21 results about "Negative mood" patented technology

The invention relates to the technical field of psychological evaluation, in particular to an AI model-based student negative emotion evaluation method, which comprises the following steps of: acquiring facial video data and mouse movement data of a student in real time; state data such as attention degree and hesitation degree of answering of the students are dynamically analyzed, and subsequent emotion test questions are dynamically adjusted according to an analysis result; after an emotion test question of a student is completed, the question weight is dynamically adjusted according to question difficulty, face video data and mouse movement data, the score of the test question is combined, and the emotion score of the student is quantified by adopting a weighted average method. And generating an emotion analysis report of the student according to the question difficulty, the face video data, the mouse movement data and the emotion score. By means of the mode, the problem that the accuracy of the emotion evaluation result of the student is low due to the fact that the face features of the tested student are analyzed in the testing process and data in multiple aspects such as the attention of the student is not considered can be solved.

In a system that provides psychological support based on dialogue with children, this technology offers support that enables information sharing (advocacy) that respects the child's wishes while appropriately understanding changes in the child's emotional state and the urgency of the situation. [Solution] The child support AI system according to the present invention comprises: dialogue history holding means for holding a history of conversations with a user; emotion analysis means for analyzing the user's emotional state based on input information included in the dialogue history; and state mark generation means for determining psychological urgency and generating a state mark based on two evaluation indicators: (i) the frequency (temporal density) of negative emotions appearing within a predetermined time period, and (ii) the emotional intensity in a single conversation. Furthermore, this system presents supporters with status markers corresponding to the determined psychological urgency, and also includes visualization means that, based on user permission to share, presents supporters with summarized information of the conversation content that has been permitted to be shared.

A therapeutic protocol and method for addressing posttraumatic stress and other negative emotional states through visualization techniques, dissociation, neuro-linguistic programming (NLP), and reimprinting of emotions. The protocol, known as the Trauma Resiliency Protocol (TRP) and Emotions Management Process (EMP), mitigates the psychological impacts of traumatic events. The protocol applies NLP principles, uses both secular and faith-based scripts, and incorporates specific grounding exercises to ensure emotional stability. The protocol emphasizes non-clinical interventions and peer coaching, making the protocol accessible for use by mental health professionals, peer coaches, and individuals suffering from PTSD, C-PTSD, and other related conditions. The protocol is applicable in both clinical and non-clinical settings.

The utility model discloses a decompressing ring toy capable of rotating around a finger, which relates to the technical field of decompressing toys and comprises a base and a ball arranged on the base, a semicircular plate is arranged on one side, far away from the ball, of the base, and a round hole for sleeving an early finger is formed in the middle of the semicircular plate; a plurality of semicircular grooves are formed in the end face, provided with the balls, of the base, the balls are placed in the semicircular grooves respectively, and the balls are matched with the semicircular grooves in a universal rotating mode. The finger ring can be conveniently worn on a finger through the round hole in the semicircular plate, so that a user can conveniently play the finger ring; through the cooperation of the semicircular grooves and the balls, one or more balls can be rotated at will, pressure is effectively relieved, and the mood is delighted; the face can be massaged and played by pressing the balls on the face to roll. The utility model has the advantages of simple structural design, convenience in wearing and various playing methods, and can effectively relieve pressure, reduce the generation of negative emotion and effectively adjust the emotion and mental state.

The invention relates to the technical field of psychological counseling, in particular to a psychological catharsis device which comprises a main body frame, a supporting base and a control unit, the supporting base is fixedly connected with the main body frame, a functional module is installed on the main body frame, and a quick-release positioning assembly is installed between the functional module and the main body frame; the quick-release positioning assembly comprises a clamping seat and a plurality of elastic clamping heads; the function module comprises a striking module, a shouting reception module and a pouring conduction module, an elastic limiting assembly, a noise reduction assembly and a force adaptation adjusting assembly are installed in the main body frame, and the control unit is electrically connected with the elastic limiting assembly and the force adaptation adjusting assembly. The control unit is used for controlling the buffering strength and stroke limiting of the elastic limiting assembly according to the releasing force signals collected by the force adaptation adjusting assembly. According to the invention, the user is helped to release negative emotions orderly, and the pertinence and effectiveness of psychological counseling are improved.

