Voice interaction old man falling rescue system

Abstract

The invention discloses a voice interaction old people tumble rescue system, and belongs to the technical field of old people maintenance systems.The voice interaction old people tumble rescue system comprises an intelligent terminal internally provided with an AI voice interaction module and a 4G communication module and an anti-tumble sensor used for detecting the motion state of old people; the anti-falling sensor is used for monitoring the action state of the elderly, extracting behavior characteristics and transmitting the behavior characteristics to the data processing module in the intelligent terminal, and the data processing module recognizes the motion state of the elderly based on the behavior characteristics of the elderly. The motion state of the old person is sensed through the anti-falling sensor, the AI voice interaction module is used for carrying out voice inquiry on the old person after the old person falls down, so that the state of the old person is judged in time, response and rescue are carried out at the first time, manual operation is not needed in interaction of the scheme, voice response is adopted, and the operation difficulty is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of elderly care systems, and in particular relates to a voice-interactive elderly fall rescue system. Background Art

[0002] As the elderly's needs for care become more and more, the safety protection of the elderly is the most critical link; in response to the elderly's needs, there are already more and more smart interactive terminals that are adapted to the elderly. These smart interactive terminals include smart watches, smart bracelets, smart rings, etc., which have built-in interactive systems. However, the built-in systems of such smart terminals are often only used to provide functions such as health monitoring and voice care, and cannot fully meet the needs of the elderly.

[0003] Falling has become the leading cause of death due to injury for the elderly over 65 years old. At the same time, falling also has a very high probability of serious injury. The rescue of the elderly after falling has become the core point of safety protection for the elderly. Falling is extremely harmful to the elderly. The main reason is that after the elderly's physical function declines, they cannot get up and call for help in time after falling, so they often receive timely treatment. Although the existing smart terminals can call for help remotely through the Internet module, the elderly often lose their ability to move after falling. The manual operation of conventional smart terminals is large. The elderly are unable to use smart terminals to call for help after falling. In some more serious cases, the elderly may even lose consciousness after falling or lose their normal response ability due to pain. This means that although the smart terminal system is equipped with a fall rescue system, the use effect is not ideal. At the same time, the existing anti-fall system determines whether a person has fallen by detecting the person's movement state, that is, the existing system can only identify when a fall occurs, but cannot prevent and reduce the probability of a fall. By the time the system senses that the elderly have fallen, the injury of the accident has already occurred. Summary of the invention

[0004] The purpose of the present invention is to provide a voice-interactive elderly fall rescue system to solve the problems in the existing elderly care system mentioned in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a voice-interactive elderly fall rescue system, comprising an intelligent terminal with a built-in AI voice interaction module and a 4G communication module and an anti-fall sensor for detecting the movement state of the elderly, the anti-fall sensor monitors the action state of the elderly and extracts the behavior characteristics, and transmits the behavior characteristics to a data processing module in the intelligent terminal, and the data processing module identifies the movement state of the elderly based on the behavior characteristics of the elderly;

[0006] When the data processing module recognizes that the elderly person changes from one motion state to another, a warning instruction is issued through the AI ​​voice interaction module; when the data recognition module recognizes that the elderly person falls, the data processing module inquires about the severity of the fall through the AI ​​voice interaction module, and contacts relatives through the 4G communication module and transmits the location point for first aid.

[0007] Preferably, the anti-fall sensor includes a microwave radar and a three-axis acceleration sensor.

[0008] Preferably, the microwave radar is arranged indoors, and the three-axis acceleration sensor obtains six values ​​of three-dimensional acceleration and three-dimensional angular velocity.

[0009] Preferably, the fall rescue system divides the room into a risk area and a safe area. When the anti-fall sensor detects that the elderly person has entered the risk area, the AI ​​voice interaction module issues a warning instruction.

[0010] Preferably, the 4G communication module is provided with an emergency contact and a local medical telephone number.

[0011] Preferably, the AI ​​voice interaction module is provided with an alarm module.

[0012] Preferably, the AI ​​voice interaction module is also provided with a dialogue module and a playback module.

