A smart home control system based on human motion feature recognition

Abstract

The present invention discloses a smart home control system based on human motion feature recognition, including: a smart bracelet, which includes a life parameter acquisition unit and a state recognition unit, the life parameter acquisition unit is used to collect the life parameters of the smart bracelet wearer; an infrared temperature acquisition module, which is used to collect the body temperature at the wrist of the indoor human body; an image acquisition module, which is used to collect the human body movements of the indoor personnel; a control module, which includes a human body recognition unit and a motion recognition unit, the human body recognition unit is used to identify the wearer of the smart bracelet according to the wearer's body temperature data collected by the smart bracelet and the body temperature at the wrist of the indoor human body collected by the infrared temperature module, and control the image acquisition module to collect the human body movement of the wearer of the smart bracelet, and generate home equipment control instructions; smart home equipment. Compared with the prior art, the present invention can accurately identify human body movements, receive control instructions, and avoid misidentification of human body movements.

Description

Technical Field

[0001] The present invention belongs to the field of smart home systems, and in particular relates to a smart home control system based on human motion feature recognition. Background Art

[0002] Smart home is an efficient, comfortable, safe, convenient and environmentally friendly living environment that takes residence as a platform, combines intelligent buildings, network communications, information appliances, lighting automation, and integrates systems, structures, services and management. In existing smart home systems, the control of smart home devices is usually achieved by identifying human body movements and postures. For example, Chinese patent CN201620304274.4 discloses a somatosensory smart home control system, including an acquisition control module, a somatosensory recognition module, and a gateway cloud module. The acquisition control module includes an AVR single-chip microcomputer, which is connected to a light sensor, a humidity sensor and a dust sensor, and is connected to a relay and a stepper motor; the somatosensory recognition module includes a host computer, on which a motion capture module for identifying human body movements and postures is provided, and on the AVR single-chip microcomputer and the host computer, a wireless hybrid serial port for mutual communication is provided; the gateway cloud module is connected to the host computer through a gateway.

[0003] In existing smart home control systems, human motion is usually only collected through a collection module (such as a body sensing camera). However, when there are multiple people in the room, it is not possible to accurately and quickly identify the person who makes a specific action and issues a control command. In addition, when there are many people in the room, human motion is prone to misidentification, causing the system to execute the wrong control command. Summary of the invention

[0004] The purpose of the present invention is to provide a smart home control system based on human motion feature recognition, which can accurately recognize human motion, receive control instructions, and avoid misrecognition of human motion.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: a smart home control system based on human motion feature recognition, comprising:

[0006] A smart bracelet, comprising a life parameter collection unit and a state recognition unit, wherein the life parameter collection unit is used to collect life parameters of a wearer of the smart bracelet, the life parameters including the wearer's body temperature data, and the state recognition unit is used to generate human body state information according to the collected life parameters;

[0007] Infrared temperature collection module, which is used to collect the body temperature of the human wrist in the room;

[0008] An image acquisition module, which is used to collect human body movements of indoor people;

[0009] The control module includes a human body recognition unit and a motion recognition unit. The human body recognition unit is used to identify the wearer of the smart bracelet according to the wearer's body temperature data collected by the smart bracelet and the body temperature at the wrist of the indoor human body collected by the infrared temperature module, and control the image acquisition module to collect the human body motion of the wearer of the smart bracelet. The motion recognition unit is used to recognize the human body motion and generate the control instruction of the home appliance;

[0010] Smart home devices are used to receive and execute home device control instructions.

[0011] As a further description of the above technical solution:

[0012] The smart bracelet and the infrared temperature acquisition module communicate via Bluetooth. The infrared temperature acquisition module includes an infrared temperature measurement unit, a distance detection unit and an ultrasonic ranging unit. The infrared temperature measurement unit is used to collect the body temperature of the human wrist indoors. The distance detection unit is used to calculate the distance between the smart bracelet and the infrared temperature acquisition module based on the signal strength value between the two. The ultrasonic ranging unit is used to detect the distance between the person whose body temperature is being measured.

