Method and system for wireless edge-aware point cloud extraction and recognition of human-machine objects
A technology of human, machine, object and point cloud, applied in the field of radio frequency sensing, can solve privacy issues, direct contact and other issues
Active Publication Date: 2021-07-06
PEKING UNIV
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There are also some methods of sensing with the help of sensors in wearable devices and methods of sensing based on camera-based video monitoring. However, these methods will have direct contact with the sensing target, which may cause some privacy issues.
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[0084] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.
[0085] "RIS" in this application refers to: Reconfigurable Intelligent Surface, which is interpreted in Chinese as: reconfigurable intelligent reflective surface. It is a two-dimensional plane composed of a large number of small-sized RIS units arranged regularly, which can reflect electromagnetic wave signals in space. Each RIS unit consists of several diodes connected to metal sheet tubes. By changing the bias voltage applied to the diode, the on-off state of the diode ...
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The embodiments of the present application relate to the technical field of radio frequency sensing, and in particular, relate to a method and system for extracting and identifying point clouds of wireless edge sensing for humans, machines and objects. The method includes: establishing a measurement matrix based on a reconfigurable intelligent metamaterial surface; training the point cloud recognition module; measuring the people and / or objects in the target space to be measured to obtain a measurement vector, and after training The point cloud recognition module recognizes the point cloud extracted from the measurement vector, so as to realize the recognition of the person and / or object to be measured. This application uses radio frequency signals for perception, and does not need to use wearable sensors, cameras and other video acquisition equipment for training data collection, which has high privacy protection; by changing the radio frequency environment in space, radio frequency signals are propagated in various environments The information obtained in the target space is richer than that obtained when the environment is invariable, thus improving the accuracy of point cloud extraction and recognition.
Description
technical field [0001] The embodiments of the present application relate to the technical field of radio frequency sensing, and in particular, relate to a method and system for extracting and identifying point clouds of wireless edge sensing for humans, machines and objects. Background technique [0002] Radio frequency sensing is to realize the state of the target, such as the perception of position and material, by identifying the impact of the sensing target on wireless signal transmission. [0003] Traditional radio frequency sensing is based on WIFI or mmWave transceiver equipment, and its effect is limited by the radio frequency signal propagation environment. For example, when the environment remains stable, the path of the RF signal passing through the target is basically fixed, and the receiving end perceives the same result for a long period of time, and the information of the target that can be obtained is limited. There are also some sensing methods based on sen...
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IPC IPC(8): G06F17/16G06K9/62G06N3/12
CPCG06F17/16G06N3/126G06F18/241G06F18/214G01S7/006G01S13/003
Inventor 宋令阳胡敬植张泓亮
Owner PEKING UNIV