The application relates to the technical field of smart endowment, in particular to a smart endowment service automatic supervision system, which comprises classifying the activity items of the old people into timed activities and free activities, determining the mood states and activity characteristic states of the old people in different time periods based on heart rates, establishing the relevance of the mood and the activities and marking the relevant tags, and a service recommendation module combining the real-time mood, the relevant tags and the activity tags to push the optimal services; the application can push the adaptive services by combining the activity characteristics when the old people have negative emotions, timely relieve the emotions, break the vicious circle of "emotional problems leading to physical deterioration", reduce the health risks, optimize the resource allocation according to the correlation between the mood and the service effect, avoid the waste of inefficient services, provide more targeted personalized services, and comprehensively improve the endowment service quality and the life happiness of the old people.

A system is provided.SOLUTION: A system comprising: means for receiving a negative sentiment input from a user; means for analyzing the received input and generating a positive perspective or encouragement message; and means for transmitting the generated message back to the user.SELECTED DRAWING: Figure 1

The utility model discloses a desk and chair capable of reducing moving noise, which relates to the technical field of desks and chairs and comprises a desk and chair body, a backup plate and supporting legs, the supporting legs are mounted at the bottom of the desk and chair body, the backup plate is mounted at the top of the front side of the desk and chair body, and elastic buffer components are mounted at the bottoms of the supporting legs. The elastic buffering assembly is arranged to be matched with the buffering protection assembly to conduct elastic buffering on the outer sides of the desk and chair body, the backup plate and the supporting legs, noise generated during collision is reduced, and the problems that an existing desk and chair can generate noise in the moving process, and the noise generated in the moving process can interfere the class order; the problems that in the prior art, teaching of teachers and listening of students are affected, the students are in a noisy environment for a long time, the students are prone to generating dysphoria, anxiety and other negative emotions, learning enthusiasm and initiative are reduced, inconvenience in use is caused, and the using effect of desks and chairs is reduced are solved, and the effect of mobile noise reduction is achieved.

The invention discloses an elderly intelligent accompanying robot and method based on emotion recognition, and relates to the field of robot control, and the method comprises the steps: firstly, carrying out the preliminary judgment of the external performance of an elderly through video and audio data, and recognizing whether a negative state exists or not; and comparing the physiological data acquired in real time with a pre-stored personalized physiological baseline model of the user to obtain a quantitative physiological anomaly score. And finally, through a gating fusion mechanism, taking the physiological abnormality score as a key judgment basis: if the score obviously deviates from a baseline, judging that the physiological abnormality is physiological discomfort and triggering a corresponding health monitoring action; on the contrary, the emotion problem is confirmed, and emotion pacifying is executed. According to the method, the risk that physiological discomfort is misjudged as negative emotion is effectively avoided, and the robot can deconstruct and express real reasons behind, so that an accurate and safe decision is made.

This application discloses an intelligent companion robot and method for the elderly based on emotion recognition, relating to the field of robot control. It first uses video and audio data to make a preliminary judgment on the elderly person's external behavior, identifying the presence of negative states. Then, it compares real-time collected physiological data with a pre-stored personalized physiological baseline model for the user, thereby obtaining a quantified physiological abnormality score. Finally, through a gating fusion mechanism, this physiological abnormality score is used as the key judgment criterion: if the score significantly deviates from the baseline, it is determined to be physiological discomfort, triggering corresponding health monitoring actions; conversely, it is confirmed as an emotional problem, and emotional reassurance is performed. This method effectively avoids the risk of misjudging physiological discomfort as negative emotions, enabling the robot to deconstruct the true causes behind the appearance, thereby making accurate and safe decisions.

