CN111796682B - Control method and device electronic equipment - Google Patents
Control method and device electronic equipment Download PDFInfo
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- CN111796682B CN111796682B CN202010656813.1A CN202010656813A CN111796682B CN 111796682 B CN111796682 B CN 111796682B CN 202010656813 A CN202010656813 A CN 202010656813A CN 111796682 B CN111796682 B CN 111796682B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input 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
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
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Abstract
The application discloses a control method, a control device and electronic equipment, wherein the motion data of a user head corresponding to target equipment is obtained, the motion data is analyzed to obtain a corresponding rotation radius, and a target parameter is determined based on the rotation radius, so that information can be controlled for the target equipment through the target parameter. The target parameters are determined through the rotating radius of the head movement data of the user, the environmental requirements on target parameter equipment are reduced, the setting accuracy is improved, and therefore the control precision is improved.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a control method, an apparatus, and an electronic device.
Background
With the development of immersive devices such as Virtual Reality (VR) devices, Augmented Reality (AR) devices, and Mixed Reality (MR) devices, applications corresponding to these devices are increasing, such as games and audio-visual experiences.
For example, when a user sets a value only with the AR eye, generating an instruction for setting a control parameter based on voice information uttered by the user is generally required to meet a high requirement for an application environment, and is prone to cause a problem of inaccurate setting, and to affect control accuracy.
Disclosure of Invention
In view of this, the present application provides the following technical solutions:
a control method, comprising:
acquiring motion data of a user head corresponding to target equipment;
analyzing the motion data and determining a rotation radius matched with the motion data;
and determining a target parameter based on the rotation radius, wherein the target parameter is a parameter for controlling information by the target equipment.
Optionally, the analyzing the motion data and determining a turning radius matched with the motion data includes:
analyzing the motion data to obtain a head action type corresponding to the motion data;
and if the head movement type is a head rotation type, acquiring a rotation radius.
Optionally, the method further comprises:
and if the head action type does not meet the head rotation type, determining a control instruction for the target equipment according to the head action type, so that the target equipment executes matched operation based on the control instruction.
Optionally, the determining a target parameter based on the turning radius includes:
and determining a target parameter based on the granularity data corresponding to the turning radius.
Optionally, the determining a target parameter based on the granularity data corresponding to the turning radius includes:
if the rotation radius is larger than the radius threshold, determining a target parameter based on a first granularity;
and if the turning radius is not larger than the radius threshold, determining a target parameter based on a second granularity.
Optionally, if the head motion type is a head rotation type, acquiring a rotation radius includes:
mapping motion data corresponding to the head rotation to a target ring;
based on the target ring shape, a radius of rotation is determined.
Optionally, the determining a target parameter based on the granularity data corresponding to the turning radius includes:
analyzing the motion data to obtain the degree of head rotation;
determining a parameter hierarchy based on the granularity data corresponding to the radius of rotation;
and determining a target parameter according to the parameter hierarchy and the head rotation degree.
Optionally, the determining a target parameter based on the granularity data corresponding to the turning radius includes:
determining a rotation angle and a rotation speed corresponding to the rotation radius;
determining granularity data based on the radius of rotation, the angle of rotation, and the speed of rotation;
and acquiring target parameters corresponding to the granularity data.
A control device, comprising:
an acquisition unit configured to acquire motion data of a head of a user corresponding to a target device;
the analysis unit is used for analyzing the motion data and determining a rotation radius matched with the motion data;
and the determining unit is used for determining a target parameter based on the rotation radius, wherein the target parameter is a parameter for controlling information by the target equipment.
An electronic device, comprising:
a memory for storing a program;
a processor configured to execute the program, the program specifically configured to:
acquiring motion data of a user head corresponding to target equipment;
analyzing the motion data and determining a rotation radius matched with the motion data;
and determining a target parameter based on the rotation radius, wherein the target parameter is a parameter for controlling information by the target equipment.
