450 results about "Mood state" patented technology

A home control system using galvanic skin responses and heart rate information and a method thereof. Whether a user is awake is judged using a galvanic skin response sensor, and the extent of stress of a user is determined using the user's heart rate, thereby extracting a user's emotional state and sleeping state. Furthermore, based on these, various systems in the home network of a user are controlled according to the user's emotional state and sleeping state. In addition, those control results are stored in a database so as to create the optimum control conditions.

Features, including one or more acoustic features, visual features, linguistic features, and physical features may be extracted from signals obtained by one or more sensors with a processor. The acoustic, visual, linguistic, and physical features may be analyzed with one or more machine learning algorithms and an emotional state of a user may be extracted from analysis of the features. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

A system and method are provided for detecting emotional states using statistics. First, a speech signal is received. At least one acoustic parameter is extracted from the speech signal. Then statistics or features from samples of the voice are calculated from extracted speech parameters. The features serve as inputs to a classifier, which can be a computer program, a device or both. The classifier assigns at least one emotional state from a finite number of possible emotional states to the speech signal. The classifier also estimates the confidence of its decision. Features that are calculated may include a maximum value of a fundamental frequency, a standard deviation of the fundamental frequency, a range of the fundamental frequency, a mean of the fundamental frequency, and a variety of other statistics.

The invention provides a method for automatically identifying emotional states of a person in real-time based on physiological responses by exposing a person to a stimulus, measuring the person's physiological response to the stimulus, and comparing the measured physiological response to a known baseline physiological. The deviation of the measured physiological response from the baseline physiological response is determinative of the emotional state.

In addition to conveying primary information, human speech also conveys information concerning the speaker's gender, age, socioeconomic status, accent, language spoken, emotional state, or other personal characteristics, which is referred to as secondary information. Disclosed herein are both the means of automatic discovery and use of such secondary information to direct other aspects of the behavior of a controlled system. One embodiment of the invention comprises an improved method to determine, with high reliability, the gender of an adult speaker. A further embodiment of the invention comprises the use of this information to display a gender-appropriate advertisement to the user of an information retrieval system that uses a cell phone as the input and output device. The invention is not limited to gender and such secondary information can include, for example, any of information concerning the speaker's age, socioeconomic status, accent, language spoken, emotional state, or other personal characteristics.

The present invention provides methods and systems to periodically monitor the emotional state of a subject comprising the steps of: exposing the subject to a plurality of stimuli during a session; acquiring objective data from a plurality of monitoring sensors, wherein at least one sensor measures a physiological parameter; transferring the data to a database; and processing the data to extract objective information about the emotional state of the subject.

Embodiments of the invention provide a method, devices, and system for monitoring and sharing emotion-related data from one or more persons connected via the internet. An emotion monitoring device (EMD) measures physiological signals obtained from biosensors and computes emotion states relating to emotional arousal and valence. Various signal processing methods are employed to reduce artifact and improve the detection of emotional states. The EMD communicates the emotion data to an internet server via a wireless network. The internet server transmits the emotion data to other persons equipped with an EMD. Their emotion data similarly is obtained and shared with others. The networked emotion data can used to enrich online, community experiences such as games and social networks. An implementation of an EMD based on a smart phone enables emotion data to be monitored in wide area, mobile environment. The biosensors can be integrated into the casing or a cover for the mobile phone.

An Intelligent Tutoring System (ITS) system is provided that is able to identify and respond adaptively to the learner's or student's affective states (i.e., emotional states such as confusion. frustration, boredom, and flow/engagement) during a typical learning experience, in addition to adapting to the learner's cognitive states. The system comprises a new signal processing model and algorithm, as well as several non-intrusive sensing devices, and identifies and assesses affective states through dialog assessment techniques, video capture and analysis of the student's face, determination of the body posture of the student, pressure on a pressure sensitive mouse, and pressure on a pressure sensitive keyboard. By synthesizing the output from these measures, the system responds with appropriate conversational and pedagogical dialog that helps the learner regulate negative emotions in order to promote learning and engagement.

