33 results about "Negative mood" patented technology

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.

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 provides a method for judging mood according to the heart rate and the breath. The method at least comprises the following steps of performing heart rate and breath monitoring continuing for a period time on a plurality of experimenters; performing different actions arousing different mood states on the experimenters in the experiment process; recording different mood states of the experimenters in the time period and the heart rate and the breath rate in the mood states; making a data table by using different mood states and the heart rates and the breath rates corresponding to the mood states to obtain a mood evaluation report; judging the mood; performing the heart rate and breath rate monitoring on a judged mood person; and substituting the obtained data into the mood evaluation report to obtain the mood state of a judged person. The method has the advantages that the defect that during the test in the prior art, the mood fluctuation condition exists, but whether the fluctuation is the positive mood or negative mood is difficult to distinguish is overcome; the process is simple; the monitoring is accurate; and the result is visualized.

The embodiment of the present invention discloses an emotion regulation method, device, system and computer storage medium. The method includes: performing emotion recognition on the user according to the user's biometric information; The signal acquires the voice feature information of the user; according to the voice feature information, the intensity level of the negative emotion is determined; and the first emotion regulation strategy matching the negative emotion and the intensity level is obtained to regulate the user's emotion. The technical solution of the embodiment of the present invention avoids the technical defects in the prior art when only using biometric information to identify negative emotions. Accurately provide the corresponding emotion regulation strategy to regulate the user's emotion, optimize the existing emotion regulation technology, and improve the efficiency and accuracy of emotion regulation.

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 present disclosure relates to a training method, equipment, device, equipment and system for emotion regulation. The training method includes: presenting the first negative content by a processor, and the negative content has a negative stimulating effect on the emotions of the trainee; , prompting the trainee to down-regulate his negative emotions on the first negative content; obtaining the first blood oxygen data collected by the near-infrared spectrum detection device on the trainee's brain area related to emotion regulation during the period of down-regulation of the trainee's mood; The processor determines a first neurofeedback parameter based on the first blood oxygen data; the processor determines and presents a first feedback index based on the first neurofeedback parameter. The emotion regulation training method provided by the embodiments of the present disclosure can determine and present the first feedback index pair based on the first blood oxygen data collected from the trainee’s brain area related to emotion regulation during the period of the trainee’s emotional down-regulation. Trainees' emotional regulation ability is trained, which has high reliability and can improve the training effect.

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 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.