[0013] Compared with the prior art, the present invention has the following beneficial effects:

[0014] 1. The anti-fall sensor senses the movement state of the elderly, and uses the AI ​​voice interaction module to make voice inquiries to the elderly after they fall, so as to timely judge the elderly's status and respond to rescue as soon as possible. The interaction of this solution does not require manual operation, and adopts voice response, which reduces the difficulty of operation and solves the problem that the elderly cannot actively ask for help through the smart terminal after falling. At the same time, the response feedback can confirm the degree of injury of the elderly, avoid excessive rescue, and definitely reduce the waste of social resources;

[0015] Second, the anti-fall sensor can sense the movement state of the elderly. When the elderly switch to the movement state, they can be warned in advance through voice interaction. At the same time, the system can also set dangerous areas in the home environment. When the elderly enter the dangerous area, they can be warned intelligently through voice interaction. This system can issue a warning before a fall accident occurs, thereby reducing the risk of the elderly falling and effectively protecting the safety of the elderly;

[0016] 3. The system can provide daily chat services through the AI ​​voice interaction module to relieve the emotional pressure of the elderly. The AI ​​voice interaction module uses the emotion recognition function to analyze the emotional changes in the elderly’s voice, generate a mental health assessment report, and push music when the elderly are depressed. It also pushes holiday greetings, weather reminders, and health knowledge reminders on a daily basis, providing emotional companionship while providing safety protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Reference Figure 1 , a voice-interactive elderly fall rescue system, comprising an intelligent terminal with a built-in AI voice interaction module and a 4G communication module and an anti-fall sensor for detecting the movement state of the elderly, the anti-fall sensor is used to monitor the movement state of the elderly and extract behavioral characteristics, and transmit the behavioral characteristics to a data processing module in the intelligent terminal, and the data processing module identifies the movement state of the elderly based on the behavioral characteristics of the elderly;

[0020] When the data processing module recognizes that the elderly person changes from one motion state to another, it issues a warning command through the AI ​​voice interaction module; when the data processing module recognizes that the elderly person falls, it inquires about the severity of the disease through the AI ​​voice interaction module, and contacts relatives through the 4G communication module and transmits the location point to first aid.

[0021] In the traditional intelligent fall prevention and care system for the elderly, the design idea is to provide assistance after a fall, which cannot effectively prevent the elderly from falling. Although they wear smart terminals, they may lose their ability to move after a fall, so they cannot accurately use the smart terminals to ask for help. In this solution, an anti-fall sensor is set in the home activity area. The anti-fall sensor can detect the movement status characteristics of the elderly in this environment and pass the real-time movement status characteristics of the elderly to the data processing module. The data processing module determines the movement status of the elderly through the real-time movement status of the elderly, and realizes voice interaction warning and alarm rescue after a fall through the AI ​​voice interaction module;

[0022] Specifically, when the AI ​​voice interaction module implements interactive warning, it first uses the anti-fall sensor and the data processing module to determine the movement state of the person. The normal movement state of the elderly at home includes walking, sitting still, sleeping, standing still, etc. When it senses that the elderly have switched from one movement state to another, the AI ​​voice interaction module intelligently interacts with the voice to warn, thereby reducing the risk of the elderly falling due to negligence. For example, the elderly switch from sitting still to standing and walking. The anti-fall sensor captures the action information and passes it to the data recognition module. After the data processing module recognizes the information, the AI ​​voice interaction module voice prompts the elderly to stand up steadily, walk slowly, and reduce the risk of falling. Similarly, when the elderly wake up from sleep or switch from walking to sitting, the AI ​​voice interaction module can intelligently interact with the elderly through voice according to their movement status, improve their concentration when they are moving, and thus reduce the risk of falling and getting injured. In the system, the anti-fall sensor obtains the movement status information of the elderly, and also tracks the daily activity data of the elderly through database records, and generates health reports based on this to prevent the potential disease risks of the elderly. For example, the elderly's physical condition is judged through information such as the elderly's sleep time, number of steps, and static time. When the elderly are less active, the AI ​​voice interaction module voice prompts the elderly to increase their activity.

