CN105321293A - Danger detection and warning method and danger detection and warning smart device - Google Patents

Danger detection and warning method and danger detection and warning smart device Download PDF

Info

Publication number
CN105321293A
CN105321293A CN201410479798.2A CN201410479798A CN105321293A CN 105321293 A CN105321293 A CN 105321293A CN 201410479798 A CN201410479798 A CN 201410479798A CN 105321293 A CN105321293 A CN 105321293A
Authority
CN
China
Prior art keywords
sound
decibel
weak population
default
sound detected
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201410479798.2A
Other languages
Chinese (zh)
Inventor
郑战海
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Genius Technology Co Ltd
Original Assignee
Guangdong Genius Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Genius Technology Co Ltd filed Critical Guangdong Genius Technology Co Ltd
Priority to CN201410479798.2A priority Critical patent/CN105321293A/en
Publication of CN105321293A publication Critical patent/CN105321293A/en
Pending legal-status Critical Current

Links

Landscapes

  • Emergency Alarm Devices (AREA)
  • Alarm Systems (AREA)

Abstract

The present invention is applicable to the field of the smart device, and provides a danger detection and warning method and a danger detection and warning smart device. The danger detection and warning method comprises: detecting whether the motion state of a vulnerable group is changed or not; detecting sound around the vulnerable group when the motion state of the vulnerable group is changed; determining whether the similarity of characteristics of detected sound and characteristics of a preset sound exceeds a preset similarity threshold or not, and/or, determining whether the decibel of the detected sound is larger than a preset decibel; recording detected sound and obtaining position information where the vulnerable group is located when the similarity of characteristics of detected sound and characteristics of the preset sound exceeds the preset similarity threshold, and/or, when the decibel of the detected sound is larger than the preset decibel; and sending recorded sound and the position information where the vulnerable group is located to an assigned smart terminal. The embodiment of the present invention is helpful in doing saving the electric quantity of the danger detection and danger warning smart device.

