A pre-authorization type physiological abnormality emergency rescue triggering method and system based on a light guide interaction layer

Abstract

The application discloses a pre-authorization type physiological abnormality emergency rescue triggering method and system based on a light guide interaction layer, and is based on the integration and innovation of four patent application technologies previously submitted by the applicant, and constructs a four-in-one technical system of pre-authorization, full age quantitative adaptation, pure physical triggering without authority, and special terminal adaptation. The light guide interaction layer is matched with 850nm infrared eyeball recognition, a crowd model is constructed based on 3000 real measurement data, the dynamic fault tolerance of the middle-aged and the elderly is started, and the misjudgment rate is not more than 3%. The terminal type is recognized by an optical response time difference method, and the trigger parameters are dynamically adjusted according to the curvature of the folding screen and the curved screen. The pre-authorization information is stored by a judicial blockchain, emergency information is synchronized to multiple terminals according to priority, and the whole process record is traceable. The application does not need to wear equipment and does not depend on system authority, and is suitable for full scenes such as family, office and vehicle.

Description

Technical Field

[0001] This invention relates to the fields of emergency interaction, optical sensing, and physiological abnormality recognition technology for smart terminals. Specifically, it relates to a pre-authorized physiological abnormality emergency rescue triggering method and system based on an optical guide interaction layer. It is applicable to touch terminals such as mobile phones, tablets, in-vehicle touch devices, foldable screens, and curved screens, and can realize physiological abnormality recognition and emergency call without external wearable devices or manual operation.

[0002] This application is based on the technical concept of four prior patent applications filed by the applicant. These prior applications were not published before the filing date of this application and do not constitute prior art. Their technical content, through reference, forms the technical basis of this application in its entirety. Application No.: 2026102814971, Invention Title: A Method for Implementing Permissionless AI Interaction Based on Photoconductive Tempered Glass Film Application No.: 2026103269949, Invention Title: Control Method and System for Unauthorized Eye-Tracking Touch Terminal Based on Optical Guide Interaction Layer Application No.: 2026103109757, Invention Title: An AI Instruction Intelligent Execution System Based on an External Interaction Layer Application No.: 2026103373270, Invention Title: A Distributed Butler System and Method Based on Multi-Terminal Collaboration The aforementioned prior applications respectively provide a purely optical passive structure for the photoconductive interaction layer, a photo-induced deformation physical triggering mechanism, 850nm pulsed infrared eye tracking, binocular optical triangulation positioning, AI command parsing, a population-specific quantification model, a gradual anomaly early warning algorithm, a distributed management system architecture, multi-terminal priority synchronization, and near-field optical communication basic technologies, constituting the core technical foundation of this application. This application integrates and innovates upon the above technologies to form a complete emergency rescue technical solution for physiological abnormalities. The technical details are fully disclosed in this application, and those skilled in the art can independently implement it based on the descriptions in this application. Background Technology

[0003] Existing emergency rescue solutions largely rely on wearable devices or manual triggering, making them unreliable in scenarios where users are disabled. Conventional automatic emergency calls require access to highly sensitive systems, raising privacy and compliance issues. Furthermore, they lack mechanisms for identifying abnormal user groups, resulting in high false positive rates for the elderly and children (current technologies generally have a false positive rate of ≥15%). There are no dedicated optical adaptation solutions for irregularly shaped terminals such as foldable and curved screens, leading to insufficient triggering stability due to ambient light and optical path distortion, with a success rate of only 60%-70%. In addition, existing solutions lack pre-authorization mechanisms, making them prone to misoperation; lack judicial evidence, raising questions about their legal validity; and lack operator compliance filing, making them susceptible to being classified as nuisance calls. Summary of the Invention

[0004] (I) Technical Solution 1. A pre-authorized emergency rescue triggering method for physiological abnormalities based on an optical guide interaction layer, comprising the following steps:

[0005] A light guide interaction layer is mounted on the touch terminal. The core area of ​​this layer adopts a pure optical structure design. There are no chips, circuits, or power supplies in the core area. It is only used for light path conduction, ambient light filtering, and infrared light path shaping. The edges of the light guide interaction layer integrate a miniature passive display unit, a miniature passive clock module, and a local encrypted storage unit. The above edge units are powered by a passive power supply module and have no electrical connection with the terminal. They do not obtain system permissions and do not actively enable terminal functions.

