Fall alarm method, wearable fall alarm device and storage medium

Abstract

The invention provides a tumble alarm method, which is applied to a wearable tumble alarm device, the wearable tumble alarm device comprises a detection module, an alarm module and a main control module, and the tumble alarm method comprises the following steps executed by the main control module: obtaining attitude data collected by the detection module, a falling alarm device is worn on the target object; obtaining a posture data threshold value of the target object determined by the feature information of the target object in advance; and judging whether the attitude data always exceeds an attitude data threshold value of a corresponding moment in a preset time period, if so, judging that the target object falls down, and controlling an alarm module to give an alarm. According to the method, the threshold value is linked with the feature information of the wearer, so that the accuracy of tumble judgment is improved, and meanwhile, the alarm signal can be sent to the outside in time when the elderly tumble accidentally, so that people around can immediately provide necessary help, the injury degree of the elderly is effectively reduced, and the travel safety of the elderly is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of fall alarm, and in particular to a fall alarm method, a wearable fall alarm device, and a storage medium. Background Art

[0002] As the global population structure is increasingly aging, falls have gradually become an important factor leading to disability and even death among the elderly. According to a report released by the World Health Organization, in 2002 alone, the number of deaths caused by falls worldwide reached a staggering 391,000. It is worth noting that the elderly population over the age of 60 accounted for more than 50% of this number, and this number reached a staggering 40% among the elderly population over the age of 70. After conducting in-depth surveys on the elderly aged 65 and above living in the community, many developed countries found that 28% to 35% of such people have experienced falls every year, and when the age rises to over 80 years old, this proportion soars to 50%. About 40% to 70% of falls will cause varying degrees of physical injuries. For elderly patients who need to be admitted to the hospital for treatment, the incidence of falls is even more significant. Falls not only have a serious impact on the physical and mental health and quality of life of the elderly, but may also bring additional financial pressure to their children. Therefore, it is particularly important to take practical and effective measures to provide necessary assistance to the elderly.

[0003] That is, how to provide a fall alarm method and a wearable fall alarm device to send an alarm signal to the outside world in a timely manner when an elderly person falls, thereby improving the safety of the elderly person's travel, is a technical problem that urgently needs to be solved in this field. Summary of the invention

[0004] In response to the above-mentioned problems, the present invention aims to provide a fall alarm method, a wearable fall alarm device, and a storage medium to at least solve at least one of the above-mentioned technical problems.

[0005] In a first aspect, the present invention provides a fall alarm method, which is applied to a wearable fall alarm device, wherein the wearable fall alarm device comprises a detection module for collecting posture data of a target object in real time, an alarm module for issuing an alarm, and a main control module electrically connected to the detection module and the alarm module respectively, and the fall alarm method comprises executing the following steps by the main control module:

[0006] Acquire the posture data collected in real time by the detection module, the target object is wearing the fall alarm device;

[0007] Acquire a posture data threshold of the target object that is predetermined by feature information of the target object;

[0008] Determine whether the posture data always exceeds the posture data threshold at the corresponding time within a preset time period, and if so, determine that the target object falls, and control the alarm module to sound an alarm;

[0009] The characteristic information at least includes basic characteristic information of the target object, and the basic characteristic information includes the height, weight, age and gender of the target object.

[0010] Preferably, the detection module includes a gyroscope and a three-axis acceleration sensor, and the step of acquiring the posture data collected by the detection module in real time includes:

[0011] Acquire the angular velocity data collected by the gyroscope and the three-axis acceleration data collected by the three-axis acceleration sensor;

[0012] Calculating the current integrated acceleration of the target object according to the three-axis acceleration data;

[0013] The determining whether the posture data always exceeds the posture data threshold at the corresponding moment within a preset time period includes:

[0014] It is determined whether the comprehensive acceleration always exceeds the acceleration threshold at the corresponding moment within a preset time period, and it is determined whether the angular velocity data undergoes a sudden change within the preset time period.

[0015] Preferably, the characteristic information also includes life characteristic information of the target object, the life characteristic information includes the current season and the current time point, and the life characteristic information also includes the target object's daily routine, living environment and exercise habits.