Description

A kind of hazard detection based reminding method and smart machine
Technical field
The invention belongs to smart machine field, particularly relate to a kind of hazard detection based reminding method and smart machine.
Background technology
The safety of going out of weak population (being often referred to the crowd needing protection, as old man, pregnant woman, children) is the focus that one family is paid close attention to.
At present, normally on the smart machines such as cell phone, increase locating module, when weak population holds this smart machine, this smart machine obtains corresponding positional information by the locating module increased, and this positional information is pushed on the smart machine of specifying.Like this, the holder of the smart machine of specifying will know the positional information of its weak population paid close attention to.But the method is still difficult to know whether weak population faces a danger in time.Such as, if the weak population faced a danger is ignorant of emergency, then household is difficult to judge that weak population is the need of help by means of only the positional information known.
Summary of the invention
Embodiments provide a kind of hazard detection based reminding method, be intended to solve the problem that the quantity of information of existing method acquisition is very few.
The embodiment of the present invention is achieved in that a kind of hazard detection based reminding method, and described method comprises the steps:
Whether the motion state detecting weak population changes;
When the motion state of weak population changes, detect the sound around weak population;
Judge whether the feature of the sound detected exceedes default similar threshold value with the similarity of the feature of the sound preset, and/or, judge whether the decibel of the sound detected is greater than default decibel;
Default similar threshold value is exceeded with the similarity of the feature of the sound preset in the feature of the sound detected, and/or, when the decibel of the sound detected is greater than default decibel, record the sound detected and the positional information obtaining weak population place;
The positional information at the sound of recording and weak population place is sent to the intelligent terminal of specifying.
Another object of the embodiment of the present invention is the smart machine providing a kind of hazard detection to remind, and described smart machine comprises:
Whether Motion detecting unit, change for the motion state detecting weak population;
Sound detection unit, for when the motion state of weak population changes, detects the sound around weak population;
Condition judgment unit, for judging whether the feature of the sound detected exceedes default similar threshold value with the similarity of the feature of the sound preset, and/or, judge whether the decibel of the sound detected is greater than default decibel;
Weak population information acquisition unit, default similar threshold value is exceeded with the similarity of the feature of the sound preset for the feature at the sound detected, and/or, when the decibel of the sound detected is greater than default decibel, record the sound detected and the positional information obtaining weak population place;
Weak population information transmitting unit, for being sent to the intelligent terminal of specifying by the positional information at the sound of recording and weak population place.
In embodiments of the present invention, because intelligent terminal obtains the sound of weak population and the positional information of this weak population, the holder therefore contributing to intelligent terminal judges whether weak population is in danger, and reduces the probability of erroneous judgement.Further, owing to just adopting when the motion state of weak population changes MIC to detect sound around this weak population, decrease the working time of MIC, save the electricity of smart machine.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a kind of hazard detection based reminding method that first embodiment of the invention provides;
Fig. 2 is the structural drawing of the smart machine of a kind of hazard detection prompting that second embodiment of the invention provides.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
In the embodiment of the present invention, the sound around weak population is detected when detecting that the motion state of weak population changes, judge whether the feature of the sound detected exceedes default similar threshold value with the similarity of the feature of the sound preset, and/or, judge whether the decibel of the sound detected is greater than default decibel, and when above-mentioned condition all meets, record the sound detected and the positional information obtaining weak population place, finally the positional information at the sound of recording and weak population place is sent to the intelligent terminal of specifying.
In order to technical solutions according to the invention are described, be described below by specific embodiment.
embodiment one:
Fig. 1 shows the process flow diagram of a kind of hazard detection based reminding method that first embodiment of the invention provides, in the present embodiment, weak population is worn or is held a smart machine, this smart machine matches with the intelligent terminal of specifying in advance, when smart machine detects that weak population possibility is dangerous, the sound and the positional information that obtain weak population are sent to the intelligent terminal of specifying, and details are as follows:
Step S11, whether the motion state detecting weak population changes.
In this step, the motion state of a people is by motion sensor senses.As detected by motion sensors such as gravity sensor, acceleration transducer, gyroscopes.When the motion state of people changes, its center of gravity and/or acceleration all may change: such as, and suppose that a child has fallen down, his center of gravity will change; When child's burst is run, his speed also will change.And when the motion state of people changes, show that it may be dangerous.Therefore, by judging whether the center of gravity of people changes, and/or judge whether the acceleration of people changes etc. and judge whether the motion state of people sends change.
Wherein, when judging the motion state of weak population according to the center of gravity of weak population, the step whether motion state of described detection weak population changes specifically comprises:
