A signal detection method and electronic device
By analyzing the beam control parameters in the signal feedback information and using a model to detect human movements, the problem of high complexity in human movement detection in existing technologies is solved, and high-accuracy and universality of human movement detection is achieved.
CN122449490APending Publication Date: 2026-07-24LENOVO (BEIJING) LTD
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Patent Information
- Authority / Receiving Office
- CN Β· China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- LENOVO (BEIJING) LTD
- Filing Date
- 2026-04-30
- Publication Date
- 2026-07-24
AI Technical Summary
Technical Problem
Current technologies require specific interfaces or hardware modules in electronic devices to detect human movements, which makes human movement detection highly complex.
Method used
By obtaining the signal feedback information sent by the second electronic device, analyzing the beam control parameters on the subcarrier, and using the model to determine the human body detection results, the detection of human body and action categories is realized, avoiding dependence on specific hardware.
Benefits of technology
It reduces the complexity of human motion detection, improves the universality and accuracy of detection, and can reliably detect the human body and its motion categories.
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Figure CN122449490A_ABST
Abstract
The application discloses a signal detection method and an electronic device. The method comprises the following steps: obtaining at least one signal feedback information sent by a second electronic device, wherein the signal feedback information is generated by the second electronic device based on a wireless probe signal transmitted by a signal transmitting end, and is information for representing a channel state; parsing a beam control parameter on at least one subcarrier from the signal feedback information, wherein the beam control parameter is used for representing signal amplitude attenuation and phase offset caused by an environment on the subcarrier; and determining a human body detection result by using a first model based on a distribution characteristic of the beam control parameter on different subcarriers, wherein the human body detection result is used for representing whether a human body is detected and a detected action category.
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