60 results about "Head posture" patented technology

The application discloses a mobile phone screen display image enhancement method and system, and relates to the technical field of mobile phone screen control.The method comprises the following steps: acquiring a user face video stream and mobile phone space motion data; identifying head posture information according to the user face video stream; identifying mobile phone posture information by using an extended Kalman filter according to the mobile phone space motion data; calculating a polarization axis included angle between a polarization axis of polarized sunglasses and a polarization axis of a mobile phone screen according to the head posture information and the mobile phone posture information; determining mobile phone screen adjustment parameters according to the polarization axis included angle; and performing compensation processing on the mobile phone screen according to the mobile phone screen adjustment parameters, wherein the compensation processing comprises brightness compensation and color compensation.The application can determine mobile phone screen adjustment parameters in combination with head posture information and mobile phone posture information, and perform brightness compensation and color compensation, so as to realize display image enhancement, and improve accuracy and user experience.

The application discloses an eye movement detection method and system and a storage medium, which are applied to eye movement measurement requiring a subject to gaze at a visual target, and relate to the biomedical field, in particular to the technical field of eye movement detection. The eye movement detection method comprises the following steps: acquiring head posture data of the subject; determining a compensation amount of the visual target according to the head posture data, wherein the compensation amount comprises a compensation displacement amount and / or a compensation rotation amount; updating a display position and / or an orientation of the visual target according to the compensation amount of the visual target, so that a direction in which a center of an eyeball of the subject points to the visual target is consistent with a direction in which the center of the eyeball of the subject points to the visual target in a preset reference state; collecting eye image data of the subject during presentation of the visual target; determining at least one eye movement parameter based on the eye image data; and outputting an eye movement measurement result of the subject based on the head posture data and the eye movement parameter. According to the scheme, the influence of non-target eye position adjustment of the subject on the eye movement measurement result caused by the subject for maintaining the gaze is reduced, and the accuracy of the eye movement measurement is improved.

This application relates to a back meridian therapy device that is easy to adapt and adjust, including: a system control host, a therapy camera, a seat, a therapy arm, and a headrest adjustment component. The system control host has a preset control program for controlling the operation of the back meridian therapy device. The therapy camera is communicatively connected to the system control host. The seat is located horizontally in front of the therapy camera. One end of the therapy arm is mounted on the system control host, and the other end is equipped with a meridian therapy head. The headrest is mounted on the headrest adjustment component, which is slidably mounted on the system control host. This allows adjustment of the tilt angle and sliding distance of the headrest on the meridian therapy device to accommodate the height, sitting posture, and head posture needs of different users. Furthermore, during different meridian massages on the back, it is convenient to adjust the prone position according to the massage location, thereby improving the accuracy of the massage.

The application provides a cabin adjustment method, device, equipment, medium and program. It relates to the technical field of cabin adjustment. The method comprises the following steps: acquiring video data and pressure data of passengers in a vehicle within a preset time length; performing feature extraction on each frame of image in the video data to obtain a target seat of a child among the passengers, a head posture, a facial expression and a continuous closed-eye time length; obtaining a pressure sum, a pressure center and a pressure change of the child based on the target seat and the pressure data; performing weighted processing on the head posture, the facial expression and the continuous closed-eye time length, the pressure sum, the pressure center and the pressure change according to a fusion weight to obtain fusion data of the child; taking the fusion data as an input of a state estimation model to obtain a child state corresponding to the child; and adjusting the cabin of the vehicle to a state conforming to the child state according to the child state and a preset cabin adjustment rule. The application achieves the effect of improving the safety and comfort of the child during the ride.

The application relates to the technical field of data processing, in particular to a tablet computer use time warning method and device, which comprises the following steps: monitoring a touch event sequence of a target user on a tablet computer; determining a touch control point sequence according to the time interval between adjacent touch events in the touch event sequence; performing trajectory fitting on the touch control point sequence according to a Bezier curve to obtain a touch trajectory; determining an operation intensity label of the target user according to the touch event sequence and the touch trajectory; monitoring a head posture video of the target user; and obtaining a video frame sequence of the head posture video. The application can accurately evaluate the operation intensity of the user by monitoring the touch event sequence of the user on the tablet computer and fitting the touch trajectory according to the time interval between events and the Bezier curve, and the accurate evaluation is helpful for judging whether the user has the risk of over operation.