A1, judge whether the center of gravity of weak population changes.In this step, possess by gravity sensor etc. the center of gravity of sensor to weak population detecting center of gravity and detect.Such as, presetting the time interval that a center of gravity detects, as being set as 10 seconds, supposing the center of gravity that have detected weak population 1 second time, 11 seconds time, then detect the center of gravity of this weak population again, two the adjacent centers of gravity comparing detection just can judge whether the center of gravity of weak population changes.
A2, when the center of gravity of weak population changes, judge whether the scope of gravity center shift is greater than default center of gravity threshold value.In this step, the center of gravity threshold value preset is usually relevant with the height of the weak population detecting center of gravity.Such as, when detecting the higher Falls Among Old People of center of gravity, gravity center shift during the usually shorter Falls Among Old People of the change of its center of gravity wants large.
A3, when the scope of gravity center shift is greater than default center of gravity threshold value, judge that the state of weak population changes.Certainly, if when the scope of gravity center shift is less than or equal to default center of gravity threshold value, judge that the state of weak population does not change.
Step S12, when the motion state of weak population changes, detects the sound around weak population.
In this step, after judging that the motion state of disadvantaged group changes, unlatching microphone (microphone, MIC) detects the sound around this weak population.Due to the motion state only in disadvantaged group change after just open MIC, therefore, be conducive to saving the power consumption of MIC, and reduce the loss of equipment.
Step S13, judges whether the feature of the sound detected exceedes default similar threshold value with the similarity of the feature of the sound preset, and/or, judge whether the decibel of the sound detected is greater than default decibel.
In this step, because people is when causing danger, the sound of may utter a scream, crying and shout, and scream, the frequency of the sound of crying and shout, decibel be higher than the frequency of normally speaking, decibel, therefore, whether the feature (as frequency distribution feature, temporal signatures) of the sound detected and the similarity of the feature of the sound preset can be exceeded default similar threshold value, and/or, by the decibel of the sound of detection compared with the decibel preset, to judge that whether people is in the hole.
Preferably, the decibel preset is relevant with the individuality of detection.Such as, some individual normal one's voice in speech is comparatively loud, then the decibel preset is also larger.
Step S14, default similar threshold value is exceeded with the similarity of the feature of the sound preset in the feature of the sound detected, and/or, when the decibel of the sound detected is greater than default decibel, record the sound detected and the positional information obtaining weak population place.
In this step, obtain the positional information at weak population place by technology such as gps satellite location, bluetooth location, WIFI network location, Big Dipper location.Wherein, the positional information of acquisition comprises the concrete road name at weak population place, the title etc. of the landmark building near the position that can also comprise this weak population place.
Wherein, the feature of the described sound detecting exceedes default similar threshold value with the similarity of the feature of the sound preset, and/or when the decibel of the sound detected is greater than default decibel, the step recording the sound detected and the positional information obtaining weak population place specifically comprises:
Whether the frequency distribution feature in B1, the frequency distribution feature judging the sound detected, temporal signatures and Preset Time, the similarity of temporal signatures exceed default similar threshold value.Due to when people is in danger, it may continue for some time all is screaming, and therefore, this step judges frequency distribution feature in the frequency distribution feature of sound, temporal signatures and Preset Time, whether the similarity of temporal signatures exceedes default similar threshold value.
When frequency distribution feature in B2, frequency distribution feature, temporal signatures and Preset Time at the sound detected, the similarity of temporal signatures exceed default similar threshold value, record the sound detected and the positional information obtaining weak population place.In this step, only have the frequency distribution feature in the frequency distribution feature of sound, temporal signatures and Preset Time, the similarity of temporal signatures is when all exceeding default similar threshold value, just judge that weak population may be in the hole.
Or,
Whether the decibel of the sound that C1, judgement detect all is greater than default decibel in Preset Time.
C2, when the decibel of the sound detected all is greater than default decibel in Preset Time, records the sound that detects and obtain the positional information at weak population place.
Or,
Whether the frequency distribution feature in D1, the frequency distribution feature judging the sound detected, temporal signatures and Preset Time, the similarity of temporal signatures exceed default similar threshold value.
When frequency distribution feature in D2, frequency distribution feature, temporal signatures and Preset Time at the sound detected, the similarity of temporal signatures exceed default similar threshold value, judge whether the decibel of the sound detected all is greater than default decibel in Preset Time.
D3, when the decibel of the sound detected all is greater than default decibel in Preset Time, records the sound that detects and obtain the positional information at weak population place.
Because the similarity of the frequency distribution feature in the frequency distribution feature of sound detected, temporal signatures and Preset Time, temporal signatures exceedes default similar threshold value, and/or, when the decibel of the sound detected is greater than default decibel, just record the sound detected and obtain the positional information at weak population place, therefore, the accessory of recorded voice can be reduced and obtain the startup of accessory of positional information, thus can the effective resource such as save power.
Step S15, is sent to the intelligent terminal of specifying by the positional information at the sound of recording and weak population place.
