a51、a52、a53、a54、a55。当用户手部在移动终端上的触摸位置不变,根据加速度变化特点发现,在移动终端摇晃过程中,用户手腕这个原点是不动的,虽然不同时间分段内加速度大小在变化, 但它的方向不变化,而且根据移动终端晃动特点,加速度方向和转轴方向相切,也就是说不同时间分段内,加速度切线方向会重合在一个点,这个点位置就是原点,也就是手部在移动终端上的接触区域,当然这个点也有可能在移动终端外。
步骤S130,根据触摸点位置和人体手掌模型,确定移动终端的接触区域。
由于人体手掌具有一定面积,因此人体手掌握持移动终端时,在移动终端上会占据一定大小的接触区域。因此在确定了触摸点位置后,还需要根据该触摸点位置和人体手掌模型,确定移动终端的接触区域。虽然不同人体手掌的大小和形状不尽相同,但是人体手掌具有大致类似的形状,因此人体手掌模型可以是一个固定的模型。或者人体手掌模型还可以是与使用移动终端的用户相匹配的模型,用户可以在移动终端中个性化地设置与自身手掌形状和大小相同的人体手掌模型。用户常规握持移动终端的姿势基本是固定姿势,那么在确定了触摸点位置以及人体手掌模型后,即可以触摸点为基准,确定用户手掌在移动终端的接触区域。例如对于智能手机,用户一般单手握持使用,当确定触摸点位于智能手机背面下方、中间或上侧的某一位置,即可根据人体手掌模型确定出实际接触区域。
在一实施例中,可以根据触摸点位置和人体手掌模型,以及人体握持姿势模型,确定移动终端的接触区域。人体握持姿势模型是用户握持移动终端时手部的姿势,用户在不同情况下使用移动终端可能使用不同的姿势,例如使用移动终端浏览网页时一般是单手在下方握持,而使用移动终端横屏玩游戏时一般是双手分别在下方握持,使用移动终端接打电话时则是单手位于后方握持等。因此可以根据移动终端不同的使用状态,选择对应的人体握持姿势模型,并结合触摸点位置和人体手掌模型确定移动终端的接触区域。
在确定了移动终端的实际接触区域之后,即可确定该接触区域对移动终端各器件的影响,从而通过调整各器件的工作状态使得移动终端能够正常工作。例如检测出人手接触区域为散热区域,则可以将热从人手接触区域定向传递到人手非接触区域;检测出人手接触区域遮挡主天线位置,则可以切换到人手非接触区域的副天线;检测出人手接触区域遮挡降SAR传感器在背面位置,则不启动降SAR功能;检测出人手接触区域遮挡主扬声器位置,则切换到副扬声器,使得音效不降低不中断;检测出人手接触区域遮挡RGB灯带,则切换到副RGB灯带,则不同工作模式,不同场景,不同氛围下可持续展示不同色彩,使得RGB灯带永远流光溢彩,增加人机互动性。
本实施例提供的移动终端接触区域检测方法,首先获取设置于移动终端内的加速度传感器检测到的加速度数据,根据预设时间内变化方向的相邻加速度数据计算触摸点位置,最后根据触摸点位置和人体手掌模型,确定移动终端的接触区域,实现了移动终端接触区域的准确检测,从而能够通过调整移动终端各器件的工作状态提高用户手持移动终端时的使用体验。
图3为本申请实施例提供的另一种移动终端接触区域检测方法的流程图,如图3所示,本实施例提供的移动终端接触区域检测方法包括:
步骤S310,获取设置于移动终端内的加速度传感器检测到的加速度数据。
步骤S320,根据预设时间内加速度数据的方向变化情况将预设时间分割为多个时间段,每一时间段内的加速度数据方向相同。
步骤S330,若预设时间内相邻时间段的加速度数据方向的切线相交,则确定变化方向的相邻时间段的加速度数据方向的交点为所述触摸点位置。
步骤S340,根据触摸点位置和人体手掌模型,确定移动终端的接触区域。
步骤S350,当预设时间内相邻时间段的加速度数据方向的切线不相交时,重新根据变化方向的相邻加速度数据计算触摸点位置。
在图1所示实施例提供的移动终端接触区域检测方法中,实现了移动终端接触区域的检测,而用户在使用移动终端的过程中,可能随时改变握持姿势,而握持姿势的改变,可能导致用户在移动终端上的接触区域的改变。因此在确定了移动终端的接触区域之后,仍持续对移动终端的加速度数据进行检测,若检测到加速度数据方向的切线不再相交时,重新根据变化方向的相邻加速度数据计算触摸点位置。也就是说,当移动终端的相邻加速度数据方向的切线不再相交时,意味着用户的握持位置发生了变化,此时需要重新获取加速度数据并据此重新计算触摸点位置和接触区域,在重新计算触摸点和接触区域时,需要清除前期的所有数据重新计算。
