CN118012273A - Method and device for controlling intelligent watch based on x-axis as most active axis - Google Patents
Method and device for controlling intelligent watch based on x-axis as most active axis Download PDFInfo
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Abstract
A method and apparatus for controlling a smart watch based on an x-axis being a most active axis, comprising: collecting an original gesture signal, and preprocessing the original gesture signal to obtain a processed gesture signal; calculating a triaxial acceleration signal characteristic value according to the processed gesture signal, and judging whether the x-axis is the most active axis according to the triaxial acceleration signal characteristic value; setting a crossing point value, and judging whether an effective gesture exists according to the crossing point value and the signal change trend and interval of the x axis when the x axis is the most active axis; and operating the intelligent watch according to the effective gesture. Because the gesture recognition method and the gesture recognition device only need to use the triaxial acceleration sensor on hardware, and do not need to additionally configure hardware such as a gyroscope or a heart rate sensor, the cost is reduced, the power consumption is reduced, the complexity of an algorithm is reduced, and meanwhile, the defects that a large amount of storage space is occupied during program operation, single operation is extremely time-consuming and the like can be avoided.
Description
Technical Field
The application relates to intelligent safety wearable equipment, in particular to a method and a device for controlling an intelligent watch based on an x-axis as the most active axis.
Background
Along with the development of technology and the objective demands of wearing user groups, gesture recognition related applications gradually appear in the intelligent wearing field, such as the functions of receiving/hanging a phone, entering and exiting applications and the like by recognizing gestures of users such as fist making/releasing, finger rubbing, wrist turning and the like.
However, in recent years, gesture recognition in the field of intelligent wearing generally has some problems and disadvantages, for example, many gesture recognition technologies are realized by relying on various sensors, and besides a common triaxial acceleration sensor, hardware such as a gyroscope or a heart rate sensor needs to be additionally configured, which definitely increases the cost of products. Meanwhile, the power consumption of the additionally configured sensor is often an order of magnitude higher than that of the acceleration sensor, and the cruising of the electronic product is seriously influenced. In addition, the existing gesture recognition adopts a machine learning algorithm such as KNN and the like which is too complex, and the defects of occupying a large amount of storage space, consuming time for single operation and the like exist in actual application.
Disclosure of Invention
The application provides a method and a device for controlling a smart watch based on an x-axis as the most active axis.
According to a first aspect of the present application, the present application provides a method for controlling a smart watch based on an x-axis being a most active axis, comprising:
Collecting an original gesture signal, and preprocessing the original gesture signal to obtain a processed gesture signal;
setting an axis along the direction of the arm as a y axis, setting an axis vertical to the arm on the same horizontal plane as an x axis, setting an axis vertical to the arm in the vertical direction as a z axis, calculating a three-axis acceleration signal characteristic value according to the processed gesture signal, and judging whether the x axis is the most active axis according to the three-axis acceleration signal characteristic value;
setting a crossing point value, and judging whether an effective gesture exists according to the crossing point value and the signal change trend and interval of the x axis when the x axis is the most active axis;
And operating the intelligent watch according to the effective gesture.
The method comprises the steps that the triaxial acceleration signal characteristic value comprises a triaxial signal standard deviation;
The step of calculating a triaxial acceleration signal characteristic value according to the processed gesture signal, and judging whether an x-axis is the most active axis according to the triaxial acceleration signal characteristic value comprises the following steps:
the triaxial signal standard deviation is calculated by the following formula:
wherein S is the standard deviation of the triaxial signal, n is the total number of data points, Is the ith value point of x,/>Mean of all data;
And judging whether the standard deviation of the x-axis signal is the maximum value in the standard deviations of the triaxial signals and is larger than a preset standard deviation threshold, and if so, judging that the x-axis is the active axis.
