CN219782545U - Wearable equipment - Google Patents
Wearable equipment Download PDFInfo
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- CN219782545U CN219782545U CN202220022249.2U CN202220022249U CN219782545U CN 219782545 U CN219782545 U CN 219782545U CN 202220022249 U CN202220022249 U CN 202220022249U CN 219782545 U CN219782545 U CN 219782545U
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- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The utility model discloses a wearable device. The wearable device according to the embodiment of the utility model comprises a wearing body; the detection device is arranged on the wearing main body and comprises a motion sensor used for acquiring motion data of the target object; and the data processing unit is electrically connected with the motion sensor to acquire the motion data and obtain motion state information according to the motion data. According to the wearable device provided by the embodiment of the utility model, the motion data of the target object can be accurately acquired, and more accurate and rich information can be obtained through analysis.
Description
Technical Field
The utility model relates to the technical field of intelligent wearable equipment, in particular to wearable equipment.
Background
In recent years, intelligent wearable devices are becoming popular among users because of their easy wearing, convenience for users to use at any time, and the like. At present, intelligent wearing equipment with different forms such as glasses, bracelets, gloves and armbands exist. The user can acquire information such as physical state data, movement conditions and the like through the intelligent equipment.
In the prior art, the intelligent wearable equipment often has the problems of inaccurate acquired information, single function, unstable wearing and the like, so that the use experience of a user is poor.
It is therefore desirable to have a new wearable device that solves the above-mentioned problems.
Disclosure of Invention
In view of the above problems, an object of the present utility model is to provide a wearable device, so as to accurately obtain motion data of a target object, and further analyze and obtain more accurate and rich information.
According to an aspect of the present utility model, there is provided a wearable apparatus, characterized by comprising a wearing body; the detection device is arranged on the wearing main body and comprises a motion sensor for acquiring motion data of a target object; and the data processing unit is electrically connected with the motion sensor to acquire the motion data and obtain motion state information according to the motion data.
Preferably, the detection device further comprises a processor, acquires the motion data, and performs arithmetic processing on the motion data.
Preferably, the processor determines the action type of the target object from the motion data.
Preferably, the detection device further comprises a potential detection unit for acquiring potential information of the target object, wherein the processor obtains physical state data of the target object according to the potential information.
Preferably, the detecting device further comprises a pressure sensor for collecting stress information, wherein the processor obtains grip strength information of the target object according to the stress information.
Preferably, the wearing body is a glove; the detection device is arranged at the back of the hand of the glove and/or at the back of the wrist.
Preferably, the wearing body is at least one of a glove, an armband, and a wristband.
Preferably, the motion sensor is a three-axis sensor or a six-axis sensor or a nine-axis sensor.
Preferably, the detection device further comprises a communication unit connected with external terminal equipment for information interaction.
Preferably, the detection device further comprises an encapsulation housing; the detection device is integrally packaged; the wearing main body is detachably connected with the detection device.
Preferably, the detection device further comprises a light detector; the optical detector comprises a light source, and provides detection light for the target object, wherein the detection light is reflected by the target object to obtain reflected light; and a receiving unit for receiving the reflected light and performing operation processing on the reflected light to obtain physical state data.
According to the wearable equipment provided by the embodiment of the utility model, the motion sensor is arranged, so that the motion information of the target object can be accurately and comprehensively acquired, and more accurate and rich information can be further obtained.
According to the wearable equipment provided by the embodiment of the utility model, the wearing main body is at least one of a glove, an armband and a wrist strap, the detection device is arranged between the wearing main body and the target object, the wearing is firm, and the detection data is more accurate.
According to the wearable device provided by the embodiment of the utility model, various sensors are integrated, and various information can be acquired, so that the multifunctional purposes such as human body signal monitoring, strength training, emotion management and the like are realized.
According to the wearable equipment provided by the embodiment of the utility model, the detection device is integrally packaged, and is detachably connected with the wearing main body, so that the use and the detachment are convenient.
Drawings
The above and other objects, features and advantages of the present utility model will become more apparent from the following description of embodiments of the present utility model with reference to the accompanying drawings, in which:
fig. 1 shows a schematic structural diagram of a wearable device according to an embodiment of the utility model;
fig. 2 shows a schematic view of a device of a wearing body according to an embodiment of the present utility model;
fig. 3 shows a schematic structural diagram of a detection device according to an embodiment of the present utility model;
fig. 4 shows a schematic structural diagram of a photodetector according to an embodiment of the utility model.
Detailed Description
Various embodiments of the present utility model will be described in more detail below with reference to the accompanying drawings. The same reference numbers will be used throughout the drawings to refer to the same or like parts. For clarity, the various features of the drawings are not drawn to scale. Furthermore, some well-known portions may not be shown in the drawings.