[0013] As a further description of the above technical solution:

[0014] Vital parameters include body temperature, heart rate and blood oxygen concentration.

[0015] As a further description of the above technical solution:

[0016] The life parameter collection unit includes a contact temperature sensor, a blood oxygen detection subunit and a heart rate data collector. The contact temperature sensor is used to collect the body temperature data of the smart bracelet wearer, the blood oxygen detection subunit is used to collect the blood oxygen concentration data of the smart bracelet wearer, and the heart rate data collector is used to collect the heart rate data of the smart bracelet wearer.

[0017] As a further description of the above technical solution:

[0018] The smart bracelet also includes an acceleration sensor, which is used to collect acceleration change data.

[0019] As a further description of the above technical solution:

[0020] The control module also includes an energy-saving control unit, which is used to start or shut down the image acquisition module and the infrared temperature acquisition module according to the human body status information.

[0021] As a further description of the above technical solution:

[0022] Smart home devices include air conditioners, lights, humidifiers and electric curtains.

[0023] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0024] 1. In the present invention, when the user controls the smart home control system through human body movements, the user needs to wear a smart bracelet to issue control instructions that can be recognized by the smart home control system. When the smart home control system specifically recognizes human body movements, it obtains the user's body temperature through the smart bracelet, confirms that the smart bracelet is worn, controls the infrared temperature acquisition module and the image acquisition module to work, and collects human body movements. If there are multiple people in the room, the infrared temperature acquisition module recognizes the body temperature of all people, and the control module controls the image acquisition module to collect the human body movements of the wearer of the smart bracelet, thereby identifying and generating home appliance control instructions, and controlling the execution of smart home appliances. Therefore, the smart home control system can accurately recognize human body movements, receive control instructions, and avoid misrecognition of human body movements.

[0025] 2. In the present invention, in order to prevent the situation where multiple people have the same body temperature and cannot accurately distinguish the wearer of the smart bracelet by body temperature, the distance detection unit in the infrared temperature acquisition module calculates the distance between the smart bracelet and the infrared temperature acquisition module according to the signal strength value between the two, the ultrasonic ranging unit detects the distance between the person with the measured body temperature, and the human body recognition unit in the control module obtains the distance A between the infrared temperature acquisition modules of multiple persons with measured body temperatures and the distance B between the smart bracelet and the infrared temperature acquisition module, and determines that the value of distance A is closest to the value of distance B as the wearer of the smart bracelet, so as to assist in confirming the wearer of the smart bracelet. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0027] Figure 1 This is a system architecture diagram of a smart home control system based on human motion feature recognition. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0029] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] See also Figure 1 The present invention provides a technical solution: a smart home control system based on human motion feature recognition, comprising:

[0031] A smart bracelet, comprising a life parameter collection unit and a state recognition unit, wherein the life parameter collection unit is used to collect life parameters of a wearer of the smart bracelet, wherein the life parameters include body temperature data of the wearer, and the state recognition unit is used to generate human state information according to the collected life parameters, wherein the human state information can provide feedback on the life parameters of the wearer of the smart bracelet and whether the bracelet is worn. When the smart bracelet is not worn and the collected life parameters are abnormal, the human state recognition unit in the control module receives the human state information, determines that the smart bracelet is not worn, controls the infrared temperature collection module and the image collection module not to work, and avoids misidentification of human body movements. If the temperature data collected by the smart bracelet is between 34 and 42 degrees, it is determined that the smart bracelet is worn. If the collected temperature data is not between 34 and 42 degrees, it is determined that the smart bracelet is not worn.