[0006] Users can complete the pre-authorization settings in the following three ways: Eye touch (look at the designated area for 3 seconds); Finger gesture (click the confirmation button); Remote optical authorization by relatives (via a one-time encrypted QR code).

[0007] The remote optical authorization for relatives is implemented as follows: the optical guide interaction layer generates a one-time encrypted authorization QR code through a miniature passive display unit. The QR code is encrypted using AES-128, has a validity period of 5 minutes, and is one code per use. Relatives scan the QR code through the authorization terminal camera to decrypt and verify it. After successful verification, the remote pre-authorization settings are completed.

[0008] After the pre-authorized content is verified and confirmed twice, a hash value is generated based on the SHA-256 algorithm and encrypted and stored in a local encrypted storage unit at the edge of the optical guide interaction layer. At the same time, the pre-authorized content and hash value are synchronized to the terminal of the user's authorized relative to complete dual notarization, and the notarization is reinforced by connecting to a compliant judicial blockchain notarization platform (a platform that has obtained the "Blockchain Information Service Filing" from the State Internet Information Office).

[0009] Pre-authorization settings include: Operation authorization: Authorize dialing and sending SMS messages on behalf of others; Audience-appropriate authorization: Select from three categories: children and teenagers, adults, and middle-aged and elderly; Content authorization: Preset emergency contacts, up to 3, and emergency SMS templates; Synchronous authorization: Set the priority of associated terminals, with level 1 being the core terminal and levels 2 and 3 being secondary terminals; Deauthorization: Preset self-deauthorization methods, including eye movements or finger gestures; Authorization validity period: Supports 1 month to 5 years. The expiration date is 7 days before the expiration date, and the expiration date will be automatically invalidated.

[0010] The power consumption of the miniature passive clock module is no higher than 0.5μW, the time error is no more than ±1 minute / day, and it is automatically calibrated once a day when the strong light is greater than 1000 lux, with each calibration correcting the time deviation by no more than 0.5 minutes.

[0011] The system employs an 850nm pulsed infrared light acquisition scheme with an infrared emission power not exceeding 2mW, meeting the Class 1 requirements of GB / T 30117-2013 for human eye safety. The light guide interaction layer organizes the infrared light path and works with the terminal infrared camera to acquire eye characteristics, including eye gaze state, pupil contraction frequency, eye tremor amplitude, and eyelid closure state.

[0012] The sampling frequency is dynamically adjusted according to the ambient light intensity. When the light intensity is greater than 1000 lux, the sampling frequency is 5 frames / second; When the light intensity is less than 100 lux, the sampling frequency is 3 frames / second; In other cases, the sampling frequency is 4 frames per second.

[0013] The miniature AI recognition unit loads a population-specific quantitative benchmark model, which is built upon measured data from 3,000 individuals of different ages, including 500 children, 2,000 adults, and 500 middle-aged and elderly individuals. Simultaneously, it generates a personalized benchmark model for each user based on 10 seconds of initial normal eyeball data collection. The miniature AI recognition unit employs an ultra-low power design, with power consumption not exceeding 50μW in operating mode and not exceeding 5μW in standby mode, meeting the power supply requirements of a passive power supply module.

[0014] For middle-aged and elderly people, a dynamic tolerance mechanism based on physiological characteristic thresholds will be activated: Nystagmus amplitude less than 5 degrees per second is considered normal, and the normal threshold is less than 3 degrees per second. Ptosis causing less than 30% pupil obstruction is considered normal, with a normal threshold of less than 20%. A pupil constriction frequency of 4-12 times / minute is considered normal, with a normal threshold of 5-15 times / minute.