Disclosed herein is an apparatus comprising a camera and a processing unit operatively coupled to the camera, wherein the processing unit is configured to: receive a sequence of images captured by the camera; process a first image of the received sequence of images to compute respective likelihoods of each of a plurality of predetermined facial features being visible in the first image; compute, from the computed likelihoods, a probability that the first image depicts a predetermined first side of a human head; responsive to at least the computed probability exceeding the predetermined detection probability, trigger performance of a predetermined action.

This invention proposes a smart home control method and system based on human-computer interaction. The method includes: collecting user voice signals, gesture images, head posture information, and environmental state information to construct a multimodal interaction sequence; inputting the multimodal interaction sequence into an improved temporal fusion model to identify the user's control intention, outputting a final fusion representation vector, and generating control intention triples through three sets of parallel discrimination modules; evaluating the logical consistency and expression stability of the control intention triples, calculating a confidence score, and combining it with the control intention triples to output an intention quadruple; based on the intention quadruple, when the corresponding confidence score exceeds a preset threshold, converting the corresponding control intention triple into a control command for the corresponding target device and executing it. This invention significantly improves the fuzzy expression parsing capability, the accuracy of target device determination, and the stability and robustness of the actual execution process.

This invention provides a head-mounted device control method, apparatus, device, and storage medium, belonging to the field of device control technology. The method includes: acquiring head posture data and motion data of a user wearing the head-mounted device; determining the user's behavior pattern based on the head posture data and motion data; and if the behavior pattern is a privacy risk mode, controlling the camera component of the head-mounted device to prohibit shooting operations. This avoids errors in determining privacy risk modes caused by positioning errors when relying on geographical location or specific scenarios, and also avoids privacy leaks caused by images captured by the camera component to identify the user's environment or scene. Furthermore, by prohibiting the head-mounted device from executing shooting commands based on the camera component when the user's behavior pattern indicates a privacy risk mode, this invention reduces the probability of head-mounted devices infringing on user privacy.

The application discloses an auditory assistance method, a head-mounted display device and a storage medium, and relates to the technical field of head-mounted display devices. The auditory assistance method comprises the following steps: acquiring attention perception data of a user, wherein the attention perception data comprises eye movement tracking data and head posture data; determining a target sound source direction based on the attention perception data; performing enhancement processing on a sound signal from the target sound source direction, and performing speech recognition on the enhanced sound signal to obtain speech recognition text; and generating auditory assistance information based on the speech recognition text. The application can improve the speech recognition accuracy of an intelligent hearing aid device.

The utility model provides a medical head lamp with quick detachable buckle, including headband and shell, the front end of shell is installed the lamp holder, the front end of headband is provided with the base plate, the back of shell is equipped with the accommodating groove, the base plate is installed with the limit strip, the shell is through accommodating groove and is equipped on the base plate and limit strip, can slide along the base plate length direction, wherein, the inner wall of accommodating groove is equipped with the chute no. 2 that penetrates shell. The utility model discloses single -handed pressing formula unlocking design, only needs thumb or forefinger pressing to be able to instantaneous release locking, carries out the stepless sliding adjustment of lamp holder position, loosens and is automatically locked in the operation process of surgeon or, only one hand, the whole adjustment process is smooth, rapid, need not interrupt the current operation, also need not the other hand auxiliary, improves work efficiency and operation experience, the whole adjustment process need not touch headband, avoid interference medical staff head posture and sterile area, operation is more flexible.

A posture tracking apparatus and method are provided. The apparatus captures an eye image of a user. The apparatus calculates an eye posture based on the eye image. The apparatus captures a reflected image from the eye image. The apparatus calculates a head posture of the user based on the reflected image and the eye posture.