[0032] Infrared temperature collection module, which is used to collect the body temperature of the human wrist in the room;

[0033] An image acquisition module, which is used to collect human body movements of indoor people;

[0034] The control module includes a human body recognition unit and a motion recognition unit. The human body recognition unit is used to identify the wearer of the smart bracelet according to the wearer's body temperature data collected by the smart bracelet and the body temperature at the wrist of the indoor human body collected by the infrared temperature module, and control the image acquisition module to collect the human body motion of the wearer of the smart bracelet. The image acquisition module specifically collects human body motion images / videos through a camera. The camera is installed on an actuator that can adjust the camera position. The actuator can adjust the shooting direction of the camera according to the instructions of the control module and aim at the human body. The motion recognition unit is used to identify human body motions and generate home appliance control instructions. When identifying human body motions, the motion recognition unit searches and matches in a preset database to identify the standard human body motion images / videos corresponding to the human body motion images / videos in the preset database, and generates home appliance control instructions according to the closest standard posture human body motion images / videos;

[0035] Smart home devices are used to receive and execute home device control instructions.

[0036] The smart bracelet and the infrared temperature acquisition module communicate via Bluetooth. The infrared temperature acquisition module includes an infrared temperature measurement unit, a distance detection unit and an ultrasonic ranging unit. The infrared temperature measurement unit is used to collect the body temperature of the human wrist indoors. The distance detection unit is used to calculate the distance between the smart bracelet and the infrared temperature acquisition module based on the signal strength value between the two. The ultrasonic ranging unit is used to detect the distance between the person whose body temperature is being measured.

[0037] The distance detection unit in the infrared temperature acquisition module calculates the distance between the smart bracelet and the infrared temperature acquisition module according to the signal strength value between the two. The ultrasonic ranging unit detects the distance between the person whose body temperature is being measured. The human body recognition unit in the control module obtains the distance A between the infrared temperature acquisition modules of multiple persons whose body temperature is being measured, and the distance B between the smart bracelet and the infrared temperature acquisition module. The distance A whose value is closest to the distance B is the wearer of the smart bracelet, which assists in confirming the wearer of the smart bracelet.

[0038] Vital parameters include body temperature, heart rate and blood oxygen concentration.

[0039] The life parameter acquisition unit includes a contact temperature sensor, a blood oxygen detection subunit and a heart rate data collector. The contact temperature sensor is used to collect the body temperature data of the wearer of the smart bracelet, the blood oxygen detection subunit is used to collect the blood oxygen concentration data of the wearer of the smart bracelet, and the heart rate data collector is used to collect the heart rate data of the wearer of the smart bracelet. The blood oxygen detection subunit specifically realizes blood oxygen measurement through a dual LED photoelectric sensor, using different LED photoelectric sensors as light source transmitters and light source receivers respectively, and calculates the blood oxygen concentration based on the slight voltage changes caused by the photodiode caused by the different degrees of absorption of HbO2 and HbO in the blood to different spectra.

[0040] The smart bracelet also includes an acceleration sensor, which is used to collect acceleration change data. The state recognition unit can determine whether the human body is in a sleeping state through the acceleration change data and heart rate data collected by the life parameter collection unit.

[0041] The control module also includes an energy-saving control unit, which is used to start or shut down the image acquisition module and the infrared temperature acquisition module according to the human body state information. When the state recognition unit determines that the wearer of the smart bracelet is in a sleeping state based on the acceleration change data and the heart rate data, the control module controls the image acquisition module and the infrared temperature acquisition module to stop working to save energy. When the state recognition unit determines that the wearer of the smart bracelet is out of the sleeping state based on the acceleration change data and the heart rate data, the image acquisition module and the infrared temperature acquisition module are controlled to work again, so as to facilitate the timely recognition of human body movements.

[0042] Smart home devices include air conditioners, lamps, humidifiers and electric curtains. Smart home devices perform corresponding actions according to the control instructions of home devices, such as turning on / off the air conditioner, turning on / off the lamps, and opening or closing the electric curtains.