According to the technical scheme, the application discloses a control method, a control device and electronic equipment, wherein the motion data of the head of a user corresponding to target equipment is acquired, the motion data is analyzed to obtain a corresponding turning radius, and a target parameter is determined based on the turning radius, so that information can be controlled for the target equipment through the target parameter. The target parameters are determined through the rotating radius of the head movement data of the user, the environmental requirements on target parameter equipment are reduced, the setting accuracy is improved, and therefore the control precision is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, 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 only embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on the provided drawings without creative efforts.
Fig. 1 is a schematic flowchart of a control method according to an embodiment of the present disclosure;
fig. 2 is a schematic view of a head rotation mapping provided in an embodiment of the present application;
fig. 3 is a schematic flow chart of another control method provided in the embodiment of the present application;
fig. 4 is a scene schematic diagram of an application scenario of time setting according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a control device according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. 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 application.
Referring to fig. 1, a schematic flow chart of a control method provided in an embodiment of the present application is shown, where the method includes:
s101, acquiring motion data of the head of the user corresponding to the target device.
Among other things, the target device may be a head mounted device worn by the user, which may be various immersive devices, such as VR (Virtual Reality) helmets, AR (Augmented Reality) glasses. The target device itself may be integrated with hardware such as a data acquisition device, a processor, a memory, etc., or may be combined with other electronic devices, for example, the target device may perform data interaction with the processor in the mobile terminal through the wireless network module, so as to implement corresponding functions of the target device.
Correspondingly, the data acquisition unit of the target device may acquire the motion data of the head of the user wearing the target device, for example, the data acquisition unit of the target device may acquire the motion data of the head of the user through a sensor of the target device, where the sensor may be an acceleration sensor, an angular velocity sensor (such as a gyroscope), or a gravity sensor. The collected motion data of the head of the user refers to data of the head of the user performing motion, and the motion refers to change data of the posture of the head of the user at the current moment relative to the posture of the head of the user at the last moment. Specifically, the motion data of the head of the user can be represented by the angle between the head and the horizontal plane.
And S102, analyzing the motion data and determining a rotation radius matched with the motion data.
The collected motion data is analyzed by a processor of the target device or a processor of the electronic device connected with the target device to obtain specific form data corresponding to the motion data, such as angle data, motion type, rotation direction, rotation amplitude data, and the like. In the embodiment of the application, the rotation radius matched with the motion data can be obtained by analyzing the motion data. The rotation radius may be determined based on a rotation amplitude of the head of the user, where the larger the rotation amplitude of the head of the user is, the larger the corresponding rotation radius is, and the smaller the rotation amplitude is, the smaller the corresponding rotation radius is.
S103, determining target parameters based on the rotation radius.
In the embodiment of the present application, the rotation radius is associated with a parameter for controlling information by the target device, that is, the size of the rotation radius may determine the selection of the parameter for controlling information by the target device. The target parameter may also be determined based on the turning radius and data associated with the turning radius, such as turning rate, turning angle, and head turning direction. For example, the corresponding turning radius is determined by turning the head of the user by 360 degrees, so that the setting of the granularity of the selection parameter can be performed through the turning radius, the rate of one turn of the head is corresponding to the turning radius of the head, the smaller the radius, the faster the turn of the head is, the more the coarse granularity switching value is adapted, and the larger the radius, the slower the turn is, the more the precision selection value is adapted. When the turning radius of the head of the user can be a, the corresponding turning radius can also be b, wherein a is larger than b. Therefore, when the rotation radius of the user is a, the head of the user rotates a circle slowly, the method is suitable for selecting a fine-grained numerical value, and the specific control parameter can be 5; when the turning radius of the user is b, the user's head turns one circle faster, which may be suitable for coarse-grained value selection, and the specific control parameter may be 10. The control parameter is a precision parameter for controlling the target device to control the information, such as a time adjustment interval parameter of the control time setting interface.