图4为本申请实施例提供的另一种移动终端接触区域检测方法的流程图,如图4所示,本实施例提供的移动终端接触区域检测方法包括:
步骤S410,获取设置于移动终端内的至少两个加速度传感器检测到的加速度数据,至少两个加速度传感器设置于移动终端的不同位置。
步骤S420,计算至少两个加速度传感器检测到的加速度数据的合加速度数据。
步骤S430,根据预设时间内变化方向的相邻合加速度数据计算触摸点位置。
步骤S440,根据触摸点位置和人体手掌模型,确定移动终端的接触区域。
为了更加准确地对移动终端的接触区域进行检测,可以在移动终端中设置至少两个加速度传感器,至少两个加速度传感器设置于移动终端的不同位置。设置于不同位置的加速度传感器能够检测出不同的加速度数据。通过至少两个加速度数据共同对移动终端的加速度数据进行检测,能够进一步提高移动终端接触区域检测的准确性。一般地,可以使用两个加速度传感器对加速度数据进行检测。
当通过移动终端的至少两个加速度传感器检测加速度数据时,每个加速度传感器在同一时间会分别检测出一个加速度数据,那么为了根据预设时间内变化方向的相邻加速度数据计算触摸点位置,可以先将至少两个加速度传感器检测到的加速度数据合成为合加速度数据,合加速度数据就是将至少两个同为矢量数据的加速度数据进行合成。若预设时间内,相邻合加速度数据方向发生变化,那么根据变化方向的相邻合加速度数据计算触摸点位置。在计算得到触摸点位置后,仍然按照与图1和图3相同的方法确定移动终端的接触区域。同样地,当具有至少两个加速度传感器时,若至少两个加速度传感器检测到的加速度数据的合加速度的变化方向情况发生了变化,也就是当预设时间内相邻时间段的合加速度数据方向的切线不相交时,重新根据变化方向的相邻合加速度数据计算触摸点位置,
当存在至少两个加速度传感器时,在计算触摸点位置之前,若至少两个加速度传感器中的第一加速度传感器在同一时刻检测到的加速度数据均小于其他加速度传感器检测到的加速度数据,则确定触摸点位置靠近第一加速度传感器。也就是首先根据至少两个加速度传感器检测到的数据判断触摸点的大致位置,然后再具体确定触摸点的具体位置。
图5为单手握持终端的触摸点示意图,如图5所示,在移动终端51上设置有第一加速度传感器52和第二加速度传感器53两个加速度传感器,且将移动终端大致分为区域54、区域55和区域56三个区域。
当第一加速度传感器52检测到的加速度值小于第二加速度传感器53检测到的加速度值,可以初步判断,人手在左侧位置。然后在第一加速度传感器52和第二加速度传感器53各取两个加速度值进行计算,经过计算得出接触点1位置,然后根据人手掌大小,确定出人手接触区域在左侧区域54。
当第二加速度传感器53检测到加速度值小于第一加速度传感器52检测到的加速度值,可以初步判断,人手在右侧位置。然后在第一加速度传感器52和第二加速度传感器53各取两个加速度值进行计算,经过计算得出接触点2位置, 然后根据人手掌大小,确定出人手接触区域在右侧区域55。
当第一加速度传感器51检测到的加速度值和第二加速度传感器53检测到的加速度值都比较大,且呈现出两边大中间小趋势,可以初步判断,人手接触区在中间某个区域。然后在第一加速度传感器52和第二加速度传感器53各取两个加速度值进行计算,经过计算得出接触点3位置,然后根据人手掌大小,确定出人手接触区域在中间的区域56。
图6为根据加速度数据计算触摸点位置的另一原理示意图,在图6中,以同一时刻两个加速度数据传感器进行检测为例,图6中,A1xyz为第一加速度传感器在t1时刻检测到的加速度数据,A2xyz为第二加速度传感器在t1时刻检测到的加速度数据。a1x、a1y、a1z为第一加速度传感器在t1时刻检测到的加速度数据在x、y、z平面瞬时值的各分量,a2x、a2y、a2z为第二加速度传感器在t1时刻检测到的加速度数据在x、y、z平面瞬时值的各分量。切线1为加速度数据A1xyz的切线,切线2为加速度数据A2xyz的切线,两者的交点为触摸点。
