71 results about "Pulse sensor" patented technology

The invention discloses a power distribution network line fault positioning detection system, and relates to the technical field of power distribution network fault detection. The system comprises a mixed information acquisition layer, a fault feature extraction layer, an intelligent diagnosis layer and a fault positioning layer. The mixed signal acquisition layer comprises a high-frequency transient wave recording unit, a power frequency measurement unit, a wireless pulse sensor and a distributed optical fiber temperature measurement unit; the fault feature extraction layer comprises a time-frequency analysis module, a preprocessing module and a three-dimensional feature vector module; the intelligent diagnosis layer comprises a convolutional attention network, a space-time diagram neural network and a transfer learning module; the fault positioning layer comprises a particle swarm module and a fuzzy reasoning module. According to the invention, data information of the cable is acquired through the mixed information acquisition layer, a video analysis window function is dynamically matched with signal characteristics, a time domain graph scale, a frequency domain resonance component and a space field intensity gradient are constructed, fault diagnosis and positioning are carried out by using the intelligent diagnosis layer, and the fault positioning detection efficiency of the power distribution network is improved.

The invention discloses a photovoltaic cable health state assessment method and system, and the system comprises a signal collection module which is disposed at a key node of a cable, and comprises an ultra-wideband pulse sensor, an infrared thermometer, and an illumination sensor; the edge processing module is used for constructing a state characteristic curve and identifying a target sample time interval; the cloud analysis engine is used for executing defect contribution simulation value extraction and thermal-electric coupling model iterative optimization; according to the scheme, multi-dimensional signals such as current, voltage, partial discharge pulse, temperature and illumination intensity are synchronously collected through a distributed sensor network, a multi-parameter evaluation system including amplitude, phase and temperature is constructed, and the health state level, the defect position distribution and the simulation value change trend are displayed through multi-dimensional signal fusion and multi-parameter analysis. And the detection accuracy and comprehensiveness are improved.

The invention discloses a pulse diagnosis training device based on the Internet of Things and a pulse condition simulation method, and relates to the crossing field of traditional Chinese medicine education and the Internet of Things technology.The pulse diagnosis training device is composed of pulse sensor hardware and a pulse sensing APP, wireless connection and instruction interaction are achieved through an ESP8266 chip, a pulse sensor adopts three sets of independent amplitude-adjustable motors to simulate pulse of the cun, guan and chi, and the pulse sensor hardware is connected with the pulse sensing APP; in combination with PID closed-loop control and a waveform interpolation algorithm, the bit, number, shape and potential characteristics of 28 kinds of standard pulse conditions are precisely restored; the pulse awareness APP provides staged learning, random testing and learning data management functions to form a complete learning closed loop of theoretical learning-simulation practice-effect evaluation; the pulse diagnosis training device has the advantages of being light in weight, low in cost and convenient to operate, pulse diagnosis learning and practice requirements of traditional Chinese medicine students, enthusiasts and researchers can be met, the market blank of personal pulse diagnosis training equipment is filled, and the pulse diagnosis learning efficiency and accuracy are remarkably improved.

The invention discloses a wearable intraoperative body temperature detection and early warning device, and relates to the technical field of body temperature detection. The bracelet specifically comprises a bracelet body, a notch is formed in one end of the bracelet body, a hole is formed in one side of the notch, a clamping mechanism is arranged at the joint of the notch, a temperature sensor is fixedly installed on the inner side, close to the hole, of the bracelet body, and a pulse sensor is fixedly installed on the side, close to the temperature sensor, of the bracelet body. The bracelet comprises a bracelet body, anti-slip stickers are bonded to the inner walls of the two sides of the bracelet body, a display screen is fixedly mounted on the outer side of the center of the bracelet body, LED lamp strips are fixedly mounted on the two outer sides of the circumference of the bracelet body, a mounting cover is fixedly mounted on the side, close to the display screen, of the bracelet body, and a medicine box is fixedly mounted on the other side, close to the display screen, of the bracelet body. The temperature sensor and the pulse sensor on the inner side of the bracelet body are guaranteed to detect the temperature and pulse of a human body, and therefore the problem that an existing device of a box structure is not beneficial to surgical operation is effectively solved.