[0043] Working principle: When the user controls the smart home control system through human body movements, he needs to wear a smart bracelet to issue control instructions that can be recognized by the smart home control system. When the smart home control system is specifically performing human body movement recognition, it obtains the user's body temperature through the smart bracelet, confirms that the smart bracelet is worn, controls the infrared temperature acquisition module and the image acquisition module to work, and collects human body movements. If there are multiple people in the room, the infrared temperature acquisition module recognizes the body temperature of all people, and the control module controls the image acquisition module to collect the human body movements of the wearer of the smart bracelet (that is, the human body with the body temperature of the "user"), thereby identifying and generating home equipment control instructions, and controlling the execution of smart home equipment. Therefore, the smart home control system can accurately recognize human body movements, receive control instructions, and avoid misrecognition of human body movements. In order to prevent the situation where multiple people have the same body temperature and cannot accurately distinguish the wearer of the smart bracelet by body temperature, the distance detection unit in the infrared temperature acquisition module calculates the distance between the smart bracelet and the infrared temperature acquisition module based on the signal strength value between the two, the ultrasonic ranging unit detects the distance between the person whose body temperature is measured, and the human body recognition unit in the control module obtains the distance A between the infrared temperature acquisition modules of multiple people whose body temperature is measured, and the distance B between the smart bracelet and the infrared temperature acquisition module, and determines that the value of distance A is closest to the value of distance B is the wearer of the smart bracelet, so as to assist in confirming the wearer of the smart bracelet.

[0044] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A smart home control system based on human motion feature recognition, characterized in that: include: A smart bracelet, comprising a life parameter collection unit and a state recognition unit, wherein the life parameter collection unit is used to collect life parameters of a wearer of the smart bracelet, wherein the life parameters include body temperature data of the wearer, and the state recognition unit is used to generate human body state information according to the collected life parameters; Infrared temperature collection module, which is used to collect the body temperature of the human wrist in the room; An image acquisition module, which is used to collect human body movements of indoor people; The control module includes a human body recognition unit and a motion recognition unit. The human body recognition unit is used to identify the wearer of the smart bracelet according to the wearer's body temperature data collected by the smart bracelet and the body temperature at the indoor human wrist collected by the infrared temperature module, and control the image acquisition module to collect the human body motion of the wearer of the smart bracelet. The motion recognition unit is used to recognize the human body motion and generate the home appliance control instruction; Smart home devices are used to receive and execute home device control instructions.

2. According to claim 1, a smart home control system based on human motion feature recognition is characterized in that: The smart bracelet and the infrared temperature acquisition module communicate via Bluetooth. The infrared temperature acquisition module includes an infrared temperature measurement unit, a distance detection unit and an ultrasonic ranging unit. The infrared temperature measurement unit is used to collect the body temperature of a human wrist indoors. The distance detection unit is used to calculate the distance between the smart bracelet and the infrared temperature acquisition module based on the signal strength value between the two. The ultrasonic ranging unit is used to detect the distance between the smart bracelet and the infrared temperature acquisition module and the person whose body temperature is being measured.

3. The intelligent home control system based on human motion feature recognition according to claim 1, characterized in that: The vital parameters include body temperature, heart rate and blood oxygen concentration.

4. The intelligent home control system based on human motion feature recognition according to claim 3 is characterized in that: The life parameter acquisition unit includes a contact temperature sensor, a blood oxygen detection subunit and a heart rate data collector. The contact temperature sensor is used to collect body temperature data of the smart bracelet wearer, the blood oxygen detection subunit is used to collect blood oxygen concentration data of the smart bracelet wearer, and the heart rate data collector is used to collect heart rate data of the smart bracelet wearer.

5. The intelligent home control system based on human motion feature recognition according to claim 4 is characterized in that: The smart bracelet also includes an acceleration sensor, which is used to collect acceleration change data.

6. The intelligent home control system based on human motion feature recognition according to claim 5, characterized in that: The control module also includes an energy-saving control unit, which is used to start or shut down the image acquisition module and the infrared temperature acquisition module according to the human body status information.

7. The intelligent home control system based on human motion feature recognition according to claim 1, characterized in that: The smart home devices include air conditioners, lamps, humidifiers and electric curtains.

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