[0016] Preferably, the acquiring of the posture data threshold of the target object determined in advance by the feature information of the target object comprises:

[0017] The basic feature information and the life feature information are input as initial data into a threshold configuration model for threshold configuration processing, wherein the threshold configuration model is specifically a deep neural network model, and the threshold configuration model is obtained by training an initial model in advance with sample feature information labeled with corresponding threshold results.

[0018] Preferably, the wearable fall alarm device further comprises a protection module, the protection module is electrically connected to the main control module, and after determining that the target object falls, the main control module is further used to perform the following steps:

[0019] The protection module is controlled to start so as to establish a buffer barrier between the target object and the ground through the protection module.

[0020] Preferably, the wearable fall alarm device further comprises a positioning module for collecting positioning information of the target object, the positioning module is electrically connected to the main control module, and after determining that the target object has fallen, the main control module is further used to perform the following steps:

[0021] Acquire the current positioning information of the target object collected by the positioning module, wherein the positioning information at least includes the geographical location coordinate information and the current time information of the target object;

[0022] generating fall warning information according to the positioning information and the determination result that the target object has fallen;

[0023] The fall warning information is sent to a terminal device bound to the wearable fall alarm device in the form of a text message, so that the terminal device notifies the emergency contact of the target object according to the fall warning information.

[0024] Preferably, the fall alarm device further comprises an interrupt alarm module, the interrupt alarm module is electrically connected to the main control module, and the main control module is further used to perform the following steps:

[0025] Obtaining the interruption alarm instruction collected by the interruption alarm module;

[0026] The fall determination process of the target object is reset according to the interrupt alarm instruction.

[0027] Preferably, the main control module is further used to perform the following steps:

[0028] After determining that the target object has fallen, the alarm of the alarm module is canceled according to the interrupt alarm instruction, a false alarm message is generated based on the interrupt alarm instruction, and the alarm message is sent in the form of a text message to a terminal device bound to the wearable fall alarm device.

[0029] In a second aspect, the present invention provides a wearable fall alarm device, the wearable fall alarm device comprising a detection module, an alarm module, a main control module, a protection module, a positioning module and an interrupt alarm module, the main control module being electrically connected to the detection module, the alarm module, the protection module, the positioning module and the interrupt alarm module respectively;

[0030] Among them, the detection module is used to collect the posture data of the target object in real time; the alarm module is used to issue an alarm; the protection module is used to establish a buffer barrier between the target object and the ground; the positioning module is used to collect the current positioning information of the target object; the interrupt alarm module is used to collect interrupt alarm instructions; the main control module is used to execute the fall alarm method as described in any one of the first aspects.

[0031] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the fall alarm method as described in any one of the first aspects is implemented.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention provides a fall alarm method, which is applied to a wearable fall alarm device. The wearable fall alarm device includes a detection module for real-time acquisition of posture data of a target object, an alarm module for issuing an alarm, and a main control module electrically connected to the detection module and the alarm module respectively. The fall alarm method provided by the present application includes the following steps performed by the main control module: acquiring posture data acquired in real time by the detection module, wherein the target object is wearing a fall alarm device; acquiring a posture data threshold of the target object determined in advance by characteristic information of the target object; determining whether the posture data always exceeds the posture data threshold at a corresponding moment within a preset time period, and if so, determining that the target object has fallen, and controlling the alarm module to issue an alarm; wherein the characteristic information at least includes basic characteristic information of the target object, and the basic characteristic information includes the height, weight, age and gender of the target object. The fall alarm method provided by the present application can determine the posture data threshold for judging whether the elderly person has fallen according to the characteristic information of different elderly people, so as to compare the posture data with the posture data threshold and then judge whether the elderly person wearing the wearable fall alarm device has fallen. By linking the threshold with the characteristic information of the wearer, the accuracy of fall judgment is improved. At the same time, when the elderly person accidentally falls, an alarm signal can be sent to the outside world in time so that the surrounding people can immediately provide necessary help, effectively reducing the degree of injury suffered by the elderly, and thus improving the safety of the elderly person's travel.

