Systems, devices, and methods are described for assessing the risk of developmental, cognitive, social, or mental abilities or disabilities in very young patients (e.g., in the first 2-6 months of life). Generally, the decline in visual fixation of a subject over time with respect to certain dynamic stimuli provides a marker of possible abilities or disabilities (such as ASD). The visual fixation of the subject is identified, monitored, and tracked over time through repeated eye tracking sessions, and data relating to the visual fixation is then analyzed to determine a possible increased risk certain conditions in the subject. A change in visual fixation as compared to similar visual fixation data of typically-developing subjects or to a subject's own, prior visual fixation data provides an indication of a developmental, cognitive, or mental ability or disability.

The present invention discloses a method for implementing emotion navigation by using an intelligent human centric lighting system. The emotion navigation method includes the following steps. Step 1 is to confirm an initial emotion of a user. Step 2 is to set a target emotion. Step 3 is to select a relay emotion to set an emotion navigation path. Step 4 is to edit a multispectral recipe corresponding to the relay emotion and the target emotion according to the multispectral recipe. Step 5 is to perform a lighting program of the multispectral recipe of the relay emotion and the target emotion. If the determination is not reaching the target emotion of Step 6, then go to obtain the user's personal physiological data to find out the multispectral recipe of the corresponding emotion that can adjust to the target emotion.

An olfactory testing platform for testing for olfactory performance and for prompting olfactory training. The kit contains a plurality of inhaler sticks, each of which includes a first indicia that is computer readable, and a second indicia that is human readable. Each inhaler stick provides a scent that is different than every other inhaler stick in smell or concentration. A computer application running on a smart device having a camera is used to identify each inhaler stick in the kit using the first indicia and to prompt a user to select a detected scent from a plurality of options in response to presentation of the first indicia to the camera of the smart device. The smart devise also captures cognitive functions and integrates performance of various cognitive domains with olfactory performance.

Multi-state engagement with continuous glucose monitoring (CGM) systems is described. Given the number of people that wear CGM systems and because CGM systems produce measurements continuously, a platform that provides a CGM system may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process. In implementations, a CGM platform includes a data analytics platform that obtains packages of glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform generates state information for the user by processing these CGM packages and the additional data, at least in part, by using one or more models. Based on this state information, the data analytics platform controls communication with the user, which may include generating intervention strategies to prevent users from transitioning to a negative state such as discontinuing use of the CGM system.

A system and method to capture and interact with a comprehensive digital record of an individual's biographical history and produce a synthetic model of their personality. The captured biographical history is a detailed record of this individual's actions, interactions, and experiences over a period which may span decades of their lifetime. The biographical history is indexed by areas of data variability and neural network confidence variability to identify points of likely human interest. A synthetic personality model is generated as a representation of the individual's personality structure, biases, sentiments, and traits. The synthetic personality can be interacted with through a digital interface and demonstrates the interaction patterns, triggers, and habits of the original individual. The functioning and the performance of the system over an individual's lifespan are optimized through data synthesis and disposition.

This invention relates generally to the field of electronic communications and the transmittance of such communications. More specifically, the invention discloses a new and useful method for delivering a therapeutic through an eco-system of digital content based on a user-mapped EMS. The method comprises: receiving a text input comprising message content from an electronic computing device associated with a user; parsing the message content comprised in the text input for emotionally-charged language; assigning a sentiment value, based on the emotionally-charged language, from a dynamic sentiment value spectrum to the text input; and, based on the sentiment value, imposing a sentiment vector, corresponding to the assigned sentiment value, to the text input, the imposed sentiment vector rendering a sensory effect on the message content designed to convey a corresponding sentiment.

Dialog based testing is performed in conjunction with a three-dimensional (3D) virtual reality (VR) system including at least one loudspeaker, a microphone, and a 3D VR headset having a display for displaying 3D VR video and a gaze tracker integrated with the headset. The dialog based testing includes: rendering a 3D avatar via the display of the 3D VR headset; engaging in a dialog including causing the rendered 3D avatar to make utterances in accordance with the branching dialog script and receiving responses to the utterances from a test subject wearing the 3D VR headset including at least verbal responses received via the microphone and gaze activity recorded by the gaze tracker and traversing the branching dialog script including selecting branches of the branching dialog script based at least on the verbal responses received via the microphone; and grading the test subject based on the responses.

Systems, methods, and devices of a health device network may include: a non-invasive glucometer that non-invasively measures analyte levels; an invasive glucometer communicatively coupled directly to the non-invasive glucometer; a cloud-based server communicatively coupled to the non-invasive glucometer or the invasive glucometer; a user device communicatively coupled to the cloud-based server; and/or a user interface that displays the invasive glucose measurement, the non-invasive glucose measurement, a data batch, and/or processed data to the user. The non-invasive glucometer and/or the invasive glucometer may aggregate an invasive glucose measurement and a non-invasive glucose measurement into the data batch. A data analytics application on the cloud-based server may be configured to: integrate the invasive glucose measurement and the non-invasive glucose measurement; identify a correlation between the invasive glucose measurement and the non-invasive glucose measurement; and/or generate a predictive model based on the invasive glucose measurement and the non-invasive glucose measurement.

Examples described herein relate to determining an actual, updated goal of a user based on emotional response data captured while an initial goal is visualized or otherwise perceived by the user, including determining an initial goal of a user, displaying an initial video depicting the initial goal, tracking, with an emotion-tracking device, emotions of the user while the video is displayed by the output circuit by determining emotional response data captured by the emotion-tracking device, updating the initial goal based on the emotional response data to determine an updated goal, and displaying the updated goal.

A system and apparatus for collecting electroencephalography (EEG) data from infants and young children is disclosed.