CN107944462A - Sleeping position recognition methods based on intelligent-induction - Google Patents
Sleeping position recognition methods based on intelligent-induction Download PDFInfo
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- CN107944462A CN107944462A CN201610893472.3A CN201610893472A CN107944462A CN 107944462 A CN107944462 A CN 107944462A CN 201610893472 A CN201610893472 A CN 201610893472A CN 107944462 A CN107944462 A CN 107944462A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C17/00—Sofas; Couches; Beds
- A47C17/38—Wall beds
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47G—HOUSEHOLD OR TABLE EQUIPMENT
- A47G9/00—Bed-covers; Counterpanes; Travelling rugs; Sleeping rugs; Sleeping bags; Pillows
- A47G9/10—Pillows
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The present invention relates to Smart Home technical field, more particularly to the sleeping position recognition methods based on intelligent-induction, intelligent-induction device is set, the device built-in intelligence induction system, the intelligent-induction system is by electronic induction unit and the intelligence database of data interaction therewith；The intelligent-induction device directly or indirectly contacts human body, contacts human body or the position for calculating human body and the sensing device by induction system and obtains data；The electronic induction unit realizes intelligence compiling generation parameter values after realizing data receiver by electric current or potentiometric sensors；Data transmission device is set by the parameter values interaction to the intelligence database, the intelligence database calls standard form and the parameter values analogy, data consistent rear quasi- value of acquisition sleeping position data in critical field is realized by analog date difference, complete sleeping position identification, by being compared with sleeping position criterion of identification data, judge sleeping position, be effectively used in combination with the bed accessory intelligently adjusted, ensure sleep quality.
Description
Technical field
The present invention relates to Smart Home technical field, more particularly to the sleeping position recognition methods based on intelligent-induction.
Background technology
As people's rhythm of life accelerates the continuous aggravation with life stress, the Working and life styles of people also occur
More extreme division, physical labourer is due to the physical work of the dull machinery of long campaigns so that the curve such as body physiological is also sent out
Changing, and brain worker is also to work before being sitting in computer for a long time, the long-term muscular strain of neck, all easily causes cervical vertebra
The cervical diseases such as disease.
In order to alleviate physical fatigue, best alleviation mode are exactly to ensure effective sleep, but during sleep,
Often because personal sleeping position itself or sleeping the not scientific structure of tool and causing sleep quality very low.
With reference to above-mentioned technical problem, much brand-new has been done on tool (including bed, mattress and pillow etc.) is slept at present
Design, for example the soft or hard automatic adjustment of tool, the appearance of physical therapy bed accessory etc. are slept, adjusted more particularly, to the high-low-position for sleeping tool, is soft
Vigour section and physical therapy have obtained corresponding effect, but realize the prerequisite of this technique effect is then how to sense human body
Sleeping position and corresponding adjustment is made by the particular state of human body sleeping position.
Therefore, it is badly in need of providing the sleeping position recognition methods based on intelligent-induction, to solve the deficiencies in the prior art.
The content of the invention
The object of the present invention is to provide the sleeping position recognition methods based on intelligent-induction, above-mentioned technical problem is effectively solved.
To achieve the above object, the present invention adopts the following technical scheme that：
Sleeping position recognition methods based on intelligent-induction, this method comprise the following steps：
(1) intelligent-induction device is set, and the device built-in intelligence induction system, the intelligent-induction system is by electronic induction
The intelligence database of unit and therewith data interaction；
(2) the intelligent-induction device directly or indirectly contacts human body, and human body or measuring and calculating human body are contacted by induction system
Position and the position of the sensing device simultaneously obtain data；
(3) the electronic induction unit realizes intelligence compiling generation ginseng after realizing data receiver by electric current or potentiometric sensors
Number numerical value；
(4) data transmission device is set by the parameter values interaction to the intelligence database, the intelligence database
Call standard form and the parameter values analogy；
(5) data consistent rear quasi- value of acquisition sleeping position data in critical field is realized by analog date difference, completes to sleep
Appearance identifies.
Particularly, the step (1) is further comprising the steps of：
The electronic induction unit calculates maincenter by data acquisition module, data transfer maincenter and data and forms, the intelligence
Energy database includes data storage cell and standard form forms, and data acquisition module includes current inductor or current potential inductor
Composition, signal, data acquisition are produced by current potential or the electric current identification of human body and electronic induction unit.
Particularly, the step (1) is further comprising the steps of：
The sensing device core is sensing unit, and the sensing unit is pressure sensitive unit, tactile element, skin sense
Answer one of unit or thermoinduction unit.
Particularly, the step (2) is further comprising the steps of：
The sensing device generates real time data by sensing human body signal source, i.e., by human body to the sensing device
Ranging or pressure measurement and produce inductive signal, the inductive signal for pulse signal, inductance signal, pressure sensitive signal, infrared ray letter
Number and one of heat transfer signal.
