33 results about "Negative mood" patented technology

The invention provides a negative expression identifying and encouraging system which belongs to the technical field of image processing and artificial intelligence. The technical schemes of the invention are as follows. A computer camera captures and analyzes a user's expressions to help remove negative emotions. A system firstly pre-acquires the basic expression samples of the user and uses them as a characteristic template. A video is initiated in a fixed time to collect the facial images of the user in the fixed time. Then, the facial images experience pre-treatment, identification and analysis. The facial images that are acquired in real time are matched with the expression characteristic template for the changes in key characteristic parts in terms of European distance difference, geometrical shape, curvature and angle. The similarity is compared to determine whether the user's expressions are angry, anxious, tired or happy ones. A statistic shape and other statistical methods are used to analyze and determine whether the user's mood in a certain period is negative or not and the system reminds the friends of the user of the negative mood of the user; and after the reminding when the user's expressions become good again, rewards and encouragement are given accordingly. With the system, the working mood of an employee can be improved; the working efficiency is raised; and the economic gains of an enterprise go up as well.

The invention relates to the technical field of artificial intelligence, and provides a student psychological state analysis method and device based on audio and video, a terminal and a medium, and the method comprises the steps: carrying out the transfer learning and training of a student emotion expression recognition model based on an open source emotion expression data set and a private emotion expression data set; carrying out distortion correction and grid mapping on the student panoramic video to obtain a student target video of each student; recognizing the student target video througha student emotional expression recognition model to obtain an activation degree and a pleasure degree; calculating a student target video to obtain activeness; calculating negative emotion accordingto the audios of the students; and analyzing the psychological state of the student according to the activation degree, the pleasure degree, the activity degree and the negative emotion. The method can be applied to wisdom education, the psychological states of students can be comprehensively analyzed in multiple modes, and the accuracy is high. In addition, the invention also relates to the technical field of the block chain, and the psychological state can be stored in the block chain.

The present invention provides a method for judging emotions based on heart rate and respiration. The method at least includes: monitoring the heart rate and respiration of several experimenters for a period of time; Action; record the different emotional states of the experimenter in the time period and the heart rate and breathing rate under the emotional state; make the different emotional states and the heart rate and breathing rate corresponding to the emotional state into a data table to obtain an emotional evaluation report ; Determining the emotion; adopting the monitoring of the heart rate and breathing rate to the judged emotional person; substituting the obtained data into the emotional evaluation report to obtain the emotional state of the judged person. This method overcomes the problem of measuring the fluctuation of emotions in the past, but it is difficult to distinguish whether the fluctuation is positive emotion or negative emotion. The process is simple, the monitoring is accurate, and the result is intuitive.

The invention relates to the technical field of underwear and particularly relates to intelligent underwear. The intelligent underwear comprises an underwear body, wherein the underwear body comprises a left cup, a right cup, a connecting belt, shoulder belts and breast surrounding belts; the inner sides of the left cup and the right cup are respectively provided with a vibratory motor; the underwear body is provided with a pulse sensor and a bluetooth module connected with the pulse sensor; and the bluetooth module is used for sending signals acquired by the pulse sensor to an external analysis display device. The intelligent underwear has the advantages that since the inner sides of the left cup and the right cup are respectively provided with the vibratory motor and vibratory massage is carried out on the breasts by the vibratory motors after a vibratory switch is started, so that the effects of enhanced breasts, compact breasts and raised breasts pursued by beauty-loving females are realized; in addition, the pulse sensor is arranged in the underwear body, and the signals acquired by the pulse sensor are sent to the external analysis display device for analyzing of the current mood fluctuation of a user, so that the user is reminded and guided to avoid overeating due to negative mood and further the purpose of controlling the body weight is achieved.

The invention relates to the field of medicines, and particularly relates to a composition capable of regulating mood. The composition is prepared from lactobacillus helveticus R52, bifidobacterium longum R175, fructooligosaccharide, galacto oligosaccharide and xylo-oligosaccharide. The composition capable of regulating the mood provided by the invention has the characteristics of mildness and noside effects, and moreover, negative mood such as anxiety, depression, irritability and restlessness can be regulated, and symptoms of patients suffering from depression and anxiety can be effectivelyimproved.

A method and apparatus are described for providing a way for a user to alleviate fear, anger, or other negative thoughts or feelings that the user has toward a specific other person, who is personally known to the user and with whom the user has previously has adverse personal interactions, or to focus such anger or negative thoughts or feelings on the second person who is an object of the user's negative feelings. This is accomplished by having the user select and display an image of the other person, so that the image is visible to the user, and also select and display an image of an object that is potentially harmful to the other person. Then the user causes the images to touch, become superimposed on, or located near one another. For example, an image of a knife is moved so that it appears that the knife stabs the image of the other person. It is then determined whether the fear, anger, or other negative thoughts or feelings of the user have been reduced. If not, the process is repeated. As a result, the foregoing procedure transforms a state of mind of the user in a manner such that an at least partial catharsis or discharge of cathexis occurs, but without the user believing consciously that the user's simulated actions actually harm the other person in the manner acted out. A preferred embodiment utilizes computer means to carry out this procedure, such as a PC or handheld portable programmed device.