[0034] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 A flow chart of a fall alarm method provided in an embodiment of the present application;

[0037] Figure 2 A schematic diagram of the structure of a wearable fall alarm device provided in an embodiment of the present application;

[0038] Figure 3 A schematic diagram of the structure of a computer-readable storage medium provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of this specification to clearly and completely describe the technical solutions in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention; the "and / or" keyword involved in this implementation represents both and, or. In other words, A and / or B mentioned in the embodiments of this specification represent both A and B, and A or B, and describe the three states of A and B. For example, A and / or B means: only A is included but not B; only B is included but not A; A and B are included.

[0040] Meanwhile, in the embodiments of this specification, when a component is considered to be "connected" to another component, it may be directly connected to the other component or there may be a central component at the same time. When a component is considered to be "set on" another component, it may be directly set on the other component or there may be a central component at the same time.

[0041] The following describes the embodiments of the present invention through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention.

[0042] Embodiment 1

[0043] Specifically, Figure 1As shown, a first embodiment of the present invention provides a fall alarm method, which is applied to a wearable fall alarm device. The wearable fall alarm device includes a detection module for real-time acquisition of posture data of a target object, an alarm module for issuing an alarm, and a main control module electrically connected to the detection module and the alarm module respectively. The fall alarm method includes executing the following steps S110-S130 by the main control module:

[0044] Step S110: acquiring posture data collected in real time by the detection module, where the target object is wearing a wearable fall alarm device;

[0045] It can be understood that the wearable fall alarm device can be set and integrated into a special vest, belt or waist bag, so that the wearable fall alarm device can be worn or worn on the target object, that is, the corresponding position of the elderly person's body, so as to facilitate the detection and identification of the elderly person's posture. At the same time, the protective device can provide protection when the elderly person falls.

[0046] Among them, the detection module can include a gyroscope and a three-axis acceleration sensor, so as to collect the angular velocity data of the elderly wearing the wearer through the gyroscope, and collect the three-axis acceleration data of the elderly wearing the wearer through the three-axis acceleration sensor. Therefore, obtaining the posture data collected by the detection module in real time includes the following contents:

[0047] Acquire the angular velocity data collected by the gyroscope and the three-axis acceleration data collected by the three-axis acceleration sensor;

[0048] Calculate the current comprehensive acceleration of the target object based on the three-axis acceleration data.

[0049] A reference coordinate system can be established based on the wearing position of the wearable fall alarm device, and the positive motion direction of the gyroscope and the three-axis acceleration sensor can be matched with the reference coordinate system by setting an orientation matrix. Then, the acceleration data obtained in the three axes based on the reference coordinate system are synthesized and modulated to obtain the current comprehensive acceleration of the target object.

[0050] Step S120: obtaining a posture data threshold of the target object determined in advance by feature information of the target object;

[0051] The characteristic information at least includes basic characteristic information of the target object, and the basic characteristic information includes height, weight, age and gender of the target object. Considering that different elderly people have different basic characteristic information such as gender, height, age and weight, there are differences in the recognition of motion postures. Therefore, the posture data threshold of the target object can be determined based on the above basic characteristic information, so that the posture data threshold can be used as the basis for judging whether a fall has occurred.

[0052] However, the posture data threshold determined based on basic feature information is only universal for users of different heights, weights, ages and genders, but there will be certain deviations for specific individual users or special cases, which does not meet actual needs.

[0053] Therefore, in some possible implementations, the characteristic information may also include the target object's life characteristic information, including the current season and the current time point, and the life characteristic information may also include the target object's daily routine, living environment and exercise habits. By using the above series of life characteristics to make more specific adaptive adjustments, it can play a more timely adaptive adjustment compared to the long-term unchanged basic characteristic information such as weight.

[0054] Furthermore, the life characteristic information may also involve medical advice, moving, temporary change of residence, etc.

[0055] The fall alarm method provided in this application can be adapted to every elderly person, providing each elderly person with a customized and adaptive threshold adjustment service, further avoiding false alarms and improving alarm accuracy.

[0056] In some possible implementations, obtaining a posture data threshold of a target object that is predetermined based on feature information of the target object includes:

[0057] The basic feature information and life feature information are input as initial data into the threshold configuration model for threshold configuration processing, wherein the threshold configuration model is specifically a deep neural network model, and the threshold configuration model is obtained by training the initial model in advance with sample feature information labeled with corresponding threshold results.

