CN115376276A - Old man falling monitoring device adopting artificial intelligence voice interaction mode - Google Patents
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- 230000003993 interaction Effects 0.000 title claims abstract description 30
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 20
- 238000012806 monitoring device Methods 0.000 title claims abstract description 19
- 238000006243 chemical reaction Methods 0.000 claims abstract description 16
- 230000000474 nursing effect Effects 0.000 claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims abstract description 7
- 229910052744 lithium Inorganic materials 0.000 claims abstract description 7
- 238000012545 processing Methods 0.000 claims description 16
- 230000005540 biological transmission Effects 0.000 claims description 14
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- 238000004891 communication Methods 0.000 claims description 3
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0469—Presence detectors to detect unsafe condition, e.g. infrared sensor, microphone
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
- G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/14—Session management
- H04L67/141—Setup of application sessions
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- Multimedia (AREA)
- Computational Linguistics (AREA)
- Acoustics & Sound (AREA)
- Audiology, Speech & Language Pathology (AREA)
- General Health & Medical Sciences (AREA)
- Gerontology & Geriatric Medicine (AREA)
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Abstract
The invention provides an old people falling monitoring device adopting an artificial intelligence voice interaction mode, and relates to the field of artificial intelligence. This adopt artificial intelligence voice interaction mode's old man monitoring device that tumbles, including speaker, two-way conversation microphone, digital audio frequency conversion module, wireless module, millimeter wave radar sensor, lithium cell and cloud ware, millimeter wave radar sensor detects the state of tumbleing and sends the signal of tumbleing and give the cloud ware, receives cloud ware's control command and uploads audio data, the pronunciation to replying in the cloud ware is analyzed. After monitoring the falling behavior of the old man through the millimeter wave radar sensor, asking the old man whether to fall or not, analyzing the replied voice in the cloud server, sending the voice to confirm whether the old man needs help or not, and if not, enabling customer service staff to take over the intercom device to directly talk with the old man, and requiring nursing staff to go to a room where the old man is located to provide help.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to an old people falling monitoring device adopting an artificial intelligence voice interaction mode.
Background
The intelligent voice interaction is a new generation interaction mode based on voice input, a feedback result can be obtained by speaking, along with the popularization of computer technology, the life of people gradually enters an intelligent era at present, the aspects of clothes and eating and housing of people start to apply the intelligent technology which appears soon, an intelligent television, intelligent navigation, intelligent home and the like, the intelligent technology provides convenient and fast service in all aspects of life of people, wherein the old people fall down to be monitored, and nursing staff or family members can be informed to take aid.
However, the traditional old people falling monitoring device generally adopts technologies such as video, millimeter wave and microwave to monitor the posture of the old people, once the equipment catches the falling behavior, the equipment gives an alarm to inform nursing staff or family members to take help, and due to the limitation of the equipment in the use environment and the technology, a certain number of false alarms can occur to cause invalid actions of the nursing staff and even influence other more urgent work.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an old people falling monitoring device adopting an artificial intelligence voice interaction mode, and solves the problems that a certain number of false alarms occur due to the limitation of the use environment and the technology of the traditional equipment, so that the invalid actions of nursing staff are caused, and other more urgent works are even influenced.
In order to realize the purpose, the invention is realized by the following technical scheme: an old man falling monitoring device adopting an artificial intelligent voice interaction mode comprises a loudspeaker, a bidirectional conversation microphone, a digital audio conversion module, a wireless module, a millimeter wave radar sensor, a lithium battery and a cloud server;
the millimeter wave radar sensor detects a falling state, sends a falling signal to the cloud server, receives a control instruction of the cloud server and uploads audio data, and the cloud server analyzes the replied voice and talks with the old through the bidirectional conversation microphone and the loudspeaker to determine whether the old needs help; the digital audio conversion module is used for converting audio between audio and digital signals, converting voice of an equipment end into the digital signals and sending the digital signals to the cloud server, meanwhile, the digital signals sent by the cloud server can also be transmitted into the audio and sent out from the loudspeaker, and the voice analysis system is matched with the cloud server to perform related pseudo-removing processing and then selects whether to switch on a voice channel to finish voice talkback; after the server obtains the pickup voice signal, back-end processing can be carried out, such as voice and semantic recognition, and then the next operation is determined, wherein the lithium battery is used for supplying power to the monitoring equipment; the wireless module is used for wirelessly transmitting data.
Preferably, the cloud server comprises an Ali voice recognition cloud, a voice analysis module and an intelligent voice interaction module, the Ali voice recognition cloud is used for receiving text sent back after audio data recognition and returning, and the intelligent voice interaction module is used for intelligently talking with the old after receiving the audio data of the old and inquiring whether help is needed or not.
