CN116469223A

CN116469223A - Multi-point anti-falling detection and control device and method

Info

Publication number: CN116469223A
Application number: CN202310414213.8A
Authority: CN
Inventors: 刘斌
Original assignee: Nanjing Yufeng Intelligent Technology Co ltd
Current assignee: Nanjing Yufeng Intelligent Technology Co ltd
Priority date: 2023-04-14
Filing date: 2023-04-14
Publication date: 2023-07-21

Abstract

The invention discloses a multi-point anti-falling detection and control device and method, which can effectively identify falling actions of a human body and send out instructions, and relates to the field of anti-falling intelligent protection of old people. In one aspect of the invention, the multi-point anti-drop detection and control device is composed of at least two gesture detection units (comprising a sensor, an information acquisition module, an information transmission module, a positioning module and the like, wherein the positioning module is an optional module), a central control calculation unit (electronic components such as a built-in information transmission module, an information processing module, a power supply and the like, hereinafter referred to as CPU), an execution unit (comprising an inflation module and an air bag) and an alarm unit (comprising an alarm module and a positioning module), wherein the alarm unit is an optional component. The sensor of the gesture detection unit may be any one of a gyroscope, an acceleration sensor, a height sensor, a pressure sensor, or a plurality of hybrid combinations. In another aspect of the present invention, a method for processing a multi-point anti-falling detection and control device is provided, where the multi-point anti-falling detection and control device is used for analyzing and judging whether a user falls according to gesture information provided by each gesture detection unit, so as to make a corresponding response. Therefore, the misjudgment on the falling condition of the user can be obviously reduced, the misjudgment rate is reduced by more than 90%, and the detection speed is higher.

Description

Multi-point anti-falling detection and control device and method

Technical Field

The invention discloses a multi-point anti-falling detection and control device and method, which can effectively identify falling actions of a human body and send out instructions, and relates to the field of anti-falling intelligent protection of old people.

Technical Field

With the stage of gradually getting into an aging society in China, the number of the aged is more and more in the proportion of the whole population, and the falling injury becomes a great feature of the health turning point of the aged. Numerous products for protecting the elderly from falling and injury, such as fall-proof waistbands, fall-proof waistcoats, fall-proof caps and the like, are also appeared in society. In these products, an acceleration sensor, a gyroscope and other modes are arranged at the waist of a user to detect the inclination of the user in the vertical direction, the inclination rate and other indexes so as to judge whether the user falls down or not.

However, the products can protect a part of the aged who falls truly, and the misjudgment of the product on the posture of the user can also cause verification trouble to the user, such as misjudgment of the user sitting on a toilet, sitting on a deck chair or even riding on a car to run up or down, as the user falls down. The false judgments make the products become chicken rib products in the hands of consumers, so that how to make the products effectively detect the true postures of users, thereby not only enhancing the protection of the users against falling, but also greatly reducing the probability of false judgments.

Disclosure of Invention

In one aspect of the invention, the multi-point anti-drop detection and control device is composed of at least two gesture detection units (comprising a sensor, an information acquisition module, an information transmission module, a positioning module and the like, wherein the positioning module is an optional module), a central control calculation unit (electronic components such as a built-in information transmission module, an information processing module, a power supply and the like, hereinafter referred to as a CPU), an execution unit (comprising an inflation module and an air bag) and an alarm unit (comprising an alarm module and a positioning module), wherein the alarm unit is an optional component. The sensor of the gesture detection unit may be any one of a gyroscope, an acceleration sensor, a height sensor, a pressure sensor, or a plurality of hybrid combinations.

The multiple groups of gesture detection units are distributed at different parts of the human body in a buckling, binding, embedding and other modes, wherein at least one gesture detection unit is arranged on the foot below the ankle joint, and at least one gesture detection unit is arranged on the part above the ankle joint of the human body. The gesture detection units collect gesture information (such as inclination angle delta A, height change delta H, inclination angle change rate delta omega and the like in each interval time (threshold) of the corresponding human body part, and the collected information is transmitted to the CPU in real time through the information transmission module. The information may be transmitted by wire harness, bluetooth, wiFi, infrared, band, GSM, or any combination thereof.

The CPU may match the body parts detected by the posture detecting units according to the distance difference between the posture sensors and the CPU may correspond to the body part information detected by the posture detecting units according to the compiling manner of the information sent by the posture detecting units. (e.g., the information from the foot-mounted position sensing unit is compiled as a, the information from the waist-mounted position sensing unit is compiled as B), the body parts corresponding to the gesture detection units can be distinguished in an information transmission mode, for example, the gesture detection units arranged at the waist part are transmitted through a circuit, and the gesture detection units arranged at the feet part are transmitted through Bluetooth. But may be any combination of the various ways mentioned above.

The CPU comprehensively analyzes the information input by each gesture detection unit by using a preset algorithm (threshold), and when the information meets the preset requirement (threshold), the CPU determines that the user is in a falling state, and immediately sends an instruction to the execution unit to make the execution unit perform protection measures. The instruction may be transmitted by wire harness, bluetooth, wiFi, infrared, band, GSM, or any combination thereof. The form of the instruction includes, but is not limited to, opening/closing the circuit, transmitting encoded information, and the like.

The execution unit receives the instruction sent by the CPU and immediately starts the inflation module to inflate the air bag. The inflation module can be any one of a high-pressure gas bottle, a gas generator or a mixture of the two. The air bag is pre-positioned (which may be integrated into a wearing garment such as a waistcoat, waist belt, hat, etc.) in the area where protection of the user is desired, such as the crotch, shoulders, head, etc.

In some embodiments, the device employs two independent gesture detection units, one disposed below and one above the ankle joint of the user.

In some embodiments, the device employs three independent gesture detection units, two of which are distributed below the user's left and right ankle, respectively, and one of which is positioned above the user's ankle joint, such as the waist.

