CN111513710A - Human living environment intelligent adjusting method and system - Google Patents
Human living environment intelligent adjusting method and system Download PDFInfo
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- CN111513710A CN111513710A CN202010287145.XA CN202010287145A CN111513710A CN 111513710 A CN111513710 A CN 111513710A CN 202010287145 A CN202010287145 A CN 202010287145A CN 111513710 A CN111513710 A CN 111513710A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
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- A—HUMAN NECESSITIES
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M21/02—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0027—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the hearing sense
Abstract
The invention discloses an intelligent human habitat environment adjusting method, which comprises the following steps: acquiring a human body physiological signal and a brain wave signal based on wearable equipment; inputting the acquired human body physiological signals and brain wave signals into a pre-trained human body state measuring model to acquire the state of the human body; generating corresponding control parameters capable of controlling each controllable device based on a preset adjusting model according to the human body state; controlling the controllable equipment corresponding to each control parameter to work according to the control parameters so as to adjust the human settlements environment; a corresponding human settlements environment intelligent regulation system is also disclosed. The body state of the resident can be obtained through the obtained human body physiological signals and brain wave signals, and control parameters are generated through the obtained state to control each controllable device, so that the emotion of the resident is adjusted; therefore, through the technical scheme of the invention, the emotional body state of the resident can be concerned, and then the human living environment can be regulated in a targeted manner, so that the intelligent regulation of the human living environment is realized.
Description
Technical Field
The invention relates to the technical field of intelligent home furnishing, in particular to a human living environment intelligent adjusting method and system.
Background
With the modern development, higher requirements are provided for the living environment, and particularly for the smart home which is rapidly developed at present, a large number of electronic equipment are arranged, so that the living environment can be changed, and the living environment can be automatically adjusted. However, the existing smart home only simply realizes the on-off of an air conditioner, a television and the like, and does not have deeper intelligent regulation, especially aiming at the care of the old living alone or the teenagers and the like at present, the existing intelligent regulation cannot be directly embodied, and the existing intelligent regulation needs higher knowledge level and needs deeper learning of all matters; for the old and children, the intelligent home cannot be easily set and adjusted, and is not adaptive enough. Meanwhile, the existing smart home does not pay attention to the requirement of the emotional state of the resident on the living environment, for example, in a single environment, solitary old people are easy to have solitary feeling, or the old people with bad spleen qi are easy to have impatience, impatience and other emotions, so that the requirement is provided for how to intelligently adjust the living environment to relieve the emotional state.
Disclosure of Invention
In view of the above-mentioned shortcomings, the present invention provides an intelligent human habitat environment adjusting method, which can obtain human emotion and other states through a human state measuring model, and appropriately adjust human habitat environment through states to release or alleviate emotion and the like.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
a human living environment intelligent adjusting method comprises the following steps:
acquiring a human body physiological signal and a brain wave signal based on wearable equipment;
inputting the acquired human body physiological signals and brain wave signals into a pre-trained human body state measuring model to acquire the state of the human body;
generating corresponding control parameters capable of controlling each controllable device based on a preset adjusting model according to the human body state;
and controlling the controllable equipment corresponding to each control parameter to work according to the control parameters so as to adjust the human settlements environment.
According to one aspect of the invention, the pre-trained human body state measurement model is realized by the following steps:
acquiring a large number of human physiological signals and brain wave signals according to the time sequence and acquiring human state information corresponding to each time sequence;
extracting the characteristics of the human physiological signals and the brain wave signals and establishing mapping with the human state information;
constructing a human body state measuring model based on the human body physiological signals and the brain wave signals to obtain human body state information according to the mapping;
and training the human body state measuring model by acquiring a large number of human body physiological signals and brain wave signals and acquiring human body state information corresponding to each time sequence.
According to an aspect of the invention, the human state measurement model comprises: an emotional state model and a health state model.
According to one aspect of the invention, the construction of the emotional state model comprises: on the basis of elimination of multiple transferable recursive features, a cross-disciplinary emotion recognition model based on a binary emotion state and multiple emotion states is established.