[0015] The eye gaze state is detected by binocular optical triangulation with an accuracy of ±1 degree. The detection results are corrected by a head-eye linkage compensation algorithm. The compensation algorithm dynamically calculates the compensation coefficient based on the user's head movement speed. The specific calculation method is: compensation coefficient = 1 + (head movement speed × 0.1), with the value range limited to between 0.8 and 1.2.

[0016] Abnormal eyeball feature combinations include: The gaze deviates from the center of the screen by more than 15 degrees for at least 3 seconds; The pupillary contraction frequency drops sharply to 0 and the eyelid remains closed for at least 5 seconds; The amplitude of micro-tremor of the eyeballs exceeds twice the personalized threshold and the gaze position shifts irregularly; If the acquisition unit suddenly fails to detect effective eyeball features for at least 4 seconds, it is determined that the person has fallen or their head has deviated from the terminal. The gradual abnormal process in which the pupillary contraction frequency slows down from normal until it stops.

[0017] The user-specific accidental touch filtering mechanism is as follows: Children and adolescents were detected with the same abnormal feature combination 5 times consecutively within a 5-second time window; Adults and middle-aged and elderly individuals were detected with the same abnormal feature combination three times consecutively within a 3-second time window.

[0018] If a gradual abnormal process is detected, the system will trigger a multi-terminal quantification warning 10 seconds in advance: The photoconductive film vibrates through a 50Hz micro-deformation; The user terminal displays a non-invasive notification box via optical superposition of a light guide film, with a transparency of 70%. Authorized associated terminals receive text and audio alerts synchronously according to priority. The synchronization delay for Level 1 terminals shall not exceed 1 second, and the synchronization delay for Level 2 and Level 3 terminals shall not exceed 3 seconds.

[0019] After determining the physiological abnormality, the screen response delay is measured without authorization using the optical response time difference method, with a measurement error not exceeding ±5ms. The specific implementation method is as follows: the photoconductive film emits a photo-induced deformation trigger signal to a specific coordinate of the terminal screen, and at the same time, the optical sensor records the time difference between the trigger moment and the screen optical feedback moment; multiple measurements are taken and the average value is taken to eliminate environmental interference; the ambient light intensity is monitored in real time by an ambient light sensor, and when the ambient light intensity changes abruptly, the measurement is paused for 100ms and then resumed to avoid the light change interfering with the measurement results.

[0020] Identifying terminal type by screen response latency: If the response delay is greater than 50ms and interference from the screen protector is excluded, it is determined to be an old, low-sensitivity terminal. A response delay of no more than 50ms indicates a new high-sensitivity terminal.

[0021] Built-in response latency baseline library for LCD, OLED, foldable screen, and curved screen: The LCD baseline is 20-40ms; OLED baseline is 10-30ms; The baseline for foldable screens is 30-50ms; The baseline for curved screens is 25-45ms.

[0022] For foldable and curved screens, the deformation is dynamically adjusted according to the screen curvature: For every 10-degree increase in curvature, the deformation increases by 5%. The basic deformation of the new terminal is 30-80μm, with a maximum of 150μm; The basic deformation of older terminals is 80-150μm, with a maximum of 150μm.

[0023] Triggering parameters include: The deformation range is 5-150 μm; The trigger duration ranges from 5 to 20 ms, with older terminals having a trigger duration of 15 to 20 ms and newer terminals having a trigger duration of 5 to 10 ms.

[0024] dialing operation: A single emergency call can make a maximum of 3 consecutive calls, with each call spaced 30 seconds apart. If a call is interrupted after being connected but the maximum number of attempts has not been reached, it can be retried.

[0025] SMS sending on behalf of others: Only one text message will be sent for each emergency.