According to the method, the crossing point value is set, when the x axis is the most active axis, whether an effective gesture exists or not is judged according to the crossing point value and the signal change trend and interval of the x axis, and the method comprises the following steps:
Setting a crossing point value, and sequentially detecting a signal value of a current point and a signal value of a previous point on an x-axis;
If the signal value of the current point is smaller than the crossing point value and the signal value of the previous point is larger than the crossing point value, the current point is a descending point, and the marked signal change value is-1;
if the signal value of the current point is larger than the crossing point value and the signal value of the previous point is smaller than the crossing point value, the current point is an ascending point, and the marked signal change value is 1;
and when the detected signal change trend meets-1, 1 and the interval between the rising point and the falling point is smaller than a preset time threshold, a valid gesture exists.
According to the method, the effective gesture comprises quick wrist turning once and quick wrist turning twice, and the signal change trend of the quick wrist turning once is as follows: -1,1; the signal change trend of the wrist is turned over twice rapidly is as follows: -1,1, -1,1.
The method for controlling the intelligent watch according to the effective gesture comprises the following steps: and controlling the intelligent watch to play music according to the effective gesture.
According to a second aspect of the present application, there is provided an apparatus for controlling a smart watch based on an x-axis as a most active axis, comprising:
The acquisition module is used for acquiring original gesture signals, preprocessing the original gesture signals and obtaining processed gesture signals;
The first judging module is used for setting an axis along the direction of the arm as a y axis, setting an axis vertical to the arm on the same horizontal plane as an x axis, setting an axis vertical to the arm in the vertical direction as a z axis, calculating a triaxial acceleration signal characteristic value according to the processed gesture signal, and judging whether the x axis is the most active axis according to the triaxial acceleration signal characteristic value;
The second judging module is used for setting a crossing point value, and judging whether an effective gesture exists or not according to the crossing point value and the signal change trend and interval of the x axis when the x axis is the most active axis;
and the processing module is used for operating the intelligent watch according to the effective gestures.
The device comprises a triaxial acceleration signal characteristic value, wherein the triaxial acceleration signal characteristic value comprises a triaxial signal standard deviation; the first judging module includes:
a calculation unit for calculating the triaxial signal standard deviation by the following formula:
wherein S is the standard deviation of the triaxial signal, n is the total number of data points, Is the ith value point of x,/>Mean of all data;
The first judging unit is used for judging whether the standard deviation of the x-axis signal is the maximum value in the standard deviations of the three-axis signals and is larger than a preset standard deviation threshold value, and if yes, the x-axis is the active axis.
The above device, the second judging module includes:
The detection unit is used for setting a crossing point value and sequentially detecting a signal value of a current point and a signal value of a previous point on the x-axis;
the first labeling unit is used for labeling a signal change value of-1 when the signal value of the current point is smaller than the crossing point value and the signal value of the previous point is larger than the crossing point value, and the current point is a descending point;
The second labeling unit is used for labeling that the signal value of the current point is greater than the crossing point value and the signal value of the previous point is smaller than the crossing point value, if the current point is an ascending point, the signal change value is 1;
and the second judging unit is used for judging that the effective gesture exists when the signal change trend is detected to meet the requirement of-1, 1 and the interval between the ascending point and the descending point is smaller than the preset time threshold value.
Above-mentioned device, effective gesture, including turning over the wrist once fast and turning over the wrist twice fast, the signal change trend that turns over the wrist once fast is: -1,1; the signal change trend of the wrist is turned over twice rapidly is as follows: -1,1, -1,1.
According to a third aspect of the present application, there is provided an apparatus for controlling a smart watch based on an x-axis being a most active axis, comprising:
A memory for storing a program,
And the processor is used for executing the program stored in the memory to realize the method.