Particularly, the step (3) is further comprising the steps of：
The electronic induction unit by the electric current of acquisition, resistance, current potential or capacitance data input sleeping position identification model into
During row identification, specifically, being directed to each electric current, resistance, current potential or capacitance data, shadow of the sleeping position in the classification situation is calculated
The factor is rung, it is average being weighted to factor of influence, the similarity with each sleeping position model is obtained, takes wherein highest similarity
Sleeping position exports as a result.
Particularly, the step (4) is further comprising the steps of：
The standard form for data class than standard value integrate storehouse, i.e., the data integration of human body sleeping position fixed value, make by oneself
One of standard value or range sleeping position data integration of justice generation, the volume of real-time sleeping position data is obtained by data precision analogy
Translate, judge sleeping position.
Compared with prior art, the sleeping position recognition methods of the invention based on intelligent-induction, number is identified by building sleeping position
According to standard value database, need to only provide sensing device by inductance or other induction modes obtain after human contact's data with mark
Quasi- value calculates analogy, and it is different then to judge that contact data from the accuracy or value range difference of standard value can obtain human body in real time
Sleeping position data, further identify its sleeping position, method only needs the identification device with identifying system to complete function in itself,
Intelligence degree is high, and accuracy of identification accurately and reliably, uses easy to large-scale promotion.
Figure of description
Fig. 1 is intelligent-induction schematic device in the sleeping position recognition methods of the present invention based on intelligent-induction.
Fig. 2 is intelligent-induction system framework schematic diagram in the sleeping position recognition methods of the present invention based on intelligent-induction.
Embodiment
With reference to embodiment, the present invention is further illustrated, this is presently preferred embodiments of the present invention.
Embodiment 1
As shown in attached drawing 1 and Fig. 2, the sleeping position recognition methods based on intelligent-induction disclosed in the present embodiment, this method includes
Following steps：
(1) intelligent-induction device is set, and the device built-in intelligence induction system, the intelligent-induction system is by electronic induction
The intelligence database of unit and therewith data interaction；The electronic induction unit by data acquisition module, data transfer maincenter and
Data calculate maincenter composition, and the intelligence database includes data storage cell and standard form forms, data acquisition module bag
Current inductor or current potential inductor composition are included, signal is produced by current potential or the electric current identification of human body and electronic induction unit,
Data acquisition.The sensing device core is sensing unit, the sensing unit is pressure sensitive unit, tactile element,
One of skin sensing unit or thermoinduction unit.
(2) the intelligent-induction device directly or indirectly contacts human body, and human body or measuring and calculating human body are contacted by induction system
Position and the position of the sensing device simultaneously obtain data；The sensing device is by sensing human body signal source generation number in real time
According to, i.e., inductive signal is produced by ranging of the human body to the sensing device or pressure measurement, the inductive signal for pulse signal, electricity
Feel one of signal, pressure sensitive signal, infrared signal and heat transfer signal.
(3) the electronic induction unit realizes intelligence compiling generation ginseng after realizing data receiver by electric current or potentiometric sensors
Number numerical value；The electronic induction unit carries out the electric current of acquisition, resistance, current potential or capacitance data input sleeping position identification model
During identification, specifically, being directed to each electric current, resistance, current potential or capacitance data, influence of the sleeping position in the classification situation is calculated
The factor, it is average being weighted to factor of influence, the similarity with each sleeping position model is obtained, takes sleeping for wherein highest similarity
Appearance exports as a result.
(4) data transmission device is set by the parameter values interaction to the intelligence database, the intelligence database
Call standard form and the parameter values analogy；The standard form for data class than standard value integrate storehouse, i.e. human body sleeping
The data integration of appearance fixed value, one of the standard value or range sleeping position data integration of self-defined generation, pass through data precision class
Than the compiling for obtaining real-time sleeping position data, sleeping position is judged.
(5) data consistent rear quasi- value of acquisition sleeping position data in critical field is realized by analog date difference, completes to sleep
Appearance identifies.
Compared with prior art, the sleeping position recognition methods of the invention based on intelligent-induction is by building sleeping position identification data
Standard value database, need to only provide sensing device by inductance or other induction modes obtain after human contact's data with standard
Value calculates analogy, you can obtains the different sleeping position data of human body in real time, further identifies its sleeping position, method only needs to carry in itself
The identification device of identifying system can complete function, and intelligence degree is high, and accuracy of identification accurately and reliably, makes easy to large-scale promotion
With.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of scope is protected, although being explained with reference to preferred embodiment to the present invention, those of ordinary skill in the art should
Work as understanding, can be to technical scheme technical scheme is modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and scope.