The following describes in further detail the embodiments of the present utility model with reference to the drawings and examples. Numerous specific details of the utility model, such as construction, materials, dimensions, processing techniques and technologies, may be set forth in the following description in order to provide a thorough understanding of the utility model. However, as will be understood by those skilled in the art, the present utility model may be practiced without these specific details.
It will be understood that when a layer, an area, or a structure is described as being "on" or "over" another layer, another area, it can be referred to as being directly on the other layer, another area, or another layer or area can be included between the layer and the other layer, another area. And if the component is turned over, that layer, one region, will be "under" or "beneath" the other layer, another region.
Fig. 1 shows a schematic structural diagram of a wearable device according to an embodiment of the utility model. As shown in fig. 1, the wearable apparatus according to the embodiment of the present utility model includes a wearing body 100 and a detection device. Wherein the detection means comprise a motion sensor 201 and a data processing unit (not shown in the figures).
Specifically, the detection device is provided to the wearing body 100; the detection device collects motion data of the target object. Alternatively, the wearing body 100 is, for example, a wristband, glove, armband, wristband, glasses, sock, or the like. The target object is, for example, a person.
The motion sensor 201 is used to acquire motion data of a target object.
The data processing unit is electrically connected to the motion sensor 201 to obtain motion data and to obtain motion state information from the motion data.
In an alternative embodiment of the utility model, the detection device further comprises a processor. The processor acquires the motion data and performs operation processing on the motion data. Optionally, the processor performs an arithmetic process on the motion data to obtain the instruction information. The guiding information guides the movement of the target object.
Alternatively, the motion sensor 201 includes a three-axis sensor, i.e., a three-axis accelerometer (acceleration sensor); the data measured by the triaxial sensor can be decomposed into X, Y, Z forces in three directions in a space coordinate system for acquiring triaxial acceleration data of the target object. The processor performs an arithmetic process on the triaxial acceleration data of the target object, for example, determines the running speed, running stride, etc. of the target object based on the triaxial acceleration data. Optionally, the wearable device comprises boxing gloves for boxing training, and the processor determines boxing force, boxing speed and the like of the target object according to the three-axis acceleration sensor.
Alternatively, the motion sensor 201 comprises a six-axis sensor, namely the three-axis accelerometer and three-axis gyroscope described above. The data measured by the three-axis gyroscope can be decomposed into X, Y, Z forces in three directions in a space coordinate system, and the forces are used for acquiring three-axis angular velocity data of a target object. The processor performs operation processing on the triaxial acceleration data and the triaxial angular velocity data of the target object, for example, determines the action type of the target object in the video body-building game according to the triaxial acceleration data (motion data), recognizes that the target object is running, jumping and other actions, and can evaluate and correct the action accuracy and the like. The triaxial gyroscope is a microelectronic element, and changes the circuit state by utilizing the coriolis force and the motion deviation of a vibrator in a rotating system, which continuously vibrates, and causes the change of related electrical parameters, so that the motion conditions of the target object such as tilting left and right, tilting front and back, swaying left and right and the like can be reflected. Alternatively, the tri-axial gyroscope is a mechanical gyroscope comprising a rotor and three "steel rings" located outside the rotor. The middle rotor is not affected by inertia in the motion of the whole instrument; the three peripheral steel rings are changed due to the change of the posture of the equipment, so that the current rotation state of the target object can be detected.
Alternatively, the motion sensor 201 comprises nine-axis sensors, namely the six-axis sensor and the three-axis magnetometer described above. The data measured by the three axis magnetometer can be decomposed into X, Y, Z three directional axis forces in the spatial coordinate system. The triaxial accelerometer and the triaxial gyroscope can generate accumulated deviation along with long-time movement, and the movement gesture cannot be accurately described. The triaxial magnetometer utilizes the measurement of the earth magnetic field, and performs correction and compensation through an absolute pointing function, so that the accumulated deviation can be effectively solved, and the movement direction, the attitude angle, the movement force, the speed and the like of the target object are corrected. Optionally, the processor performs an operation process on the three-axis acceleration data, the three-axis angular velocity data, and the three-axis magnetic field data of the target object, for example, determines a movement velocity, a movement posture, and the like of the target object during long-distance running according to the acquired movement data.
In an alternative embodiment of the utility model, the detection device 200 further comprises a pressure sensor. The pressure sensor is used for collecting stress information. And the processor obtains grip strength information of the target object according to the stress information. The target object wears the wearable equipment comprising the pressure sensor, and when the gymnasium carries out grip training, snatch training, can detect grip strength size etc..
Fig. 2 shows a schematic view of a device of a wearing body according to an embodiment of the present utility model. As shown in fig. 2, the wearing body 100 according to the embodiment of the present utility model is a glove (mitt).