The application discloses a kind of vestibular function detection systems based on virtual reality technology, it is related to medical detection equipment field.The system includes the head-mounted virtual reality display device with environmental isolation unit and head posture sensing unit, and eye tracking module, face inlay type physiological signal acquisition module, interactive control module and data processing module.Data processing module is issued trigger pulse with uniform system time stamp by clock synchronization management unit, realize the microsecond level time axis alignment of multi-source heterogeneous data;While extracting physiological signal fluctuation, dynamically self-adapting adjustment Kalman filter model in observation noise covariance matrix, accurately filter stress microflicker noise;In addition, system built-in dynamic feedback logic loop, when monitoring physiological index first derivative overrun, automatically degrade visual parameters.The application completely eliminates visual environmental interference, solves the high-precision synchronization problem of multi-modal data, and constructs the safe closed-loop mechanism against severe vertigo.

This invention proposes a diving goggles based on multimodal interaction and its image capture control method. It belongs to the field of intelligent wearable devices and underwater interaction technology. The method includes: simultaneously acquiring the user's eye movement trajectory, facial electromyography signals, head posture data, and underwater environmental visual images through a multimodal sensor group built into the diving goggles, generating four sets of biological and environmental signal data; performing spatiotemporal alignment preprocessing on the four sets of signal data to construct a joint feature vector of user intent and environmental state; through the coordinated interaction of the four sets of signals (eye movement, electromyography, posture, and vision), this method can accurately capture the user's shooting intent in complex underwater environments, effectively reducing the false trigger rate caused by water flow interference or misoperation, and improving the accuracy of shooting commands.

The application relates to the technical field of head posture detection, and discloses a state monitoring method and device, a wearable device and a storage medium, the method comprising the following steps: collecting head posture data of a to-be-detected object in real time; identifying a current head posture of the to-be-detected object according to the head posture data; and generating corresponding state notification information when the duration of the current head posture reaches a threshold value. The application improves the accuracy of user head posture monitoring, can accurately identify the bad posture of a user and timely remind the user.

This invention discloses a brain-computer interface (BCI) teaching demonstration system and control method, belonging to the field of BCI and artificial intelligence education technology. The system includes: a multi-channel EEG headband for synchronously acquiring EEG signals and head posture data; an edge AI hub with a built-in NPU accelerator for dynamically gating and adaptively filtering EEG signals based on head posture data, generating a two-dimensional time-frequency graph through complex Morlet wavelet transform, and using a lightweight RepEEG-Net neural network with structural reparameterization and quantization processing to analyze user intentions in real time, while simultaneously generating visualized teaching data; and a microcontroller execution chassis equipped with a real-time operating system (RTOS) for controlling the actions of the execution mechanism through multi-priority task scheduling. This invention achieves low-latency, highly interference-resistant brain-controlled demonstrations by deploying lightweight intelligent algorithms at the edge, and visualizes the algorithm processing process, significantly improving the real-time performance, robustness, and intuitiveness of the teaching demonstration.

The application relates to a 3D simulation head movement method and device, a storage medium and an electronic equipment, and relates to the technical field of data processing. The method comprises the following steps: acquiring posture data of the actual head posture of a target patient at present through a nine-axis IMU built in a convenient eyepiece; pre-processing and calibrating the posture data respectively to obtain processed data; fusing gyroscope data, accelerometer data and magnetometer data in the processed data through a complementary filtering algorithm to obtain a head posture solution result of the target patient; generating a target quaternion under a world coordinate system according to the head posture solution result, the target quaternion being a quaternion representing the actual head posture; adjusting the posture of a head three-dimensional model of the target patient to the actual head posture according to the target quaternion; and synchronously displaying the head three-dimensional model in the actual head posture and the actual video frame of the target patient at present in a terminal. The application has the effect of improving the accuracy of examination results.

The application discloses a method and system for identifying swallowing disorder risk based on machine vision, which comprises the following steps: receiving video acquisition data, loading a target identification model, the target identification model being pre-configured with multiple sets of quantization sub-parameters, different quantization sub-parameters corresponding to different quantization bit widths; obtaining the hardware state information of the video acquisition data source terminal, selecting target sub-parameters for the network blocks of the target identification model from the multiple sets of quantization sub-parameters based on the hardware state information; extracting features from the video acquisition data by using the target identification model configured with the target sub-parameters to obtain throat movement features, facial movement features and head posture features; generating a swallowing stability parameter based on the throat movement features, the facial movement features and the head posture features; comparing the swallowing stability parameter with a preset risk threshold to determine a risk level and performing differentiated message pushing. The method significantly improves the universal deployment reliability and continuous monitoring stability of the swallowing disorder risk identification.