In some embodiments, multiple sets of gesture detection units may add information processing modules to some or all of the gesture detection units in addition to the modules described above. Therefore, the analysis of the posture information of the corresponding part is realized, and only the dangerous information (such as the inclination angle delta A which is more than or equal to 15 degrees in each interval time (threshold value) or the body part posture characteristics when the human body falls, such as the height change delta H which is more than or equal to 10mm, is transmitted to the CPU, so that the CPU only analyzes and processes the data of the dangerous information, and the multi-point anti-falling detection and control device has faster and more accurate response.

In another aspect of the present invention, there is also provided a method for processing a multi-point anti-falling detection and control device, for analyzing and judging whether a user falls according to gesture information provided by each gesture detection unit, so as to make a corresponding response, the method comprising: the multi-point anti-falling detection and control device comprises a gesture detection unit A (comprising a sensor, an information acquisition module, an information transmission module and the like, wherein a positioning module is an optional module), a gesture detection unit B (comprising a sensor, an information acquisition module, an information transmission module and the like, wherein the positioning module is an optional module), a central control calculation unit (built-in information transmission module, an information processing module, a power supply and other electronic components, hereinafter called CPU for short), an execution unit (comprising an inflation module and an air bag) and an alarm unit (comprising an alarm module and a positioning module), wherein the alarm unit is an optional component, and the sensor can be any one of a gyroscope, an acceleration sensor, a height sensor, a pressure sensor and a plurality of mixed combinations.

Further, the posture detecting unit a is disposed at a position below the ankle of the user, detects the behavior information of the foot of the user (such as the inclination angle Δa1, the height change Δh1, the inclination angle change rate Δω1) within each interval time (threshold) and transmits them to the CPU in real time, and the posture detecting unit B detects the behavior information of the torso of the user (such as the inclination angle Δa2, the height change Δh2, the inclination angle change rate Δω2) disposed at a position above the ankle of the user (such as the leg, the waist, etc.) and transmits them to the CPU in real time.

The CPU judges whether the user falls down or not according to preset characteristics (a threshold value is considered to be effective falling if the unit time delta A1 is more than or equal to 15 degrees and delta A2 is more than or equal to 30 degrees, and the unit time delta A1 is less than or equal to 5 degrees and is considered to be normal, the simplified algorithm is only used for assisting in understanding the implementation mode, the built-in judging algorithm of the CPU does not claim the built-in judging algorithm of the CPU, and the CPU determines whether to send an instruction to the execution unit or not.

And after receiving the information, the execution unit immediately enables the inflation module to inflate the air bag. So that the air bag can buffer the impact injury suffered by the user at the moment of touching the ground by the user, thereby achieving the purpose of protecting the key parts (such as the head, the shoulder, the crotch and the like) of the user.

The alarm unit sends alarm information and positioning information to a designated receiving unit (such as a guardian) immediately after receiving the information.

In some embodiments the method may further comprise: the multi-point anti-drop detection and control device comprises a gesture detection unit A (comprising a sensor, an information acquisition module, an information transmission module and the like, wherein a positioning module is an optional module), a gesture detection unit B (comprising a sensor, an information acquisition module, an information transmission module and the like, wherein the positioning module is an optional module), a gesture detection unit C (comprising a sensor, an information acquisition module, an information transmission module and the like, wherein the positioning module is an optional module), a central control calculation unit (comprising components such as an information transmission module, an information processing module, a power supply and the like, hereinafter referred to as a CPU), an execution unit (comprising an inflation module and an air bag) and an alarm unit (comprising an alarm module and a positioning module), wherein the alarm unit is an optional component, and the sensor of the gesture detection unit can be any one of a gyroscope, an acceleration sensor, a height sensor, a pressure sensor and a plurality of mixed combinations.

The gesture detection units a and B are respectively arranged below the left ankle and the right ankle of the user, respectively detect the behavior information of the left foot and the right foot of the user (such as the inclination angles delta A1L and delta A1R, the height changes delta H1L and delta H1R, and the inclination angle change rates delta omega 1L and delta omega 1R in each interval time (threshold) and transmit to the CPU in real time, and the gesture detection unit C is arranged above the ankle of the user (such as the waist, the shoulder and the like), detects the behavior information of the trunk of the user (such as the inclination angle delta A2, the height changes delta H2 and the inclination angle change rates delta omega 2 in each interval time (threshold)) and transmits to the CPU in real time.

The CPU judges whether a user falls according to preset characteristics (a threshold value is considered to be effective falling if delta A1L is more than or equal to 15 degrees or delta A1R is more than or equal to 15 degrees and delta A2 is more than or equal to 30 degrees in unit time, and delta A1L is less than or equal to 5 degrees and delta A1R is less than or equal to 5 degrees in unit time, and is considered to be normal behavior) and determines whether a signal is sent to an execution unit. Once the CPU collects the condition that the fall preset condition is fully met, the CPU immediately sends a signal to the execution unit (such as the circuit of the execution unit is connected) and the alarm unit.

And after receiving the information, the execution unit immediately enables the inflation module to inflate the air bag. Therefore, the air bag can buffer the impact injury suffered by the user at the moment of the touch of the user, thereby achieving the purpose of protecting the key parts of the user.