Due to the adoption of the technical scheme, the application has the beneficial effects that:
The method and the device for controlling the intelligent watch based on the x-axis as the most active axis provided by the embodiment of the application comprise the following steps: collecting an original gesture signal, and preprocessing the original gesture signal to obtain a processed gesture signal; calculating a triaxial acceleration signal characteristic value according to the processed gesture signal, and judging whether the x-axis is the most active axis according to the triaxial acceleration signal characteristic value; setting a crossing point value, and judging whether an effective gesture exists according to the crossing point value and the signal change trend and interval of the x axis when the x axis is the most active axis; and operating the intelligent watch according to the effective gesture. The gesture recognition method only needs to use the triaxial acceleration sensor on hardware, and does not need to additionally configure hardware such as a gyroscope or a heart rate sensor, so that the cost is reduced, the power consumption is reduced, the complexity of an algorithm is reduced, and the defects that a large amount of storage space is occupied during program operation and single operation is extremely time-consuming are avoided.
Drawings
FIG. 1 is a flow chart of a method according to an embodiment of the application in one implementation;
FIG. 2 is a flow chart of a method according to an embodiment of the present application in another implementation;
FIG. 3 is a flow chart of a method according to an embodiment of the present application in yet another implementation;
FIG. 4 is a schematic diagram of a program module of an apparatus according to a second embodiment of the present application;
fig. 5 is a schematic diagram of a program module of an apparatus according to a second embodiment of the present application.
Detailed Description
The application will be described in further detail below with reference to the drawings by means of specific embodiments. Wherein like elements in different embodiments are numbered alike in association. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present application. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, related operations of the present application have not been shown or described in the specification in order to avoid obscuring the core portions of the present application, and may be unnecessary to persons skilled in the art from a detailed description of the related operations, which may be presented in the description and general knowledge of one skilled in the art.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
The numbering of the components itself, e.g. "first", "second", etc., is used herein merely to distinguish between the described objects and does not have any sequential or technical meaning.
In the embodiment of the application, a user wears the intelligent watch on the wrist, and the intelligent watch is provided with the triaxial acceleration sensor, wherein the triaxial acceleration sensor is internally provided with triaxial axes which are perpendicular to each other in pairs: an x-axis, a y-axis, and a z-axis. When the user correctly wears the intelligent watch and the screen of the intelligent watch is placed horizontally upwards, the axis along the direction of the arm is the y axis, the axis perpendicular to the arm on the same horizontal plane is the x axis, the axis perpendicular to the arm on the vertical direction is the z axis, and the intelligent watch is connected through the corresponding app on the mobile phone by Bluetooth.
Embodiment one:
As shown in fig. 1, a method for controlling a smart watch based on an x-axis as a most active axis according to an embodiment of the present application may include the following steps:
step 101: and acquiring an original gesture signal, and preprocessing the original gesture signal to obtain a processed gesture signal.
In one embodiment, the original gesture signal may be pre-processed using a filter. In this embodiment, a low-delay 4-order IIR filter may be specifically used to filter the collected original gesture signal, filter high-frequency noise, and reduce signal delay.
Step 102: and setting an axis along the direction of the arm as a y axis, setting an axis vertical to the arm on the same horizontal plane as an x axis, setting an axis vertical to the arm in the vertical direction as a z axis, calculating a triaxial acceleration signal characteristic value according to the processed gesture signal, and judging whether the x axis is the most active axis according to the triaxial acceleration signal characteristic value.
Step 103: and setting a crossing point value, and judging whether an effective gesture exists according to the crossing point value and the signal change trend and interval of the x axis when the x axis is the most active axis.
Step 104: and operating the intelligent watch according to the effective gesture. In one embodiment, operating the smart watch according to the active gesture includes controlling the smart watch to play music according to the active gesture.
The three-axis acceleration signal characteristic values may include a mean value, a standard deviation, a maximum value, and a minimum value, and in this embodiment, the three-axis acceleration signal characteristic values are described by taking the three-axis signal standard deviation as an example.
The method for controlling the intelligent watch based on the x-axis as the most active axis provided by the embodiment of the application can calculate the triaxial signal standard deviation through the following formula:
⑴
in equation ⑴, S is the standard deviation of the triaxial signal, n is the total number of data points, Is the ith value point of x,/>Is the average of all data.