[0023] Specifically, fall rescue is achieved by the AI ​​voice interaction module. When the anti-fall sensor senses that the elderly have fallen (including abnormal states such as the elderly sitting on the ground), the AI ​​voice interaction module will intelligently inquire about the elderly’s status and contact nearby contacts after talking with the elderly, including the elderly’s relatives and community rescue centers. When the elderly do not answer, the AI ​​voice interaction module immediately contacts the nearest contact through the 4G communication module, and at the same time calls the emergency number and informs the location information, so as to achieve timely rescue. In this solution, the system will actively conduct voice interaction inquiries after detecting that the elderly have fallen, so as to timely judge the elderly’s status and respond to rescue as soon as possible. The interaction of this solution does not require manual operation, and voice response is used to reduce the difficulty of operation. At the same time, the response feedback can confirm the extent of the elderly’s injury, avoiding excessive rescue and certainly reducing the waste of social resources.

[0024] Furthermore, the anti-fall sensor includes a microwave radar and a three-axis acceleration sensor.

[0025] Through this technical solution, microwave radar can track the movement status of the elderly, but there are problems with inaccurate judgment and general accuracy. When a person falls, the three-axis acceleration sensor will detect the sudden change in acceleration, thereby detecting that the elderly have fallen, but it is easily disturbed by factors such as the movement status. Through the cooperation of microwave radar and three-axis acceleration sensor, they can complement each other, thereby accurately determining the movement status of the elderly and accurately tracking the movement status of the elderly.

[0026] Furthermore, the microwave radar is arranged indoors, and the three-axis acceleration sensor obtains six values ​​of three-dimensional acceleration and three-dimensional angular velocity.

[0027] Through this technical solution, microwave radar is set in the elderly's home activity area to monitor the elderly's movement patterns without contact, and the three-axis acceleration sensor is built into the smart terminal. The elderly carry it with them. The three-axis acceleration sensor obtains six values ​​of lateral, longitudinal and vertical acceleration and angular velocity, so as to judge the elderly's fall state. Specifically, when falling, weightlessness will occur first. In the initial stage of the fall, there will be a period of near-weightlessness. The acceleration will suddenly change, the pitch angle of the human body will change, and then a collision will occur, which will produce a certain acceleration in the opposite direction, and finally it will be still, and the acceleration and angular velocity will remain stable. Through the above state analysis, combined with the attitude sensing of the microwave radar, the movement state of the elderly can be captured very accurately, so as to provide timely assistance when the elderly fall.

[0028] Furthermore, the fall rescue system divides the room into risk areas and safe areas. When the anti-fall sensor detects that the elderly have entered the risk area, the AI ​​voice interaction module issues a warning command.

[0029] In the rescue system, the indoor space can also be divided into zones, with relatively safe areas such as living rooms and bedrooms being classified as safe areas, and areas where people are prone to slipping and falling, such as stairs, kitchens, and bathrooms, being set as risk areas. When the anti-fall sensor detects that the elderly have entered a risky area, the AI ​​voice interaction module will also issue a voice warning, reminding the elderly to be careful of slipping and to move slowly.

[0030] Furthermore, the 4G communication module is provided with emergency contacts and local medical telephone numbers.

[0031] The 4G communication module enables networking at any time and transmits rescue information in time. Different levels of contacts are set on the 4G communication module. The first-level rescue contacts are set to the elderly’s family members, neighbors, friends, etc., the second-level contacts are set to the community’s rescue center, and the third-level contacts are set to the hospital’s emergency center. Different levels of contacts are contacted based on the elderly’s response feedback after falling. For example, if the elderly can interact normally with voice and is in a normal mental state after falling, the 4G communication module only needs to contact the first-level contacts. If the elderly has no response at all, the hospital’s emergency center will be contacted at the same time, so as to provide timely rescue while reducing the waste of social resources.