Real-time monitoring of human body surface physiological information is a core function of wearable medical equipment. A micro-fluidic technology is paid attention to the field of biochemical physiological information sensing, but the potential of the micro-fluidic technology in the aspect of mechanical force physiological information sensing is not fully excavated, so that the realization of a multi-parameter integrated detection platform is hindered. The invention provides a dual-mode flexible physiological force sensor based on microfluid deformation. According to the sensor, capacitance and triboelectric effects are creatively fused, and the limitation of a single sensing mechanism is broken through. The liquid drop not only can be used as a deformable electrode to form a capacitance structure with the bottom electrode to realize static force detection, but also can be contacted with the PDMS dielectric layer for electrification to capture a dynamic force signal. By accurately regulating and controlling geometric parameters of the sensor, collaborative optimization of sensitivity and detection range is realized, and ultrafast dynamic response of 21ms is achieved. Experiments prove that stable underwater pulse monitoring can be carried out for 168 hours, and the biomedical potential of the underwater pulse sensor in the aspects of mechanical and biochemical signal fusion and overall physiological analysis is proved.

The utility model discloses a track event starting timing training device which comprises a remote control starting device, a loudspeaker and a control module. The remote control starting device emits different signals through the wireless emission module, and the loudspeaker receives the signals of the remote control starting device through the wireless receiving module so as to play corresponding sounds; the wireless transmitting module comprises a transmitting external antenna end, a data input end, a transmitting power supply end and a transmitting grounding end; the wireless receiving module comprises a receiving external antenna end, a data output end, a receiving power supply end and a receiving grounding end; the stopwatch display is used for receiving a signal of the loudspeaker so as to realize timing and watch returning; the photoelectric detection module comprises a light emitting pulse sensor and a light receiving pulse sensor, and the photoelectric detection module controls the stopwatch display to stop timing through the control module when the athlete passes through the terminal point.

The application provides a high-pressure oil pump gear pulse sensor which is convenient to install, plug-and-play, high in phase detection precision and strong in anti-interference. The high-pressure oil pump gear pulse sensor comprises a sensor body, an adjusting gasket and an O-shaped ring. The sensor body comprises a sensing component mounting part, a body fastening mounting part and a mounting connecting plate. The body fastening mounting part is arranged beside the sensing component mounting part. The mounting connecting plate connects the sensing component mounting part and the body fastening mounting part into an integrated whole. The body fastening mounting part is provided with a mounting positioning hole. The sensing component mounting part comprises a lower convex sensing part and an upper convex wiring part. A wiring PIN needle group is arranged in the inner cavity of the wiring part.

The invention discloses a scale type elbow and wrist joint flexible rehabilitation exoskeleton system based on physiological signal supervision, which comprises a wrist joint flexion pneumatic driver, a wrist joint extension pneumatic driver, an elbow joint flexion pneumatic driver, an elbow joint extension pneumatic driver, a hardware system and a bottom layer control system, the hardware system is matched with the bottom layer control system, motion signals, electromyographic signals, air pressure signals and pulse signals are collected, controllable air pressure is provided for the pneumatic wrist joint driver and the pneumatic elbow joint driver, and the safety stopping mechanism is used for stopping the pneumatic wrist joint driver and the pneumatic elbow joint driver on the basis of the pulse signal strength detected by the pulse sensor in real time. When the pulse signal intensity is lower than a preset safety threshold value and lasts for a certain time, the system automatically stops rehabilitation training, and the maximum atmospheric pressure threshold value of the system is automatically updated. Intelligent rehabilitation training and assistance which are high in integration level, good in safety, high in rehabilitation efficiency and capable of promoting active participation of the patient are provided for the patient with the upper limb elbow and wrist joint dysfunction.