In one embodiment, as shown in fig. 2, step 102 may specifically include the steps of:
Step 201: and calculating the standard deviation of the triaxial signals. The triaxial signal standard deviation may be specifically calculated using formula ⑴. The triaxial signal standard deviation may specifically include an x-axis signal standard deviation, a y-axis signal standard deviation, and a z-axis signal standard deviation.
Step 202: and judging whether the standard deviation of the x-axis signal is the maximum value in the standard deviations of the three-axis signals, wherein the standard deviation of the x-axis signal is larger than a preset standard deviation threshold value, and if so, the x-axis is an active axis.
The preset standard deviation threshold may be an empirical value, and may specifically be determined according to practical applications, for example, in this embodiment, the preset standard deviation threshold is 0.1×g, where G is a local gravitational acceleration value.
And comparing the standard deviation of the x-axis signal, the standard deviation of the y-axis signal and the standard deviation of the z-axis signal, and when the standard deviation of the x-axis signal is the maximum value among the three, and the standard deviation of the x-axis signal is larger than a preset standard deviation threshold value, taking the x-axis as an active axis.
In one embodiment, as shown in fig. 3, step 103 may specifically include the following steps:
step 301: and setting a crossing point value, and sequentially detecting a signal value of a current point and a signal value of a previous point on the x-axis.
The crossing point value may be an empirical value, associated with a local gravitational acceleration value G, and may be set to-c 1 x G, where-c 1 is a constant coefficient, and in one embodiment, may be specifically set to-0.6G. In another embodiment, the crossing point value may also be set as desired.
Step 302: if the signal value of the current point is smaller than the crossing point value and the signal value of the previous point is larger than the crossing point value, the current point is a descending point, and the marked signal change value is-1.
Step 303: if the signal value of the current point is larger than the crossing point value and the signal value of the previous point is smaller than the crossing point value, the current point is an ascending point, and the marked signal change value is 1.
Step 304: and when the detected signal change trend meets-1, 1 and the interval between the rising point and the falling point is smaller than a preset time threshold, a valid gesture exists.
The time threshold may be an empirical value, related to the sampling rate sample_acc of the three-axis acceleration sensor, and may be c2 sample_acc, where c2 is a constant coefficient, and in one embodiment, the time threshold is 0.6 sample_acc, where the sampling rate sample_acc of the three-axis acceleration sensor is 50hz. In another embodiment, the time threshold may also be set as desired.
In one embodiment, the effective gesture may include a quick turn and a quick turn, where the signal trend of the quick turn is: -1,1; the signal change trend of the wrist is turned over twice rapidly is as follows: -1,1, -1,1.
In one embodiment, when the smart watch detects that there is an effective gesture of turning the wrist rapidly, if the smart watch is in a state of playing music, a play pause command is executed, so that the smart watch is in a play pause state; if the intelligent watch is in a pause playing state, executing a continue playing command to enable the intelligent watch to continue playing music. When the intelligent watch detects an effective gesture of quickly turning the wrist twice, the intelligent watch plays the next piece of music.
Embodiment two:
As shown in fig. 4, an embodiment of the apparatus for controlling a smart watch based on an x-axis as a most active axis according to the second embodiment of the present application includes an acquisition module 410, a first judgment module 420, a second judgment module 430, and a processing module 440.
The acquisition module 410 is configured to acquire an original gesture signal, and perform preprocessing on the original gesture signal to obtain a processed gesture signal;
The first judging module 420 is configured to set an axis along the arm direction as a y-axis, an axis perpendicular to the arm in the same horizontal plane as an x-axis, and an axis perpendicular to the arm in the vertical direction as a z-axis, calculate a three-axis acceleration signal characteristic value according to the processed gesture signal, and judge whether the x-axis is the most active axis according to the three-axis acceleration signal characteristic value;
The second judging module 430 is configured to set a crossing point value, and judge whether an effective gesture exists according to the crossing point value and a signal variation trend and an interval of the x axis when the x axis is the most active axis;
and the processing module 440 is used for operating the intelligent watch according to the effective gesture.