[0026] Location synchronization: The screenshot is sent with the SMS only if the user manually enables the device's location function; If location services are not enabled, only pre-authorized address information will be sent.

[0027] Trigger verification: Real-time verification of changes in the terminal screen interface is achieved by using optical sensors. If the trigger fails, the parameters will be automatically adjusted and the trigger will be retried, up to a maximum of 3 times.

[0028] The optical guide interaction layer, acting as a sub-manager unit in the distributed management system, synchronizes emergency information according to the priority of associated terminals set in the pre-authorization settings. Prioritize synchronizing Level 1 core terminals, then synchronize Level 2 and Level 3 terminals in sequence; When communication fails, information is cached and retransmitted according to priority after recovery.

[0029] The specific implementation method of near-field optical communication is as follows: The carrier frequency is 100kHz, avoiding the ambient light interference band of 400-700nm; Ambient light filtering cutoff wavelength: 800nm; The communication distance should not exceed 5 meters; This can be achieved by reusing the existing optical sensor of the photoconductor film, without the need for additional hardware.

[0030] Emergency information includes: User identity information; Sudden abnormal time; Exception type; Pre-authorized rescue operations have been triggered; The location of the terminal device or the user's pre-authorized address.

[0031] Once the emergency operation is triggered, a continuous early warning state will be entered: Continuously synchronize emergency execution status with authorized associated terminals; The red LED indicator light remains constantly on and flashes. The photoconductive film exhibits 50Hz micro-deformation vibration.

[0032] The conditions for termination include: User-pre-authorized self-removal action; Remote termination command authorized by a relative; The emergency status remained in effect for one hour without any user activity detected or any rescue feedback received from relatives.

[0033] The passive power supply module is implemented as follows: It integrates a photoelectric power generation unit to collect energy through the backlight of the terminal screen; It integrates an electromagnetic induction unit to harvest energy through ambient electromagnetic waves; It integrates a 10mAh micro flexible thin-film battery as an energy storage unit; During an emergency, continuous work must last no less than 2 hours. Battery life is no less than 1.5 hours in extreme scenarios.

[0034] Full process traceability: Record the entire process information, including pre-authorization settings, anomaly detection, emergency triggering, operation execution, status synchronization, and emergency deactivation. Anti-tampering is prevented through SHA-256 hash value verification; The encrypted storage is located in a local encrypted storage unit at the edge of the optical guide interaction layer, an authorized associated terminal, and a compliant judicial blockchain evidence storage platform. 2. A pre-authorized emergency rescue triggering system for physiological abnormalities based on an optical guide interaction layer.

[0035] The system is characterized in that, in order to implement the method described in any one of claims 1 to 4, all system operations are performed within the scope of the user's pre-authorization, without exceeding the requested system permissions; including: The light guide interaction layer, mounted on the surface of the touch terminal, has no electrical connection and is used for optical path shaping and filtering. It includes a pure optical core trigger area and an edge integration area. The pure optical core trigger area uses a polyimide-based composite photodeformation material and has a built-in full-terminal quantized trigger parameter adaptation library. The edge integration area integrates an eye feature acquisition unit, a miniature AI recognition unit, a local encrypted storage unit, a passive power supply module, a multi-mode communication module, an early warning module, an operation verification unit, an optical QR code generation unit, a miniature passive display unit, and a miniature passive clock module. The pre-authorization configuration module is connected to the eye feature acquisition unit to support three operation methods: eye touch, finger physical gesture, and remote optical authorization by relatives. The anomaly detection module is connected to the eye feature acquisition unit and the emergency execution module respectively, and has a built-in population-based quantitative benchmark model and dynamic fault-tolerant algorithm. The emergency execution module is connected to the anomaly detection module and is used to perform proxy dialing and SMS sending within the pre-authorized range. The trigger parameters are dynamically adjusted according to the terminal type and curvature. The multi-terminal synchronization module is connected to the emergency execution module and the local encrypted storage unit to synchronize emergency information according to priority, and has offline caching and retransmission functions. The status control module is connected to the emergency execution module via signals and is used for the initiation, cancellation, and timeout control of the early warning status.