An IoT-based weighing system to increase baby safety, consisting of: an intelligent cradle that has been specially designed and configured to meet the needs of an infant; a microcontroller configured to receive and process data from a variety of sensors and components integrated into the smart charging station; a variety of sensors integrated into the smart cradle and operationally connected to the microcontroller, the variety of sensors including: an infrared temperature sensor for non-contact detection of the infant's body temperature, a microphone sensor for detecting sounds from the infant, a moisture sensor for detecting wetness in a diaper, a gas sensor for detecting the presence of gases and smoke in the environment, and a pulse sensor for monitoring the infant's heart rate; a Wi-Fi module integrated into the microcontroller, configured to transmit the processed data to the cloud server via the internet; a servo motor that is operationally connected to the microcontroller and configured to generate a rocking motion in the cradle, the servo motor being activated by the microcontroller when the microphone sensor detects crying sounds from the infant; a buzzer that is functionally connected to the microcontroller and configured to trigger an audible alarm; a camera module with a webcam configured to capture a live video image of the infant and transmit this live video image via the WLAN module, wherein the camera module is further configured to enable facial recognition and facial identification for the purpose of identifying unauthorized persons, wherein the live webcam feed is retrieved by the microcontroller to perform facial recognition and facial identification, and the microcontroller sends a notification via the cloud server when the webcam detects an unknown face; and a cloud server configured to store the processed data and send notifications to a caregiver's mobile device.

The invention relates to the technical field of pulse condition recognition, and discloses a remote traditional Chinese medicine pulse condition recognition system based on a pressure-separation-electricity coupling flexible sensor, and the system comprises a pulse condition sensor module which is used for being attached to the wrist of a human body according to a three-finger synchronous pulse taking mode; the multi-modal signal collecting and preprocessing module is used for collecting multi-modal pulse condition signals through the pulse condition sensor module, preprocessing the multi-modal pulse condition signals and extracting characteristic parameters; the pulse condition recognition module is used for constructing an intelligent pulse condition recognition model and inputting the multi-mode pulse condition signals and the characteristic parameters into the pulse condition recognition module to obtain pulse condition data of the user; and the remote monitoring module is used for realizing real-time uploading, analysis and feedback of the pulse condition data. The invention aims to prepare a sensor array, collect a multi-mode pulse condition signal, construct a pulse condition intelligent identification model and output pulse condition data by taking a pressure-isolation-electricity coupling technology as a core.

The disclosure provides a multi-modal neuron structure, comprising a reference voltage generation module and a pulse generation module, the reference voltage generation module comprises a first reference voltage generation module and a second reference voltage generation module, the first reference voltage generation module generates a first reference voltage, and the second reference voltage generation module generates a second reference voltage; the pulse generation module is connected with the reference voltage generation module, an input end of the pulse generation module is used for receiving a frequency-coded pulse sequence or a time-coded pulse sequence, and the pulse generation module comprises a first charge packet counter sub-circuit, a second charge packet counter sub-circuit and a mode signal input circuit. The disclosure can receive a frequency-coded pulse sequence or a time-coded pulse sequence, has a simple structure, occupies a small area, and is suitable for various forms of pulse sensors.

The utility model relates to the technical field of medical health, in particular to a human body multi-mode physiological signal acquisition device which comprises an acquisition host, a base arranged behind the acquisition host, a touch screen arranged on a front panel of the acquisition host, a camera arranged in the top of the touch screen and used for face recognition and acquisition, and a microphone port embedded in the bottom of the touch screen. A sensor interface is arranged on the upper side in the base, a signal transmission line is connected to the sensor interface through a connecting plug, the tail end of the signal transmission line is divided into two connecting lines, two sets of fingerstalls are connected to the two connecting lines respectively, and a heart rate sensor, a pulse sensor, a blood oxygen saturation degree sensor and a skin temperature and skin electric sensor are integrated in the two sets of fingerstalls. According to the utility model, a plurality of physiological sensors are integrated, a plurality of physiological signals including heart rate, pulse, oxyhemoglobin saturation, skin temperature and skin electricity, voice, face and the like can be synchronously acquired, and data are processed and analyzed through an advanced algorithm, so that the accurate assessment of the psychological state of an individual is realized.

The invention relates to a music drama rehearsal multi-parameter backtracking analysis system and method, and belongs to the technical field of music drama rehearsal, the system comprises a rehearsal hall body, a data acquisition module, a topological feature extraction module, a multi-view fusion analysis module, a performance optimization module, a redisk database and a redisk engine, acoustic data, facial expression data, breathing data and action data of actors are collected through a sound field array microphone, an infrared marking camera, a pulse sensor and an all-dimensional camera array; constructing a performance feature space and a performance state manifold by using a topological data analysis technology, and extracting persistent topological features; performing consistency analysis on the topological characteristics of the multiple visual angles, and selecting an optimal visual angle combination; based on a performance quality evaluation model, an optimization path from a current performance state to a target state is calculated, a key breakthrough point is identified, special practice is designed, and the method realizes all-around, multi-dimensional and precise analysis and guidance of the music drama rehearsal process.