[0058] The threshold configuration model can be obtained in the following ways:

[0059] The historical sample feature information is obtained, the corresponding threshold results are annotated for the sample feature information, and the initial model is trained using the sample feature information annotated with the threshold results to obtain the threshold configuration model.

[0060] Among them, sample characteristic information includes basic sample characteristic information and life sample characteristic information.

[0061] Step S130: determining whether the posture data always exceeds the posture data threshold at the corresponding time within a preset time period. If so, determining that the target object has fallen, and controlling the alarm module to sound an alarm;

[0062] In some possible implementations, since the detection module includes a gyroscope and a three-axis acceleration sensor, determining whether the posture data always exceeds the posture data threshold at the corresponding moment within a preset time period specifically includes the following contents:

[0063] It is determined whether the comprehensive acceleration exceeds the acceleration threshold at the corresponding moment in a preset time period, and it is determined whether the angular velocity data changes suddenly in the preset time period.

[0064] When the angular velocity data changes suddenly within a preset time period, and the comprehensive acceleration always exceeds the acceleration threshold at the corresponding moment within the preset time period, it is determined that the target object has fallen, and the main control module controls the alarm module to sound an alarm.

[0065] The alarm module may be a buzzer or a voice broadcast device.

[0066] An embodiment of the present invention provides a fall alarm method, which is applied to a wearable fall alarm device. The wearable fall alarm device includes a detection module for collecting posture data of a target object in real time, an alarm module for issuing an alarm, and a main control module electrically connected to the detection module and the alarm module respectively. The fall alarm method provided by the present application includes executing the following steps through the main control module: obtaining posture data collected in real time by the detection module, and the target object is wearing a fall alarm device; obtaining a posture data threshold of the target object determined in advance by feature information of the target object; determining whether the posture data always exceeds the posture data threshold at the corresponding time within a preset time period, and if so, determining that the target object has fallen, and controlling the alarm module to issue an alarm; wherein the feature information at least includes basic feature information of the target object, and the basic feature information includes the height, weight, age and gender of the target object. The fall alarm method provided in the embodiment of the present application can determine the posture data threshold for judging whether the elderly person has fallen according to the characteristic information of different elderly people, so as to compare the posture data with the posture data threshold and then judge whether the elderly person wearing the wearable fall alarm device has fallen. By linking the threshold with the characteristic information of the wearer, the accuracy of fall judgment is improved. At the same time, when the elderly person accidentally falls, an alarm signal can be sent to the outside world in time, so that the surrounding people can immediately provide necessary help, effectively reduce the degree of injury suffered by the elderly, and thus improve the safety of the elderly person's travel.

[0067] In some possible implementations, the wearable fall alarm device further includes a protection module, which is electrically connected to the main control module. After determining that the target object has fallen, the main control module is further configured to perform the following steps:

[0068] The protection module is controlled to start to establish a buffer barrier between the target object and the ground through the protection module.

[0069] The protection module may be implemented by a structure that realizes rapid inflation of the airbag through motor drive, and the specific structure may be implemented using existing technology.

[0070] Specifically, the protection module can be mainly composed of a transmission part, an execution part, a gas source part and an airbag. The gas source part can choose to use a carbon dioxide high-pressure gas cylinder as the main solution. This design is not only easy to carry, but also more suitable for the use environment of wearable fall alarm devices. Once a possible fall accident is determined to occur, the main control module will immediately send a command to activate the protection module to inject gas into the airbag, thereby establishing a buffer barrier between the human body and the ground, and playing a comprehensive protection role for specific parts of the human body. The transmission part is the most critical component of the entire protection module. The function of this part is to convert the rotational motion of the motor into the linear motion of the needle, and in this process, it can also effectively amplify the output force. When the needle successfully penetrates the gas cylinder, it will automatically return to the initial position, so that the carbon dioxide stored in the gas cylinder can quickly overflow through the small hole of the airbag, thereby quickly filling the airbag with the required gas. Finally, the execution part is mainly composed of the needle. Under the push of the cam push rod, the needle can smoothly penetrate the gas cylinder, and then quickly return to its original state under the action of the spring, so that the gas can be quickly released, and finally the inflation of the airbag is completed.