This invention relates to the field of wind power operation and maintenance training technology, and discloses a wind power bolt hydraulic tightening training system and method based on the GWO standard. The method collects the fingertip pressure distribution matrix, head posture data and breathing frequency of the operator, calculates the virtual fluid injection effectiveness index, and generates a virtual fluid dynamic liquid surface function and liquid surface fluctuation rate. Based on this, it performs virtual breathing light strip rendering, generates operation background sound and provides visual warnings, and calculates the virtual fluid viscosity coefficient and converts it into damping control current to realize variable damping tactile feedback and tactile pre-compression tightening and reverse ejection bidirectional interaction. This invention establishes a tactile communication channel that bypasses language barriers in visual isolation and high-noise environments by constructing a virtual fluid model that couples biological characteristics and mechanical movements. By utilizing flexible damping interlocking and bidirectional tactile interaction, it effectively solves the technical problems of low coordination and high safety hazards caused by lack of perception in collaborative operations in confined spaces.

This invention discloses a method for screening autism children based on eye movement detection using ordinary video. The method comprises a video acquisition unit, a preprocessing unit, an eye movement estimation unit, a scene analysis unit, a feature quantization unit, a screening inference unit, and a display unit. It uses an ordinary camera to capture facial video of children, integrates head posture compensation to achieve label-free eye movement tracking, automatically segments dynamic social regions and extracts autism-specific eye movement features, completes risk screening through a lightweight model, and outputs a visual report. This invention requires no professional eye tracker, no head fixation, is suitable for children with low cooperation, and is fully automated. It has the advantages of low cost, strong robustness, good interpretability, and ease of implementation at the grassroots level, making it suitable for large-scale early screening of autism children.

This utility model discloses an ironing device with switchable head posture, belonging to the field of garment ironing technology. Existing handheld ironing devices require two hands to operate when changing working postures. This utility model addresses this by configuring an angle limiting structure between the head and the handle. This angle limiting structure restricts the head's rotation between a first position and a second position. An elastic force is also applied to the head to hold it in the first or second position. During the latter part of the head's rotation in one direction between the first and second positions, this elastic force assists the head in rotating to the first or second position. To change the head posture, the handle can be grasped, and the head can be pressed against an external object such as clothing or an ironing board to apply external force. This external force generates torque on the head, causing it to rotate and, with the help of the elastic force, rotate into and maintain the corresponding position. Therefore, only one hand is needed to switch the head posture, improving convenience.

The application provides a learner intention reasoning method and system for an online learning scene, comprising: acquiring an online learner image, synchronously performing head posture recognition, trunk posture recognition and interactive behavior recognition through a multi-task joint training framework to obtain enhanced shared features; constructing a heterogeneous graph containing an expression node, a posture node and an object node from the obtained enhanced shared features; based on the constructed heterogeneous graph, performing feature coding through hierarchical feature extraction to output a reasoning intention. Through the weighted sum of two-level label comparison loss, the optimization objectives of different levels of features are taken into account, so that more fine semantic expression and higher intention reasoning accuracy are realized in a complex online learning scene.

This utility model discloses an ironing device that allows for one-handed switching of head posture, belonging to the field of garment ironing technology. Existing handheld ironing devices require two hands to change working postures. This utility model addresses this by placing the head on the handle, with a control component on the handle that is manipulated by the fingers of the hand holding the handle. A mechanical linkage mechanism between the control component and the head converts the movement of the control component into head rotation. To switch head postures, simply move the control component with the fingers of the hand holding the handle; the mechanical linkage mechanism then converts this movement into head rotation. This switching action requires only one hand, increasing convenience.