According to an aspect of the present invention, the generating of the corresponding control parameter for controlling each controllable device based on the preset adjustment model according to the human body state includes: and generating an ambient light control parameter, an ambient music control parameter and an ambient temperature and humidity control parameter according to the existing emotion of the human body so as to control ambient light, ambient music and the ambient temperature and humidity to reach a preset environment which is most suitable for the emotion state.
According to one aspect of the invention, the human living environment intelligent adjusting method comprises the following steps: and alarming according to the state of the human body.
According to one aspect of the invention, the method comprises the following steps: and performing manual intervention according to the alarm information.
The utility model provides a people's house environment intelligent regulation system, people's house environment intelligent regulation system includes a plurality of controllable equipment, wearable data acquisition device and the control host computer of networking each other, the control host computer still includes following module:
the data receiving module is used for receiving the human physiological signals and the brain wave signals acquired by the wearable data acquisition device;
the human body state measuring module is used for inputting the acquired human body physiological signals and brain wave signals into a pre-trained human body state measuring model to obtain the state of the human body;
the parameter generation module is used for generating corresponding control parameters capable of controlling each controllable device according to the human body state based on a preset regulation model;
and the control module is used for controlling the controllable equipment corresponding to each control parameter to work according to the control parameters so as to adjust the human settlements environment.
According to one aspect of the invention, the human living environment intelligent regulation system comprises a machine learning module, which is used for performing machine learning and training through a large number of human physiological signals and brain wave signals to obtain a trained human body state measurement model.
According to one aspect of the invention, the human-living environment intelligent regulation system comprises an alarm system.
The implementation of the invention has the advantages that: the invention relates to an intelligent human habitat environment adjusting method, which comprises the following steps: acquiring a human body physiological signal and a brain wave signal based on wearable equipment; inputting the acquired human body physiological signals and brain wave signals into a pre-trained human body state measuring model to acquire the state of the human body; generating corresponding control parameters capable of controlling each controllable device based on a preset adjusting model according to the human body state; controlling the controllable equipment corresponding to each control parameter to work according to the control parameters so as to adjust the human settlements environment; the body state of the resident can be obtained through the obtained human body physiological signals and brain wave signals, for example, the body is in a fever state, the emotion is in a low state and the like, control parameters are generated through the obtained state, for example, ventilation is needed or nursing equipment is started during the fever state, for example, when the emotion is in a low state, relaxed or happy music can be played by starting a music player to drive the emotion of the resident, or the emotion of the resident is adjusted by starting a television to play happy talk and happy integrated art and the like; therefore, through the mode, the emotion and body states of the residents can be noticed, and then the human living environment can be regulated in a targeted manner, so that the intelligent regulation of the human living environment is realized.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic diagram of an intelligent adjustment method for human settlements according to the 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an intelligent human environment adjusting method includes the following steps:
step S1: acquiring a human body physiological signal and a brain wave signal based on wearable equipment;
step S2: inputting the acquired human body physiological signals and brain wave signals into a pre-trained human body state measuring model to acquire the state of the human body;
in practical application, the pre-trained human body state measurement model can be realized by the following steps:
acquiring a large number of human physiological signals and brain wave signals according to the time sequence and acquiring human state information corresponding to each time sequence;
extracting the characteristics of the human physiological signals and the brain wave signals and establishing mapping with the human state information;
constructing a human body state measuring model based on the human body physiological signals and the brain wave signals to obtain human body state information according to the mapping;
and training the human body state measuring model by acquiring a large number of human body physiological signals and brain wave signals and acquiring human body state information corresponding to each time sequence.
In practical applications, the human body state measurement model includes: an emotional state model and a health state model.
In practical application, the construction of the emotional state model comprises the following steps: on the basis of elimination of multiple transferable recursive features, a cross-disciplinary emotion recognition model based on a binary emotion state and multiple emotion states is established.
In this embodiment, the method specifically includes:
1. obtaining an effective electroencephalogram data set which can be modeled;
data for 32 channels were acquired at a 256 hertz sampling rate. There were 40 video clips (i.e., 40 trials each lasting about 1 minute) prepared for each participant as an emotional stimulus, which equates to 40 trials completed per subject. Participants simultaneously record physiological responses while watching the video. All subjects completed a self-assessment after each trial, with arousals, prices, governance, likes, and familiarity being labeled. The remaining four ratings scales range from 1 to 9, except for the familiarity scale (range 1-5). The VA model is then used to determine the target emotion classification.