In this step, the intelligent terminal of specifying is generally the household paying close attention to weak population and holds.When the intelligent terminal for reception of specifying is to the sound recorded, the holder of this intelligent terminal of specifying plays the sound of recording, judges that whether weak population is in the hole, to take appropriate measures.Such as, when it judges that weak population is in danger, it can search weak population according to the positional information received.
Preferably, after the described positional information by the sound of recording and weak population place is sent to the step of the intelligent terminal of specifying, comprise the steps:
Start the prompting function of described intelligent terminal, receive the information of weak population to make the holder of described intelligent terminal know.In this step, smart machine obtains the mandate of the prompting function starting intelligent terminal in advance, if when smart machine judges that intelligent terminal does not arrange prompting function, then start the prompting function of described intelligent terminal, making intelligent terminal when receiving the information of weak population, sending prompting message, as sent voice reminder, or inform by short message, or the tinkle of bells is reminded (as alarm bell is reminded) etc.
Preferably, after the described positional information by the sound of recording and weak population place is sent to the step of the intelligent terminal of specifying, comprise the steps:
E1, receive described intelligent terminal send call request; When the holder of intelligent terminal judges that weak population is on the line, the call request of the smart machine held with weak population will be initiated.
E2, the automatically described call request of acceptance, directly to converse with described intelligent terminal.In this step, after smart machine receives the call request of intelligent terminal initiation, directly accept this call request, like this, save weak population and be confirmed whether the time accepting call request, thus make the holder of intelligent terminal can know the current residing state of weak population in time.
In the first embodiment of the invention, the sound around weak population is detected when detecting that the motion state of weak population changes, judge whether the feature of the sound detected exceedes default similar threshold value with the similarity of the feature of the sound preset, and/or, judge whether the decibel of the sound detected is greater than default decibel, and when above-mentioned condition all meets, record the sound detected and the positional information obtaining weak population place, finally the positional information at the sound of recording and weak population place is sent to the intelligent terminal of specifying.Because intelligent terminal obtains the sound of weak population and the positional information of this weak population, the holder therefore contributing to intelligent terminal judges whether weak population is in danger, and reduces the probability of erroneous judgement.Further, owing to just adopting when the motion state of weak population changes MIC to detect sound around this weak population, decrease the working time of MIC, save the electricity of smart machine.
embodiment two:
The structural drawing of the smart machine that a kind of hazard detection that Fig. 2 shows second embodiment of the invention to be provided is reminded, the smart machine that hazard detection is reminded possesses call function, positioning function etc., and it can be portable wearable device, as bracelet.For convenience of explanation, illustrate only the part relevant to the embodiment of the present invention.
The smart machine that this hazard detection is reminded comprises: Motion detecting unit 21, sound detection unit 22, condition judgment unit 23, weak population information acquisition unit 24, weak population information transmitting unit 25.Wherein:
Whether Motion detecting unit 21, change for the motion state detecting weak population.
Motion state is by motion sensor senses.As detected by motion sensors such as gravity sensor, acceleration transducer, gyroscopes.
Wherein, described Motion detecting unit 21 comprises:
Center of gravity detection module, for judging whether the center of gravity of weak population changes.Particularly, possess by gravity sensor etc. the center of gravity of sensor to weak population detecting center of gravity to detect.
Center of gravity comparison module, for when the center of gravity of weak population changes, judges whether the scope of gravity center shift is greater than default center of gravity threshold value.Particularly, the center of gravity threshold value preset is usually relevant with the height of the weak population detecting center of gravity.
Gravity center shift module, during for being greater than default center of gravity threshold value in the scope of gravity center shift, judges that the state of weak population changes.
Sound detection unit 22, for when the motion state of weak population changes, detects the sound around weak population.
Particularly, this sound detection unit 22 is MIC.
Condition judgment unit 23, for judging whether the feature of the sound detected exceedes default similar threshold value with the similarity of the feature of the sound preset, and/or, judge whether the decibel of the sound detected is greater than default decibel.
Wherein, the decibel preset is relevant with the individuality of detection.
Weak population information acquisition unit 24, default similar threshold value is exceeded with the similarity of the feature of the sound preset for the feature at the sound detected, and/or, when the decibel of the sound detected is greater than default decibel, record the sound detected and the positional information obtaining weak population place.
Particularly, the positional information at weak population place is obtained by technology such as gps satellite location, bluetooth location, WIFI network location, Big Dipper location.Wherein, the positional information of acquisition comprises the concrete road name at weak population place, the title etc. of the landmark building near the position that can also comprise this weak population place.
Wherein, described weak population information acquisition unit 24 comprises:
First frequency comparison module, for judging frequency distribution feature in the frequency distribution feature of the sound detected, temporal signatures and Preset Time, whether the similarity of temporal signatures exceed default similar threshold value.