The application discloses a control method, which comprises the steps of obtaining motion data of a user head corresponding to target equipment, analyzing the motion data to obtain a corresponding rotation radius, determining a target parameter based on the rotation radius, and controlling information for the target equipment through the target parameter. The target parameters are determined through the rotating radius of the head movement data of the user, the environmental requirements on target parameter equipment are reduced, the setting accuracy is improved, and therefore the control precision is improved.
In a possible implementation manner of the present application, when determining the turning radius according to the head movement data of the user, the head movement type of the user needs to be determined first, because when the target device is a head-mounted device, besides setting related parameters, information interaction may also be performed on related information, for example, a selection operation of a nodding movement of the user on corresponding information, a page turning operation of an operation interface corresponding to a shaking movement of the user, and the like may be set. Therefore, in the embodiment of the present application, analyzing the motion data and determining the turning radius matched with the motion data includes:
analyzing the motion data and acquiring a head action type corresponding to the motion data;
and if the head movement type is a head rotation type, acquiring a rotation radius.
It should be noted that, analyzing the motion data may match the collected motion data with the target data corresponding to the corresponding head action type, and if the current motion data is successfully matched with the target data corresponding to the corresponding head action type, the head action type corresponding to the motion data may be obtained. The motion data may be processed to obtain the motion angle data of the user at the first time, then obtain the motion angle data of the head of the user at the second time, and analyze the motion angle data of the head of the user at the second time to obtain the head motion type. Correspondingly, the head movement direction data can be collected to determine the head movement type, and the rotation radius is obtained only when the head movement type is the head rotation type. It should be noted that, in the embodiment of the present application, the head rotation type does not include a head shaking motion, it should be noted that a head shaking motion is a continuous motion of the head rotation in at least two directions, and the head rotation type corresponds to a change of the head in one direction corresponding to a previous time at a current time, and if the head of the user rotates from an angle perpendicular to a horizontal plane to an acute angle with the horizontal plane, it is proved that the current head motion of the user is the rotation type.
And if the head action type does not meet the head rotation type, determining a control instruction for the target equipment according to the head action type, so that the target equipment executes matched operation based on the control instruction. And if the head action of the user is of a nodding type, acquiring a control instruction corresponding to the nodding type, and if the control instruction is selection of the current gazing information of the user, controlling the target equipment to intercept and store the current gazing information of the user.
In the embodiment of the present application, the determining the target parameter based on the turning radius includes: based on the granularity data corresponding to the radius of rotation, a target parameter is determined. Wherein, the granularity data represents the refinement and the comprehensive degree of the data, and according to the data granularity refinement standard: the higher the refinement degree is, the smaller the granularity is; the lower the degree of refinement, the larger the particle size. Correspondingly, the larger the rotation radius is, the smaller the rotation radius is, the fine-grained numerical value corresponds to the target parameter, and the smaller the rotation radius is, the coarse-grained numerical value corresponds to the target parameter.
Specifically, the determining a target parameter based on the granularity data corresponding to the turning radius includes:
if the rotation radius is larger than the radius threshold, determining a target parameter based on a first granularity;
and if the turning radius is not larger than the radius threshold, determining a target parameter based on the second granularity.
The radius threshold may be determined according to an application scenario, or may be determined according to a head rotation habit of a user. The first granularity and the second granularity may be determined based on corresponding values that need to be selected in the application scenario. For example, in the application scenario of selecting time data, the number of selectable minutes includes 60, and the first granularity may be 10, that is, when the turning radius of the user is large, the set amplitude of the selected minutes is 10, and the second granularity may be 20, that is, when the turning radius of the user is small, the set amplitude of the selected minutes is 20. The method may be used to determine the corresponding minute setting is reached based on constant head rotation, or may be used to make precise minute selections after several head rotations are performed in combination with other settings.