由于同一时刻第一加速度传感器和第二加速度传感器方向相同,所以可直接比对加速度各分量大小;例如:t1时刻,第一加速度传感器取加速度瞬时值a1x、a1y、a1z,第一加速度传感器取加速度瞬时值a2x、a2y、a2z。如果:a1x>a2x;a1y>a2y;a1z>a2z,则初步判断人手触摸位置在第二加速度传感器附近。如果:a2x>a1x;a2y>a1y;a2z>a1z,则初步判断人手触摸位置在第一加速度传感器附近。
只要在t1和t2时刻分别检测一个加速度值,计算出合加速度也就是矢量加速度值,并根据矢量加速度值大小和方向,找出对应切线相交的位置,就可以判断出触摸点位置及坐标。如图5中,计算合加速度a 1xyz
Figure PCTCN2022114099-appb-000001
计算合加速度a 2xyz
Figure PCTCN2022114099-appb-000002
根据合加速度a 1xyz、a 2xyz大小和方向,可以找到他们对应的切线相交位置,即可确定触摸点位置。
当所有时间分段内加速度切线位置相交点不变,认为这个时间段还没有结束,用户触摸位置还没有更换。当时间分段内加速度切线位置相交点位置变换,说明用户更改手持位置,则清零前期所有数据并开启新一轮比对测试。
在一实施例中,由于用户可能存在单手握持和双手握持两种不同的握持移动终端情况,因此还可以根据至少两个加速度传感器检测到的加速度数据判断是单手握持还是双手握持移动终端。其中,若至少两个加速度传感器中的各加 速度传感器在相邻时刻检测到的加速度数据大小趋势呈周期性变化,则确定用户双手握持终端;根据预设时间内变化方向的相邻合加速度数据计算两个触摸点位置。也就是能够检测出移动终端上的两个触摸点位置,分别为双手握持时的两个手掌触摸点,然后分别针对每个触摸点根据人体手掌模型确定两个接触区域。
图7为根据两个加速度数据计算双手握持触摸点位置的原理示意图,图8为双手握持终端的触摸点示意图。通过图7和图8可以看出第一加速度传感器81、第二加速度传感器82检测到的加速度变化呈现规律性,也就是说t1时刻,第一加速度传感器81检测到的加速度小于第二加速度传感器82检测到的加速度,也就是说t1时刻,左侧的区域83可能是人手接触区域;t2时刻第二加速度传感器82检测到的加速度小于第一加速度传感器81检测到的加速度,也就是说t2时刻,右边的区域84可能是人手接触区域,接着t3时刻、t4时刻都在变化中,可以断定用户在双手握机,然后持续监测,等到某个t时刻开始,第一加速度传感器81检测到的加速度小于第二加速度传感器82检测到的加速度数据,或者第二加速度传感器82检测到的加速度小于第一加速度传感器81检测到的加速度数据并保持T时间段,则可以说明用户变换了握持手机状态。在用户双手握机范围内,在某些t时刻,如果第一加速度传感器81检测到的加速度小于第二加速度传感器82检测到的加速度数据,抽取一个瞬时值计算合加速度值,然后计算t2、t3、t4、t5多个t时间分段的合加速度值,然后分别找出方向相同2个t时刻加速度值经过计算确定出左右手握机点位置。
如图8所示,经过计算后发现相交点,也就是加速度为0点位置在移动终端外,也就是说双手持机操作过程中,人手掌只有部分触摸在移动终端的后壳上。
基于本申请实施例提供的移动终端接触区域检测方法确定移动终端的接触区域后,至少可以实现如下功能:
1、检测出人手接触区域,可协助开展实时定向散热。
当今移动终端高性能的需求必然会带来大量热聚集,一大难题就是散热,采用本申请实施例提供的移动终端接触区域检测方法可实时检测人手触摸区域,为研发定向散热提供了基础。
2、根据检测到的人手接触区域,调整RGB呼吸灯位置,避免被遮挡。
RGB流光呼吸灯带是目前高端移动终端的一大亮点,这类灯效可以根据不同工作模式,不同场景,不同氛围,展示不同色彩,增强人际交互更酷的感受, 如果能够根据人手触摸位置,变换RGB灯带位置,就是让移动终端有了灵魂,个性化元素更强,增加人体互动性。
3、根据检测人手接触区域,协助降SAR传感器规避人手引起误操作。
SAR为人体吸收率,这个值太大直接影响人体健康,所以近年来各类降SAR传感器陆续出现,希望只有人头靠近时降SAR传感器生效,如果是人手靠近则不启动降SAR,这样可以提高人手操作性能,采用本申请实施例提供的移动终端接触区域检测方法可以检测人手接触区域,规避人手带来降SAR误操作,提升用户体验效果。