In some embodiments the method may further comprise: in some embodiments, each independent gesture detection unit adds an information processing module to some or all of the independent gesture detection units in addition to integrating the modules described above. Therefore, the first-level screening of the posture information of the corresponding part is realized, only dangerous information conforming to the falling posture (for example, the posture detection unit A only transmits the information of the foot posture characteristics of the human body when the human body falls in each interval time (threshold value) such as the inclination angle delta A is more than or equal to 15 degrees or the height change delta H1 is more than or equal to 10mm, and the like, and the posture detection unit B only transmits the information of the trunk posture characteristics of the human body when the human body falls in each interval time (threshold value) such as the inclination angle delta A is more than or equal to 30 degrees or the height change delta H1 is more than or equal to 120mm, and the like) is transmitted to the CPU, so that the CPU only analyzes and processes the data of the dangerous information, and the multi-point anti-falling detection and control device has faster and more accurate response. The scenario in which the information processing modules are all integrated with three sets of gesture detection units is explained as follows:

the multi-point anti-falling detection and control device comprises a gesture detection unit A (comprising a sensor, an information acquisition module, an information transmission module, an information processing module and the like, wherein a positioning module is an optional module), a gesture detection unit B (comprising a sensor, an information acquisition module, an information transmission module, an information processing module and the like, wherein the positioning module is an optional module), a gesture detection unit C (comprising a sensor, an information acquisition module, an information processing module and the like, and the positioning module is an optional module), a central control calculation unit (electronic components such as a built-in information transmission module, an information processing module, a power supply and the like, hereinafter referred to as CPU), an execution unit (comprising an inflation module and an air bag) and an alarm unit (an alarm module and a positioning module), wherein the alarm unit is an optional component. The sensor of the gesture detection unit may be any one of a gyroscope, an acceleration sensor, a height sensor, a pressure sensor, or a plurality of hybrid combinations.

The gesture detection unit A is arranged below the left ankle of the user, detects the behavior information (such as the inclination angle delta A1L, the height change delta H1L and the inclination angle change rate delta omega 1L in each interval time (threshold) of the left foot of the user, performs screening calculation, and sends information to the CPU through the information transmission module immediately after preset characteristics are obtained (such as delta A1L is more than or equal to 15 degrees and the height change delta H1L is more than or equal to 10 mm). The gesture detection unit B is arranged below the right ankle of the user, detects the behavior information (such as the inclination angle delta A1R, the height change delta H1R and the inclination angle change rate delta omega 1R in each interval time (threshold) of the right foot of the user, performs screening calculation, obtains preset characteristics (threshold), and immediately sends information to the CPU through the information transmission module (such as delta A1R is more than or equal to 15 degrees and the height change delta H1L is more than or equal to 10 mm). The gesture detection unit C is arranged at the human trunk part (such as the waist), detects the action information of the trunk of the user (such as the inclination angle delta A2, the height change delta H2 and the inclination angle change rate delta omega 2 in each interval time (threshold)) and carries out screening calculation, and sends information to the CPU through the information transmission module immediately after the preset characteristic (threshold) is obtained (such as delta B1 is more than or equal to 15 degrees and the height change delta H1L is more than or equal to 150 mm).

The CPU judges whether the user falls according to preset characteristics (a threshold value is considered to be effective falling if the unit time delta A1L is more than or equal to 15 degrees or delta A1R is more than or equal to 15 degrees and delta A2 is more than or equal to 30 degrees, and the unit time delta A1L is less than or equal to 5 degrees and delta A1R is less than or equal to 5 degrees and is considered to be normal behavior) and determines whether to send a signal to the execution unit. Once the CPU collects the condition that the fall preset condition is fully met, the CPU immediately sends a signal to the execution unit (such as the circuit of the execution unit is connected) and the alarm unit.

And after receiving the information, the execution unit immediately enables the air inflation module to rapidly inflate the air bag. Therefore, the air bag can buffer the impact injury suffered by the user at the moment of the touch of the user, thereby achieving the purpose of protecting the key parts of the user.

The embodiment of the invention has the following beneficial effects:

the multi-point posture detection unit is used for comprehensively judging the posture of the user in real time, so that the misjudgment on whether the user falls down or not can be obviously reduced, and the misjudgment rate is reduced by more than 90%.

Through some embodiments of the multi-point posture detection unit, the CPU is coordinated by a plurality of information processing modules to analyze and judge the posture of the user, so that the anti-falling execution product can be correspondingly faster, and the user can be more comprehensively protected.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a side view of an attitude detecting unit according to an embodiment of the present invention;

FIG. 2 is a schematic block frame structure of a multi-point anti-drop detection and control device according to an embodiment of the present invention;

FIG. 3 is a flowchart of a processing method of a multi-point anti-drop detection and control device according to an embodiment of the present invention;

FIG. 4 is a flowchart of a processing method of a multi-point anti-drop detection device according to another embodiment of the present invention;

FIG. 5 is a flowchart of a processing method of a multi-point anti-drop detection and control device according to another embodiment of the present invention;

wherein, each reference sign in the figure:

1-an attitude detection unit; 11-fixing buckle; 200-an attitude detection unit a; 210-an attitude detection unit B; 220-an attitude detection unit C;230-CPU; 240-an execution unit; 241-an inflation module; 242-balloon; 250-an alarm unit; 251-an alarm module; 252-positioning module; 310-step 310; 311-link 311; 312-link 312; 320-step 320; 322-link 322; 323-link 323; 324-link 324; 325-link 325; 330-step 330; 332-link 332; 333-link 333; 334-link 334; 335-link 335; 340-step 340; 350-step 350; 410-step 410; 411-link 411; 412-link 412; 413-link 413; 420-step 420; 422-link 422; 423-link 423; 424-link 424; 425-step 425; 430-step 430; 432-link 432; 433-link 433; 434-link 434; 435-link 435; 440-step 440; 450-step 450; 510-step 510; 511-link 511; 512-link 512; 520-step 520; 521-link 521; 522-link 522; 523-link 523; 524-link 524; 525-step 525; 526-step 526; 530-step 530; 531-link 531; 532-step 532; 540-step 540; 542-link 542; 543-link 543; 544-link 544; 545-step 545; 550-550; 552-link 552; 553-link 553; 554-link 554; 560-step 560; 570-step 570.

Detailed Description

In order to make the technical problems, technical solutions and advantageous effects to be solved more clear, the present invention is further described in detail below with reference to the accompanying drawings and one example of many embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

It will be understood that when an element is referred to as being "mounted" or "disposed" on another element, it can be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.

It is to be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are merely for convenience in describing and simplifying the description based on the orientation or positional relationship shown in the drawings, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus are not to be construed as limiting the invention.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.