The invention relates to an intelligent identification scheduling system which comprises a radio frequency identification label, a server, wireless handheld devices and a plurality of readers, wherein the radio frequency identification label is provided with a fast responding code and a registration code, the server also stores an amusement facilitate scheduling table and a corresponding table, the wireless handheld devices establish corresponding relations of the wireless handheld devices and the radio frequency identification label according to the registration code and the server, and each reader is used for reading a fast responding code, decoding the fast responding code to obtain an unique identification code, and outputting a facilitate code, wherein the server inquires the amusement facilitate scheduling table and calculates a wait time, updates the amusement facilitate scheduling table, finds out a corresponded wireless handheld device from the corresponding table, and sends notification information with the wait time to the wireless handheld device. The intelligent identification scheduling system can provide the wait time for the amusement facilitate to avoid negative mood of users caused by waiting.

The invention discloses an input method capable of visually reflecting emotion. The input method comprises the steps that: a user inputs chat content or receives the information of a chat object; theemotion of the user or the chat object is identified, and chat content characters are marked with different colors; the state of the chat object is judged, and the words and grammars of the user are adjusted; emotion judgment is carried out on the chat content, and suggestions are given; proper chat content is outputted; when the user inputs the chat content, the input method receives indication information input by the user; the input method identifies whether the indication information is received or not; and if the indication information is not received, a prefabricated extension word bankis not started. According to the method of the invention, functions of word adjustment, mood discrimination and the like can be added; customers can conveniently deduce chat emotions such as discomfort, solitary, disgusting, vitality, happiness, happiness, light sight and the like of chat objects and themselves, and give proper reply recommendations according to the emotions of the opposite side so as to smooth negative emotions, reduce language conflicts, encourage progress and the like.

Methods and systems for engaging isolated individuals. In an example implementation, a variety of historical information about a client is received, indicating that certain prior events have occurred in the life of the client. The historical information is stored in electronic storage, and one or more patterns are detected, using a specially programmed computer system, that relate the prior events occurring to the client to presumed indicators of the client's mood. A description of the one or more detected patterns is recorded in the electronic storage. In some implementations, it may be automatically recognized, based on the one or more detected patterns that one or more additional events presumed to indicate the possible onset of a negative mood on the part of the client have occurred, and one or more measures presumed to mitigate the negative mood on the part of the client may be applied.

The invention provides an old-people healthcare hat based on brain wave. The old-people healthcare hat comprises a hat body, a hat brim and a brain wave detection system, and the brain wave detectionsystem comprises a temperature sensing switch, a power source, a brain wave detection module, an information processing module and a user terminal. The temperature sensing switch monitors whether an old person wears the hat or not in real time by detecting temperature and automatically turns on the power source when a manual switch is forgotten to turn on if yes, the brain wave detection module isused for detecting brain wave of the old person and transmitting the same to the information processing module, the information processing module analyzes a received brain wave signal and transmits to the user terminal when the circumstance that the old person has brain wave of negative mood is analyzed out, and the user terminal records whether the oil person wears the hat in real time, reminding the old person of wearing the hat when the old person does not wear the hat, reminding the old person of seeing a psychologist and reminding guardians to supervise the old person to wear the hat andto see a doctor timely.

A platform and system to help clients get mental health care services provided by their businesses and clinics 24 hours from anywhere and help clients get assessment and treatment systems addressing the root causes and triggers of negative emotional states or conditions

The invention relates to the field of medicines, and particularly relates to a composition capable of regulating mood. The composition is prepared from lactobacillus helveticus R52, bifidobacterium longum R175, fructooligosaccharide, galacto oligosaccharide and xylo-oligosaccharide. The composition capable of regulating the mood provided by the invention has the characteristics of mildness and noside effects, and moreover, negative mood such as anxiety, depression, irritability and restlessness can be regulated, and symptoms of patients suffering from depression and anxiety can be effectivelyimproved.