Preferably, the voice subsystem comprises a voice playing and collecting subsystem, a voice data converting and storing subsystem and a voice transmission system, the voice playing and collecting subsystem mainly realizes local voice playing and collecting, the voice data converting and storing subsystem mainly realizes conversion and storage of voice data, and the voice transmission system mainly realizes data communication with the back-end cloud server.
Preferably, the voice playing and collecting subsystem system adopts I2S and I2C interfaces to control and connect with the main control processor, and completes the functions of playing and collecting related voice; the system adopts a dual-channel mode of independent playing and pickup in the earlier stage, so that relevant parameters can be corrected conveniently according to actual conditions.
Preferably, the voice data conversion and storage subsystem mainly completes data processing of two channels, and one part is conversion of local pickup data; the voice data received locally through an I2S interface needs to be converted into a voice data block with a fixed format for convenient transmission, the voice data coding adopts PCM coding, 16bit,24KHz, MONO, small-end format, the data issued by the server is downloaded according to the coding format, and the subsequent work is carried out after 500ms data is locally cached.
Preferably, the voice transmission system device is used as a UDP client, connects to a specific server UDP port, establishes a UDP link, and transmits audio using a UDP interface protocol.
Preferably, the cloud server is supervised by customer service staff, if the old people do not respond to the inquiry voice or the artificial intelligence system confirms that the old people fall down, the cloud management system sends an alarm to the customer service staff, and after receiving the alarm, the customer service staff can take over the talkback device to directly talk with the old people and require nursing staff to go to a room where the old people are located to provide help.
Preferably, after receiving a voice opening command, the sensor receives voice inquiry data sent by the server, performs pickup work, and uploads related data to the cloud server according to an audio stream format, and after obtaining a pickup voice signal, the server can perform back-end processing, such as voice and semantic recognition, and then determines the next operation, and whether logic of manual customer service is introduced is determined by the back-end processing of the server.
The working principle is as follows: the millimeter wave radar sensor detects a falling state and sends a falling signal to the cloud server, a control instruction of the cloud server is received and audio data are uploaded, after the millimeter wave radar sensor receives the falling signal, a specific message is sent to the cloud server, the cloud server sends voice to talk with the old people through the Ali voice recognition cloud, the natural analysis system and the intelligent voice interaction module so as to confirm whether the old people need help or not, after relevant pseudo-removing processing is carried out, whether a voice channel is connected or not is selected to finish voice talkback, after the millimeter wave radar sensor receives a voice opening command, voice inquiry data sent by the server are received, pickup work is carried out, relevant data are uploaded to the cloud server according to an audio stream format, after the cloud server obtains a pickup voice signal, an alarm is sent to a customer service person, after the customer service person receives the alarm, the old people talk through a talkback device, and meanwhile, nursing staff are arranged to go to a room where the old people are located to provide rescue.
The invention provides an old people falling monitoring device adopting an artificial intelligent voice interaction mode. The method has the following beneficial effects:
according to the invention, after the falling behavior of the old man is monitored by the millimeter wave radar sensor, a section of inquiry voice is started to inquire whether the old man falls or not, if the voice of the old man is replied, the replied voice is uploaded to the cloud server, the Ali voice recognition cloud and the natural analysis system in the cloud server analyze the replied voice, and the intelligent voice interaction module sends out voice to talk with the old man so as to confirm whether the old man needs help or not, if the old man does not respond to the inquiry voice, the monitoring equipment sends out an alarm to a customer service staff through the cloud server, after the customer service staff receives the alarm, the customer service staff can take over the talkback device to talk with the old man directly and ask a nursing staff to provide help to the room where the old man is located, and the falling alarm is confirmed for the second time in an artificial intelligent voice interaction mode, so that the false alarm can be greatly reduced, the nursing and helping efficiency and accuracy are improved, and the invalid action of the nursing staff caused by the false alarm can be effectively avoided, and other more urgent works can be influenced.