Referring to fig. 1 to 5, an embodiment of a multi-point anti-drop detection device according to the present invention will be described: the multi-point anti-falling detection and control device is composed of a gesture detection unit A200 (comprising a gyroscope 201, an acceleration sensor 202, a height sensor 203, an information acquisition module 204, an information transmission module 207 and the like, a positioning module 206 is an optional module), a gesture detection unit B210 (comprising a gyroscope 211, an acceleration sensor 212, a height sensor 213, an information acquisition module 214, an information transmission module 217 and the like, a positioning module 216 is an optional module), a central control calculation unit 230 (comprising an information transmission module, an information processing module, a power supply, a switch and other circuit components and the like, hereinafter referred to as CPU 230), an execution unit 240 (comprising an inflation module 241 and an air bag 242), and an alarm unit 250 (an alarm module 251 and a positioning module 252). Wherein the posture detecting unit a200 is distributed below the ankle of the user and is worn on the left or right foot of the user by the fixing buckle 11. The second group of gesture detection units B210 and the CPU230 are integrated on the same circuit board, and are integrated in wearing units such as clothes, waistcoat, etc. by embedding, sewing, etc. and are located on the trunk portion (on the ankle) of the user.

Fig. 2 schematically shows a schematic block frame structure of a multi-point anti-drop detection device according to an embodiment of the present invention.

After the user turns on the control power of the CPU230, the CPU230 turns on the circuit of the posture detecting unit B210, and activates the posture detecting unit a200 by infrared rays, so that both detect the posture information of the user in real time.

Further, the gesture detection unit a200 detects the behavior information of the user's foot (e.g., the inclination angle change Δa1, the altitude change Δh1, the inclination angle change rate Δω1 within each interval time (threshold)) and transmits it to the CPU230 in real time. The posture detecting unit B210 detects behavior information of the user's trunk, such as the inclination angle Δa2, the height change Δh2, and the inclination angle change rate Δω2, in every interval time (threshold value), and transmits it to the CPU230 in real time.

Further, the CPU230 performs calculation matching after receiving the information of the gesture detection unit a200 and the gesture detection unit B210, and once a preset combination (for example, the unit time Δa1 is greater than or equal to 15 ° and Δa2 is greater than or equal to 30 °) appears, the circuits of the execution unit 240 and the alarm unit 250 are immediately turned on.

Further, after the circuit of the execution unit 240 is turned on, the resistor disc inside the ignition head generates high temperature and detonates the surrounding explosive, and the force generated by the explosive drives the puncture head to break the high-pressure gas storage bottle, so that the high-pressure gas storage bottle inflates the airbag 242 along the gas guide tube. The air bag 242 buffers the impact injury of the user at the moment of the user touching the ground, so as to protect the key parts of the user (the specific structure and implementation of the part of the execution unit 240 are not included in the scope of the present patent claims, and therefore are only generally described and not described in detail).

After the circuit of the alarm unit 250 is turned on, alarm information and positioning information of the user are sent to a designated receiving unit (such as a guardian) in a GSM communication mode.

Fig. 3 schematically shows a processing method (working method) of the multi-point anti-drop detection device according to an embodiment of the present invention, which is based on the multi-point anti-drop detection device using two sets of gesture detection units. As shown in fig. 3, the method includes:

step 310: the posture detection unit collects user body posture data.

This step includes two links, link 311 and link 312, namely:

link 311: the information acquisition module 204 of the gesture detection unit a200 acquires gesture information (such as the inclination angle Δa1, the height change Δh1, and the inclination angle change rate Δω1 in a unit time (threshold)) of the user's foot through the gyroscope 201, the acceleration sensor 202, the height sensor 203, and the like, and sends the information to the CPU230 in the form of bluetooth through the information transmission module 207.

Link 312: the information acquisition module 214 of the gesture detection unit B210 acquires gesture information (such as the inclination angle Δa2, the height change Δh2, and the inclination angle change rate Δω2 within a unit time (threshold)) of the trunk of the user through the gyroscope 211, the acceleration sensor 212, the height sensor 213, and the like, and transmits the gesture information to the CPU230 in a line transmission form through the information transmission module 217.

Step 320: the CPU230 analyzes the received posture information according to a preset algorithm (threshold value) to determine whether the user falls down.

The CPU230 receives the foot posture information sent by the posture detecting unit a200 and the torso posture information sent by the posture detecting unit B210, and analyzes and judges these data according to a preset algorithm (threshold), where the step includes four links, namely:

link 322: CPU230 detects that neither the foot posture transmitted by posture detecting unit a200 nor the torso posture transmitted by posture detecting unit B210 meets the scene of a fall condition, and proceeds to step 324.

Link 324: the CPU230 determines that the user has not fallen, labeled FALSE, and continues to analyze the subsequently received gesture information.

Link 323: the CPU230 detects that only one of the foot posture transmitted from the posture detecting unit a200 and the torso posture transmitted from the posture detecting unit B210 conforms to the fall condition, and proceeds to step 325.

Link 325: the CPU230 determines that the user has not fallen, labeled FALSE, and continues to analyze the subsequently received gesture information.

Step 330: the CPU230 determines a response when the user falls.

When the CPU230 determines that the user falls down according to the preset algorithm (threshold value) through comprehensive analysis, the following response is performed, where the response links include link 332 and link 334, link 333 and link 335 and link 336, that is:

Link 332: CPU230 signals positioning module 252 (i.e., completes the circuitry of positioning module 252) and proceeds to element 334.

Link 334: the positioning module 252 is connected, and the positioning module 252 is used for rapidly positioning according to the GPS or Beidou system and sending the position information to a specified object (such as a guardian) in a GSM communication mode.

Link 333: CPU230 signals alarm module 251 (i.e., completes the circuit of alarm module 251) and proceeds to element 335.

Link 335: the alarm module 251 is connected with a line and sends alarm information to an appointed object (such as a guardian) in a GSM communication mode.

Link 336: the CPU signals the execution unit, i.e. the CPU completes the circuit of the inflation module 241 in the execution unit 240.

Step 340: the guard response of the execution unit 240.