[0071] In some possible implementations, the wearable fall alarm device further includes a positioning module for collecting positioning information of the target object, the positioning module is electrically connected to the main control module, and after determining that the target object has fallen, the main control module is further used to perform the following steps:

[0072] Acquire the current positioning information of the target object collected by the positioning module, the positioning information at least including the geographical location coordinate information and the current time information of the target object;

[0073] Generate fall warning information based on the positioning information and the determination result that the target object has fallen;

[0074] A fall warning message is sent to a terminal device bound to the wearable fall alarm device in the form of a text message, so that the terminal device notifies the emergency contact of the target object according to the fall warning message.

[0075] In addition, when sending a fall warning message via text message, you can also call the emergency contact at the same time to avoid the emergency contact failing to check or pay attention to the text message in time.

[0076] In some possible implementations, the fall alarm device further includes an interrupt alarm module, which is electrically connected to the main control module, and the main control module is further configured to perform the following steps:

[0077] Obtain the interrupt alarm instruction collected by the interrupt alarm module;

[0078] The fall judgment process of the target object is reset according to the interrupt alarm instruction.

[0079] In some possible implementations, the main control module is further configured to perform the following steps:

[0080] After determining that the target object has fallen, the alarm of the alarm module is canceled according to the interrupt alarm instruction, a false alarm message is generated based on the interrupt alarm instruction, and the alarm message is sent in the form of a text message to the terminal device bound to the wearable fall alarm device.

[0081] Specifically, the interrupt alarm module can be set to a button form, so that when a false alarm is generated, the alarm can be canceled by pressing a button, and the emergency contact is reminded of the false alarm behavior in time to improve the user experience.

[0082] Embodiment 2

[0083] like Figure 2 As shown, an embodiment of the present invention provides a wearable fall alarm device 200, which includes a detection module 201, an alarm module 202, a main control module 203, a protection module 204, a positioning module 205 and an interruption alarm module 206, and the main control module 203 is electrically connected to the detection module 201, the alarm module 202, the protection module 204, the positioning module 205 and the interruption alarm module 206 respectively;

[0084] Among them, the detection module 201 is used to collect the posture data of the target object in real time; the alarm module 202 is used to issue an alarm; the protection module 204 is used to establish a buffer barrier between the target object and the ground; the positioning module 205 is used to collect the current positioning information of the target object; the interruption alarm module 206 is used to collect interruption alarm instructions; the main control module 203 is used to execute the fall alarm method as described in any one of the embodiments.

[0085] It should be noted that the wearable fall alarm device provided in the embodiment of the present invention is based on the same concept as the embodiment of the method of the present invention, and the technical effect it brings is the same as the embodiment of the method of the present invention. For specific contents, please refer to the description in the embodiment of the method of the present invention, which will not be repeated here.

[0086] Embodiment 3

[0087] like Figure 3 As shown, an embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the fall alarm method as described in any one of the embodiments is implemented.

[0088] The storage medium of the embodiment of the present invention and the method of the above-mentioned embodiment 1 belong to the same concept. The specific implementation process is detailed in the corresponding method embodiment, and the technical features in the method embodiment are applicable to the computer-readable storage medium embodiment, which will not be repeated here.

[0089] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the limiting conditions for the implementation of the present invention, so they have no substantial technical significance. Any modification of the structure, change of the proportion relationship or adjustment of the size should still fall within the scope of the technical content disclosed by the present invention without affecting the effects and purposes that can be achieved by the present invention. At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" quoted in this specification are only for the convenience of description, and are not used to limit the scope of the implementation of the present invention. The change or adjustment of their relative relationship should also be regarded as the scope of the implementation of the present invention without substantially changing the technical content.