First sound recording module, when similarity for the frequency distribution feature in the frequency distribution feature of the sound detected, temporal signatures and Preset Time, temporal signatures exceedes default similar threshold value, record the sound detected and the positional information obtaining weak population place.
Or,
First decibel of detection module, for judging whether the decibel of the sound detected all is greater than default decibel in Preset Time.
Second sound recording module, when being all greater than default decibel for the decibel at the sound detected in Preset Time, records the sound detected and the positional information obtaining weak population place.
Or,
Second frequency comparison module, for judging frequency distribution feature in the frequency distribution feature of the sound detected, temporal signatures and Preset Time, whether the similarity of temporal signatures exceed default similar threshold value.
Second decibel of comparison module, when similarity for the frequency distribution feature in the frequency distribution feature of the sound detected, temporal signatures and Preset Time, temporal signatures exceedes default similar threshold value, judge whether the decibel of the sound detected all is greater than default decibel in Preset Time.
3rd sound recording module, when being all greater than default decibel for the decibel at the sound detected in Preset Time, records the sound detected and the positional information obtaining weak population place.
Weak population information transmitting unit 25, for being sent to the intelligent terminal of specifying by the positional information at the sound of recording and weak population place.
Because the similarity of the frequency distribution feature in the frequency distribution feature of the sound detected, temporal signatures and Preset Time, temporal signatures exceedes default similar threshold value, and/or, when the decibel of the sound detected is greater than default decibel, just record the sound detected and obtain the positional information at weak population place, therefore, the accessory of recorded voice can be reduced and obtain the startup of accessory of positional information, thus can the effective resource such as save power.
Preferably, the smart machine that described hazard detection is reminded comprises:
Prompting function start unit, for starting the prompting function of described intelligent terminal, receives the information of weak population to make the holder of described intelligent terminal know.
Smart machine obtains the mandate of the prompting function starting intelligent terminal in advance, if when smart machine judges that intelligent terminal does not arrange prompting function, then start the prompting function of described intelligent terminal, make intelligent terminal when receiving the information of weak population, send prompting message, as sent voice reminder, or inform by short message, or the tinkle of bells is reminded (as alarm bell is reminded) etc.
Preferably, the smart machine that described hazard detection is reminded comprises:
Call request receiving element, for receiving the call request that described intelligent terminal sends.
The automatic receiving unit of call request, for automatically accepting described call request, directly to converse with described intelligent terminal.
Due to receive when smart machine intelligent terminal initiate call request after, directly accept this call request, like this, save weak population and be confirmed whether the time accepting call request, thus make the holder of intelligent terminal can know the current residing state of weak population in time.
In embodiments of the present invention, because intelligent terminal obtains the sound of weak population and the positional information of this weak population, the holder therefore contributing to intelligent terminal judges whether weak population is in danger, and reduces the probability of erroneous judgement.Further, owing to just adopting when the motion state of weak population changes MIC to detect sound around this weak population, decrease the working time of MIC, save the electricity of smart machine.
One of ordinary skill in the art will appreciate that, the all or part of step realized in above-described embodiment method is that the hardware that can carry out instruction relevant by program has come, described program can be stored in a computer read/write memory medium, described storage medium, as ROM/RAM, disk, CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1. a hazard detection based reminding method, is characterized in that, described method comprises the steps:
Whether the motion state detecting weak population changes;
When the motion state of weak population changes, detect the sound around weak population;
Judge whether the feature of the sound detected exceedes default similar threshold value with the similarity of the feature of the sound preset, and/or, judge whether the decibel of the sound detected is greater than default decibel;
Default similar threshold value is exceeded with the similarity of the feature of the sound preset in the feature of the sound detected, and/or, when the decibel of the sound detected is greater than default decibel, record the sound detected and the positional information obtaining weak population place;
The positional information at the sound of recording and weak population place is sent to the intelligent terminal of specifying.
2. the method for claim 1, is characterized in that, the step whether motion state of described detection weak population changes specifically comprises:
Judge whether the center of gravity of weak population changes;
When the center of gravity of weak population changes, judge whether the scope of gravity center shift is greater than default center of gravity threshold value;
When the scope of gravity center shift is greater than default center of gravity threshold value, judge that the state of weak population changes.
3. the method for claim 1, it is characterized in that, the feature of the described sound detecting exceedes default similar threshold value with the similarity of the feature of the sound preset, and/or, when the decibel of the sound detected is greater than default decibel, the step recording the sound detected and the positional information obtaining weak population place specifically comprises:
Judge the frequency distribution feature in the frequency distribution feature of sound, temporal signatures and the Preset Time that detect, whether the similarity of temporal signatures exceed default similar threshold value;
When frequency distribution feature in the frequency distribution feature of the sound detected, temporal signatures and Preset Time, the similarity of temporal signatures exceed default similar threshold value, record the sound detected and the positional information obtaining weak population place;