[0032] Furthermore, the AI ​​voice interaction module is provided with an alarm module.

[0033] The system is equipped with an alarm module, which can be used to set time for taking medicine and exercising. The AI ​​voice interaction module can automatically remind the elderly to take medicine and exercise on time during a specific time period. At the same time, the anti-fall sensor can also monitor the elderly's medication while detecting their exercise status. When it is found that the elderly have failed to take medicine, the family members will be informed so that they can follow up.

[0034] Furthermore, the AI ​​voice interaction module is also provided with a dialogue module and a playback module.

[0035] The AI ​​voice interaction module provides chatting services through intelligent voice interaction, thereby alleviating the emotional stress of the elderly. The AI ​​voice interaction module uses the emotion recognition function to analyze the emotional changes in the elderly's voice, generate a mental health assessment report, and push music to play when the elderly are depressed. It also pushes holiday greetings, weather reminders, and health knowledge reminders on a daily basis.

[0036] Working principle: The anti-fall sensor detects the movement state of the elderly indoors, and transmits the real-time motion state characteristics of the elderly to the data processing module. The data processing module determines the movement state of the elderly through the real-time motion state of the elderly. When it is identified that the elderly has switched from one motion state to another, an early warning instruction is issued through the AI ​​voice interaction module; when the data processing module identifies that the elderly has fallen, it inquires about the severity of the elderly through the AI ​​voice interaction module, and contacts relatives through the 4G communication module and transmits the location point to first aid; this technical solution can issue an early warning through the AI ​​voice interaction module when the elderly are moving and entering a dangerous area, thereby improving the elderly's attention, reducing the risk of falling for the elderly and ensuring their safety. At the same time, when the anti-fall sensor detects that the elderly have fallen, it automatically inquires through the AI ​​voice interaction module, so as to timely judge the status of the elderly and respond to rescue at the first time. The interaction of this solution does not require manual operation, and voice response is used to reduce the difficulty of operation. At the same time, the response feedback can confirm the degree of injury of the elderly, avoid excessive rescue, and definitely reduce the waste of social resources.

[0037] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0038] In the description of the present invention, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In the present invention, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine different embodiments or examples described in the present invention and features of different embodiments or examples without contradiction.

[0039] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A voice interactive elderly fall rescue system, characterized by: It includes a smart terminal with a built-in AI voice interaction module and a 4G communication module, and an anti-fall sensor for detecting the movement state of the elderly. The anti-fall sensor monitors the movement state of the elderly and extracts behavioral characteristics, and transmits the behavioral characteristics to a data processing module in the smart terminal. The data processing module identifies the movement state of the elderly based on the behavioral characteristics of the elderly. When the data processing module recognizes that the elderly person changes from one motion state to another, a warning instruction is issued through the AI ​​voice interaction module; when the data recognition module recognizes that the elderly person falls, the data processing module inquires about the severity of the fall through the AI ​​voice interaction module, and contacts relatives through the 4G communication module and transmits the location point for first aid.

2. The voice interactive elderly fall rescue system according to claim 1, characterized in that: The anti-fall sensor includes a microwave radar and a three-axis acceleration sensor.

3. The voice interactive elderly fall rescue system according to claim 1, characterized in that: The microwave radar is arranged indoors, and the three-axis acceleration sensor acquires six values ​​of three-dimensional acceleration and three-dimensional angular velocity.

4. The voice interactive elderly fall rescue system according to claim 1, characterized in that: The fall rescue system divides the room into a risk area and a safe area. When the anti-fall sensor detects that the elderly have entered the risk area, the AI ​​voice interaction module issues a warning instruction.

5. The voice interactive elderly fall rescue system according to claim 1, characterized in that: The 4G communication module is provided with emergency contacts and local medical telephone numbers.

6. The voice interactive elderly fall rescue system according to claim 1, characterized in that: The AI ​​voice interaction module is provided with an alarm module.

7. The voice interactive elderly fall rescue system according to claim 1, characterized in that: The AI ​​voice interaction module is also provided with a dialogue module and a playback module.

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