Methods and apparatus for modifying a user interface as a function of the detected emotional state of a system user are described. In one embodiment, stress analysis is performed on received speech to generate an emotional state indicator value, e.g., a stress level indicator value. The stress level indicator value is compared to one or more thresholds. If a first threshold is exceeded the user interface is modified, e.g., the presentation rate of speech is slowed. If a second threshold is not exceeded, another modification to the user interface is made, e.g., the speech presentation rate is accelerated. If the stress level indicator value is between first and second thresholds, user interface operation continues unchanged. The user interface modification techniques of the present invention may be used in combination with known knowledge or expertise based user interface adaptation features.

The subject matter discloses a computerized method for real time emotion detection in audio interactions comprising: receiving at a computer server a portion of an audio interaction between a customer and an organization representative, the portion of the audio interaction comprises a speech signal; extracting feature vectors from the speech signal; obtaining a statistical model; producing adapted statistical data by adapting the statistical model according to the speech signal using the feature vectors extracted from the speech signal; obtaining an emotion classification model; and producing an emotion score based on the adapted statistical data and the emotion classification model, said emotion score represents the probability that the speaker that produced the speech signal is in an emotional state.

The present invention provides a method for capturing and storing physiological response attributes measured from a user while different stimuli are presented. Each stimulus may be any multimedia object, for example text, picture, or audio/video. The measured physiological response attributes are paired with the input stimulus, and stored conjointly in one or more databases. The physiological response attributes measure an aspect of the user known as emotional valence, and relate to the emotional state of the user, such as angry or sad. The database of physiological responses attributes of multiple users is first established. Then, when the physiological response attributes of a specific user in the future is examined, the system can suggest which objects in the database best correspond. Moreover, the database can be constructed based on the responses of the individual user for their own utilization, and be updated over the course of its continued use.

A personalized service method using a user history in a mobile terminal is provided. The personalized service method using the user history in the mobile terminal includes: checking at least one of event information and context information which occurred due to a user; checking a user's location, a user's condition, a user's emotional state, or an event occurrence time when the at least one of event information and context information occur; reflecting the user's location, the user's condition, the user's emotional state, or the event occurrence time in the at least one of event information and context information, and recording the at least one of event information and context information, having reflected the user's location, the user's condition, the user's emotional state, or the event occurrence time, in a database in a diary type; and displaying a representing image corresponding to the at least one of event information and context information, having been recorded in the diary type.

An emotion monitoring method for special people includes: acquiring neural physiological information, and acquiring electroencephalogram signal and brain blood oxygen signal; performing signal treatments including signal pretreatment, feature extraction and emotion recognition; determining intervention type, determining recognized emotions, and returning to a start phase to continue monitoring if a user is calm or positive emotionally, or proceeding a next phase if not; performing systematic intervention, namely determining the manner of systematic auxiliary emotion regulation and intervention or remote intervention according to different emotions; and storing data, drawing an emotion periodic table in a certain period, and recording and storing mood fluctuations of a user. By the aid of portable detection of electroencephalogram and brain blood oxygen signals, accurate emotion status is recognized, unhealthy emotions of users and the outside world can be helped and noticed timely, humane placation measures are taken, emotion statuses of the users can be improved, mental state deterioration can be avoided for the users, and nursing burden and physiological pressure of family members of a patient with emotional disorder can also be relieved.

A biometric sensing apparatus for estimating the emotional state of a user. A self-contained biometric sensing ring is worn on the finger (or fingers) of the user during their normal activities. Biometric information is collected and sent wirelessly to the user's mobile device configured with application programming for analyzing and displaying the biometric information. The biometric ring is configured with sensors that the structure of the ring retains at a proper pressure against the finger of the user. The sensors comprise at least electrodermal response (EDR), photoplethysmograph (PPG), temperature, and acceleration. The ring has a self-contained power source, and is configured for adjustably fitting a wide range of users.

A method for selecting music based on face recognition, a music selecting system and an electronic apparatus are provided. The method includes the following steps: accessing a database to retrieve a plurality of song emotion coordinates corresponding to a plurality of songs; mapping the song emotion coordinates to an emotion coordinate graph; capturing a human face image; identifying an emotion state corresponding to the human face image, and transforming the emotion state to a current emotion coordinate; mapping the current emotion coordinate to the emotion coordinate graph; updating a song playlist according to a relative position between the current emotion coordinate and a target emotion coordinate, wherein the song playlist includes a plurality of songs to be played that direct the current emotion coordinate to the target emotion coordinate.