The invention provides an intelligent axillary crutch device, relates to the technical field of medical rehabilitation equipment, and solves the problem that traditional axillary crutches can only provide mechanical support and cannot perform quantitative monitoring and datamation management on rehabilitation indexes. The device comprises a walking stick body, and a chip module assembly integrating a central processing module and a wireless communication module is arranged in a waterproof cavity below an armpit support; a data acquisition module is arranged at the side pipe, the grip and the base and comprises a pressure sensor, a motion sensing assembly and a heart rate and pulse sensor. The data acquisition module acquires multi-dimensional motion parameters, the multi-dimensional motion parameters are processed into structured rehabilitation data through an algorithm of the central processing module, the structured rehabilitation data are transmitted to the terminal in real time through the wireless communication module, breakpoint resume is supported, quantitative monitoring and datamation management of rehabilitation indexes are achieved, accurate rehabilitation requirements are met, and meanwhile data support is provided for clinical research.

The utility model discloses a kind of electric leakage detection early warning ground nails, comprising: metal rod and detector on the metal rod, the detector includes shell, pulse sensor, main control unit, detection switch and alarm, the shell is insulating shell and is connected with the metal rod, the detection switch is equipped on the shell, the shell inside encapsulation has the pulse sensor, main control unit and alarm, wherein, the pulse sensor is connected with the metal rod, the detection switch, alarm and pulse sensor are connected with the main control unit. The device can be inserted in the ground at the side of street lamp, power distribution cabinet and other equipment needing to detect whether leakage, when these equipment appears leakage, electromagnetic pulse generated by alternating current can be detected by pulse sensor, after pulse sensor transmits signal to main control unit, main control unit can control alarm to alarm, can directly remind passing personnel to pay attention to leakage danger.

The application provides a force control feedback and data cooperation method and system for body robot pulse collection, which divides the pulse collection process into a contact establishment stage, a signal stabilization stage and a continuous collection stage in sequence, and presets different force control feedback strategies for each stage; in the signal stabilization stage, the contact force signal between the robot end and the human body and the pulse signal collected by the pulse sensor are collected in real time; at least one pulse signal stability index is extracted from the pulse signal; when the pulse signal stability index continuously maintains in the target stability range within a preset time length, it is determined to enter the continuous collection stage; through the phased force control strategy and the feedback mechanism based on the signal quality, the accuracy, stability and reliability of the pulse collection are significantly improved, and the problems of the force control feedback not being associated with the signal quality, ignoring the phased characteristics and lacking disturbance compensation in the prior art are solved.

The utility model discloses a bearing impact pulse sensor sealing assembly and a pulse sensor with the same. The sealing assembly comprises a sensor mounting seat, an O-shaped sealing ring I is embedded in the upper part of the sensor mounting seat, the bottom of the sensor mounting seat is provided with a bulge contacted with the surface of the bearing, and a threaded hole is formed in the middle of the sensor mounting seat and is used for fixedly attaching the impact pulse sensor to the sensor mounting seat; through holes are formed in the periphery of the sensor mounting seat and connected with the bottom of the main body assembly through fixing bolts; the interior of the main body assembly is hollow and is used for arranging the impact pulse sensor, two circles of grooves are formed in the outer wall of the middle section of the main body assembly, O-shaped sealing rings II are arranged in the grooves, and a welding flange is arranged on the outer wall of the main body assembly in a sleeving manner and is sealed with the main body assembly through the O-shaped sealing rings II. According to the utility model, the impact pulse sensor achieves the effects of water resistance and oil immersion resistance.