As shown in fig. 5, another embodiment of the apparatus for controlling a smart watch based on an x-axis as a most active axis according to the present application includes an acquisition module 510, a first judgment module 520, a second judgment module 530, and a processing module 540.
The acquisition module 510 is configured to acquire an original gesture signal, and perform preprocessing on the original gesture signal to obtain a processed gesture signal.
In one embodiment, the original gesture signal may be pre-processed using a filter. In this embodiment, a low-delay 4-order IIR filter may be specifically used to filter the collected original gesture signal, filter high-frequency noise, and reduce signal delay.
The first determining module 520 is configured to set an axis along the arm direction as a y-axis, an axis perpendicular to the arm in the same horizontal plane as an x-axis, an axis perpendicular to the arm in the vertical direction as a z-axis, calculate a three-axis acceleration signal feature value according to the processed gesture signal, and determine whether the x-axis is the most active axis according to the three-axis acceleration signal feature value.
The three-axis acceleration signal characteristic values may include a mean value, a standard deviation, a maximum value, and a minimum value, and in this embodiment, the three-axis acceleration signal characteristic values are described by taking the three-axis signal standard deviation as an example.
In one embodiment, the first determination module 520 may include a calculation unit 521 and a first determination unit 522.
The device for controlling the intelligent watch based on the x-axis as the most active axis provided by the embodiment of the application can calculate the triaxial signal standard deviation through the following formula:
⑴
in equation ⑴, S is the standard deviation of the triaxial signal, n is the total number of data points, Is the ith value point of x,/>Is the average of all data.
A calculating unit 521 for calculating the standard deviation of the triaxial signal according to the formula ⑴.
The first determining unit 522 is configured to determine whether the standard deviation of the x-axis signal is the maximum value of the standard deviations of the three-axis signals and is greater than a preset standard deviation threshold, if yes, the x-axis is the active axis.
And comparing the standard deviation of the x-axis signal, the standard deviation of the y-axis signal and the standard deviation of the z-axis signal, and when the standard deviation of the x-axis signal is the maximum value among the three, and the standard deviation of the x-axis signal is larger than a preset standard deviation threshold value, taking the x-axis as an active axis.
The preset standard deviation threshold may be an empirical value, and may specifically be determined according to practical applications, for example, in this embodiment, the preset standard deviation threshold is 0.1×g, where G is a local gravitational acceleration value.
The second judging module 530 is configured to set a crossing point value, and judge whether an effective gesture exists according to the crossing point value and a signal variation trend and an interval of the x axis when the x axis is the most active axis.
In one embodiment, the second judging module 530 may include a detecting unit 531, a first labeling unit 532, a second labeling unit 533, and a second judging unit 534.
And the detection unit 531 is used for setting a crossing point value and sequentially detecting the signal value of the current point and the signal value of the previous point on the x axis.
The crossing point value may be an empirical value, associated with a local gravitational acceleration value G, and may be set to-c 1 G, where is a coefficient of-c 1, and in one embodiment, may be specifically set to-0.6G. In another embodiment, the crossing point value may also be set as desired.
The first labeling unit 532 is configured to label the current point as a falling point and a signal change value of-1 when the signal value of the current point is smaller than the crossing point value and the signal value of the previous point is greater than the crossing point value;
the second labeling unit 533 is configured to label the current point as an ascending point and a signal change value of 1 when the signal value of the current point is greater than the crossing point value and the signal value of the previous point is less than the crossing point value;
And a second judging unit 534, configured to judge that a valid gesture exists when the signal variation trend is detected to satisfy-1, 1 and the interval between the rising point and the falling point is smaller than the preset time threshold.
The time threshold may be an empirical value, related to the sampling rate sample_acc of the three-axis acceleration sensor, and may be c2 sample_acc, where c2 is a constant coefficient, and in one embodiment, the time threshold is 0.6 sample_acc, where the sampling rate sample_acc of the three-axis acceleration sensor is 50hz. In another embodiment, the time threshold may also be set as desired.