The application discloses a dialogue text-oriented negative emotion recognition method, which comprises the following steps: obtaining dialogue text data and pre-processing the obtained dialogue text data; adopting a pre-training model RoBERTa to perform vectorization representation on the dialogue text, wherein the pre-training model RoBERTa is an improved model of a BERT (Bidirectional Encoder Representations from Transformers) through robust optimization; adopting a Bi-LSTM (Bidirectional Long Short-Term Memory) to extract local features and context semantic features of the text vector and obtain speech level features; and adopting an RGAT (Relational Graph Attention Network) to extract long-distance dependency relationships between speakers and obtain speaker level features. The application provides a dialogue text-oriented negative emotion recognition method, so that the system can effectively extract speech level features and speaker level features at the same time, thereby improving the recognition effect of dialogue text negative emotions.

The invention relates to the technical field of user emotion recognition in digital customer service, in particular to a user emotion recognition method based on text information, a medium and equipment. The method comprises the following steps: determining an influence time period and range of emotional infection based on current time and position; and calculating a comprehensive negative emotion value in combination with the basic emotion score and the emotion scores of other users meeting the conditions. Emotion scores, spatial distance weights and intention weights of other users are considered in a calculation formula, wherein the weight of a high anxiety common intention is higher. The emotion infection effect is accurately modeled through the spatial distance weight function, infection weights of common anxiety and non-common anxiety are distinguished, the accuracy of emotion evaluation under a single text mode is improved, higher weights are distributed to common anxiety events, and the emotion infection effect is enhanced. Therefore, the emotion underestimation of the target user caused by the single text input can be compensated.

The invention discloses an information adaptive presentation method based on AR glasses and related equipment, and relates to the technical field of augmented reality. The technical means of evaluating the fatigue state of the user on the basis of cross-device use data, performing emotion recognition in combination with facial expression data, counting negative emotion feature events, weighting and calculating the content acceptance index on the basis of the negative degree and triggering information to simplify the display switching operation are adopted; therefore, when the screen use intensity of the user exceeds the personal historical average level, the device can actively monitor the emotional state change of the user, and the acceptance degree of the user to the current information content is evaluated by quantifying the occurrence frequency and duration of negative emotions. The complexity and density of information display are simplified when it is detected that the user generates a negative reaction, the problem of visual fatigue caused by the fact that AR glasses depend on a fixed watching duration triggering mechanism in the prior art is effectively solved, and then the technical effect of adjusting an information presentation strategy according to the real-time state of the user is achieved.

The invention discloses a teacher emotion analysis method based on machine learning, and the method comprises the steps: collecting the keyboard tapping rhythm and pause time data of a teacher through a sensor, and obtaining a keyboard behavior sequence through time sequence analysis; extracting rhythm change rate and pause duration features, and obtaining a frequency domain feature vector through Fourier transform; performing preliminary classification on the feature vectors based on a support vector machine model, and identifying a high-pressure sign; combining a neural network model with the multi-dimensional features to obtain a comprehensive emotion vector; the negative emotion dominance degree is determined by calculating the vector similarity, and the work pressure level is evaluated; and finally, a clustering analysis method is adopted to establish an association mode of keyboard behaviors and emotional states, refined pressure indexes are obtained, and an emotional state database is updated. According to the method, keyboard behavior characteristics are converted into quantifiable emotion indexes, objective and accurate recognition of the emotion state of a teacher is achieved, and the real-time performance and accuracy of emotion monitoring are remarkably improved.

FIELD: psychology.SUBSTANCE: used in the psychocorrection of traumatic experiences. A preliminary session with a psychotherapist is held. The client is taught the 4 stages of the method. The client then begins to independently complete the stages for 7–8 minutes a day until the memory of the traumatic episode no longer evokes negative feelings. The first stage of the method “Self-regulation and preparation for working with trauma” consists of 3 sub-stages, in which the following are performed: the exercise “Attention training”, the exercise “3 pleasant experiences a day”, the exercise “The principle of the stone and the wave”, breathing techniques. The second stage of the “Systematic desensitization” method involves actualizing feelings from a traumatic memory, and then “Parasympathetic breathing” is carried out. The third stage, “Neurophysiological modeling,” involves the client imagining the desired outcome in their life by processing the memory of a traumatic experience, then choosing a simple, monotonous movement and performing it for 1–2 minutes. The fourth stage is “Identifying obstacles to achieving the desired result.”EFFECT: method enables the processing of negative traumatic memories and the accompanying relief of nervous tension, increased stress resistance, and a reduction in the impact of the traumatic event on a person's well-being, mood, self-esteem, thoughts, feelings, and behavior.3 cl