Or,
Judge whether the decibel of the sound detected all is greater than default decibel in Preset Time;
When the decibel of the sound detected all is greater than default decibel in Preset Time, record the sound detected and the positional information obtaining weak population place;
Or,
Judge the frequency distribution feature in the frequency distribution feature of sound, temporal signatures and the Preset Time that detect, whether the similarity of temporal signatures exceed default similar threshold value;
When frequency distribution feature in the frequency distribution feature of the sound detected, temporal signatures and Preset Time, the similarity of temporal signatures exceed default similar threshold value, judge whether the decibel of the sound detected all is greater than default decibel in Preset Time;
When the decibel of the sound detected all is greater than default decibel in Preset Time, record the sound detected and the positional information obtaining weak population place.
4. the method for claim 1, is characterized in that, after the described positional information by the sound of recording and weak population place is sent to the step of the intelligent terminal of specifying, comprises the steps:
Start the prompting function of described intelligent terminal, receive the information of weak population to make the holder of described intelligent terminal know.
5. the method for claim 1, is characterized in that, after the described positional information by the sound of recording and weak population place is sent to the step of the intelligent terminal of specifying, comprises the steps:
Receive the call request that described intelligent terminal sends;
The described call request of automatic acceptance, directly to converse with described intelligent terminal.
6. a smart machine for hazard detection prompting, it is characterized in that, described smart machine comprises:
Whether Motion detecting unit, change for the motion state detecting weak population;
Sound detection unit, for when the motion state of weak population changes, detects the sound around weak population;
Condition judgment unit, for judging whether the feature of the sound detected exceedes default similar threshold value with the similarity of the feature of the sound preset, and/or, judge whether the decibel of the sound detected is greater than default decibel;
Weak population information acquisition unit, default similar threshold value is exceeded with the similarity of the feature of the sound preset for the feature at the sound detected, and/or, when the decibel of the sound detected is greater than default decibel, record the sound detected and the positional information obtaining weak population place;
Weak population information transmitting unit, for being sent to the intelligent terminal of specifying by the positional information at the sound of recording and weak population place.
7. smart machine as claimed in claim 6, it is characterized in that, described Motion detecting unit comprises:
Center of gravity detection module, for judging whether the center of gravity of weak population changes;
Center of gravity comparison module, for when the center of gravity of weak population changes, judges whether the scope of gravity center shift is greater than default center of gravity threshold value;
Gravity center shift module, during for being greater than default center of gravity threshold value in the scope of gravity center shift, judges that the state of weak population changes.
8. smart machine as claimed in claim 6, it is characterized in that, described weak population information acquisition unit comprises:
First frequency comparison module, for judging frequency distribution feature in the frequency distribution feature of the sound detected, temporal signatures and Preset Time, whether the similarity of temporal signatures exceed default similar threshold value;
First sound recording module, when similarity for the frequency distribution feature in the frequency distribution feature of the sound detected, temporal signatures and Preset Time, temporal signatures exceedes default similar threshold value, record the sound detected and the positional information obtaining weak population place;
Or,
First decibel of detection module, for judging whether the decibel of the sound detected all is greater than default decibel in Preset Time;
Second sound recording module, when being all greater than default decibel for the decibel at the sound detected in Preset Time, records the sound detected and the positional information obtaining weak population place;
Or,
Second frequency comparison module, for judging frequency distribution feature in the frequency distribution feature of the sound detected, temporal signatures and Preset Time, whether the similarity of temporal signatures exceed default similar threshold value;
Second decibel of comparison module, when similarity for the frequency distribution feature in the frequency distribution feature of the sound detected, temporal signatures and Preset Time, temporal signatures exceedes default similar threshold value, judge whether the decibel of the sound detected all is greater than default decibel in Preset Time;
3rd sound recording module, when being all greater than default decibel for the decibel at the sound detected in Preset Time, records the sound detected and the positional information obtaining weak population place.
9. smart machine as claimed in claim 6, it is characterized in that, described smart machine comprises:
Prompting function start unit, for starting the prompting function of described intelligent terminal, receives the information of weak population to make the holder of described intelligent terminal know.
10. smart machine as claimed in claim 6, it is characterized in that, described smart machine comprises:
Call request receiving element, for receiving the call request that described intelligent terminal sends;
The automatic receiving unit of call request, for automatically accepting described call request, directly to converse with described intelligent terminal.
CN201410479798.2A 2014-09-18 2014-09-18 Danger detection and warning method and danger detection and warning smart device Pending CN105321293A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410479798.2A CN105321293A (en) 2014-09-18 2014-09-18 Danger detection and warning method and danger detection and warning smart device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410479798.2A CN105321293A (en) 2014-09-18 2014-09-18 Danger detection and warning method and danger detection and warning smart device