In one embodiment, the effective gesture may include a quick turn and a quick turn, where the signal trend of the quick turn is: -1,1; the signal change trend of the wrist is turned over twice rapidly is as follows: -1,1, -1,1.
The processing module 540 controls the smart watch to play music according to the effective gesture.
In one embodiment, when the smart watch detects that there is an effective gesture of turning the wrist rapidly, if the smart watch is in a state of playing music, a play pause command is executed, so that the smart watch is in a play pause state; if the intelligent watch is in a pause playing state, executing a continue playing command to enable the intelligent watch to continue playing music. When the intelligent watch detects an effective gesture of quickly turning the wrist twice, the intelligent watch plays the next piece of music.
Embodiment III:
The third embodiment of the application provides a device for controlling a smart watch to play music based on an x-axis being the most active axis, which comprises a memory and a processor.
A memory for storing a program;
A processor configured to implement the method in the first embodiment by executing a program stored in the memory.
Those skilled in the art will appreciate that all or part of the steps of the various methods in the above embodiments may be implemented by a program to instruct related hardware, and the program may be stored in a computer readable storage medium, where the storage medium may include: read-only memory, random access memory, magnetic or optical disk, etc.
The foregoing description of the invention has been presented for purposes of illustration and description, and is not intended to be limiting. Several simple deductions, modifications or substitutions may also be made by a person skilled in the art to which the invention pertains, based on the idea of the invention.
Claims (10)
1. A method for controlling a smart watch based on an x-axis being a most active axis, comprising:
Collecting an original gesture signal, and preprocessing the original gesture signal to obtain a processed gesture signal;
setting an axis along the direction of the arm as a y axis, setting an axis vertical to the arm on the same horizontal plane as an x axis, setting an axis vertical to the arm in the vertical direction as a z axis, calculating a three-axis acceleration signal characteristic value according to the processed gesture signal, and judging whether the x axis is the most active axis according to the three-axis acceleration signal characteristic value;
setting a crossing point value, and judging whether an effective gesture exists according to the crossing point value and the signal change trend and interval of the x axis when the x axis is the most active axis;
And operating the intelligent watch according to the effective gesture.
2. The method of claim 1, wherein the three-axis acceleration signal characteristic comprises a three-axis signal standard deviation;
The step of calculating a triaxial acceleration signal characteristic value according to the processed gesture signal, and judging whether an x-axis is the most active axis according to the triaxial acceleration signal characteristic value comprises the following steps:
the triaxial signal standard deviation is calculated by the following formula: wherein S is the standard deviation of the triaxial signal, n is the total number of data points,/> Is the ith value point of x,/>Mean of all data;
And judging whether the standard deviation of the x-axis signal is the maximum value in the standard deviations of the triaxial signals and is larger than a preset standard deviation threshold, and if so, judging that the x-axis is the active axis.
3. The method according to claim 2, wherein the setting the crossing point value, when the x-axis is the most active axis, and determining whether a valid gesture exists according to the crossing point value and the signal variation trend and interval of the x-axis comprises:
Setting a crossing point value, and sequentially detecting a signal value of a current point and a signal value of a previous point on an x-axis;
If the signal value of the current point is smaller than the crossing point value and the signal value of the previous point is larger than the crossing point value, the current point is a descending point, and the marked signal change value is-1;
if the signal value of the current point is larger than the crossing point value and the signal value of the previous point is smaller than the crossing point value, the current point is an ascending point, and the marked signal change value is 1;
and when the detected signal change trend meets-1, 1 and the interval between the rising point and the falling point is smaller than a preset time threshold, an effective gesture exists.
4. The method of claim 3, wherein the effective gesture comprises a quick wrist flip once and a quick wrist flip twice, and the signal change trend of the quick wrist flip once is: -1,1; the signal change trend of the wrist is turned over twice rapidly is as follows: -1,1, -1,1.
5. The method of claim 4, wherein controlling the smart watch according to the active gesture comprises: and controlling the intelligent watch to play music according to the effective gesture.