The application provides an AI mental health monitoring method and device based on traditional Chinese medicine data and electronic equipment, and relates to the field of monitoring. The method comprises the following steps: collecting pulse data of a user through a pulse sensor, and collecting electroencephalogram data of the user through an electroencephalogram collector; in response to at least two kinds of real-time change data in 3D dynamic model, pulse data and electroencephalogram data meeting specified psychological emotional fluctuation phenomenon data, judging whether the interval of the change occurrence time corresponding to the at least two kinds of real-time change data is less than a specified time interval, if the interval is less than the specified time interval, determining the surrounding environment voice content and the surrounding environment image content corresponding to the change occurrence time from the surrounding environment video, analyzing the psychological stimulation point object of the user based on the surrounding environment voice content and the surrounding environment image content through an AI system, and generating a mental health monitoring strategy for the user according to a plurality of psychological stimulation point objects.

Provided is a blood pressure measurement apparatus, comprising: a housing (100), a signal processor, a plurality of electrocardiographic electrodes, and a pulse sensor assembly (200). The signal processor is located in an accommodation space. At least some of the electrocardiographic electrodes are located outside the housing (100), and the plurality of electrocardiographic electrodes are configured for acquiring electrocardiographic signals of different parts of a human body. At least a part of the pulse sensor assembly (200) is located outside the housing (100) and is configured for acquiring a pulse signal of the human body. The electrocardiographic electrodes and the pulse sensor assembly (200) are each electrically connected to the signal processor. The signal processor is configured for determining a blood pressure value according to the pulse signal and the electrocardiographic signals. The blood pressure measurement apparatus can calculate the blood pressure of a human body by means of the acquired pulse signal and electrocardiographic signals.

The utility model relates to flowmeter technical field especially relates to a kind of high-precision liquid flow metering device based on screw drive, it include: barrel, first connecting flange, second connecting flange, bearing end cover, first screw rotor, second screw rotor, counting code disc, pulse sensor;Wherein, the barrel inside hollow, the first connecting flange is arranged in one end of the barrel, the second connecting flange is arranged in the other end of the barrel, the first screw rotor with the second screw rotor is arranged in the barrel inside and the tooth surface of the first screw rotor with the tooth surface of the second screw rotor is mutually engaged, the first screw rotor is close to the second connecting flange and the end of counting code disc is set, the pulse sensor with the lateral surface of the barrel is screw connection, the bearing end cover is arranged between the first connecting flange and the barrel.The utility model improves the measurement accuracy.

The application relates to a photoelectricity-assisted complex shearing path fracture test fixture and a detection method, which comprises a motion unit, a clamping unit and a data detection unit; the motion unit comprises a motion cover plate and a fixed cover plate, both of which are fixedly connected with a testing machine, and the clamping unit and the data detection unit are fixed on the motion unit; the clamping unit comprises a motion back plate and a fixed back plate, and the whole structure is symmetrically distributed in the middle part of the motion unit; the data detection unit comprises a pulse sensor and an industrial camera, and the whole structure is distributed on both sides of the motion unit and is fixedly connected with the lower end of the motion unit. The bidirectional clamping is realized through the combined design of the back plate and the cover plate, the fastening force of the test piece is stronger, the photoelectricity-assisted detection method is adopted, the strain path of the complex shearing path fracture can be obtained, the detection precision is improved, the accurate prediction of the damage and unstable fracture behavior is realized, and the method has the functions of high reliability, high efficiency, powerful function and convenient operation.

The invention relates to the technical field of traditional Chinese medicine diagnosis and treatment, and discloses a household traditional Chinese medicine diagnosis and treatment robot based on an artificial intelligence technology, which comprises a multi-modal data acquisition module, an integrated tongue picture acquisition unit, a pulse condition sensor array and a voice interaction unit, and is characterized in that the tongue picture acquisition unit is internally provided with a multispectral imaging device and an ambient light compensation algorithm; the pulse condition sensor array adopts flexible piezoelectric materials to form a Sudoku topological structure, and floating, middle and sinking pulse pressure waveforms of cun-guan-chi three parts are captured in real time. Through multi-level and multi-dimensional technical innovation, the scientificity, the intelligent level and the user experience of family traditional Chinese medicine diagnosis and treatment are comprehensively improved, the bottleneck that traditional Chinese medicine diagnosis and treatment are limited by professionals and environments is broken through, digital transformation, popularization and application of the traditional Chinese medicine diagnosis and treatment technology are promoted, and wide market prospects and social value are achieved.