The application discloses an image recognition method and device, and relates to the field of artificial intelligence. The application can train a gaze recognition model to extract gaze information from a face image under unsupervised conditions, can improve the stability and accuracy of the gaze recognition result of the face image, and can accurately recognize the gaze information in the face image even if a face image with a large-angle head posture is collected. In the method, the application can obtain a gaze recognition model for recognizing gaze information in a face image by unsupervised training of an unoccluded face sample image and a face sample image with eyes masked, and does not need to rely on a large number of labeled samples with labeled gaze data for training. After obtaining the aforementioned pre-trained gaze recognition model, the application can directly use the gaze recognition model to accurately recognize the gaze information in a face image to be recognized when the face image to be recognized is obtained.

A data processing method and system, a user state determination method and system, a storage medium, and an electronic device are provided. The data processing method includes: determining a first head posture vector of a target user, wherein the first head posture vector is a vector in a direction of a sagittal axis of a head of the target user; and determining first head orientation data of the target user based on the first head posture vector, wherein the first head orientation data includes angle data of rotation around a coronal axis of the head, and angle data of rotation around a vertical axis of the head. Data straightforwardly representing head orientation is obtained to determine a user state in an assisted driving field.

This invention discloses a spatial soundscape adaptive control method with head tracking, relating to the fields of spatial audio processing and human-computer interaction. The method includes: acquiring head posture data and performing time alignment and filtering to obtain a head state sequence; based on the head state sequence, performing multi-scale decomposition within a preset time window to obtain a multi-scale behavioral feature set; constructing a perceptual factor vector representing the head motion state based on the multi-scale behavioral feature set; constructing a spatial perceptual stable potential field based on the perceptual factor vector and the current head posture; and constraining the sound source parameters in the spatial soundscape within the sound image change tolerance range defined by the spatial perceptual stable potential field to generate a target soundscape parameter set. By distinguishing between conscious rotation and unconscious jitter, dynamic adaptive control is achieved, balancing sound image stability and response sensitivity, enhancing the immersive experience, and is computationally efficient.

This application relates to a method for switching headphone operating modes, a headphone, a computer-readable storage medium, and a computer program product. Applied to headphones, the headphones include a vent valve and an active noise cancellation module. The method includes: acquiring head posture data; adjusting the operating state of the vent valve and the active noise cancellation module based on the head posture data to switch the current operating mode; wherein the vent valve is used to allow or restrict external ambient sound from entering the ear; the active noise cancellation mode neutralizes the ambient sound through reverse sound waves. Using this method, on the one hand, switching headphone modes does not require physical contact with the headphones or through a mobile device application, greatly simplifying the operation process and improving operational convenience and efficiency. On the other hand, it achieves a balance between noise cancellation and wearing comfort in the headphones.

The application relates to the technical field of computer vision, in particular to a head posture tracking method and device, electronic equipment and a storage medium, wherein the method comprises the following steps: converting a video of a to-be-tracked target into an image sequence, inputting the image sequence into a pre-trained occlusion object recognition network, and outputting a mask image of an occlusion object in each frame of the image sequence; dividing the image sequence into a reference frame image and a candidate frame image sequence by using the mask image, and generating a to-be-completed frame image sequence by using the mask image of each frame of the candidate frame image sequence to cover the occlusion area; inputting the to-be-completed frame image sequence, the reference frame image and the mask image into a pre-trained deformation completion network, outputting a completed image sequence, and realizing head posture tracking of the to-be-tracked target based on the completed image sequence. Thus, the problems of false detection and jitter of the head posture caused by the poor robustness of the related art video-based head posture tracking method which is easily affected by the occlusion are solved.

The application provides a multi-target key head posture extraction method based on a visual target guide, which comprises the following steps: performing face detection and inter-frame correlation on a target person to obtain a target trajectory sequence; performing key point detection and template matching on the target trajectory sequence to obtain a standard face template; performing affine alignment on the target trajectory sequence through the standard face template to obtain an aligned image; solving the standard face template by minimizing a projection error function to obtain three-dimensional posture parameters; performing difference on a three-dimensional position sequence of the aligned image to obtain a motion direction; calculating head feature parameters according to the three-dimensional posture parameters and constructing a weighted average model to screen key targets of the aligned image to obtain a key head posture result. Through multi-target face detection, geometric posture estimation and visual target prior modeling, combined with time sequence correlation analysis, the method significantly improves the recognition accuracy and posture estimation stability of key targets in a multi-person scene.