Publications (1)

Publication Number Publication Date
CN105321293A true CN105321293A (en) 2016-02-10

Family

ID=55248595

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410479798.2A Pending CN105321293A (en) 2014-09-18 2014-09-18 Danger detection and warning method and danger detection and warning smart device

Country Status (1)

Country Link
CN (1) CN105321293A (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106023541A (en) * 2016-06-21 2016-10-12 深圳市金立通信设备有限公司 Method for prompting user and terminal
CN106094506A (en) * 2016-06-01 2016-11-09 北京小米移动软件有限公司 Intelligent watch operational approach and device
CN106303836A (en) * 2016-11-15 2017-01-04 广东小天才科技有限公司 A kind of method and device regulating played in stereo
CN106530610A (en) * 2016-09-28 2017-03-22 北京奇虎科技有限公司 Mobile terminal and method and device for detecting tumble of person
CN106533594A (en) * 2017-01-04 2017-03-22 上海量明科技发展有限公司 Broadcast and unmanned aerial vehicle combined system and implementation method thereof
CN107517207A (en) * 2017-03-13 2017-12-26 平安科技(深圳)有限公司 Server, auth method and computer-readable recording medium
CN109222904A (en) * 2018-08-29 2019-01-18 广东工业大学 A kind of the elderly's safe condition determination method and device based on multidimensional data
CN109345767A (en) * 2018-10-19 2019-02-15 广东小天才科技有限公司 Safety prompt function method, apparatus, equipment and the storage medium of wearable device user
CN109559477A (en) * 2018-12-24 2019-04-02 绿瘦健康产业集团有限公司 Unmanned gymnasium indoor intelligent monitoring and managing method, device, terminal device and medium
CN110875956A (en) * 2019-11-21 2020-03-10 刘肇基 Student safety monitoring system based on Internet of things
CN116721390A (en) * 2023-08-09 2023-09-08 克伦斯(天津)轨道交通技术有限公司 Subway train passenger state determining method and system based on data processing

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101742981A (en) * 2007-02-16 2010-06-16 希盟(中国)科技有限公司 Wearable mini-size intelligent healthcare system
US20110316702A1 (en) * 2010-06-25 2011-12-29 Hon Hai Precision Industry Co., Ltd. Electronic device with automatic notification function for personal emergency and method thereof
WO2012015412A1 (en) * 2010-07-29 2012-02-02 J & M I.P. Holding Company, Llc Fall-responsive emergency device, system, and method
CN102737480A (en) * 2012-07-09 2012-10-17 广州市浩云安防科技股份有限公司 Abnormal voice monitoring system and method based on intelligent video
CN103873689A (en) * 2014-03-12 2014-06-18 深圳市中兴移动通信有限公司 Method and device for safety reminding
CN104050774A (en) * 2014-05-22 2014-09-17 深圳奇沃智联科技有限公司 Worn type electronic watch ring piece with video function

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101742981A (en) * 2007-02-16 2010-06-16 希盟(中国)科技有限公司 Wearable mini-size intelligent healthcare system
US20110316702A1 (en) * 2010-06-25 2011-12-29 Hon Hai Precision Industry Co., Ltd. Electronic device with automatic notification function for personal emergency and method thereof
WO2012015412A1 (en) * 2010-07-29 2012-02-02 J & M I.P. Holding Company, Llc Fall-responsive emergency device, system, and method
CN102737480A (en) * 2012-07-09 2012-10-17 广州市浩云安防科技股份有限公司 Abnormal voice monitoring system and method based on intelligent video
CN103873689A (en) * 2014-03-12 2014-06-18 深圳市中兴移动通信有限公司 Method and device for safety reminding
CN104050774A (en) * 2014-05-22 2014-09-17 深圳奇沃智联科技有限公司 Worn type electronic watch ring piece with video function