After the execution unit 240 receives the signal, that is, after the circuit of the inflation module 241 is turned on, the resistor disc inside the ignition head of the inflation module 241 generates high temperature and detonates the peripheral explosive, and the force generated by the explosive drives the puncture head to break the high-pressure gas storage bottle, so that the high-pressure gas storage bottle inflates the air bag 242 through the air duct, and the high-pressure gas storage bottle is fully unfolded.

Step 350: the airbag 242 deploys and protects the user.

The air bag 242 buffers the impact injury suffered by the user at the moment of the user touching the ground, thereby achieving the purpose of protecting the key parts of the user.

Fig. 4 schematically shows a processing method (working method) of a multi-point anti-drop detection device according to another embodiment of the present invention. The method is based on a multi-point anti-falling detection control device adopting three groups of gesture detection units, and as shown in fig. 4, the method comprises the following steps:

step 410: the gesture detection unit collects user body gesture data.

This step includes three links 411, 412 and 413, namely:

link 411: the information acquisition module 204 of the gesture detection unit a200 acquires gesture information (the inclination angle Δa1, the height change Δh1, and the inclination angle change rate Δω1 in a unit time (threshold)) of the left foot of the user through the gyroscope 201, the acceleration sensor 202, the height sensor 203, and other chips and sends the information to the CPU230 in the form of bluetooth through the information transmission module 207;

link 412: the information acquisition module 214 of the posture detection unit B210 acquires posture information (inclination angle Δa2, height change Δh2, inclination angle change rate Δω2) of the right foot of the user per unit time (threshold value) through chips such as the gyroscope 211, the acceleration sensor 212, and the height sensor 213, and sends the acquired posture information to the CPU230 in the form of bluetooth through the information transmission module 217.

Link 413: the information acquisition module 224 of the posture detection unit C220 acquires posture information (inclination angle Δa3, height change Δh3, inclination angle change rate Δω3) of the user's trunk in a unit time (threshold) through the chips of the gyroscope 221, the acceleration sensor 222, the height sensor 223, and the like and sends the information to the CPU230 in a line transmission form through the information transmission module 227.

Step 420: the CPU230 judges whether the user falls according to the received posture information of each part of the user.

The CPU230 receives the left foot posture information sent from the posture detecting unit a200, the right foot posture information sent from the posture detecting unit B210, and the trunk posture information sent from the posture detecting unit C220, and analyzes and determines these data according to a preset algorithm (threshold), where the step includes four links including a link 422 and a link 424, a link 423 and a link 425, that is:

link 422: the CPU230 detects that only one of the left foot posture transmitted from the posture detecting unit a200, the right foot posture transmitted from the posture detecting unit B210, and the torso posture transmitted from the posture detecting unit C220 matches or does not match the falling posture, and proceeds to step 424.

Link 424: the CPU230 determines that the user has not fallen, labeled FALSE, and continues to determine whether the user has fallen based on the subsequent information.

Link 423: the CPU230 detects that only two of the left foot posture transmitted by the unit a200, the right foot posture transmitted by the posture detecting unit B210, and the torso posture transmitted by the posture detecting unit C220 meet the fall condition, and proceeds to the link 425.

Link 425: the CPU230 determines that the user has not fallen, labeled FALSE, and continues to analyze the entered gesture information.

Step 430: the CPU230 determines a response when the user falls.

When the CPU230 determines that the user falls down according to the preset algorithm (threshold value) through comprehensive analysis, the following response is performed, where the response links include link 432 and link 434, link 433, and links 435 and 436, that is:

link 432: CPU230 signals the positioning module (i.e., turns on the positioning module circuitry) and proceeds to element 434.

Link 434: the line of the positioning module is connected, and the positioning module rapidly positions according to the GPS or the Beidou system and sends the position information to an appointed object (such as a guardian) in a GSM communication mode.

Link 433: CPU230 signals the alarm module (i.e., turns on the alarm module circuitry) and proceeds to element 435.

Link 435: the alarm module is connected with the line and sends alarm information to the appointed object (such as guardian) through GSM communication mode.

Link 436: the CPU230 signals the execution unit, i.e. the CPU completes the circuit of the inflation module 241 in the execution unit 240.

Step 440: the guard response of the execution unit 240.

After the execution unit 240 receives the signal, that is, after the circuit of the inflation module 241 is turned on, the resistor disc inside the ignition head of the inflation module 241 generates high temperature and detonates the surrounding explosive, and the force generated by the explosive drives the puncture head to break the high-pressure gas storage bottle, so that the high-pressure gas storage bottle releases gas to the air bag 242, and the high-pressure gas storage bottle is fully unfolded.

Step 450: the airbag 242 deploys and protects the user.

Fig. 5 schematically shows a method of processing a multi-point drop prevention and detection device according to another embodiment of the present invention. That is, each gesture detection unit integrates part or all of the information processing module, the method is based on a multi-point anti-drop detection device adopting two groups of gesture detection units, as shown in fig. 5, and the method comprises the following steps:

step 510: the gesture detection unit collects user body gesture data.

This step includes two links, link 511 and link 512, namely:

link 511: the information acquisition module 204 of the posture detection unit a200 acquires posture information (the inclination angle Δa1, the height change Δh1, the inclination angle change rate Δω1 in a unit time (threshold value)) of the user's foot through the gyroscope 201, the acceleration sensor 202, the height sensor 203, and the like, and transmits the acquired posture information to the information processing module 205 through a line.

Link 512: the information acquisition module 214 of the posture detection unit B210 acquires posture information (inclination angle Δa2, height change Δh2, inclination angle change rate Δω2) of the user's trunk in a unit time (threshold value) through the chips of the gyroscope 211, the acceleration sensor 212, the height sensor 213, and the like, and transmits the acquired posture information to the information processing module 215 through a line.