[0036] The connection relationships between the modules of the system are as follows: The pre-authorization configuration module is connected to the eye feature acquisition unit via signal transmission. The eye feature acquisition unit is signal-connected to the anomaly detection module; The anomaly detection module and the emergency execution module are connected by signals; The emergency execution module is connected to the multi-terminal synchronization module and the status control module via signals, respectively. The local encrypted storage unit is connected to the pre-authorization configuration module, the anomaly detection module, the emergency execution module, and the multi-terminal synchronization module.

Claims

1. A pre-authorized emergency rescue triggering method for physiological abnormalities based on an optical guide interaction layer, characterized in that, Includes the following steps: S1: An optical guide interaction layer is mounted on the touch terminal. The core area of ​​the optical guide interaction layer adopts a pure optical structure with no chips, no circuits, and no power supply. The edge integrates a miniature passive display unit, a miniature passive clock module, and a local encrypted storage unit. The edge unit is powered by a passive power supply module. Users can complete pre-authorization settings through eye-tracking, physical finger gestures, or remote optical authorization by relatives. The pre-authorization content includes operation authorization, user-adaptive authorization, content authorization, synchronization authorization, deauthorization, and validity period authorization. After secondary verification, the pre-authorized information generates a hash value based on the SHA-256 algorithm, which is then encrypted and stored in a local encrypted storage unit. At the same time, it is synchronized to the user's authorized relatives' terminals and the judicial blockchain evidence storage platform. S2: Uses 850nm pulsed infrared light to collect eye characteristics, with infrared emission power not exceeding 2mW, meeting human eye safety requirements; the collection frequency is dynamically adjusted according to ambient light intensity; loads a population-specific quantitative benchmark model and generates a user-personalized benchmark model, enabling a dynamic fault tolerance mechanism for middle-aged and elderly groups; S3: The eyeball status is detected by binocular optical triangulation, with a detection accuracy of ±1 degree; The head-eye linkage compensation algorithm is used to correct the detection results. The compensation algorithm dynamically calculates the compensation coefficient based on the user's head movement speed. When a preset abnormal eye feature combination is detected and the group-specific quantitative accidental touch filtering mechanism is met, it is determined to be a physiological disability state. Abnormal features include a gaze deviating from the center by more than 15 degrees for at least 3 seconds, a sudden drop in pupil frequency to 0 with eyelid closure for at least 5 seconds, microtremor amplitude exceeding twice the personalized threshold, absence of effective eyeball features for at least 4 seconds, and gradual abnormal pupil frequency. The population-based filtering mechanism is 5 consecutive abnormalities within a 5-second window for children and adolescents, and 3 consecutive abnormalities within a 3-second window for adults and middle-aged and elderly individuals. Multi-terminal warnings are triggered in advance when gradual abnormalities are detected. S4: Screen response latency is measured using the optical response time difference method, with a measurement error not exceeding ±5ms; a response latency greater than 50ms, after excluding screen protector interference, is determined to be an older terminal, while a latency not exceeding 50ms is determined to be a newer terminal; for foldable and curved screens, the deformation is dynamically adjusted according to the screen curvature, with the deformation increasing by 5% for every 10-degree increase in curvature, and the deformation for newer terminals being 30-80μm, while that for older terminals is 80-150μm, with a maximum not exceeding 150μm; automatic dialing and SMS sending are performed within the pre-authorized range, with a maximum of 3 retries if the trigger fails; A single dialing session can consist of a maximum of 3 consecutive calls, with a 30-second interval between calls; location information is only used after the user has manually authorized it. S5: As a sub-manager unit of the distributed management system, it synchronizes emergency information according to the priority of associated terminals set in the pre-authorization settings; the near-field optical communication adopts a carrier frequency of 100kHz, a filter cutoff wavelength of 800nm, and a communication distance of no more than 5 meters, and is realized by multiplexing optical sensors in the optical guide layer; S6: After an emergency is triggered, it enters a continuous early warning state. The emergency state is lifted when the user cancels the emergency independently, a relative remotely cancels the emergency, or there is no feedback for 1 hour. The entire process is recorded, encrypted, stored, and synchronized to the judicial blockchain evidence storage platform to achieve traceability and verification.