[0090] The above is only a preferred embodiment of the present invention, and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technician familiar with this profession can make some changes or modifications to equivalent embodiments of equivalent changes using the technical contents disclosed above without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A fall alarm method, applied to a wearable fall alarm device, wherein the wearable fall alarm device comprises a detection module for real-time acquisition of posture data of a target object, an alarm module for issuing an alarm, and a main control module electrically connected to the detection module and the alarm module, respectively, characterized in that: The fall alarm method comprises executing the following steps by the main control module: Acquire the posture data collected in real time by the detection module, the target object is wearing the fall alarm device; Acquire a posture data threshold of the target object that is predetermined by feature information of the target object; Determine whether the posture data always exceeds the posture data threshold at the corresponding time within a preset time period, and if so, determine that the target object falls, and control the alarm module to sound an alarm; The characteristic information at least includes basic characteristic information of the target object, and the basic characteristic information includes the height, weight, age and gender of the target object.

2. The fall alarm method according to claim 1, characterized in that: The detection module includes a gyroscope and a three-axis acceleration sensor, and the acquisition of the posture data collected by the detection module in real time includes: Acquire the angular velocity data collected by the gyroscope and the three-axis acceleration data collected by the three-axis acceleration sensor; Calculating the current integrated acceleration of the target object according to the three-axis acceleration data; The determining whether the posture data always exceeds the posture data threshold at the corresponding moment within a preset time period includes: It is determined whether the comprehensive acceleration always exceeds the acceleration threshold at the corresponding moment within a preset time period, and it is determined whether the angular velocity data undergoes a sudden change within the preset time period.

3. The fall alarm method according to claim 1, characterized in that: The characteristic information also includes the life characteristic information of the target object, the life characteristic information includes the current season and the current time point, and the life characteristic information also includes the life schedule, living environment and exercise habits of the target object.

4. The fall alarm method according to claim 3, characterized in that: The step of obtaining a posture data threshold of the target object that is predetermined by feature information of the target object includes: The basic feature information and the life feature information are input as initial data into a threshold configuration model for threshold configuration processing, wherein the threshold configuration model is specifically a deep neural network model, and the threshold configuration model is obtained by training an initial model in advance with sample feature information labeled with corresponding threshold results.

5. The fall alarm method according to claim 1, characterized in that: The wearable fall alarm device further includes a protection module, which is electrically connected to the main control module. After determining that the target object falls, the main control module is further configured to perform the following steps: The protection module is controlled to start so as to establish a buffer barrier between the target object and the ground through the protection module.

6. The fall alarm method according to claim 1, characterized in that: The wearable fall alarm device further includes a positioning module for collecting positioning information of the target object, the positioning module is electrically connected to the main control module, and after determining that the target object has fallen, the main control module is further used to perform the following steps: Acquire the current positioning information of the target object collected by the positioning module, wherein the positioning information at least includes the geographical location coordinate information and the current time information of the target object; generating fall warning information according to the positioning information and the determination result that the target object has fallen; The fall warning information is sent to a terminal device bound to the wearable fall alarm device in the form of a text message, so that the terminal device notifies the emergency contact of the target object according to the fall warning information.

7. The fall alarm method according to claim 1, characterized in that: The fall alarm device further comprises an interrupt alarm module, which is electrically connected to the main control module, and the main control module is further used to perform the following steps: Obtaining the interruption alarm instruction collected by the interruption alarm module; The fall determination process of the target object is reset according to the interrupt alarm instruction.

8. The fall alarm method according to claim 7, characterized in that: The main control module is also used to perform the following steps: After determining that the target object has fallen, the alarm of the alarm module is canceled according to the interrupt alarm instruction, a false alarm message is generated based on the interrupt alarm instruction, and the alarm message is sent in the form of a text message to a terminal device bound to the wearable fall alarm device.

9. A wearable fall alarm device, characterized in that: The wearable fall alarm device comprises a detection module, an alarm module, a main control module, a protection module, a positioning module and an interruption alarm module, wherein the main control module is electrically connected to the detection module, the alarm module, the protection module, the positioning module and the interruption alarm module respectively; Among them, the detection module is used to collect the posture data of the target object in real time; the alarm module is used to issue an alarm; the protection module is used to establish a buffer barrier between the target object and the ground; the positioning module is used to collect the current positioning information of the target object; the interrupt alarm module is used to collect interrupt alarm instructions; the main control module is used to execute the fall alarm method as described in any one of claims 1-8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the fall alarm method according to any one of claims 1 to 8 is implemented.

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