A method of treatment for intellectual and developmental disabilities is disclosed herein, wherein the method includes the steps of diagnosing an intellectual or developmental disability in an individual, matching symptoms or characteristics associated with the individual's intellectual or developmental disability, researching what personality traits, interpersonal skills, or life skills are affected by the symptoms or characteristics, providing the individual with a list of topics related to the personality traits, interpersonal skills, or life skills are affected by the symptoms or characteristics, selecting a topic related to the personality traits, interpersonal skills, or life skills are affected by the symptoms or characteristics, assisting the individual in preparing a presentation on the selected topic, preparing the presentation, wherein the presentation is between ten minutes and ninety minutes in length, recording the presentation, and broadcasting the presentation.

A virtual reality and augmented reality system configured for meditation applications including a headset comprising an adjustable strap and a display. The headset further includes heating and cooling elements to provide an immersive virtual reality environment to a wearer. The virtual reality system is operable to determine the physiological condition of the wearer and adjust the virtual reality environment based on the physiological condition of the wearer.

Systems and methods for detecting complex networks in MRI image data in accordance with embodiments of the invention are illustrated. One embodiment includes an image processing system, including a processor, a display device connected to the processor, an image capture device connected to the processor, and a memory connected to the processor, the memory containing an image processing application, wherein the image processing application directs the processor to obtain a time-series sequence of image data from the image capture device, identify complex networks within the time-series sequence of image data, and provide the identified complex networks using the display device.

In order to determine a degree of dementia of a user, contents are output through a user terminal, a voice of the user for a content acquired by a microphone of the user terminal is received, a spectrogram image is generated by visualizing the voice, and the degree of dementia of the user is determined by means of a convolutional neural network (CNN) and a deep neural network (DNN) based on the spectrogram image.

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an Analytics Engine that receives one more signal files that include neural signal data of a user based on voltages detected by one or more electrodes on a set of headphones worn by a user. The Analytics Engine preprocesses the data, extracts features from the received data, and feeds the extracted features into one or more machine learning models to generate determined output that corresponds to at least one of a current mental state of the user and a type of facial gesture performed by the user. The Analytics Engine sends the determined output to a computing device to perform an action based on the determined output.

Example systems, methods, and apparatus are provided for using data collected from the responses of an individual with the computerized tasks of a cognitive platform to derive performance metrics as an indicator of cognitive abilities, and applying predictive models to generate an indication of neurodegenerative condition. The example systems, methods, and apparatus also can be configured to adapt the computerized tasks to enhance the individual's cognitive abilities, and for using data collected from the responses of an individual with the adapted computerized tasks to derive performance metrics and applying predictive models to generate the indication of neurodegenerative condition.

Methods and systems useful for detecting neurological disorders and for measuring general cognitive performance, in particular by measuring eye movements and/or pupil diameter during eye-movement tasks.

There are described headphones comprising earcups to be placed about ears of a user, with a headband linking the earcups and to be extending above a head of the user. A flexible band distinct from the headband is secured below the headband for contact with the head of the user. Removable headband sensors are embedded in the flexible band and have a portion thereof protruding downwardly from the flexible band to reach the scalp. The flexible band has a flexibility which makes the flexible band deform under the weight of the earcups to conform with the head of the user to ensure high quality contact between the headband electrodes and the scalp. There are further provided earcup electrodes on the earcups for contact with a region on or behind an ear of the user. Signals from the electrodes can be used for different purposes such as concentration monitoring and feedback.

Systems and methods for improved cognition via mental exercises are provided. In some embodiments, contextual information regarding the user and her environment are collected. Subsequently, the user is presented with a cognitive task, wherein the cognitive task includes a stimuli and the task specifies a desired response to the stimuli. Feedback is then collected from the user. Additionally the exercise results are assessed. The feedback, results and context information are then all aggregated in order to generate guidance for the user of the system. Guidance may be determined by a rule based system, via AI modeling, or by some combination of the two.

A cognitive assessment system includes a computing device, a server coupled to the computing device and an eye tracking device coupled to the computing device. The computing device includes a cognitive assessment program with at least one cognitive assessment task for assessing at least one cognitive function of a user. The server includes a database. The database stores a historical task performance data of the user, a historical task performance model of the user, task performance data of a healthy population, and task performance data of a patient population. The eye tracking device is for capturing the eye movement data of the user.