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CN-122004869-A - Contactless interaction and health early warning system and method based on bioelectric field change

CN122004869ACN 122004869 ACN122004869 ACN 122004869ACN-122004869-A

Abstract

The invention discloses a contactless interaction and health early warning system and method based on biological electric field change. The system collects low-frequency bioelectric field change signals generated on the surface of human skin in a non-contact state through a bioelectric field sensing module arranged on a frame and/or a backboard of the mobile terminal, and performs pretreatment and feature analysis on the signals to extract transient features for interactive identification and statistical features for health state assessment respectively. The system further carries out multi-mode fusion analysis on the statistical characteristics and physiological parameters such as heart rate, blood oxygen and/or body temperature, so as to realize the output of alternate interaction instructions and the predictive early warning of abnormal health states. Meanwhile, the sensing module is triggered to work when the effective electric field change is detected through an energy management mechanism, so that the overall power consumption is reduced. The invention improves the convenience of man-machine interaction and simultaneously realizes the integration of health monitoring and early warning.

Inventors

  • MAO GANG

Assignees

  • 深圳酷赛智能有限公司

Dates

Publication Date
20260512
Application Date
20260203

Claims (10)

  1. 1. A contact-less interaction and health pre-warning system based on bioelectric field variation, comprising: the bioelectric field sensing module is arranged at the frame and/or the back plate of the mobile terminal and is used for collecting low-frequency bioelectric field change signals generated on the skin surface of the human body in a non-contact state; the signal preprocessing module is used for amplifying, denoising and frequency domain decomposition processing of the bioelectric field change signal; The characteristic analysis module is used for respectively extracting transient characteristics for interactive identification and statistical characteristics for health state assessment from the processed bioelectric field change signals; the multi-mode fusion analysis module is used for carrying out fusion analysis on the statistical characteristics and at least one physiological parameter data; and the decision output module is used for outputting a contactless interaction instruction and/or health early warning information based on the fusion analysis result.
  2. 2. The system of claim 1, wherein the bioelectric field sensing module comprises a plurality of miniature electric field sensors distributed in an array for sensing electric field disturbances caused by human motion or physiological conditions.
  3. 3. The contactless interactive and health warning system according to claim 1 or 2, wherein the detection frequency range of the bioelectric field variation signal is 0.1Hz to 100Hz.
  4. 4. The contactless interaction and health warning system of claim 1, wherein the feature resolution module identifies a blank gesture, muscle micro-contraction, or operational intent based on the transient feature and generates a corresponding contactless interaction instruction.
  5. 5. The contactless interactive and health alert system according to claim 1, wherein the feature analysis module identifies a long-term trend of bioelectric field variation based on the statistical features for characterizing potential abnormal states associated with the cardiovascular system or the nervous system.
  6. 6. The system of claim 1, wherein the multi-modal fusion analysis module 4 uses the statistical features of bioelectric field changes as dominant features and combines heart rate, blood oxygen and/or body temperature data to comprehensively evaluate health status.
  7. 7. The contactless interactive and health alert system according to claim 1, wherein the feature analysis module and the multi-modal fusion analysis module perform pattern recognition on the bioelectric field variation signal based on a machine learning model.
  8. 8. The contactless interactive and health warning system of claim 1, further comprising an energy management module for triggering the bioelectric field sensing module to enter an operational state upon detecting a bioelectric field change exceeding a preset threshold.
  9. 9. The contactless interactive and health alert system according to claim 1, wherein the health alert information includes abnormality prompt information, risk level information, and/or emergency contact trigger instructions.
  10. 10. A contactless interaction and health early warning method based on bioelectric field change is characterized by comprising the following steps: And acquiring a bioelectric field change signal, carrying out characteristic analysis and multi-mode fusion analysis on the signal, and outputting a contactless interaction instruction and/or health early warning information.

Description

Contactless interaction and health early warning system and method based on bioelectric field change Technical Field The invention relates to the technical field of mobile terminal perception and health detection, in particular to a contactless interaction and health early warning system and method based on biological electric field change. Background With the continuous integration of mobile terminal functions, man-machine interaction mode and health monitoring capability gradually become important technical directions of intelligent terminals. The existing man-machine interaction mode mainly comprises touch operation, voice interaction and visual recognition interaction based on cameras, but the mode generally depends on specific use conditions or external environments. For example, the reliability of touch operation is obviously reduced in a wet hand, glove wearing or movement state, voice interaction is easily affected by environmental noise, and gesture recognition based on a camera has high requirements on illumination conditions, gesture angles and privacy environments, so that the touch operation is difficult to stably use in complex or limited scenes. In the field of health monitoring, the existing mobile terminal is used for detecting states by depending on single or small amounts of physiological parameters such as heart rate, blood oxygen and body temperature, the technical route is usually focused on passive acquisition of physiological changes, the potential early abnormal state of a human body is difficult to reflect, and the capability of trend analysis and early warning of health risks is lacking. In addition, different health functions often depend on independent sensors and processing logic, the system structure is dispersed, the power consumption is high, and the monitoring effect and the energy consumption control are difficult to be considered under the long-term continuous use scene. The human bioelectric field is an intrinsic physiological signal formed by the combined action of neural activity, muscle activity and cardiovascular system, and its changes are rich in behavioral intention and health status information. However, application of the bioelectric field in the prior art is limited to medical-level contact detection, and an integrated technical scheme capable of stably sensing the variation of the bioelectric field in a non-contact manner in the mobile terminal and simultaneously serving non-contact interaction and health risk early warning has not been formed. Therefore, how to realize stable human-computer interaction by utilizing the change of the bioelectric field on the premise of not depending on physical contact and simultaneously comprehensively evaluate and predictively early warn the health state by combining the multi-mode physiological data is still a technical problem to be solved in the prior art. Thus, the prior art is still to be improved. Disclosure of Invention The existing mobile terminal still highly depends on touch control, voice or visual perception in a man-machine interaction mode, has limited adaptability to a use environment and a user state, and is difficult to realize stable and reliable operation in a non-contact, limited or complex scene. Meanwhile, the existing health monitoring scheme focuses on passive acquisition of single physiological parameters, lacks comprehensive analysis capability on potential abnormal states of human bodies, and is difficult to provide prospective health risk early warning in time. In addition, the interactive function and the health monitoring function are generally realized in a scattered way, and the system has a complex structure and high energy consumption, and is unfavorable for long-term and continuous deployment in the mobile terminal. Therefore, a new technical scheme is necessary to be provided, and on the premise of not depending on physical contact, the cooperation of human-computer interaction and health state evaluation is realized through a unified perception mechanism, and the applicability of interaction and the effectiveness of health early warning are improved while the energy consumption of the system is controllable. The technical scheme of the invention is as follows: in one aspect, the invention provides a contactless interaction and health pre-warning system based on bioelectric field variation, comprising: the bioelectric field sensing module is arranged at the frame and/or the back plate of the mobile terminal and is used for collecting low-frequency bioelectric field change signals generated on the skin surface of the human body in a non-contact state; the signal preprocessing module is used for amplifying, denoising and frequency domain decomposition processing of the bioelectric field change signal; The characteristic analysis module is used for respectively extracting transient characteristics for interactive identification and statistical characteristics for health state assessment from