6. An apparatus for controlling a smart watch based on an x-axis being a most active axis, comprising:
The acquisition module is used for acquiring original gesture signals, preprocessing the original gesture signals and obtaining processed gesture signals;
The first judging module is used for setting an axis along the direction of the arm as a y axis, setting an axis vertical to the arm on the same horizontal plane as an x axis, setting an axis vertical to the arm in the vertical direction as a z axis, calculating a triaxial acceleration signal characteristic value according to the processed gesture signal, and judging whether the x axis is the most active axis according to the triaxial acceleration signal characteristic value;
The second judging module is used for setting a crossing point value, and judging whether an effective gesture exists or not according to the crossing point value and the signal change trend and interval of the x axis when the x axis is the most active axis;
and the processing module is used for operating the intelligent watch according to the effective gestures.
7. The apparatus of claim 6, wherein the three-axis acceleration signal characteristic comprises a three-axis signal standard deviation; the first judging module includes:
a calculation unit for calculating the triaxial signal standard deviation by the following formula: wherein S is the standard deviation of the triaxial signal, n is the total number of data points,/> Is the ith value point of x,/>Mean of all data;
The first judging unit is used for judging whether the standard deviation of the x-axis signal is the maximum value in the standard deviations of the three-axis signals and is larger than a preset standard deviation threshold value, and if yes, the x-axis is the active axis.
8. The apparatus of claim 7, wherein the second determining module comprises:
The detection unit is used for setting a crossing point value and sequentially detecting a signal value of a current point and a signal value of a previous point on the x-axis;
the first labeling unit is used for labeling a signal change value of-1 when the signal value of the current point is smaller than the crossing point value and the signal value of the previous point is larger than the crossing point value, and the current point is a descending point;
The second labeling unit is used for labeling that the signal value of the current point is greater than the crossing point value and the signal value of the previous point is smaller than the crossing point value, if the current point is an ascending point, the signal change value is 1;
and the second judging unit is used for judging that the effective gesture exists when the signal change trend is detected to meet the requirement of-1, 1 and the interval between the ascending point and the descending point is smaller than the preset time threshold value.
9. The apparatus of claim 8, wherein the active gesture comprises a quick flip and a quick flip, the signal trend of the quick flip is: -1,1; the signal change trend of the wrist is turned over twice rapidly is as follows: -1,1, -1,1.
10. An apparatus for controlling a smart watch based on an x-axis being a most active axis, comprising:
A memory for storing a program,
A processor for executing a program stored in the memory to implement the method of any one of claims 1-5.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110850988A (en) * | 2019-12-02 | 2020-02-28 | 合肥工业大学 | System and method for preventing interference and wrist lifting and screen lighting |
| CN112631427A (en) * | 2020-12-21 | 2021-04-09 | 深圳市爱都科技有限公司 | Method and device for processing communication information, intelligent wearable device and storage medium |
| CN114298105A (en) * | 2021-12-29 | 2022-04-08 | 东莞市猎声电子科技有限公司 | Signal processing method for quickly responding to wrist lifting action and brightening screen in running process |
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2024
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| CN106292871A (en) * | 2016-08-01 | 2017-01-04 | 广东乐源数字技术有限公司 | A kind of Intelligent bracelet realizing turning wrist bright screen |
| CN106227355A (en) * | 2016-09-09 | 2016-12-14 | 广东乐源数字技术有限公司 | A kind of Intelligent bracelet of the bright screen that realizes raising one's hand |
| CN110850988A (en) * | 2019-12-02 | 2020-02-28 | 合肥工业大学 | System and method for preventing interference and wrist lifting and screen lighting |
| CN112631427A (en) * | 2020-12-21 | 2021-04-09 | 深圳市爱都科技有限公司 | Method and device for processing communication information, intelligent wearable device and storage medium |
| CN114298105A (en) * | 2021-12-29 | 2022-04-08 | 东莞市猎声电子科技有限公司 | Signal processing method for quickly responding to wrist lifting action and brightening screen in running process |
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