Referring to fig. 2, which shows a schematic diagram of a head rotation mapping provided by an embodiment of the present application, in (a) in fig. 2, a user may perform a rotation through the head to implement a large-range value setting of a brick 360 degrees, that is, a radius of the head rotation corresponds to a speed of one rotation, and a smaller radius corresponds to a faster rotation, which is suitable for coarse-grained value switching, as shown in (b) in fig. 2, and a larger radius corresponds to a slower rotation, which is suitable for precise value selection, as shown in (c) in fig. 2. That is, in the embodiment of the present application, if the head motion type is the head rotation type, the obtaining of the rotation radius includes: mapping motion data corresponding to the head rotation to a target ring; based on the target ring shape, a radius of rotation is determined. The motion data comprises the head rotation direction, the angle and the speed, the corresponding motion data is matched with each ring, if the matching is successful, the ring which is successfully matched is determined to be a target ring, and then the rotation radius is determined according to the radius value corresponding to the ring.
Referring to fig. 3, another control method provided in the embodiment of the present application is shown, where the control method includes:
s201, acquiring motion data of the head of a user corresponding to target equipment;
s202, analyzing the motion data and determining a rotation radius matched with the motion data;
s203, analyzing the motion data to obtain the degree of head rotation;
s204, determining a parameter level based on the granularity data corresponding to the rotation radius;
s205, determining target parameters according to the parameter hierarchy and the head rotation degrees.
In this embodiment, a control method for accurately obtaining the target parameter is provided, after obtaining the motion data of the head of the user and determining the turning radius matched with the motion data. The motion data may be analyzed to obtain the degree of head rotation, and the degree of head rotation may be based on a preset plane, for example, the degree of rotation corresponding to a horizontal plane, or may be a degree corresponding to a previous motion on the head of the user. Based on the granularity data corresponding to the turning radius, a parameter level is determined, which refers to a precision level for selecting a numerical value, such as selecting high precision or low precision of the numerical value, and then selecting the numerical value corresponding to the degree of head rotation, i.e. the target parameter.
In another possible embodiment, determining the target parameter based on the granularity data corresponding to the turning radius includes:
determining a rotation angle and a rotation speed corresponding to the rotation radius;
determining granularity data based on the radius of rotation, the angle of rotation, and the speed of rotation;
and acquiring target parameters corresponding to the granularity data.
The rotation angle may include a positive direction and a negative direction, the positive direction may be a clockwise data setting, and the negative direction may be a counterclockwise data setting, for example, when the time is set, 10 minutes correspond to the current minute, if the rotation angle is based on a plane perpendicular to the horizontal plane, 10 minutes may be added to the current minute if the head rotation angle is 10 degrees, and 10 minutes may be reduced to the current minute if the head rotation angle is-10 degrees. The rate of one revolution is corresponded by the radius of the head revolution. The smaller the radius, the faster the rotation is, the more suitable the coarse grain switching value, and the larger the radius, the slower the rotation is, the more suitable the precision selection value.
Referring to fig. 4, taking an application scenario of time setting as an example, the types of the target device operable include time adjustment of a clock, and a control instruction for the target device is determined based on the head action type of the user, and when the head action type includes a rotation type, the adjustment accuracy of the clock time adjustment may also be determined according to the head rotation radius of the user. Specifically, the method comprises the following steps: the method comprises the steps of obtaining movement data of a user head corresponding to target equipment, analyzing the movement data, and if the head movement comprises nodding movement, adjusting time of a clock in communication connection with the movement equipment. And meanwhile, if the fact that the user rotates after nodding the head is analyzed, determining the adjustment precision according to the rotation radius of the head of the user, wherein the adjustment precision is a target parameter for adjusting and controlling the time of the clock. It should be noted that, while the adjustment accuracy is determined by combining the rotation radius of the head of the user, the adjustment accuracy may also be determined by combining the data range to be adjusted, for example, the range of minutes of the clock to be adjusted may be from 1 to 60, the range is relatively large, and the target parameter that can be determined based on the rotation radius, that is, the adjustment accuracy is relatively large; i.e. the same turning radius may differ in the corresponding target parameters during the minute and hour adjustments. The target device may then control the time adjustment of the clock based on the target parameter, in particular, after determining the target parameter, i.e. selecting the accuracy of the upper value, the selection of the particular value may be based on the degree of rotation of the user's head. For example, the rotation accuracy, i.e. the accuracy of determining the target parameter is 10-15 minutes, the target parameter may be specifically determined to be 12 minutes according to the rotation degree of the user.