The invention provides a student campus safety supervision method of an intelligent school badge. The student campus safety supervision method comprises the steps that the intelligent school badge positions and monitors the position of the intelligent school badge in real time, and an intelligent school badge motion trajectory is generated according to the positioned and monitored position of theintelligent school badge; after it is determined that a wearer enters a set campus from the exterior of the campus according to the intelligent school badge motion trajectory, a wearing device building a binding relationship with the intelligent school badge is controlled to monitor sign parameters of the wearer in real time until it is determined that the wearers goes to the exterior of the campus; whether mood abnormal situations exist or not is judged according to the monitored sign parameters of the wearer; if the mood abnormal situations exist, abnormal mood reporting information is generated, and the abnormal mood reporting information is uploaded to a parent side terminal. The invention further discloses the intelligent school badge and a storage medium. According to the intelligentschool badge and the method, parents conveniently know about the reason of abnormal mood of the wearer subsequently, then the wearer is dredged in a targeted mode, the wearer can be effectively prevented from being in the negative mood for a long time, and the physical and mental health of the wearer is ensured.

The invention relates to the technical field of hearing aids, in particular to a hearing aid system for caring old people, which integrates the functions of basic hearing aid, regular care reminding, real-time analysis and the like, and can improve the session communication ability between the old people and other people under the condition of not increasing the physical and mental burden of the old people. Negative emotions such as loneliness and self-abstraction caused by hearing impairment of the elderly are avoided, and great convenience is provided for the hearing-impaired elderly; on the other hand, voice care prompting can be carried out by recording the sound of relatives of the elderly, and the use experience of the elderly is further improved; more importantly, the hearing aid system also has the function of paying attention to and analyzing the voice and mood dynamics of the old in real time, and can perform corresponding analysis, so that family members of the old can be conveniently helped to accurately master the physical and psychological states of the old in real time, and the physical and psychological health of the old can be regularly evaluated according to an analysis report; and physical and psychological diseases of the old are further prevented.

The invention discloses an online forum user depression detection method based on a gated convolutional network, detection is realized by using a model for performing depression detection on an online forum user based on a gated convolutional network, the detection of the model is realized through post-level operation and user-level operation, and post-level characterization is obtained through the post-level operation; through user-level operation, user state representation is obtained, and then probability distribution on a softmax layer output label is utilized to realize detection. The method of the invention can effectively identify languages related to negative emotions in user posts by using gating weights, thereby implementing depression detection.

The invention discloses a negative emotion relieving method and system for a driver. The method comprises the steps: obtaining the facial feature information of a driver during driving, and performingemotion recognition; when the driver is in negative emotion, obtaining physiological characteristic parameters of the driver, and judging whether the physical condition of the driver is abnormal or not; when the physical condition of the driver is judged to be normal, obtaining current driving information; and judging the negative emotion type of the driver according to the current driving information, and executing a corresponding emotion relieving strategy. After the negative emotion of the driver is recognized, the physical health condition of the driver is further judged, the negative emotion caused by sudden diseases of the body is eliminated, the negative emotion recognition accuracy is improved, the type of the negative emotion of the driver is further determined according to the user driving information on the basis, and the user experience is improved. The corresponding emotion relieving strategy is selected to relieve the negative emotion of the driver, so that the emotion relieving strategy better meets the actual demand of the user and is more effective.

In the process that the masses reflect the requirements of the masses to the local government, the masses possibly have the mood excitation phenomenon due to the fact that workers cannot fully accept the problems of the masses, the national official officers are injured, and social contradictions are generated. At present, there are few methods for providing intelligent safety early warning for workers. The invention provides an intelligent safety early warning method based on a deep neural network. According to the method, the masses are monitored based on voices and videos, detection is carried out through voice keywords and videos, results of the two parts are comprehensively judged based on a fusion algorithm, and the final danger level is given. According to the invention, external security personnel can timely find whether the masses have negative emotions and give dangerous behavior levels, so that physical protection measures can be timely taken, personnel injury is avoided, visiting efficiency is improved, and social stability is maintained.

Disclosed is a psychological counseling and stress reduction system. The system comprises a functional room and an office. The office is provided with a video and audio playing device. A speaker of the playing device is internally installed on a ceiling in an embedding mode. A detection module arranged in the functional room is connected with an office computer. By detecting related value of visitors during screaming, system work is triggered. A computer controlling a detection system is installed in the office. Audio and video content and leading questions of emotion themes in various kinds are equipped in the computer. When the system detects that screaming value of the visitors reach the pre-set strength or effective length, videos and audios, leading questions and other content which are used for smoothing current emotion themes of the visitors and pre-set by psychological consultants are activated. The visitors can release negative emotions and pressure that have built up inward in such a manner that they scream at certain intensity for some time. By targeted videos, audios, leading questions and the like, deeply-psychological counseling and stress reduction can be carried out on visitors in combination with a fan and other devices. The system is used for creating and storing information on personal files which consultants can follow up.