A safe driving control system that combines pulse and vehicle speed, including left and right handlebars for a motorcycle, is characterized in that: pulse sensors are mounted on both handlebars, the pulse sensors being connected to the left and right pulse signal input terminals of a processor, respectively; the processor is further connected to a rotation angle sensor, which is mounted in the motorcycle's steering system; the processor is further provided with a data interaction terminal group connected to a human-computer interaction device; the processor is further connected to a wireless communication unit for external communication; and the processor is further connected to a power management system. The present invention has the significant effects of being able to monitor the driver's pulse rate in real time, providing different degrees of prompts to the driver based on the pulse rate and ensuring safe operation in combination with vehicle steering data; uploading the pulse rate to a remote backend; and regulating the driver's driving habits, thereby ensuring safe driving and preventing traffic accidents.

The invention provides intelligent nursing pants. The intelligent nursing pants comprise a pants body; the PPG pulse sensors are arranged on trouser legs of the trouser body; the infrared physiotherapy module is detachably and fixedly connected with the pants body; the system further comprises an Internet of Things module, a voice interaction module and a humidity sensor, the PPG pulse sensor infrared physiotherapy module and the humidity sensor are both connected with the Internet of Things module, and the voice interaction module is connected with the Internet of Things module. Nursing personnel or a bedridden person can control the PPG pulse sensor and the infrared physiotherapy instrument by sending voice, the bedridden person can be nursed intelligently, the intelligent degree of nursing is improved, and the labor intensity of the nursing personnel is reduced.

The utility model relates to a blood pressure measuring device. The blood pressure measuring device comprises a shell, a signal processor, a plurality of electrocardio-electrodes and a pulse sensor assembly. And the signal processor is positioned in the accommodating space. At least part of the electrocardio-electrodes are located outside the shell, and the multiple electrocardio-electrodes are used for collecting electrocardio-signals of different parts of the human body. At least part of the pulse sensor assembly is located outside the shell and used for collecting pulse signals of the human body. Wherein the electrocardio-electrode and the pulse sensor assembly are electrically connected with the signal processor. The signal processor is configured to determine a blood pressure value according to the pulse signal and the electrocardiosignal. According to the blood pressure measuring device, the blood pressure of the human body can be calculated through the collected pulse signals and electrocardiosignals.

The utility model belongs to the technical field of batching, and provides an automatic conveying system for batching, which comprises a conveying mechanism correspondingly arranged on the side edge of a material barrel. A plurality of material barrels are arranged, and the material barrels are arranged in sequence; a placement frame is arranged at the lower end of the material barrel, and a pulse sensor is arranged at the bottom of the placement frame; the conveying mechanism comprises a sliding rail, a sliding part, a supporting frame, a pulse receiver, a control screen and a mechanical arm, the pulse receiver is arranged on the outer wall of the sliding part, and the pulse receiver and the pulse sensor are oppositely arranged. According to the automatic conveying system for batching, materials can be conveniently and automatically added into different material barrels, manual operation is avoided, the working efficiency is improved, and application and popularization are facilitated.

The invention belongs to the field of health screening instruments, and particularly relates to an exercise prescription health screening system based on pulse rest. The system comprises an acquisition module, a processing module and a regulation and control module. The acquisition module comprises a hanging ring, and the hanging ring is made of a silica gel material; a pulse sensor is arranged in the hanging ring, and the pulse sensor is a piezoelectric sensor; a plurality of airflow sensors are fixedly arranged on the right side of the pulse sensor in the hanging ring, and the airflow sensors are MEMS microphones; pressure sensors are evenly distributed on the surface, making contact with the neck, of the hanging ring. A gyroscope for collecting three-axis acceleration is arranged in the hanging ring, and the pulse sensor is used for collecting pulse data of the neck of a user. According to the scheme, the collection module, the processing module and the regulation module cooperate, the limitation of the prior art is broken through, and the problem that exercise prescription health screening is inaccurate due to the fact that physiological signals are easily disturbed by behaviors of a user when collected at the neck part is solved.

