12 results about "Face muscles" patented technology

The invention discloses a levator face muscle strength assessment method based on slow-speed instant-eye video analysis. The method comprises the following steps: inputting a slow-speed instant-eye video and physiological information of a subject; dividing the video clips by using a face mark detection method to obtain monocular instant video clips, and forming a data set by the physiological information, the slow instant video, the corresponding monocular instant video clips and the labels; constructing a dual-path recognition network which comprises a text feature extraction module, a low-speed channel module, a high-speed channel module, a fusion module and a prediction module, wherein the low-speed channel module and the high-speed channel module are parallel; training the dual-path identification network by using the data set to obtain a video classification model; and inputting the low-speed instant video to be identified and the physiological data into the video classification model to output a corresponding prediction result. The invention further provides a system for evaluating the muscle strength of the upper face muscles. According to the method provided by the invention, the muscle strength of the lifting facial muscle can be quickly evaluated, and a more perfect reference is provided for a subsequent treatment scheme.

The present application relates to the technical field of functional woven fabric, in particular to a face-slimming beauty headgear and a weaving process for weaving the face-slimming beauty headgear. The face-slimming beauty headgear is an elastic fabric structure woven by an integrated weaving process. The face-slimming beauty headgear comprises a body matched with the head, the bottom of the body has a neck opening for wearing, the face of the body has a mouth and nose opening and two eye openings, the back of the body has a back opening, and the two sides of the body are provided with elastic stretch parts extending to the back of the brain. The face-slimming beauty headgear can form a covering effect on the whole head and face, prevent the irradiation of sunlight, protect the facial skin from external interference, and achieve the purpose of face slimming. The face-slimming beauty headgear utilizes the elastic stretch parts to stretch the facial muscles backward, so that the facial muscles can be relaxed and contracted backward at the same time, thereby achieving the purpose of face slimming. The face-slimming beauty headgear is convenient to wear and can be adjusted after being worn, and is suitable for different head shapes.

1. Name of the product in this design: Fascia Gun (CJ90). 2. Purpose of this product design: A fascia gun for facial muscle massage and relaxation. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design highlights: 3D view of component 1.

The invention discloses a bionic facial structure and a high-fidelity facial expression interaction robot system. The system comprises an eyebrow control part, a lip and cheek control mechanism, an eye control part and a lower jaw control part, according to the invention, abundant multi-degree-of-freedom facial movement forms are realized, so that facial expressions are more natural; a transmission system for controlling facial muscles is simplified, the number of overall degrees of freedom of the mechanism is reduced, and the naturalness of expressions is improved through elastic restraint of the outer skin; the method can be applied to a deep man-machine interaction scene of the humanoid robot, and has a wide application prospect.

The application relates to a face lifting beauty instrument, which belongs to the technical field of medical beauty equipment and comprises a head-mounted frame and a lifting device. The head-mounted frame is arranged in an inverted U-shaped mode, and the lifting device is arranged on the two sides of the head-mounted frame. The lifting device comprises a lifting wheel, a micro motor, a limit switch, a central shaft, a spring and a shell. The lifting wheel is installed on the central shaft and is driven by the micro motor. When the lifting wheel rotates, an upward lifting force is generated on the face muscles by friction. When the lifting force is greater than a set value, the lifting wheel stops rotating. When the lifting force is less than the set value, the lifting wheel rotates again, so that the lifting device always maintains an upward lifting force on the face muscles. The face lifting beauty instrument is suitable for personal home leisure and can improve the sagging condition of the face muscles, and provides a physical treatment scheme without surgery for the face muscle sagging requiring beauty personnel.