Drawings
FIG. 1 is a schematic view of a monitoring device according to the present invention;
FIG. 2 is a schematic structural diagram of a cloud server according to the present invention;
FIG. 3 is a schematic diagram of a speech analysis system according to the present invention;
FIG. 4 is a schematic diagram of the functional connections of the devices of the system of the present invention;
fig. 5 is a schematic flowchart of the interaction between the device and the server according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Example (b):
as shown in fig. 1, an embodiment of the present invention provides an old people falling monitoring device using an artificial intelligence voice interaction manner, including a speaker, a bidirectional conversation microphone, a digital audio conversion module, a wireless module, a millimeter wave radar sensor, a lithium battery, and a cloud server; the millimeter wave radar sensor detects a falling state, sends a falling signal to the cloud server, receives a control command of the cloud server and uploads audio data, and after monitoring the falling behavior of the old, the millimeter wave radar sensor starts a section of inquiry voice to inquire whether the old falls or not; the bidirectional conversation microphone records the voice replied by the old and uploads the voice to the cloud server, the cloud server analyzes the replied voice, and the voice talks with the old through the bidirectional conversation microphone and the loudspeaker to confirm whether the old needs help; the digital audio conversion module is used for converting audio between audio and digital signals, converting voice of the equipment end into the digital signals and sending the digital signals to the cloud server, meanwhile, the digital signals sent by the cloud server can also be transmitted into the audio and sent out from the loudspeaker, and the voice analysis system is matched with the cloud server to perform related pseudo-removing processing and then selects whether to switch on a voice channel to finish voice talkback; after the server obtains the picked-up voice signal, back-end processing such as voice and semantic recognition can be carried out, then the next operation is determined, and the lithium battery is used for supplying power to the monitoring equipment; the wireless module is used for wirelessly transmitting data.
As shown in fig. 2-3, the cloud server includes an ali voice recognition cloud, a voice analysis module, and an intelligent voice interaction module, the ali voice recognition cloud is used for receiving and returning text after audio data recognition, the intelligent voice interaction module is used for receiving and intelligently talking with the old people after the old people's audio data are received, inquiring whether help is needed, recognizing the falling state authenticity and controlling playing of preset voice forwarding site voice data to the ali voice recognition cloud, the cloud server performs service logic skip according to a return structure, the voice subsystem includes a voice playing and collecting subsystem, a voice data converting and storing subsystem, and a voice transmission system, the voice playing and collecting subsystem mainly realizes local voice playing and collecting, the voice data converting and storing subsystem mainly realizes voice data conversion and storage, and the voice transmission system mainly realizes data communication with the back-end cloud server;
the voice playing and collecting subsystem system adopts I2S and I2C interfaces to control and connect with the main control processor, and completes the functions of relevant voice playing and collecting; the system adopts a dual-channel mode of independent playing and pickup in the earlier stage, so that relevant parameters can be corrected conveniently according to actual conditions, and the voice data conversion and storage subsystem mainly completes data processing of two channels, and one part is conversion of local pickup data; the voice data received locally through an interface of I2S needs to be converted into a voice data block with a fixed format for convenient transmission, the voice data coding adopts PCM coding, 16bit,24KHz, MONO and a small-end format, the server issuing data is downloaded according to the coding format, subsequent work is carried out after 500ms data is locally cached, the voice transmission system equipment is used as a client of UDP, is connected with a specific server UDP port, a UDP link is established, the audio transmission adopts a UDP interface protocol, the interface is simple and easy to realize, and the protocol is defined:
| Head | ID (Equipment ID) | Audio data | FCS |
| “ZTT” | 0x1111 | PCM encoded data | CRC16 |
As shown in fig. 4-5, the cloud server is supervised by the customer service staff, if the old man does not respond to the inquiry voice or the artificial intelligence system confirms that the old man falls down, the cloud management system sends an alarm to the customer service staff, after receiving the alarm, the customer service staff can take over the direct conversation between the intercom and the old man and require the nursing staff to go to the room where the old man is located for help, after receiving the command of opening the voice, the sensor receives the voice inquiry data sent by the server, then carries out the pickup work, and uploads the relevant data to the cloud server according to the audio stream format, after obtaining the pickup voice signal, the server can carry out the back-end processing, such as voice and semantic recognition, then decides the next operation, whether the logic of introducing the artificial customer service is decided by the back-end processing of the server, after monitoring the action of falling down of the millimeter wave by the radar sensor, firstly, a section of inquiry voice is started to inquire whether the old man falls down, if the voice of the old man is replied, the replied voice is uploaded to a cloud server, an Ali voice recognition cloud and a natural analysis system in the cloud server are used for analyzing the replied voice, and a voice is sent out through an intelligent voice interaction module to talk with the old man so as to confirm whether the old man needs help, if the old man does not respond to the inquiry voice, monitoring equipment sends out an alarm to customer service staff through the cloud server, after receiving the alarm, the customer service staff can take over the talk-over device to talk with the old man directly and require nursing staff to go to a room where the old man is located for providing help, and the fall alarm is confirmed secondarily in an artificial intelligent voice interaction mode, so that false alarm can be greatly reduced, the nursing and help efficiency and accuracy are improved, and false alarm is effectively avoided, resulting in ineffective actions by the caregiver and affecting other, more urgent tasks.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides an old man's monitoring devices that tumbles that adopts artificial intelligence pronunciation interactive mode which characterized in that: the system comprises a loudspeaker, a two-way conversation microphone, a digital audio conversion module, a wireless module, a millimeter wave radar sensor, a lithium battery and a cloud server;
the millimeter wave radar sensor detects a falling state, sends a falling signal to the cloud server, receives a control instruction of the cloud server and uploads audio data, and the cloud server analyzes the replied voice and talks with the old through the bidirectional conversation microphone and the loudspeaker to determine whether the old needs help; the digital audio conversion module is used for converting audio between audio and digital signals, converting voice of an equipment end into digital signals and sending the digital signals to the cloud server, meanwhile, the digital signals sent by the cloud server can also be transmitted into audio and transmitted out from the loudspeaker, and the voice analysis system is matched with the cloud server to perform related pseudo-removing processing and then selects whether to switch on a voice channel to finish voice talkback; the server can perform back-end processing after acquiring the pickup voice signal, and the lithium battery is used for supplying power to the monitoring equipment; the wireless module is used for wirelessly transmitting data.