The invention provides an AI mental health monitoring method and device based on traditional Chinese medicine data and electronic equipment, and relates to the field of monitoring. The method comprises the steps that pulse data of a user are collected through a pulse sensor, and brain wave data of the user are collected through a brain wave collector; in response to the fact that at least two kinds of real-time change data in the 3D dynamic model, the pulse data and the brain wave data conform to specified psychological emotion fluctuation phenomenon data, whether the interval of change occurrence time corresponding to the at least two kinds of real-time change data is smaller than a specified time interval or not is judged; if yes, determining surrounding environment voice content and surrounding environment image content corresponding to the change occurrence time from the surrounding environment video, analyzing psychological stimulation point objects of the user through an AI system based on the surrounding environment voice content and the surrounding environment image content, and generating a psychological health monitoring strategy for the user according to the psychological stimulation point objects.

System for controlling the braking behavior of a vehicle, comprising a central or decentralized control unit (13, 33) which is connected to a plurality of vehicle sensors (5, 7, 9, 11), one of which sensor (5) is coupled to a brake pedal (3) for determining its position or movement, characterized in that the control unit (13, 33) is equipped to detect an actual blockage of the brake pedal (3) or to predict an impending blockage by means of: - a force sensor arranged on a brake pedal plate for checking the proportionality of the actuation force to the brake pedal travel, - an accelerator pedal travel sensor for detecting unintentional actuation, - an ultrasonic sensor arranged in the footwell of the vehicle (1) for detecting foreign objects behind or next to the brake pedal (3) via distance detection,- a camera arranged in the footwell of the vehicle (1) for detecting foreign objects behind or next to the brake pedal (3) by object identification in an image of the footwell, - a force sensor arranged on the floor of the footwell of the vehicle (1) behind the brake pedal (3) for detecting foreign objects behind the brake pedal (3) by means of the brake pedal force transmitted from it to the floor of the footwell, - an interior microphone arranged near the brake pedal (3) for recording noises produced by foreign objects coming into contact with the brake pedal (3), - a seat mat or a force sensor in a seat cushion for determining a force transfer from the seat cushion to the backrest of the driver's vehicle seat when the brake pedal (3) is pressed, - another interior camera for detecting a blocked brake pedal (3) based on the driver's facial expression, - another interior microphone for detecting the blocked brake pedal (3) by means of exclamations from the driver,- a force sensor on the steering wheel for detecting the blocked brake pedal (3) by the driver gripping the steering wheel more tightly; - a pulse sensor for detecting the blocked brake pedal (3) by an increase in the driver's pulse; - at least one environment sensing sensor (11) for detecting the blocked brake pedal (3) by a reduction in the distance of the vehicle (1) to other vehicles or obstacles, wherein the control unit (13, 33) has an artificial intelligence (15) which is trained once in a test vehicle using the sensor signals obtained during a test drive, whereby a predetermined number of tuples (21) are generated, each comprising an explanatory feature (21a) formed by measurement data from the sensors (5, 7, 9, 11) and an explained feature (21b) in the form of the blocking state of the brake pedal (3) prevailing at the time of measurement; wherein all generated tuples (21) are divided into a training set (25) and a test set (27)whose sets do not overlap, are divided, with which a mapping function for the prediction of the blocking states of the brake pedal (3) is generated using one or more supervised learning methods, wherein the prediction method to be applied of the artificial intelligence model (15) is determined on the basis of a degree of deviation of a predicted unknown tuple (29) from the test set (27), which is implemented in the control unit (13, 33) of a production vehicle (1), in which the sensor data transmitted by the sensors (5, 7, 9, 11) to the control unit (13, 33) are processed in such a way that they are used by the implemented artificial intelligence model (15) for predicting the brake pedal state in order to adapt the brake pedal tension in order to detect the driver's braking request even in the case of partial blocking of the brake pedal travel.

A spindle phase acquisition method comprises the following steps: 1) A rotary encoder employs a contact principle, with its rollers directly contacting the spindle; 2) As the spindle rotates, it drives the rollers of the rotary encoder to rotate; 3) A rotational pulse sensor mounted on the rollers sends out a series of pulses, each representing a certain distance value; 4) The pulse signals from the rotary encoder are transmitted to a wireless acquisition unit via a signal cable, converted into digital quantities of 0 and 1, and wirelessly transmitted to a data processing unit via Wi-Fi; the data processing unit counts the 0s and 1s to calculate the spindle's rotational phase and linear velocity.