Step 520: dangerous information screening by using information processing modules of all gesture detection units

The information processing module 205 of the gesture detection unit a screens the data acquired by the information acquisition module 204 through the gyroscope 201, the acceleration sensor 202, the height sensor 203 and other chips according to a preset algorithm (threshold), the information processing module 215 of the gesture detection unit B screens the data acquired by the information acquisition module 214 through the gyroscope 211, the acceleration sensor 212, the height sensor 213 and other chips according to a preset algorithm (threshold), and the steps include six links, namely:

link 521: the information processing module 205 of the gesture detection unit a200 screens the step gesture information acquired by the gesture detection unit a 200.

Link 523: if the information processing module 205 of the gesture detection unit a200 does not detect the feature (for example, the inclination angle Δa1 in each interval time (threshold value) is greater than or equal to 15 °, or the height change Δh1 is greater than or equal to 10 mm), then step 525 is entered.

Link 525: the information processing module judges that the user does not fall down, marks the user as FALSE, and continues to analyze subsequent gesture information.

Link 522: the information processing module 215 of the posture detection unit B210 screens the torso posture acquired by the posture detection unit B210.

Link 524: if the information processing module 215 of the gesture detection unit B210 does not detect the feature (e.g. the inclination angle Δa2 is greater than or equal to 15 ° or the height change Δh2 is greater than or equal to 10mm in each interval time (threshold)), then step 525 is entered.

Link 526: the information processing module judges that the user does not fall down, marks the user as FALSE and continuously analyzes the acquired gesture information.

Step 530: response of screening dangerous information by information processing modules of all gesture detection units

The information processing module 205 of the gesture detection unit a200, after screening out the step gesture dangerous information (such as the inclination angle Δa2 is greater than or equal to 15 ° or the height change Δh2 is greater than or equal to 10mm in each interval time (threshold value)), immediately transmits the step gesture information predefined as dangerous to the CPU230 through the information transmission module 207 in an infrared transmission manner. The information processing module 215 of the gesture detection unit B210, after screening out the trunk gesture dangerous information (such as the inclination angle Δa2 is greater than or equal to 30 ° or the height change Δh2 is greater than or equal to 120mm in each interval time (threshold), immediately transmits the trunk gesture information predefined as the dangerous to the CPU230 through the information transmission module 217 in an infrared transmission mode.

Step 540: the CPU230 further determines whether the user falls according to the received risk information of the posture of each body part.

The CPU230 receives the foot posture risk information sent by the posture detecting unit a200 and the torso posture risk information sent by the posture detecting unit B210, and analyzes and judges these data according to a preset algorithm (threshold), where the step includes four links including a link 542 and a link 544, and a link 543 and a link 545, that is:

link 542: CPU230 does not find foot and torso pose information that matches the preset fall algorithm, and proceeds to step 544.

Link 544: the CPU230 determines that the user has not fallen, labeled FALSE, and continues to analyze the subsequently received gesture information.

Link 543: CPU230 finds that only the foot posture information corresponds to the preset fall algorithm or only the torso posture information corresponds to the preset fall algorithm, proceeds to step 544, and proceeds to step 545.

Link 545: the CPU230 determines that the user has not fallen, labeled FALSE, and continues to analyze the subsequently received gesture information.

Step 550: the CPU230 determines a response when the user falls.

When the CPU230 performs comprehensive analysis according to the preset algorithm (threshold value), it finds that the foot posture information and the torso posture information both conform to the preset fall algorithm (threshold value), and determines that the user falls, the following response is performed, where the response links include five links, that is, link 552 and link 554, link 553 and link 555 and link 556:

Link 552: CPU230 signals positioning module 252 (i.e., completes the circuitry of positioning module 252) and proceeds to element 554.

Link 554: the positioning module 252 is connected, and the positioning module 252 is used for rapidly positioning according to the GPS or Beidou system and sending the position information to a specified object (such as a guardian) in a GSM communication mode.

Link 553: CPU230 signals alarm module 251 (i.e., completes the circuit of alarm module 251) and proceeds to block 555.

Link 555: the alarm module 251 is connected with a line and sends alarm information to an appointed object (such as a guardian) in a GSM communication mode.

Link 556: CPU230 signals the execution unit that CPU230 completes the circuit of inflation module 241 in execution unit 240.

Step 560: the guard response of the execution unit 240.

After the execution unit 240 receives the signal, that is, after the circuit of the inflation module 241 is turned on, the resistor disc inside the ignition head of the inflation module 241 generates high temperature and detonates the surrounding explosive, and the force generated by the explosive drives the puncture head to break the high-pressure gas storage bottle, so that the high-pressure gas storage bottle releases gas to the airbag 272, and the airbag is fully unfolded.

Step 570: the airbag 242 deploys and protects the user.

The foregoing description of the embodiments of the invention is provided for the purpose of illustration only, and is not intended to limit the invention to the particular embodiments disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

Claims

1. The utility model provides a prevent falling detection and control device in multiposition, by multiunit (two and above) gesture detecting element (by sensor, information acquisition module, information transmission module and orientation module are constituteed, orientation module is optional module), well accuse calculating element (built-in information transmission module, information processing module and electronic components such as power, CPU for short below), execution unit (including inflating module and gasbag) and alarm unit (alarm module and orientation module), wherein alarm unit is optional subassembly, gesture detecting element's sensor can be any one of gyroscope, acceleration sensor, altitude sensor, pressure sensor, or a plurality of mixed combinations.

2. According to claim 1, the multiple groups of gesture detection units of the multi-point anti-falling detection and control device are distributed at different parts of a human body in a buckling, binding, embedding and other modes, wherein at least one gesture detection unit is arranged at a part below the ankle joint of a user, and at least one gesture detection unit is arranged at a part above the ankle joint of the user.

3. According to claim 2, the signal transmission mode among the multiple sets of gesture detection units, the CPU and the execution units of the multi-point anti-drop detection device can be any one of wire harness transmission, bluetooth transmission, wiFi transmission, infrared transmission, wave band transmission, GSM transmission or a plurality of mixed modes.