The present invention provides a method for obtaining a classifier for identifying emotions, including obtaining a first sample set and a second sample set; each element in the first sample set and the second sample set includes four contents, respectively is the first eigenvalue based on heart rate variability, the second eigenvalue based on the skin conductance signal, the third eigenvalue based on the skin conductance signal, and the emotion classification result; obtain the training process control parameters and initialize the loop control parameters and classifier; execute Cycle the training process to train sub-classifiers that meet the preset requirements; cascade the sub-classifiers with the current classifier to update the current classifier; update the misjudgment rate and detection rate of the current classifier; judge the current Whether the misjudgment rate of the classifier is greater than the maximum misjudgment rate; if not, output the current classifier. The invention pays attention to misjudged samples and samples expressing negative emotions, so that the classifier can absorb mistakes and improve the sensitivity of identifying negative emotions.

The invention relates to the field of medicines and discloses a decompression device. The decompression device disclosed by the invention is of a mask shape; a liquid crystal screen 1 is arranged at a human eye; and a silencing part 3 is arranged at the mouth part, wherein the liquid crystal screen 1 is used for providing video frame and the silencing part 3 is used for eliminating sound emitted by a human body. After a user wears the decompression device, the natural environment can be simulated by using the video frame provided by the liquid crystal screen and the emitted shouting sound can be eliminated by the silencing part, so that the user can give full vent without considering the influence on other persons, and further negative mood is effectively eliminated and physical and mental health is facilitated. In addition, the decompression device is simple in structure and is convenient to use. Furthermore, the decompression device also comprises earphones 2 for providing audio frequency so as to simulate the natural environment with better effect and more real feeling.

The present application relates to the technical field of psychological testing, in particular to an intelligent negative emotion evaluation method and system. The method obtains the user's emotional representation data in real time; extracts emotional feature data carrying negative emotional tendencies in the emotional representation data based on a pre-trained emotional feature extraction model; inputs the emotional feature data into the constructed emotional evaluation model, and outputs The negative emotion evaluation result corresponding to the emotion feature data. The present application obtains the user's emotional representation data in real time, and then processes the pre-trained emotional feature extraction model and the constructed emotional evaluation model to screen out the emotional feature data in the emotional representation data and quantify the negative emotion evaluation results. Compared with the existing human judgment, the effect and accuracy of negative emotion evaluation are improved.

The invention provides an acquisition method and device based on emotional state change information of emotion indexes. The method comprises the steps that a semanteme comprehensive characteristic value of multiple text messages input by a user is acquired, the multiple text messages are classified into multiple dialogue sections according to the semanteme comprehensive characteristic value, and the emotion index of every dialogue section is calculated. Through calculation of the emotion indexes, the emotional state changes during interaction between a user and a robot are grasped, and meanwhile the state of negative emotion increasing of the user for an artificial intelligence dialogue system can be found earlier to serve as reference of response mode conversion of the artificial intelligence dialogue system. Response strategy is adjusted by grasping the emotional state changes and coming to conclusions, and the method makes it possible to get closer to users and have an understanding of them.

The invention discloses a negative emotion cause identification method, device and computer-readable storage medium. The method includes the steps of: after acquiring the sentence to be identified, generating a sentence pattern corresponding to the sentence to be identified; combining the sentence pattern with the Match the pre-stored negative emotion pattern to obtain a matching result; if it is determined according to the matching result that the sentence pattern has the same structure as the negative emotion pattern, and there is at least one element in the sentence pattern that is identical to the element of the negative emotion pattern If they are the same, it is determined that the cause corresponding to the negative emotion pattern is the cause of the negative emotion corresponding to the sentence to be recognized. The invention realizes the real-time identification of the user's negative emotion and the reason for generating the negative emotion. And compared with the existing machine learning algorithm based on analyzing the user's emotion, the accuracy of identifying the reason for the user's negative emotion is improved.

The invention discloses a box device which comprises a box body. The box device is characterized in that a video player is arranged on one side of the box body, a tissue box capable of containing tissues is arranged on one side of the box body, a storage cavity capable of storing big items is formed in the box body, the box body is internally provided with venting tools, and a folding elastic basecapable of being folded up is arranged on the lower side of the box body. The box device is simple in structure and convenient to use, people can break up remotely without meeting face to face, whenpeople have mood swings, negative moods can be vented, and then various negative energy mental illnesses caused by lovelorn is lowered; the box device is suitable for the overwhelming emotional life of teenagers nowadays.

The invention discloses a verbal skill determination method and device and a storage medium. The method comprises the steps of determining a first emotion category generated by an interaction object for an interaction intention, wherein the first emotion category is divided into a positive emotion category and a negative emotion category; under the condition that the first emotion category belongs to the negative emotion category, determining a target verbal skill used for replying the interaction object from a verbal skill set corresponding to the first emotion category, wherein each verbal skill in the verbal skill set corresponds to a revenue value calculated by a machine learning algorithm; and replying the interaction object by using the first audio corresponding to the target verbal skill.