In particular, the detection means are located at the back of the hand position 101 and/or the back of the wrist 102 of the glove. Optionally, the detection means is located between the glove and the target object.
In the embodiment of the utility model, the detection device is combined with the wearing main body such as the glove, the armband, the wrist strap and the like, so that the problem of wearing relaxation is solved, the detection device is tightly matched with a target object, and the accurate measurement of heart rate, blood oxygen, blood pressure and the like can be ensured.
Fig. 3 shows a schematic structural diagram of a detection device according to an embodiment of the present utility model. The detection device 200 according to an embodiment of the present utility model as shown in fig. 3 includes a motion sensor 201, a processor 202, a communication unit 203, and a package housing 204.
Specifically, the motion sensor 201 is configured to acquire motion data of a target object, the acquired motion data including triaxial acceleration data, triaxial angular velocity data, and triaxial magnetic field data.
The processor 202 acquires physical state data and performs arithmetic processing on the physical state data. The processor 202 obtains desired information by arithmetic processing of the physical state data.
In an alternative embodiment of the present utility model, the detection device 200 further includes a heart rate meter, an oximeter, a blood pressure meter, etc. for monitoring the heart rate, blood oxygen, blood pressure, etc. of the target object.
In an alternative embodiment of the utility model, the detection device 200 further comprises a potential detection unit. The potential detection unit acquires potential information of the target object. The processor obtains physical state data of the target object according to the potential information, for example, obtains the water shortage state of the target object, and the like, so that the human drinking water management is finished. The potential detecting unit includes, for example, two electrode pieces that detect the potential of the human body. Optionally, the detection device 200 further comprises a stress monitoring system, which can pertinently guide the relaxation training (according to the guiding information) according to the emotion and stress condition of the human body.
In the above-described embodiments of the present utility model, the wearing body includes, but is not limited to, forms of gloves, armbands, wristbands, and the like, and incorporates the detection device. Any target object can track own physical conditions including heart rate, blood oxygen, blood pressure, whether the body is deficient or not and the like in real time when wearing the wearable device.
In an alternative embodiment of the utility model, processor 202 obtains instructional information based on the athletic performance information. Optionally, processor 202 determines a type of motion of the target object from the motion data, such as motion recognition for a fitness game. Further, the processor 202 provides instructional information to instruct the exercise game (exercise) of the target subject. For example, in a fitness game, the processor 202 recognizes that the action of the target object is a jump, but the height of the jump is insufficient, and the processor 202 feeds back instruction information of "jump some". Also for example, in boxing training, the processor 202 recognizes that the speed of the punch of the target object is not fast enough, and the processor 202 feeds back the instruction information of "punch fast". For another example, the processor 202 recognizes that the target object is in a water-deficient state, and the processor 202 feeds back a guidance message "please replenish water". In the above-described embodiments of the present utility model, the processor 202 may give some guidance, advice, or pushing of training actions, etc., of the fitness training based on the physical state.
In an alternative embodiment of the utility model, the detection device 200 or the processor 202 further comprises a data processing unit. The data processing unit is connected to the motion sensor 201 to obtain motion data and to obtain motion state information, such as a motion amplitude, a motion gesture, etc., of the target object based on the motion data. Further, guidance information may be provided to guide the target object to maintain or adjust the motion amplitude, motion pose, etc.
The communication unit 203 is connected to an external terminal device for information interaction. The communication unit 203 is, for example, a wireless antenna. Parameters are displayed, for example, on the external terminal device.
The detection device 200 is an integrated package, i.e. the package housing 204 is located outside the motion sensor 201, the processor, the communication unit 203, and other parts. Alternatively, the detection device 200 has a higher integration level. Optionally, the wearing body is detachably connected to the detecting device 200, and the packaging shell 204 is provided with a buckle, and the buckle is in buckle connection with the wearing body.
In the above-described embodiments of the present utility model, the wearable apparatus includes two parts of the wearing body and the detection device (electronic structure). The detection device is arranged on the back of the wearing main body, so that the detection device is convenient to assemble and disassemble, and the wearing main body part can be washed with water; the detection device adopts integrated packaging, adopts a buckling and fixing mode with the wearing main body, and is flexibly assembled and disassembled; the detection device supports wireless transmission with terminal equipment such as mobile phones, and related technologies include, but are not limited to, bluetooth and wifi transmission.
According to the wearable equipment provided by the embodiment of the utility model, the detection device can be 2-3cm in size, and almost no sense can be realized when the detection device is integrated in a wearable product, so that the bright spots and the technological sense of traditional products such as gloves, armbands and wristbands are increased while the experience of customers is not influenced; the wearing main body and the position of the detection device are selected, so that the wearing relaxation problem is solved, and the heart rate, blood oxygen and blood pressure in the exercise process can be accurately tested; the communication unit is integrated, and data can be transmitted at the mobile phone end, the television box and other terminal equipment.