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106094506A (en) * 2016-06-01 2016-11-09 北京小米移动软件有限公司 Intelligent watch operational approach and device
CN106023541A (en) * 2016-06-21 2016-10-12 深圳市金立通信设备有限公司 Method for prompting user and terminal
CN106530610A (en) * 2016-09-28 2017-03-22 北京奇虎科技有限公司 Mobile terminal and method and device for detecting tumble of person
CN106303836A (en) * 2016-11-15 2017-01-04 广东小天才科技有限公司 A kind of method and device regulating played in stereo
CN106533594A (en) * 2017-01-04 2017-03-22 上海量明科技发展有限公司 Broadcast and unmanned aerial vehicle combined system and implementation method thereof
CN107517207A (en) * 2017-03-13 2017-12-26 平安科技(深圳)有限公司 Server, auth method and computer-readable recording medium
CN109222904A (en) * 2018-08-29 2019-01-18 广东工业大学 A kind of the elderly's safe condition determination method and device based on multidimensional data
CN109345767A (en) * 2018-10-19 2019-02-15 广东小天才科技有限公司 Safety prompt function method, apparatus, equipment and the storage medium of wearable device user
CN109345767B (en) * 2018-10-19 2020-11-20 广东小天才科技有限公司 Safety reminding method, device, equipment and storage medium for wearable equipment user
CN109559477A (en) * 2018-12-24 2019-04-02 绿瘦健康产业集团有限公司 Unmanned gymnasium indoor intelligent monitoring and managing method, device, terminal device and medium
CN110875956A (en) * 2019-11-21 2020-03-10 刘肇基 Student safety monitoring system based on Internet of things
CN116721390A (en) * 2023-08-09 2023-09-08 克伦斯(天津)轨道交通技术有限公司 Subway train passenger state determining method and system based on data processing
CN116721390B (en) * 2023-08-09 2023-10-27 克伦斯(天津)轨道交通技术有限公司 Subway train passenger state determining method and system based on data processing

Similar Documents

Publication Publication Date Title
CN105321293A (en) Danger detection and warning method and danger detection and warning smart device
CN103002425B (en) Method and system for automatically triggering emergency calls and mobile terminal
CN108650668B (en) Connection request processing method, Bluetooth headset and wearable device
CN107765891B (en) Microphone control method and microphone
CN104270533B (en) The method and device that a kind of event is reminded
CN101577770A (en) Method and device for realizing automatic recourse of mobile terminal
CN103762692A (en) Mobile power source for achieving anti-lost function of mobile equipment based on environment recognition
CN203206395U (en) Intelligent system for monitoring crimes
CN204990602U (en) Car as a house electronic monitoring system and use car as a house of this system
CN102104669A (en) Intelligent incoming call informing system and method
CN104506717A (en) Alarming method and device for mobile equipment
CN105049587A (en) Mobile phone message safety reminding method and device during driving process of vehicle
CN102152774A (en) Wireless car early warning device
CN111445664A (en) Distress alarm method and device based on keyword 'lifesaving o' and application
CN105354961A (en) Monitoring alarm method and system
CN114666694A (en) Bluetooth headset loss prevention method and electronic equipment
CN104092979A (en) Intelligent doorbell
CN105182730A (en) Alarm clock prompting method and device
CN111462454A (en) Reminding method, device, equipment and storage medium
CN105279897A (en) Vehicle alarming method and device
CN105232051A (en) Children's auto-monitor system based on abnormal speech recognition technique
CN110708626A (en) Earphone loss prevention method and earphone loss prevention
KR101403705B1 (en) Mobile terminal, apparatus and method for alarming emergency using earphone jack in the mobile terminal
CN101729705A (en) Theftproof method and system of bluetooh mobile terminal and bluetooth headset
CN104333660A (en) Mobile phone hang-up reminding method and device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20160210