2. The old people falling monitoring device adopting artificial intelligence voice interaction mode according to claim 1, characterized in that: the cloud server comprises an Ali voice recognition cloud, a voice analysis module and an intelligent voice interaction module, the Ali voice recognition cloud is used for receiving text sent back after audio data recognition, and the intelligent voice interaction module is used for intelligently talking with the old after receiving the audio data of the old to inquire whether help is needed or not.
3. The old people falling monitoring device adopting artificial intelligence voice interaction mode according to claim 2, characterized in that: the voice subsystem comprises a voice playing and collecting subsystem, a voice data converting and storing subsystem and a voice transmission system, wherein the voice playing and collecting subsystem mainly realizes local voice playing and collecting, the voice data converting and storing subsystem mainly realizes conversion and storage of voice data, and the voice transmission system mainly realizes data communication with a rear-end cloud server.
4. The elderly people falling monitoring device adopting artificial intelligence voice interaction mode according to claim 3, characterized in that: the voice playing and collecting subsystem system adopts I2S and I2C interfaces to control and connect with the main control processor to complete the functions of related voice playing and collecting; the system adopts a dual-channel mode of independent playing and pickup in the earlier stage, so that relevant parameters can be corrected conveniently according to actual conditions.
5. The elderly people falling monitoring device adopting artificial intelligence voice interaction mode according to claim 3, characterized in that: the voice data conversion and storage subsystem mainly completes data processing of two channels, and one part is conversion of local pickup data; the voice data received locally through an I2S interface needs to be converted into a voice data block with a fixed format for convenient transmission, the voice data coding adopts PCM coding, 16bit,24KHz, MONO, small-end format, the data issued by the server is downloaded according to the coding format, and the subsequent work is carried out after 500ms data is locally cached.
6. The old people falling monitoring device adopting artificial intelligence voice interaction mode according to claim 3, characterized in that: the voice transmission system device is used as a UDP client and connected with a specific server UDP port to establish a UDP link, and the audio transmission adopts a UDP interface protocol.
7. The old people falling monitoring device adopting artificial intelligence voice interaction mode according to claim 1, characterized in that: the cloud server is supervised by customer service staff, if the old people do not respond to the inquiry voice or the artificial intelligence system confirms that the old people fall down, the cloud management system sends an alarm to the customer service staff, and after receiving the alarm, the customer service staff can take over the intercom device to directly talk with the old people and require nursing staff to go to a room where the old people are located to provide help.
8. The old people falling monitoring device adopting artificial intelligence voice interaction mode according to claim 1, characterized in that: the sensor receives voice inquiry data sent by the server after receiving a voice opening command, then carries out pickup work, and uploads related data to the cloud server according to an audio stream format, and after the server obtains a pickup voice signal, the server can carry out back-end processing and then determines the next operation, and whether logic of introducing manual customer service is determined by the back-end processing of the server.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117269957A (en) * | 2023-11-21 | 2023-12-22 | 天津爱仕凯睿科技发展有限公司 | Human body falling detection method and system based on radar detection technology |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117269957A (en) * | 2023-11-21 | 2023-12-22 | 天津爱仕凯睿科技发展有限公司 | Human body falling detection method and system based on radar detection technology |
| CN117269957B (en) * | 2023-11-21 | 2024-02-13 | 天津爱仕凯睿科技发展有限公司 | Human body falling detection method and system based on radar detection technology |
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