The embodiment of the same sample application can also be used for adjusting and selecting the relevant numerical values of the birth year and month, that is, the measurement unit of the selected adjustment is determined according to the preset head motion, and it should be noted that the head motion corresponding to the selected measurement unit is different from the head rotation type corresponding to the adjustment precision. When adjusting the year, the target parameter, i.e. the adjustable accuracy range, can be determined based on the head turning radius, and then the turning angle and the turning speed are analyzed. If the head rotation is clockwise rotation, the target parameter of the year increase can be determined, and if the head rotation is counterclockwise rotation, the target parameter of the year decrease can be determined. When the numerical value of the year increment or the year decrement is adjusted, the target parameter of the adjustment of the year increment or the year decrement can be continuously increased or decreased during the continuous action of the head movement, or the control quantity can be increased or decreased by a preset gradient after the head movement which is completed once is acquired. The gradient is determined by the turning radius, or the turning radius can be combined with the turning angle, the turning speed and the like to determine comprehensively. The corresponding method can also be applied to an application scene of selecting the order quantity in the intelligent warehouse, namely the application scene of selecting and adjusting numerical values in a certain range can be realized.
In the embodiment of the application, the target parameters are determined through the rotating radius, so that a wider range of accurate value selection can be supported, and meanwhile, the accuracy value selection of small-amplitude head rotating operation is realized through the determination of the head rotating radius, so that the burden required by the operation is small. And the problem that the requirement on the environment is high due to the fact that parameter setting is carried out based on voice can be solved, so that the application range of the process for determining the parameters based on the turning radius is wider, and the stability is higher.
Referring to fig. 5, a control device provided in an embodiment of the present application is shown, where the device includes:
an acquisition unit 10 for acquiring motion data of a user's head corresponding to a target device;
the analysis unit 20 is used for analyzing the motion data and determining a rotation radius matched with the motion data;
a determining unit 30, configured to determine a target parameter based on the rotation radius, where the target parameter is a parameter for controlling information by the target device.
On the basis of the above embodiment, the parsing unit includes:
the first analysis subunit is used for analyzing the motion data to obtain a head action type corresponding to the motion data;
and the first acquisition subunit is used for acquiring the rotation radius if the head movement type is the head rotation type.
On the basis of the above embodiment, the apparatus further includes:
the first determining subunit is configured to determine, according to the head action type, a control instruction for the target device if the head action type does not satisfy the head rotation type, so that the target device executes a matching operation based on the control instruction.
On the basis of the above embodiment, the determining unit includes:
and the second determining subunit is used for determining the target parameter based on the granularity data corresponding to the turning radius.
On the basis of the foregoing embodiment, the second determining subunit is specifically configured to:
if the rotation radius is larger than the radius threshold, determining a target parameter based on a first granularity;
and if the turning radius is not larger than the radius threshold, determining a target parameter based on a second granularity.
On the basis of the foregoing embodiment, the first obtaining subunit is specifically configured to include:
mapping motion data corresponding to the head rotation to a target ring;
based on the target ring shape, a radius of rotation is determined.
On the basis of the foregoing embodiment, the second determining subunit is specifically configured to:
analyzing the motion data to obtain the degree of head rotation;
determining a parameter hierarchy based on the granularity data corresponding to the radius of rotation;
and determining a target parameter according to the parameter hierarchy and the head rotation degree.