2. Extracting features and classifying target emotions;
3. multiple transferable feature elimination (M-TRFE) based on LSSVM;
the initialization program code of the M-TRFE algorithm is as follows:
the feature sorting program code of the M-TRFE algorithm is as follows:
and performing interdisciplinary emotion recognition on the two-class and multi-class classification problems by using a new M-TRFE feature selection method. The M-TRFE manages not only the selection of feature instances, but also the selection of individuals. The M-TRFE selects a tested object which is closer to the common reaction, shows a similar recognition effect to the tested object in a binary emotional state, and is dominant in a multi-class classification method. Throughout the work, LSSVM is used to complete the selection. The binary classification rates reach 0.6494 and 0.6898 in the arousal and valance dimensions, respectively. In many cases, OA reached 0.6513. These results have surpassed all other methods applied herein and most recent studies on the DEAP database. In general, the M-TRFE enables cross-discipline emotion recognition to be more efficient and accurate, and resource waste is less.
Step S3: generating corresponding control parameters capable of controlling each controllable device based on a preset adjusting model according to the human body state;
in practical applications, the generating of the corresponding control parameters capable of controlling each controllable device based on the preset adjustment model according to the human body state includes: and generating an ambient light control parameter, an ambient music control parameter and an ambient temperature and humidity control parameter according to the existing emotion of the human body so as to control ambient light, ambient music and the ambient temperature and humidity to reach a preset environment which is most suitable for the emotion state.
For example, if the emotion of the resident is sadness, the resident can get out of the sadness and get happy by adjusting the ambient light to be bright light, opening the door and window, and then turning on the television to play happy programs, or turning on the sound box to play happy songs.
Step S4: and controlling the controllable equipment corresponding to each control parameter to work according to the control parameters so as to adjust the human settlements environment.
In practical application, the intelligent human habitat environment adjusting method comprises the following steps: and alarming according to the state of the human body. For example, when the body temperature of the solitary old man is found to be high, alarm information can be sent to the guardian so that the guardian can arrange treatment in time.
In practical application, the method comprises the following steps: and performing manual intervention according to the alarm information. The guardian can manually configure the adjustment of each parameter through the alarm information, for example, if the alarm information includes muscle fatigue of the resident or mental use load is high, the equipment such as a television and a computer is manually turned off, so that the resident can have a rest in time.
Example two
The utility model provides a people's house environment intelligent regulation system, people's house environment intelligent regulation system includes a plurality of controllable equipment, wearable data acquisition device and the control host computer of networking each other, the control host computer still includes following module:
the data receiving module is used for receiving the human physiological signals and the brain wave signals acquired by the wearable data acquisition device;
the human body state measuring module is used for inputting the acquired human body physiological signals and brain wave signals into a pre-trained human body state measuring model to obtain the state of the human body;
the parameter generation module is used for generating corresponding control parameters capable of controlling each controllable device according to the human body state based on a preset regulation model;
and the control module is used for controlling the controllable equipment corresponding to each control parameter to work according to the control parameters so as to adjust the human settlements environment.
In practical application, the human living environment intelligent regulation system comprises a machine learning module, and is used for performing machine learning and training through a large number of human physiological signals and brain wave signals to obtain a trained human state measurement model.
In practical application, the human living environment intelligent regulation system comprises an alarm system.