Claims (6)
1. the sleeping position recognition methods based on intelligent-induction, it is characterised in that：This method comprises the following steps：
(1) intelligent-induction device is set, and the device built-in intelligence induction system, the intelligent-induction system is by electronic induction unit
And the intelligence database of data interaction therewith；
(2) the intelligent-induction device directly or indirectly contacts human body, and human body or measuring and calculating human body are contacted by induction system
With the position of the sensing device and obtaining data；
(3) the electronic induction unit realizes intelligence compiling generation parameter number after realizing data receiver by electric current or potentiometric sensors
Value；
(4) data transmission device is set to call the parameter values interaction to the intelligence database, the intelligence database
Standard form and the parameter values analogy；
(5) data consistent rear quasi- value of acquisition sleeping position data in critical field is realized by analog date difference, completes sleeping position and know
Not.
2. the sleeping position recognition methods according to claim 1 based on intelligent-induction, it is characterised in that：The step (1) is also
Comprise the following steps：
The electronic induction unit calculates maincenter by data acquisition module, data transfer maincenter and data and forms, the intelligence number
Include data storage cell according to storehouse and standard form forms, data acquisition module includes current inductor or current potential inductor group
Into the current potential or electric current identification for passing through human body and electronic induction unit produce signal, data acquisition.
3. the sleeping position recognition methods according to claim 1 based on intelligent-induction, it is characterised in that：The step (1) is also
Comprise the following steps：
The sensing device core is sensing unit, and the sensing unit is pressure sensitive unit, the sensing of tactile element, skin is single
One of member or thermoinduction unit.
4. the sleeping position recognition methods according to claim 1 based on intelligent-induction, it is characterised in that：The step (2) is also
Comprise the following steps：
The sensing device generates real time data by sensing human body signal source, that is, passes through ranging of the human body to the sensing device
Or pressure measurement and produce inductive signal, the inductive signal for pulse signal, inductance signal, pressure sensitive signal, infrared signal and
One of heat transfer signal.
5. the sleeping position recognition methods according to claim 1 based on intelligent-induction, it is characterised in that:The step (3) is also
Comprise the following steps：
The electronic induction unit is known the electric current of acquisition, resistance, current potential or capacitance data input sleeping position identification model
When other, specifically, be directed to each electric current, resistance, current potential or capacitance data, calculate the sleeping position the classification situation influence because
Son, it is average being weighted to factor of influence, the similarity with each sleeping position model is obtained, takes the sleeping position of wherein highest similarity
Export as a result.
6. the sleeping position recognition methods according to claim 1 based on intelligent-induction, it is characterised in that:The step (4) is also
Comprise the following steps：
The standard form for data class than standard value integrate storehouse, the i.e. data integration of human body sleeping position fixed value, self-defined life
Into one of standard value or range sleeping position data integration, the compiling of real-time sleeping position data is obtained by data precision analogy, is sentenced
Determine sleeping position.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610893472.3A CN107944462A (en) | 2016-10-12 | 2016-10-12 | Sleeping position recognition methods based on intelligent-induction |
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|---|---|---|---|
| CN201610893472.3A CN107944462A (en) | 2016-10-12 | 2016-10-12 | Sleeping position recognition methods based on intelligent-induction |
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| CN201610893472.3A Pending CN107944462A (en) | 2016-10-12 | 2016-10-12 | Sleeping position recognition methods based on intelligent-induction |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108764123A (en) * | 2018-05-25 | 2018-11-06 | 暨南大学 | Intelligent recognition human body sleep posture method based on neural network algorithm |
| CN108968969A (en) * | 2018-05-15 | 2018-12-11 | 邢嘉铭 | A kind of detection system perceiving position chanP on bed |
| CN109303548A (en) * | 2018-07-20 | 2019-02-05 | 渝新智能科技（上海）有限公司 | A kind of children's sleeping position monitoring method, device and equipment |
| CN109758281A (en) * | 2018-12-25 | 2019-05-17 | 广东三水合肥工业大学研究院 | A kind of security system adjusted based on body position |
| CN113655730A (en) * | 2021-10-20 | 2021-11-16 | 慕思健康睡眠股份有限公司 | Data information processing method and system for home system |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108968969A (en) * | 2018-05-15 | 2018-12-11 | 邢嘉铭 | A kind of detection system perceiving position chanP on bed |
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| CN109758281A (en) * | 2018-12-25 | 2019-05-17 | 广东三水合肥工业大学研究院 | A kind of security system adjusted based on body position |
| CN109758281B (en) * | 2018-12-25 | 2021-05-11 | 广东三水合肥工业大学研究院 | Safety system based on body position adjustment |
| CN113655730A (en) * | 2021-10-20 | 2021-11-16 | 慕思健康睡眠股份有限公司 | Data information processing method and system for home system |
| CN113655730B (en) * | 2021-10-20 | 2022-02-15 | 慕思健康睡眠股份有限公司 | Data information processing method and system for home system |
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Application publication date: 20180420 |