On the basis of the above embodiment, the determining unit includes:
a third determining subunit, configured to determine a rotation angle and a rotation speed corresponding to the rotation radius;
a fourth determining subunit, configured to determine, based on the rotation radius, the rotation angle, and the rotation speed, granularity data;
and the second acquiring subunit is used for acquiring the target parameters corresponding to the granularity data.
Based on the foregoing embodiments, an embodiment of the present application provides an electronic device 20, where the electronic device 20 may be applied to any information processing method provided in the embodiment of the present application, and as shown in fig. 6, the electronic device 20 may include: a processor 201, a memory 202, and a communication bus 203, wherein:
the communication bus 203 is used to enable communication connections between the processor 201 and the memory 202.
The processor 201 is used to execute the program of the control method stored in the memory 202 to realize the following steps:
acquiring motion data of a user head corresponding to target equipment;
analyzing the motion data and determining a rotation radius matched with the motion data;
and determining a target parameter based on the rotation radius, wherein the target parameter is a parameter for controlling information by the target equipment.
In other embodiments of the present application, the processor 201 is configured to execute the steps of parsing the motion data stored in the memory 202 and determining a turning radius matching the motion data to implement:
analyzing the motion data to obtain a head action type corresponding to the motion data;
and if the head movement type is a head rotation type, acquiring a rotation radius.
In other embodiments of the present application, the processor 201 is configured to execute the control instruction stored in the memory 202 for determining the target device according to the head action type if the head action type does not satisfy the head rotation type, so that the target device executes a matching operation based on the control instruction.
In other embodiments of the present application, the processor 201 is configured to execute the target parameter determined based on the turning radius stored in the memory 202 to implement the following steps:
and determining a target parameter based on the granularity data corresponding to the turning radius.
In other embodiments of the present application, the processor 201 is configured to execute the granularity data corresponding to the turning radius stored in the memory 202 to determine the target parameter, so as to implement the following steps:
if the rotation radius is larger than the radius threshold, determining a target parameter based on a first granularity;
and if the turning radius is not larger than the radius threshold, determining a target parameter based on a second granularity.
In other embodiments of the present application, the processor 201 is configured to execute the following steps if the head action type stored in the memory 202 is a head rotation type, and obtain a rotation radius:
mapping motion data corresponding to the head rotation to a target ring;
based on the target ring shape, a radius of rotation is determined.
In other embodiments of the present application, the processor 201 is configured to execute the granularity data stored in the memory 202 and corresponding to the turning radius to determine the target parameter, so as to implement the following steps:
analyzing the motion data to obtain the degree of head rotation;
determining a parameter hierarchy based on the granularity data corresponding to the radius of rotation;
and determining a target parameter according to the parameter hierarchy and the head rotation degree.
In other embodiments of the present application, the processor 201 is configured to execute the granularity data corresponding to the turning radius stored in the memory 202 to determine the target parameter, so as to implement the following steps:
determining a rotation angle and a rotation speed corresponding to the rotation radius;
determining granularity data based on the radius of rotation, the angle of rotation, and the speed of rotation;
and acquiring target parameters corresponding to the granularity data.
The electronic equipment obtains the motion data of the head of the user corresponding to the target equipment, analyzes the motion data to obtain the corresponding rotation radius, determines the target parameter based on the rotation radius, and can control information for the target equipment through the target parameter. The target parameters are determined through the rotating radius of the head movement data of the user, the environmental requirements on target parameter equipment are reduced, the setting accuracy is improved, and therefore the control precision is improved.
Based on the foregoing embodiments, embodiments of the present application provide a computer-readable storage medium storing one or more programs, which are executable by one or more processors to implement the steps of the control method of any one of the above.
The Processor or the CPU may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller, and a microprocessor. It is understood that the electronic device implementing the above-mentioned processor function may be other electronic devices, and the embodiments of the present application are not particularly limited.