This invention relates to a multimodal perception and AI-driven emotion regulation method, comprising: simultaneously collecting multi-dimensional environmental parameters of the user and the user's own multimodal physiological signals; preprocessing the multi-dimensional environmental parameters and the physiological signals respectively, and extracting feature data to generate corresponding environmental feature data and physiological feature data; based on the environmental feature data and physiological feature data, identifying the user's current emotional state and corresponding emotional intensity through a preset multimodal emotion recognition model; when the user is identified to be in a preset negative emotional state, matching a combined intervention scheme corresponding to the current emotional state and intensity according to a preset intervention strategy library, generating and executing a combined intervention instruction; the combined intervention instruction controls at least two different types of actuators to regulate the user through at least two sensory channels.

The application belongs to the field of autism children emotion regulation, and provides a method and system for autism children emotion recognition and regulation based on wearable devices, and the process is as follows: after the physiological data and facial expressions of autism children are input into a mixed multi-layer neural network after data processing, emotion recognition results are obtained; if negative emotions are recognized, the inflatable vest performs inflation action to relieve the bad mood of the children. The application uses multi-modal data to identify the emotions of autistic children, which is conducive to fully mining the real emotional characteristics of the children and improving the emotion recognition accuracy. At the same time, the application uses the sensitivity of physiological signals to emotional fluctuations to realize the functions of emotion warning and early intervention. In addition, the application systematically integrates various wearable devices, which can continuously, intelligently and effectively regulate the emotions of autism children.

The invention provides an interaction method and device and a vehicle. The interaction method can be applied to the field of intelligent cabins. The method comprises the following steps: acquiring a first intention of a user in a vehicle cabin, wherein the first intention is associated with another vehicle and the first intention is associated with a negative emotion of the user; performing emotional processing on the first intention to obtain a second intention; and sending the second intention to the other vehicle. The method can be applied to an electric automobile or an intelligent automobile, the driver can be prevented from generating anger mood and report behavior when interaction occurs between the automobiles, traffic accidents are avoided, and the driving experience of the user can be improved.

A noise reduction method includes: obtaining environment data of a location where the noise reduction device is placed, the environment data including environment sound and facial images of a population within a preset range of the location; analyzing the facial images of the population to determine whether the one or more persons of the population are in a negative mood; determining whether noise is present in the environment sound when the one or more persons of the population are determined in the negative mood; processing the noise to obtain a noise signal and noise orientations when the noise is present in the environment sound; generating a noise reduction signal having an amplitude same as the noise signal and an opposite phase to the noise signal; and playing the noise reduction signal towards the noise orientation. A noise reduction device and an electronic device are also provided.

We provide technology that supports communication that contributes to user growth, while also aiming to maintain and improve user motivation. [Solution] A communication support system that assists communication between multiple users registers behavioral records, which are data related to user actions, in a database in chronological order, determines whether a message a user is about to post is a negative message, which is a message expressing negative emotions, or a non-negative message, which is a message expressing non-negative emotions, modifies the negative message to a positive one, registers the modified positive message (the negative message modified to a positive one) and the non-negative message in the database in chronological order, and presents the behavioral records and messages registered in the database to multiple users in chronological order.

This invention discloses a device for emotional catharsis and regulation in students' mental health, relating to the field of mental health equipment technology. It includes a decompression chamber with a hinged, silent door. A platform is installed inside the chamber via bolts, and vertically distributed columns are mounted on the platform. A catharsis module for emotional catharsis is also mounted on the platform, comprising an exercise mechanism, a liquid level indicator, and a breathing regulation mechanism. The exercise mechanism includes a turntable rotatably connected to the top of the columns, with concentrically distributed main rotating shafts fixedly mounted on the turntable. These main rotating shafts are rotatably connected to the columns via bearings. A secondary rotating shaft, driven by the main rotating shaft, is also provided on the platform. During use, students can release limb tension by rotating and pressing the turntable. The platform and columns provide students with a comfortable and stable catharsis posture, allowing for effective release of negative emotions through movement without the need for physical punishment.