A metaverse multimedia system based on user brainwaves causes that emotional messages, voice messages and color messages could be captured from the brainwaves of the users. The emotional messages are integrated to the role of the user in the metaverse space. Hence, the role in the metaverse can respond the emotions of the user, while the voice messages and color messages are integrated into the sceneries in the metaverse, which is selected by the user. As a result, the metaverse space completely presents user's states of mind which are captured from the brainwaves of the users. Furthermore the whole sceneries and presentations of the roles in the metaverse space are adjustable with the changes of the users. It can also express user's personalities. Interaction modes between the users and visitors entering into the metaverse space of the user could be analyzed based on the method disclosed in the present invention.

Embodiments of the present disclosure provide systems and methods for training a machine-learning model for predicting emotions from received media data. Methods according to the present disclosure include displaying a user interface. The user interface includes a predefined media content, a plurality of predefined emotion tags, and a user interface control for controlling a recording of the user imitating the predefined media content. Methods can further include receiving, from a user, a selection of one or more emotion tags from the plurality of predefined emotion tags, receiving the recording of the user imitating the predefined media content, storing the recording in association with the selected one or more emotion tags, and training, based on the recording, the machine-learning model configured to receive input media data and predict an emotion based on the input media data.

A system detects a user's mood and in response establishes computer settings including computer game settings, recommends social network interactions, advises other users, alters task scheduling, and in general enhances collective group mood, collective productivity, social interaction, and engagement.

A method of determining a likelihood that a debt payment will be made or received, the method comprising sending a message to a debtor mobile computing device comprising a link to a debtor portal; displaying on the debtor mobile computing device an indication of the debt owing; displaying on the debtor mobile computing device a proposed payment plan for settlement of the debt; and receiving an indication that the debtor accepts the proposed payment plan is disclosed. The method may use Next Best Action (NBA) modelling. The message sent may be a SMS message and it may include an indication of the debt owing. The method may further comprise offering a discount to the debtor if the discounted amount is paid that day. The offer of a discount may initiate an automated negotiation process with the debtor.

Face mask communication system 100 includes face mask 10 worn by user 14 and signal receiving hand glove 16 worn by user 18. Glove 16 includes data receiver 66 for data communication with mask 10 and includes multiple vibrotactile devices for generating haptic signals. Mask 10 includes an elastic element of flexible material, and a plurality of EMG sensors 12 fixed to the element, for sensing electrical activity of face regions of the user's 14 face. Mask 10 includes a processor 60; decoding algorithm 110 and transmitter 62 for, respectively, processing signals from the sensors 12; generating command instructions based on the signals; and wirelessly transmitting the signals to receiver 66 of glove 16. Mask 10 includes thread elements connected to the elastic element of mask 10 enabling tensioning of the element to provide for fitment of mask 10 to users of different sizes, for optimal location sensors 12.

An imaging system, comprising a shooting operation interface that operates to form an image of a subject, and a processor that has a bio-information acquisition section and a stress determination section, wherein the bio-information acquisition section acquires bio-information of an operator when, during shooting awaiting action where an instant for acquiring still images is awaited, the shooting operation interface is operated, and the stress determination section determines stress conditions that shooting actions place on the operator based on the bio-information that has been acquired using the bio-information acquisition section.

Aspects of the present disclosure provide a smart relaxation mask configured to output a stimulus and collect biometric information while the stimulus is output to determine if the subject is paying attention to the stimulus. If the subject is not focused on the stimulus, the mask adjusts at least one of an audio, visual, or haptic output. The stimulus is adjusted in an effort to shift the subject's attention to the stimulus and away from racing thoughts.

A method by a network device for dynamically detecting emotional states of a user operating a client end station to interact with an application. The method includes receiving information regarding user inputs received by the client end station from the user while the user interacted with the application during a particular time period and determining an emotional state of the user based on analyzing the information and information regarding user inputs received by the client end station from the user while the user interacted with the application during one or more previous time periods that together with the particular time period form a time window.

Various embodiments described herein relate to a method and related wearable device and non-transitory machine-readable medium including receiving sensor data from at least one sensor of the wearable device; comparing the sensor data to schedule format stored in a memory of the wearable device, wherein the schedule format specifies at least one characteristic of sensor readings previously associated with a predefined context; determining that the received sensor data matches the schedule format; determining, based on the received sensor data matching the schedule format, that the user is currently in the predefined context; identifying an action associated with the predefined context; and executing the action while the user is in the predefined con text.

An electronic device that includes an electronic calendar containing scheduled events, the device further including a) software that matches an event with an optimal brain state, and b) means for convening to the user of the device such optimal brain state when the calendar indicates that the event is imminent or has arrived.