The computer storage medium/Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a magnetic Random Access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical Disc, or a Compact Disc Read-Only Memory (CD-ROM); but may also be various terminals such as mobile phones, computers, tablet devices, personal digital assistants, etc., that include one or any combination of the above-mentioned memories.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple 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 coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
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, that is, 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, all functional units in the embodiments of the present application may be integrated into one processing module, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit. Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media capable of storing program codes, such as a removable Memory device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The methods disclosed in the several method embodiments provided in the present application may be combined arbitrarily without conflict to obtain new method embodiments.
Features disclosed in several of the product embodiments provided in the present application may be combined in any combination to yield new product embodiments without conflict.
The features disclosed in the several method or apparatus embodiments provided in the present application may be combined arbitrarily, without conflict, to arrive at new method embodiments or apparatus embodiments.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. A control method, comprising:
acquiring motion data of a user head corresponding to target equipment;
analyzing the motion data and determining a rotation radius matched with the motion data;
determining a target parameter based on the rotation radius, wherein the target parameter is a parameter for controlling information by the target equipment;
the determining a target parameter based on the turning radius comprises:
and determining a target parameter based on the granularity data corresponding to the turning radius.
2. The method of claim 1, the parsing the motion data and determining a radius of rotation that matches the motion data, comprising:
analyzing the motion data to obtain a head action type corresponding to the motion data;
and if the head action type is a head rotation type, acquiring a rotation radius.
3. The method of claim 2, further comprising:
and if the head action type does not meet the head rotation type, determining a control instruction for the target equipment according to the head action type, so that the target equipment executes matched operation based on the control instruction.
4. The method of claim 1, the determining a target parameter based on the granular data corresponding to the radius of rotation, comprising:
if the rotation radius is larger than the radius threshold, determining a target parameter based on a first granularity;
and if the turning radius is not larger than the radius threshold, determining a target parameter based on a second granularity.
5. The method of claim 2, wherein if the head action type is a head rotation type, obtaining a rotation radius comprises:
mapping motion data corresponding to the head rotation to a target ring;
based on the target ring shape, a radius of rotation is determined.
6. The method of claim 1, wherein determining the target parameter based on the granularity data corresponding to the turning radius comprises:
analyzing the motion data to obtain the degree of head rotation;
determining a parameter hierarchy based on the granularity data corresponding to the radius of rotation;
and determining a target parameter according to the parameter hierarchy and the head rotation degree.
7. The method of claim 1, the determining a target parameter based on the granular data corresponding to the radius of rotation, comprising:
determining a rotation angle and a rotation speed corresponding to the rotation radius;
determining granularity data based on the radius of rotation, the angle of rotation, and the speed of rotation;
and acquiring target parameters corresponding to the granularity data.
8. A control device, comprising:
an acquisition unit configured to acquire motion data of a head of a user corresponding to a target device;
the analysis unit is used for analyzing the motion data and determining a rotation radius matched with the motion data;
the determining unit is used for determining a target parameter based on the rotating radius, wherein the target parameter is a parameter for controlling information by the target equipment;
the determining a target parameter based on the turning radius comprises: and determining a target parameter based on the granularity data corresponding to the turning radius.
9. An electronic device, comprising:
a memory for storing a program;
a processor configured to execute the program, the program specifically configured to:
acquiring motion data of a user head corresponding to target equipment;
analyzing the motion data and determining a rotation radius matched with the motion data;
determining a target parameter based on the rotation radius, wherein the target parameter is a parameter for controlling information by the target equipment;
the determining a target parameter based on the turning radius comprises: and determining a target parameter based on the granularity data corresponding to the turning radius.
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| KR20180043118A (en) * | 2016-10-19 | 2018-04-27 | 엘지전자 주식회사 | Head mounted display device |
| CN107290972B (en) * | 2017-07-05 | 2021-02-26 | 三星电子（中国）研发中心 | Equipment control method and device |
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