4. According to claim 3, in some embodiments of the multi-point anti-falling detection and control device, the multiple sets of gesture detection units are integrated with the modules, and part or all of the independent gesture detection units are additionally provided with the information processing modules, so that each gesture detection unit performs the first step processing on gesture information of a corresponding body part, and only dangerous gesture information conforming to the falling gesture of a human body is transferred to the CPU, so that the CPU only analyzes and processes data of the dangerous information, and the multi-point anti-falling detection and control device has faster and more accurate response.

5. According to claim 4, the air bag is inflated by the inflation module of the execution unit of the multi-point anti-drop detection device in any one of a high-pressure air bottle, a gas generator or a mixture of the two modes.

6. The multipoint drop prevention and control device according to claim 5, wherein the CPU confirms a mode of each posture sensor corresponding to a body part of a user and may be any one of the following modes: the CPU matches the body parts detected by the gesture detection units according to the distance difference between the gesture sensors and the CPU; the CPU is used for corresponding to the body part information detected by each gesture detection unit according to the compiling mode of the information sent by each gesture detection unit (for example, the information sent by the gesture detection unit arranged at the foot is compiled into A, and the information sent by the detection unit arranged at the waist is compiled into B); the CPU distinguishes the body parts corresponding to the gesture detection units in an information transmission mode, for example, the gesture detection units arranged at the waist part are transmitted through a circuit, and the gesture detection units arranged at the feet part are transmitted in a wireless mode; any combination of the above-mentioned various ways.

7. According to claim 6, in some embodiments of the multi-point crash prevention and control device, the device employs three independent gesture detection units, two of which are respectively distributed below the ankle on the left and right sides of the user, and one of which is disposed above the ankle joint of the user.

8. A method for processing a multi-point anti-fall detection and control device, which is used for analyzing and judging whether a user falls according to gesture information provided by gesture detection units by the multi-point anti-fall detection and control device, so as to make corresponding response, the method comprising the following steps:

the gesture detection units are not integrated with information processing modules, are distributed at different parts of the body of a user, are positioned at the foot part below the ankle, are positioned at the position above the ankle, detect gesture information (such as an inclination angle delta A, a height change delta H, an inclination angle change rate delta omega and the like in each interval time (threshold) of the user in real time and transmit the gesture information to the CPU in real time;

the CPU comprehensively analyzes the gesture information sent by each gesture detection unit according to a preset algorithm (threshold value), and when the gesture information conforming to the preset algorithm is screened out, signals are output to the execution unit and the alarm unit;

The inflation module of the execution unit receives the instruction input by the CPU and immediately inflates the air bag, so that key parts (such as the head, the shoulders, the crotch and the like) of a user are protected before the user bottoms out; the alarm module and the positioning module of the alarm unit immediately send alarm information and position information to a specified object (such as a guardian mobile phone) after receiving an instruction input by the CPU;

the specific detection process of one embodiment comprises the following steps:

a. the multi-point anti-falling detection and control device comprises a gesture detection unit A (comprising a sensor, an information acquisition module, an information transmission module and the like, wherein a positioning module is an optional module), a gesture detection unit B (comprising a sensor, an information acquisition module, an information transmission module and the like, wherein the positioning module is an optional module), a central control calculation unit (internally provided with electronic components such as an information transmission module, an information processing module, a power supply and the like, hereinafter called CPU (Central processing unit)) an execution unit (comprising an inflation module and an air bag) and an alarm unit (comprising an alarm module and a positioning module), wherein the alarm unit is an optional component, and the sensor of the gesture detection unit can be any one of a gyroscope, an acceleration sensor, a height sensor, a pressure sensor or a plurality of mixed combinations;

b. The gesture detection unit A is arranged below the ankle of the user, detects foot gesture information (such as an inclination angle delta A1, a height change delta H1 and an inclination angle change rate delta omega 1 in each interval time (threshold) of the user and transmits the foot gesture information to the CPU in real time, and the gesture detection unit B detects behavior information (such as an inclination angle delta A2, a height change delta H2 and an inclination angle change rate delta omega 2) of the trunk of the user and transmits the behavior information to the CPU in real time;

c, the CPU judges whether a user falls according to preset characteristics (a threshold value is considered as effective falling when delta A1 is more than or equal to 15 degrees and delta A2 is more than or equal to 30 degrees in unit time, and the unit time delta A1 is less than or equal to 5 degrees and is considered as normal behavior) and decides whether to send a signal to an execution unit, and once the CPU collects the condition that the fall preset condition is fully met, the CPU immediately sends the signal to the execution unit (such as a circuit of the execution unit is connected) and an alarm unit;

d. after receiving the information, the execution unit immediately enables the air inflation module to rapidly inflate the air bag, so that the air bag can buffer impact injury suffered by a user at the moment that the user touches the ground, and the aim of protecting key parts of the user is achieved;

e. the alarm unit sends alarm information and positioning information to a designated receiving unit (such as a guardian) immediately after receiving the information.

9. According to claim 8, another implementation specific detection process of the processing method of the multi-point anti-drop detection and control device further comprises:

a. the multi-point anti-drop detection and control device comprises a gesture detection unit A (comprising a sensor, an information acquisition module, an information transmission module and the like, wherein a positioning module is an optional module), a gesture detection unit B (comprising a sensor, an information acquisition module, an information transmission module and the like, wherein the positioning module is an optional module), a gesture detection unit C (comprising a sensor, an information acquisition module, an information transmission module and the like, wherein the positioning module is an optional module), a central control calculation unit (comprising electronic components such as an information transmission module, an information processing module, a power supply and the like, hereinafter referred to as CPU), an execution unit (comprising an inflation module and an air bag) and an alarm unit (comprising an alarm module and a positioning module), wherein the alarm unit is an optional component, and the sensor of the gesture detection unit can be any one of a gyroscope, an acceleration sensor, a height sensor, a pressure sensor and a plurality of mixed combinations;