Fig. 4 shows a schematic structural diagram of a photodetector according to an embodiment of the utility model. FIG. 4a shows a schematic structural diagram of a photodetector; fig. 4b shows a schematic structural diagram of another photodetector. As shown in fig. 4, the light detector 205 according to an embodiment of the present utility model includes a light source 2051 and a receiving unit 2052. The light source 2051 supplies probe light to the target object, and the probe light is reflected by the target object to obtain reflected light. The receiving unit 2052 receives the reflected light, and performs arithmetic processing on the reflected light to obtain physical state data. The light detector 205 may also be referred to as a PPG sensor.
Specifically, photoplethysmography (Photo Plethysmo Graphy, PPG) is based on a (LED) light source 2051 and a receiving unit 2052, and measures attenuated light reflected and absorbed by a blood vessel and tissue of a human body, records the pulse state of the blood vessel, and measures pulse waves.
As shown in fig. 4, the light source 2051 includes two Light Emitting Diodes (LEDs), and the light source 2051 irradiates light waves into the inside of the skin of the target object. The receiving unit 2052 captures light reflected through the inside of the skin of the target object, and converts the captured analog signal into a digital signal for calculation to obtain required data.
The principle of operation of the light detector 205 is as follows: when the LED light is directed toward the skin, the light reflected back through the skin tissue is received by the photosensor and converted to an electrical signal, which is then converted to a digital signal by AD. The absorption of light like muscles, bones, veins etc. is substantially unchanged, but the absorption of light naturally also changes due to the blood flow in the arteries. When light is converted into an electric signal, the absorption of the light by the artery is changed, and the absorption of the light by other tissues is basically unchanged, so that the obtained signals can be divided into direct current, alternating current, AC, signals and DC signals. The AC signal is extracted to reflect the blood flow characteristic. According to the characteristics of blood flow, heart rate detection, blood oxygen detection, blood pressure detection and the like can be realized.
In the above-described embodiments of the present utility model, the detection device integrates a PPG sensor, a 9-axis sensor, a pressure sensor, etc., for acquiring signals of the body; a processor (central control chip) and a communication unit (wireless transmission chip) are integrated for processing and transmitting signals.
It should be noted that in this document relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Embodiments in accordance with the present utility model, as described above, are not intended to be exhaustive or to limit the utility model to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the utility model and the practical application, to thereby enable others skilled in the art to best utilize the utility model and various modifications as are suited to the particular use contemplated. The utility model is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. A wearable device, comprising:
a wearing body; and
the detection device is arranged on the wearing main body,
wherein, the detection device includes:
the motion sensor is used for collecting motion data of a target object and is a three-axis sensor or a six-axis sensor or a nine-axis sensor;
the data processing unit is electrically connected with the motion sensor to acquire the motion data and acquire motion state information according to the motion data;
the detection device further comprises a packaging shell, and the detection device is integrally packaged.
2. The wearable device of claim 1, wherein the detecting means further comprises:
and the processor is used for acquiring the motion data and carrying out operation processing on the motion data.
3. The wearable device of claim 2, wherein the processor determines the type of action of the target object from the motion data.
4. The wearable device of claim 2, wherein the detecting means further comprises:
a potential detection unit that acquires potential information of the target object,
and the processor obtains physical state data of the target object according to the potential information.
5. The wearable device of claim 2, wherein the detecting means further comprises:
the pressure sensor is used for collecting stress information,
and the processor obtains grip strength information of the target object according to the stress information.
6. The wearable device of claim 1, wherein the wearing body is a glove;
the detection device is arranged at the back of the hand of the glove and/or at the back of the wrist.
7. The wearable device of claim 1, wherein the wearable body is at least one of a glove, an armband, a wristband.
8. The wearable device according to any of claims 1 to 7, wherein the detection means further comprises:
and the communication unit is connected with the external terminal equipment to perform information interaction.
9. The wearable device according to any of claims 1 to 7, wherein the wearable body is detachably connected to the detection means.
10. The wearable device according to any of claims 1 to 7, wherein the detection means further comprises a light detector; the photodetector includes:
a light source for providing detection light to the target object, wherein the detection light is reflected by the target object to obtain reflected light; and
and the receiving unit is used for receiving the reflected light and carrying out operation processing on the reflected light to obtain physical state data.
Priority Applications (1)
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CN202220022249.2U CN219782545U (en) | 2022-01-06 | 2022-01-06 | Wearable equipment |
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CN202220022249.2U CN219782545U (en) | 2022-01-06 | 2022-01-06 | Wearable equipment |
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CN219782545U true CN219782545U (en) | 2023-10-03 |
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CN202220022249.2U Active CN219782545U (en) | 2022-01-06 | 2022-01-06 | Wearable equipment |
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