4、根据检测位置,切换主、副天线,规避人手对天线遮挡,提升用户体验效果。
目前高端移动终端上均有一个主天线和多个副天线,一般情况下都分布在移动终端的不同区域,人手接触区域如果正好是主天线位置,则会明显影响天线性能,检测出人手覆盖区域并自动切换到未被遮挡的其它天线位置,可提升手机性能,带来更好的用户体验效果。
另外,对于某些高端智能终端,不仅支持加速度传感器,还支持陀螺仪,如果结合一定终端内部现有加速度传感器和陀螺仪,通过线加速度和角速度共同作用或者分场景单独作用、或者不同场景互换作用,可使人手接触区域计算更准确、更实时、更完善,更有意义。
图9为本申请实施例提供的一种移动终端接触区域检测装置的结构示意图,本实施例移动终端接触区域检测装置包括:加速度获取模块91,设置为获取设置于移动终端内的加速度传感器检测到的加速度数据;处理模块92,设置为根据预设时间内变化方向的相邻加速度数据计算触摸点位置;接触区域确定模块93,设置为根据触摸点位置和人体手掌模型,确定移动终端的接触区域。
本实施例提供的移动终端接触区域检测装置,用于实现图1所示实施例提供的移动终端接触区域检测方法,其实现原理和技术效果类似,此处不再赘述。
图10为一实施例提供的一种移动终端的结构示意图,如图10所示,该移动终端包括处理器101、存储器102、至少一个加速度传感器103;移动终端中处理器101的数量可以是一个或多个,图10中以一个处理器101为例;移动终端中的处理器101和存储器102、至少一个加速度传感器103;可以通过总线或其他方式连接,图10中以通过总线连接为例。
存储器102作为一种计算机可读存储介质,可设置为存储软件程序、计算机可执行程序以及模块,如本申请图1-图8实施例中的移动终端接触区域检测 方法对应的程序指令/模块(例如,移动终端接触区域检测装置中的加速度获取模块91、处理模块92、接触区域确定模块93)。处理器101通过运行存储在存储器102中的软件程序、指令以及模块,从而完成移动终端至少一种功能应用以及数据处理,即实现上述的移动终端接触区域检测方法。
存储器102可主要包括存储程序区和存储数据区,其中,存储程序区可存储操作系统、至少一个功能所需的应用程序;存储数据区可存储根据移动终端的使用所创建的数据等。此外,存储器102可以包括高速随机存取存储器,还可以包括非易失性存储器,例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。
加速度传感器103为任一种能够实现加速度检测的模块或器件组合。
本申请实施例还提供一种包含计算机可执行指令的存储介质,计算机可执行指令在由计算机处理器执行时用于执行一种移动终端接触区域检测方法,该方法包括:获取设置于移动终端内的加速度传感器检测到的加速度数据;根据预设时间内变化方向的相邻加速度数据计算触摸点位置;根据触摸点位置和人体手掌模型,确定移动终端的接触区域。
一般来说,本申请的多种实施例可以在硬件或专用电路、软件、逻辑或其任何组合中实现。例如,一些方面可以被实现在硬件中,而其它方面可以被实现在可以被控制器、微处理器或其它计算装置执行的固件或软件中,尽管本申请不限于此。
本申请的实施例可以通过移动装置的数据处理器执行计算机程序指令来实现,例如在处理器实体中,或者通过硬件,或者通过软件和硬件的组合。计算机程序指令可以是汇编指令、指令集架构(Instruction Set Architecture,ISA)指令、机器指令、机器相关指令、微代码、固件指令、状态设置数据、或者以一种或多种编程语言的任意组合编写的源代码或目标代码。
本申请附图中的任何逻辑流程的框图可以表示程序步骤,或者可以表示相互连接的逻辑电路、模块和功能,或者可以表示程序步骤与逻辑电路、模块和功能的组合。计算机程序可以存储在存储器上。存储器可以具有任何适合于本地技术环境的类型并且可以使用任何适合的数据存储技术实现,例如但不限于只读存储器(Read-Only Memory,ROM)、随机访问存储器(Random Access Memory,RAM)、光存储器装置和系统(数码多功能光碟(Digital Video Disc,DVD)或光盘(Compact Disc,CD))等。计算机可读介质可以包括非瞬时性存储介质。数据处理器可以是任何适合于本地技术环境的类型,例如但不限于通 用计算机、专用计算机、微处理器、数字信号处理器(Digital Signal Processing,DSP)、专用集成电路(Application Specific Integrated Circuit,ASIC)、可编程逻辑器件(Field-Programmable Gate Array,FPGA)以及基于多核处理器架构的处理器。