b. the gesture detection units A and B are respectively arranged below the left ankle and the right ankle of the user, respectively detect the behavior information of the left foot and the right foot of the user (such as the inclination angles delta A1L and delta A1R, the height changes delta H1L and delta H1R and the inclination angle change rates delta omega 1L and delta omega 1R in each interval time (threshold) and transmit the behavior information to the CPU in real time, and the gesture detection unit C detects the behavior information of the trunk of the user (such as the inclination angle delta A2, the height changes delta H2 and the inclination angle change rates delta omega 2) in each interval time (threshold) and transmits the behavior information to the CPU in real time;

c, the CPU judges whether a user falls according to preset characteristics (a threshold value is considered to be effective falling if delta A1L is more than or equal to 15 degrees or delta A1R is more than or equal to 15 degrees and delta A2 is more than or equal to 30 degrees in unit time, delta A1L is less than or equal to 5 degrees and delta A1R is less than or equal to 5 degrees in unit time, and is considered to be normal behavior) and determines whether to send a signal to an execution unit, and once the CPU collects the condition that the fall preset condition is fully met, the CPU immediately sends the signal to the execution unit (such as a circuit of the execution unit is connected) and an alarm unit;

d. the execution unit immediately activates the inflation module after receiving the information to complete quick inflation of the air bag, so that the air bag can buffer impact injury suffered by a user at the moment that the user touches the ground, and the aim of protecting key parts of the user is fulfilled;

10. The method according to claim 9, the method further comprising: in some embodiments, besides integrating the above modules, each independent gesture detection unit is additionally provided with an information processing module, so as to implement first-level screening of gesture information of corresponding parts, and only transmit dangerous information conforming to falling gestures (for example, gesture detection unit A only transmits information of foot gesture characteristics when a human body falls, such as a height change Δh1 being greater than or equal to 10mm, in each interval time (threshold value), and for example, gesture detection unit B only transmits information of torso gesture characteristics when a human body falls, such as a height change Δh1 being greater than or equal to 120mm, in each interval time (threshold value)), to a CPU, so that the CPU only analyzes and processes data of the dangerous information, and the multi-point falling prevention and control device has faster and more accurate response, and the method comprises:

The gesture detection units are partially or completely integrated with the information processing modules and are distributed at different parts of the body of a user, at least one gesture detection unit is positioned at the foot part below the ankle, at least one gesture detection unit is positioned at the position above the ankle, gesture information (such as an inclination angle delta A, a height change delta H, an inclination angle change rate delta omega and the like in each interval time (threshold) of the user) is detected in real time, the information is analyzed and processed according to a preset algorithm (threshold), and only dangerous information, which corresponds to the falling characteristics, of the corresponding part is screened out and sent to the CPU;

the CPU comprehensively analyzes the dangerous information sent by each gesture detection unit according to a preset algorithm (threshold value), and when the gesture information conforming to the preset algorithm is screened out, signals are output to the execution unit and the alarm unit;

the inflation module of the execution unit receives the instruction input by the CPU and immediately inflates the air bag, so that key parts (such as the head, the shoulders, the crotch and the like) of a user are protected before the user bottoms out; and after receiving the instruction input by the CPU, the alarm module and the positioning module of the alarm unit immediately send alarm information and position information to a specified object (such as a guardian mobile phone).

The specific detection process of one embodiment comprises the following steps:

a. the multi-point anti-drop detection and control device comprises a gesture detection unit A (comprising a sensor, an information acquisition module, an information transmission module, an information processing module and the like, wherein a positioning module is an optional module), a gesture detection unit B (comprising a sensor, an information acquisition module, an information transmission module, an information processing module and the like, wherein the positioning module is an optional module), a gesture detection unit C (comprising a sensor, an information acquisition module, an information transmission module, an information processing module and the like, and the positioning module is an optional module), a central control calculation unit (comprising electronic components such as an information transmission module, an information processing module, a power supply and the like, hereinafter referred to as CPU), an execution unit (comprising an inflation module and an air bag) and an alarm unit (comprising an alarm module and a positioning module), wherein the alarm unit is an optional component, and the sensor of the gesture detection unit can be any one of a gyroscope, an acceleration sensor, a height sensor, a pressure sensor and a plurality of mixed combinations;

b. the gesture detection unit A is arranged below the left ankle of the user, detects behavior information (such as an inclination angle delta A1L and a height change delta H1L and an inclination angle change rate delta omega 1L in each interval time (threshold) of the left foot of the user, performs screening calculation, obtains preset characteristics (such as delta A1R is more than or equal to 15 DEG and the height change delta H1L is more than or equal to 10 mm) and then sends information to a CPU (for example) through the information transmission module, the gesture detection unit B is arranged below the right ankle of the user, detects behavior information (such as an inclination angle delta A1R, the height change delta H1R and an inclination angle change rate delta omega 1R in each interval time (threshold) of the right foot of the user, performs screening calculation, obtains preset characteristics (such as delta A1R is more than or equal to 15 DEG and the height change delta H1L is more than or equal to 10 mm), and then sends information to the CPU through the information transmission module, the gesture detection unit C is arranged at the waist part (for example) of the human body (such as delta A1R is more than or equal to 15 DEG and the height change delta H1L is more than or equal to 10 mm), detects behavior information (such as an inclination angle delta A2R and the height change delta H1R in each interval time (threshold) of the interval time (threshold) and performs screening calculation, and obtains the characteristic change delta H2) and the behavior information (such as delta H1L is more than or equal to 150);

c, the CPU judges whether a user falls according to preset characteristics (a threshold value is considered to be effective falling if the unit time delta A1L is more than or equal to 15 degrees or delta A1R is more than or equal to 15 degrees and delta A2 is more than or equal to 30 degrees, and the unit time delta A1L is less than or equal to 5 degrees and delta A1R is less than or equal to 5 degrees and is considered to be normal behavior), determines whether to send a signal to an execution unit, and sends the signal to the execution unit (such as a circuit of the execution unit is connected) and an alarm unit once the CPU collects the condition that the fall preset condition is fully met;