Activity sensing control device and activity sensing control method

Abstract

The invention provides an activity sensing control device and an activity sensing control method, wherein a signal separation unit is used for separating Doppler intermediate frequency signals of frequency bands respectively corresponding to movement action, jogging action, breathing action and / or heartbeat action of a human body in the Doppler intermediate frequency signals in at least one continuous time period, and a signal processing module is used for calling corresponding control commands in virtue of the combinations of effective features of the Doppler intermediate frequency signals ofdifferent frequency bands in the continuous time period, the corresponding electrical equipment is controlled based on activity states under a human body existence state and a human body staying state corresponding to the action state combinations of movement action, jogging action, breathing action and / or heartbeat action of the human body in the continuous time period, so that the working stateof the electrical equipment can be humanized and intelligently adapted to the activity state of the human body in the staying state.

Description

technical field [0001] The invention relates to the field of activity sensing, in particular to an activity sensing control device and an activity sensing control method based on microwave detection. Background technique [0002] With the development of Internet of Things technology, artificial intelligence, smart home, and smart security technology have higher and higher requirements for the accuracy of environmental detection, especially human presence detection, movement and micro-movement detection. Only by obtaining a sufficiently stable The detection results can provide accurate judgment basis for intelligent terminal equipment. The existing technology mainly uses cameras and human body movement detection sensors to detect human body presence and activity. Different detection methods focus on the detection of corresponding human body presence and activity status and have different defects. Therefore, they are different from fixed-program mechanical movements. Based on...

AI Technical Summary

Problems solved by technology

For example, when the improved pyroelectric and pyroelectric sensors are used to detect the presence and activities of the human body, such as the use of non-contact sensors implemented by MEMS technology to detect the presence and activities of the human body, there is no need for traditional lenses. The temperature difference or temperature change between the environment and the surrounding environment of the human body detects the existence and activities of the human body, and can realize partition detection and detection of the stationary human body, but it is easily interfered by non-biological heat sources because it cannot distinguish between biological heat sources and non-biological heat sources. Such as water heating equipment, stove, hot water, hot coffee, coffee brewing equipment and other heating elements, so it is easy to misjudgment and has great limitations in the application of human presence and activity detection

For example, when using microwave sensing technology to detect the presence and activities of the human body, traditional microwave sensors can only respond to large movements of the human body, but cannot obtain micro-movements of the human body (such as nodding, turning around, arm swinging and bending down). Such as small movements) and breathing and heartbeat actions, so when controlling the corresponding electrical equipment based on the detection results of the presence of the human body, it is easy to misoperate due to the inability to obtain sufficiently comprehensive and stable detection results, such as controlling lighting based on the detection results of the presence of the human body When the traditional microwave sensor is unable to respond to the human body standing, staying or sitting, it misjudges that the human body does not exist and controls the lighting to turn off. For example, when controlling the air conditioner based on the detection result of the human body, the traditional microwave sensor only When the human body passes by and does not stop, it is misjudged that the human body exists and controls the air conditioner to turn on, which also has great limitations in the application of human body presence and activity detection

[0004] Although higher-frequency microwave sensors can collect tiny movements of the human body, such as automotive-grade microwave sensors with a frequency of 77G or above, higher frequencies mean higher hardware costs and more complex signal output. Analysis requires more massive and complex data processing, and the transmission distance of higher frequency microwaves is more affected by environmental humidity and obstacles

[0005] That is to say, it is difficult for existing technologies to obtain sufficiently comprehensive and stable detection results for human presence and activity detection through independent sensing devices, among which microwave sensors based on the principle of the Doppler effect can detect Human existence and activities, including micro-movements of the human body, but it is also difficult to independently obtain sufficiently comprehensive and stable detection results with low-cost microwave sensors. The detection results realize the humanized intelligent control of the corresponding electrical equipment

Images