1. The name of the design product: masseter muscle training device. 2. The use of the design product: for facial muscle shaping. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present application relates to the technical field of infant care, and in particular to a method and system for infant facial expression recognition and emotional state analysis, which synchronously collects infant facial video and wearable physiological parameters to obtain multi-modal monitoring data; uses physiological data to match expression timing feature fluctuation, quantifies full-face muscle movement differences, and further estimates emotional abnormality risk; combines timing feature and muscle difference data to output emotional state classification, and generates targeted emotional intervention strategies according to the classification results and risk data matching; constructs an automatic analysis model based on the above classification data and intervention strategies, and deploys it to a cloud platform to perform full-process analysis. This method overcomes single-modal interference through multi-source fusion of vision and physiology, realizes closed-loop management from dynamic expression capture, risk warning to intelligent intervention, and significantly improves the accuracy and real-time monitoring capability of infant emotional recognition.

The invention relates to the field of artificial intelligence and emotion recognition, and discloses a micro-expression detection method and system based on a multi-modal large model, a medium and equipment, and the method comprises the steps: carrying out the face detection of each frame of video, extracting a face region in the video through a deep learning face detection model, and carrying out the unified adjustment of the image size after cutting; a face AU regression network is adopted to extract a face AU feature value of each frame of image so as to represent the motion intensity of face muscles, and face dynamic change information is constructed in combination with a time sequence; and combining the AU features of each frame of image with the image data to generate a language prompt suitable for a multi-modal large language model, training and optimizing the multi-modal large language model to perform emotion reasoning, and performing quantitative evaluation on an emotion reasoning result. According to the method, the accuracy problem caused by tiny change of facial muscles in micro-expression detection is solved; and the reasoning capability and accuracy of the model are improved.

This invention proposes a method and system for robot facial expression imitation. The method includes: establishing a jaw and eye model, constructing a matching facial surface model and dividing it into meshes; selecting n points as nodes to be driven, and setting three shape memory alloy drive rods at each node, one end of which drives the node to move according to facial expression data, and the other end is connected to a human face backplate model, with a controllable current connected to the drive rods; building a database to record the correspondence between facial muscle movements, facial expressions, jaw and eye model states, and drive rod displacements; and driving the nodes and models to move according to the facial expression data and the database to imitate facial expressions. This invention uses an elastic mesh to construct the model and optimizes the node distribution; it sets 13 key regions as nodes to be driven to capture the core features of facial expressions; and it uses nickel-titanium shape memory alloy drive rods to achieve fine multi-directional displacement of nodes, which has the advantages of smaller size, faster response, and smoother movements compared to traditional servo motor drives.

1. The name of the design product: face muscle shaper. 2. The use of the design product: for exercising face muscles. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The invention discloses a face key point detection system and method based on a millimeter wave radar. The system comprises a millimeter wave data acquisition module, a user head detection module, a face feature extraction module and a face key point detection module. Millimeter wave data are collected through a millimeter wave data collection module, and horizontal movement and vertical movement of face muscles of a user are captured at the same time; determining the position of the face of the user on the distance-angle graph through a user head detection module; interference generated by natural shaking of the body is eliminated through a face feature extraction module, and phase information is compensated to extract effective face motion features; and finally, face key points are detected through a face key point detection module. According to the invention, high-precision face key point detection based on the millimeter-wave radar is realized, and a basic technical support is provided for various man-machine interaction applications such as subsequent expression recognition, fatigue monitoring and augmented reality.

The application discloses a kind of face key point detection system and method based on millimeter wave radar, system includes millimeter wave data acquisition module, user head detection module, face feature extraction module and face key point detection module;Through millimeter wave data acquisition module, millimeter wave data is collected, and horizontal movement and vertical movement of user face muscle are simultaneously captured;The position of user face on distance-angle chart is determined by user head detection module;Then, through face feature extraction module, the interference generated by natural body swing is eliminated, and the phase information is compensated, to extract effective face movement features;Finally, face key point is detected by face key point detection module.The application realizes high-precision face key point detection based on millimeter wave radar, and provides basic technical support for subsequent expression recognition, fatigue monitoring, augmented reality and various human-computer interaction applications.