The implementation of the invention has the advantages that: the invention relates to an intelligent human habitat environment adjusting method, which comprises the following steps: acquiring a human body physiological signal and a brain wave signal based on wearable equipment; inputting the acquired human body physiological signals and brain wave signals into a pre-trained human body state measuring model to acquire the state of the human body; generating corresponding control parameters capable of controlling each controllable device based on a preset adjusting model according to the human body state; controlling the controllable equipment corresponding to each control parameter to work according to the control parameters so as to adjust the human settlements environment; the body state of the resident can be obtained through the obtained human body physiological signals and brain wave signals, for example, the body is in a fever state, the emotion is in a low state and the like, control parameters are generated through the obtained state, for example, ventilation is needed or nursing equipment is started during the fever state, for example, when the emotion is in a low state, relaxed or happy music can be played by starting a music player to drive the emotion of the resident, or the emotion of the resident is adjusted by starting a television to play happy talk and happy integrated art and the like; therefore, through the mode, the emotion and body states of the residents can be noticed, and then the human living environment can be regulated in a targeted manner, so that the intelligent regulation of the human living environment is realized.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention disclosed herein are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. The intelligent human living environment adjusting method is characterized by comprising the following steps of:
acquiring a human body physiological signal and a brain wave signal based on wearable equipment;
inputting the acquired human body physiological signals and brain wave signals into a pre-trained human body state measuring model to acquire the state of the human body;
generating corresponding control parameters capable of controlling each controllable device based on a preset adjusting model according to the human body state;
and controlling the controllable equipment corresponding to each control parameter to work according to the control parameters so as to adjust the human settlements environment.
2. The human-living environment intelligent regulation method of claim 1, wherein the pre-trained human body state measurement model is realized by the following steps:
acquiring a large number of human physiological signals and brain wave signals according to the time sequence and acquiring human state information corresponding to each time sequence;
extracting the characteristics of the human physiological signals and the brain wave signals and establishing mapping with the human state information;
constructing a human body state measuring model based on the human body physiological signals and the brain wave signals to obtain human body state information according to the mapping;
and training the human body state measuring model by acquiring a large number of human body physiological signals and brain wave signals and acquiring human body state information corresponding to each time sequence.
3. The human-living environment intelligent regulation method according to claim 2, wherein the human body state measurement model comprises: an emotional state model and a health state model.
4. The human-living environment intelligent regulation method according to claim 3, wherein the construction of the emotional state model comprises: on the basis of elimination of multiple transferable recursive features, a cross-disciplinary emotion recognition model based on a binary emotion state and multiple emotion states is established.
5. The human-living environment intelligent adjusting method according to claim 4, wherein the generating of the corresponding control parameters capable of controlling each controllable device based on the preset adjusting model according to the human body state comprises: and generating an ambient light control parameter, an ambient music control parameter and an ambient temperature and humidity control parameter according to the existing emotion of the human body so as to control ambient light, ambient music and the ambient temperature and humidity to reach a preset environment which is most suitable for the emotion state.
6. The human-living environment intelligent adjusting method according to claim 1, characterized by comprising the following steps: and alarming according to the state of the human body.
7. The human-living environment intelligent regulation method of claim 6, comprising: and performing manual intervention according to the alarm information.
8. The utility model provides a people's house environment intelligent regulation system which characterized in that people's house environment intelligent regulation system includes a plurality of controllable equipment, wearable data acquisition device and the control host computer of networking each other, the control host computer still includes following module:
the data receiving module is used for receiving the human physiological signals and the brain wave signals acquired by the wearable data acquisition device;
the human body state measuring module is used for inputting the acquired human body physiological signals and brain wave signals into a pre-trained human body state measuring model to obtain the state of the human body;
the parameter generation module is used for generating corresponding control parameters capable of controlling each controllable device according to the human body state based on a preset regulation model;
and the control module is used for controlling the controllable equipment corresponding to each control parameter to work according to the control parameters so as to adjust the human settlements environment.
9. The system for intelligently adjusting human-living environment according to claim 8, wherein the system for intelligently adjusting human-living environment comprises a machine learning module for performing machine learning and training through a plurality of human physiological signals and brain wave signals to obtain a trained human state measurement model.
10. The human-living environment intelligent regulation system of one of claims 8 to 9, wherein the human-living environment intelligent regulation system comprises an alarm system.
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| CN108292173A (en) * | 2015-12-09 | 2018-07-17 | 三星电子株式会社 | For the technology based on biological information control equipment |
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| US20160228640A1 (en) * | 2015-02-05 | 2016-08-11 | Mc10, Inc. | Method and system for interacting with an environment |
| CN108292173A (en) * | 2015-12-09 | 2018-07-17 | 三星电子株式会社 | For the technology based on biological information control equipment |
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Application publication date: 20200811 |