Claims (11)

  1. 一种移动终端接触区域检测方法,包括:
    获取设置于移动终端内的加速度传感器检测到的加速度数据;
    根据预设时间内变化方向的相邻加速度数据计算触摸点位置;
    根据触摸点位置和人体手掌模型,确定所述移动终端的接触区域。
  2. 根据权利要求1所述的方法,其中,所述根据预设时间内变化方向的相邻加速度数据计算触摸点位置,包括:
    根据预设时间内加速度数据的方向变化情况将所述预设时间分割为多个时间段,每一时间段内的加速度数据方向相同;
    响应于预设时间内相邻时间段的加速度数据方向的切线相交,确定变化方向的相邻时间段的加速度数据方向的交点为所述触摸点位置。
  3. 根据权利要求2所述的方法,所述响应于预设时间内相邻时间段的加速度数据方向的切线相交,确定变化方向的相邻时间段的加速度数据方向的交点为所述触摸点位置之后,还包括:
    响应于预设时间内相邻时间段的加速度数据方向的切线不相交,重新根据变化方向的相邻加速度数据计算触摸点位置。
  4. 根据权利要求1所述的方法,其中,所述根据触摸点位置和人体手掌模型,确定所述移动终端的接触区域,包括:
    根据所述触摸点位置和人体手掌模型,以及人体握持姿势模型,确定所述移动终端的接触区域。
  5. 根据权利要求1~4任一项所述的方法,其中,所述获取设置于移动终端内的加速度传感器检测到的加速度数据,包括:
    获取设置于所述移动终端内的至少两个加速度传感器检测到的加速度数据,所述至少两个加速度传感器设置于所述移动终端的不同位置。
  6. 根据权利要求5所述的方法,其中,所述根据预设时间内变化方向的相邻加速度数据计算触摸点位置,包括:
    计算所述至少两个加速度传感器检测到的加速度数据的合加速度数据;
    根据预设时间内变化方向的相邻合加速度数据计算触摸点位置。
  7. 根据权利要求5或6所述的方法,所述根据预设时间内变化方向的相邻加速度数据计算触摸点位置之前,还包括:
    响应于所述至少两个加速度传感器中的第一加速度传感器在同一时刻检测到的加速度数据小于所述至少两个加速度传感器中的其他加速度传感器检测到的加速度数据,确定触摸点位置靠近所述第一加速度传感器。
  8. 根据权利要求6所述的方法,其中,所述根据预设时间内变化方向的相邻加速度数据计算触摸点位置,包括:
    响应于所述至少两个加速度传感器中的每个加速度传感器在相邻时刻检测到的加速度数据大小趋势呈周期性变化,确定用户双手握持终端;
    根据预设时间内变化方向的相邻合加速度数据计算两个触摸点位置。
  9. 一种移动终端接触区域检测装置,包括:
    加速度获取模块,设置为获取设置于移动终端内的加速度传感器检测到的加速度数据;
    处理模块,设置为根据预设时间内变化方向的相邻加速度数据计算触摸点位置;
    接触区域确定模块,设置为根据触摸点位置和人体手掌模型,确定所述移动终端的接触区域。
  10. 一种移动终端,包括:
    一个或多个处理器;
    存储装置,设置为存储一个或多个程序;
    至少一个加速度传感器,设置为检测加速度数据;
    当所述一个或多个程序被所述一个或多个处理器执行,使得所述一个或多个处理器实现如权利要求1-8中任一所述的移动终端接触区域检测方法。
  11. 一种计算机可读存储介质,存储有计算机可执行指令,所述计算机可执行指令用于执行权利要求1~8任一项的移动终端接触区域检测方法。
PCT/CN2022/114099 2021-12-31 2022-08-23 移动终端接触区域检测方法、装置、移动终端和存储介质 WO2023124138A1 (zh)

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