The invention discloses a brain electric features based emotional state recognition method. The method comprises the following steps of: data acquisition stage: under the condition of international emotional picture induction, extracting 64 brain electric data which is tested under the induction of different-happiness-level pictures; data pretreatment stage: carrying out four stages of reference electric potential variation, down sampling, band-pass filtering, electro-oculogram removal on the collected 64 brain electric data; feature extraction stage: extracting time domain features after signals after pretreatment are filtered by a common space model algorithm; and feature recognition: recognizing the features by using a support vector machine classifier, and differentiating different emotional states. According to the method, an OVR (one versus rest) common space model algorithm is used for removing the interference of background signals, and is used for the signal intensification of multiple types of emotion induced brain electricity; after the background signals are removed, the differences among different types of emotional brain electricity are intensified, the recognition accurate ratio of subjects is relatively ideal when the recognition is carried out by the time domain variance features, and the emotions of different happiness can be differentiated accurately.

A method for providing feedback in an interest centric, interactive communications environment includes providing one or more electronic devices configured to communicate over a communications network. The method includes providing one or more servers configured to provide interactive data to the electronic devices over the communications network and to control the interactive data and to coordinate participant activities via the electronic devices over the communications network. The method includes monitoring a condition of at least one of the participants via a capture device on the electronic device and generating a condition signal responsive to the monitored condition and transmitting the condition signal to one of the servers. The method includes analyzing by the server the condition signal to determine an emotional state of the participant and providing feedback to the participant based upon the determined emotional state.

Various embodiments of a system and method for adapting software elements based on mood state profiling are described. The system and method for adapting software elements may include a mood state component configured to, among other things, create a mood state profile of a user. The mood state profile may indicate characteristics of a user's mood state. The system and method for adapting software elements based on mood state profiling may also include a method of application development. The method of application development may include creating an application profile that indicates the mood-altering characteristics of the application. The application profile may be used to, among other things, determine modifications to the application during the application development phase. The mood state component may also enable applications to adapt to a user's mood state while the application is in use (e.g., at runtime).

A computerized method, software, and system for recognizing emotions from a speech signal, wherein statistical and MFCC features are extracted from the speech signal, the MFCC features are sorted to provide a basis for comparison between the speech signal and reference samples, the statistical and MFCC features are compared between the speech signal and reference samples, a scoring system is used to compare relative correlation to different emotions, a probable emotional state is assigned to the speech signal based on the scoring system, and the probable emotional state is communicated to a user.

Systems and methods for inducing a change in a human physiological characteristic. The physiological characteristic may correspond to an emotional state of a dialogue participant. The dialogue participant may be an individual participating in a conversation. The outcome of the conversation may be related to a business objective, such as providing high quality call center services. A sensor may monitor the physiologic characteristic. A processor may relate the physiologic characteristic to an emotional state. The processor may provide feedback to the individual based on the emotional state. The feedback may be formulated to change the individual's emotional state.

A method of recommending songs to a listener. The method obtains a set of feature values for each of a plurality of songs. Whenever a playback event is generated for a song, a first reward and a Mood State Value (“MSV”) based on a set of parameters are determined. Each feature value associated with the song is associated with the MSV and for each feature value, a second reward is calculated based on the first reward and is assigned to the feature value. A current MSV is determined and any songs having a feature value identical to a feature value associated with the current MSV are identified. For each song identified, a cumulative reward is calculated by totaling the second reward assigned to any feature values associated with the current MSV that are also associated with the song. Finally, one or more songs are recommended based on their cumulative rewards.

The invention relates to a method and device for improving a dialogue communication effect based on speech analysis. The method comprises the following steps: determining the relationship of a user and a call object; on the basis of the call speech information of the user and the call object, obtaining the speech emotion and the speech words of the user; comparing the speech emotion with a call object and sensitive emotion library relationship list established in advance so as to determine whether the user is in a inappropriate emotion state or not; comparing the speech emotion with the call object and sensitive emotion library relationship list established in advance so as to determine whether the user uses inappropriate sensitive words or not. The method finds the problem in the user dialogue process through the emotion analysis and semantic analysis for speech in speech communication and the relationship analysis of the user and the call object, so as to help the user to find the problem in time to improve the communication mode and play a role of improving the communication effect among families and friends.