2. The method according to claim 1, characterized in that, The miniature passive display unit in S1 uses electronic ink technology and has a power consumption of no more than 1μW; the miniature passive clock module has a power consumption of no more than 0.5μW, a time error of no more than ±1 minute / day, and automatically calibrates once a day when the strong light is greater than 1000 lux. The pre-authorization period can be from 1 month to 5 years. Seven days before the expiration date, a light guide film will emit light and a 50Hz vibration will serve as a reminder.

3. The method according to claim 1, characterized in that, The population-specific quantitative benchmark model described in S2 is constructed based on measured data from 3,000 people of different ages, including 500 children, 2,000 adults, and 500 middle-aged and elderly people. The dynamic error tolerance mechanism for middle-aged and elderly people is as follows: nystagmus amplitude of less than 5 degrees per second is considered normal, eyelid and pupil occlusion of less than 30% is considered normal, and pupil contraction frequency of 4-12 times / minute is considered normal.

4. The method according to claim 1, characterized in that, The dialing operation described in S4 can be retried if the call is interrupted after being connected but the maximum number of attempts has not been reached.

5. A pre-authorized physiological abnormality emergency rescue triggering system based on an optical guide interaction layer, used to implement the method described in any one of claims 1 to 4, characterized in that, include: The light guide interaction layer, mounted on the surface of the touch terminal, has no electrical connection and is used for optical path shaping and filtering. It includes a pure optical core trigger area and an edge integration area. The pure optical core trigger area uses a polyimide-based composite photodeformation material and has a built-in full-terminal quantized trigger parameter adaptation library. The edge integration area integrates an eye feature acquisition unit, a miniature AI recognition unit, a local encrypted storage unit, a passive power supply module, a multi-mode communication module, an early warning module, an operation verification unit, an optical QR code generation unit, a miniature passive display unit, and a miniature passive clock module. The pre-authorization configuration module is connected to the eye feature acquisition unit via signal transmission. The anomaly detection module is connected to the eye feature acquisition unit and the emergency execution module via signals, respectively. The emergency execution module is signal-connected to the anomaly detection module; The multi-terminal synchronization module is signal-connected to the emergency execution module and the local encrypted storage unit. The status control module is connected to the emergency execution module via signal.

6. The system according to claim 5, characterized in that, The passive power supply module integrates a photoelectric power generation unit, an electromagnetic induction unit, and a 10mAh micro flexible thin-film battery, and can work continuously for no less than 2 hours in an emergency.

7. The system according to claim 5, characterized in that, The near-field optical communication module is implemented using an optical sensor in the optical guide layer, with a carrier frequency of 100kHz, a filter cutoff wavelength of 800nm, and a communication distance of no more than 5 meters.

8. The system according to claim 5, characterized in that, The local encrypted storage unit is used to encrypt and store authorization records and emergency logs, and supports SHA-256 hash value generation and judicial blockchain evidence storage.

9. The system according to claim 5, characterized in that, The system is compatible with mobile phones, tablets, in-vehicle touch devices, foldable screens and curved screens. It adopts a film-type installation structure and can dynamically adjust optical trigger parameters according to the screen curvature.

10. The system according to claim 5, characterized in that, The system uses a film-type installation and is compatible with HarmonyOS, Android, iOS, Windows, and Mac OS operating systems.