Methods and apparatus to identify a mood of media are disclosed. An example method includes accessing a known audio known to evoke a first emotion. A first synthesized sample is synthesized based on the known audio sample. A first value of a first feature of the first synthesized sample is calculated. A mood model is created based on the first feature. The mood model is to establish a relationship between the first feature and the first emotion. A second value of the first feature of first media evoking an unknown emotion is identified. The unknown emotion is identified as the first emotion when the mood model indicates that the second value corresponds to the first value.

A real-time route determination system includes one or more communication devices in signal communication with a route server system. Each communication device is configured to receive one or both of vehicle data and user data to determine a stress-level based on one or both of the vehicle data and the user data. The route server system is configured to determine at least one navigation route in real-time based in part on the stress-level, and to output a route signal indicative of the at least one navigation route. The communication device displays a graphical map including a graphical route displaying the at least one navigation route.

The present invention relates to systems, devices and methods for acquiring, measuring, monitoring, processing and analyzing physiological signals. More particularly, the present invention relates to using physiological signals to determine a subject's response to various conditions, variables or constraints. Still more particularly, the present invention relates to monitoring the subject's external body motion and/or environmental factors and determining the amount of pain a subject is suffering as a result of the motion and factors. Still more particularly, the present invention relates to a system, device and methods of quantifying a subject's pain to provide an objective measurement of the subject's pain. The present invention further relates to establishing and improving pain management protocols and therapy or treatment for the subject's pain based on the quantified pain measurement.

Presented herein are techniques that can be used to track/monitor the health/well-being of an individual, such as person of an implantable medical prosthesis system, in a manner that protects the individual's privacy. In particular, a system in accordance with embodiments presented herein comprises one or more sensors configured to detect signals that may comprise one or more of external acoustic sounds and/or body noises (i.e., sounds originating from within the body of the person). The outputs from one or more sensors are analyzed to identify and categorize the individual's body noises present in the detected signals. The body noises are categorized in terms of the person's current/real-time activity.

A ceiling artificial intelligence (AI) health monitoring system, includes a monitoring device provided on a ceiling of a space to acquire health information from a patient, and a medical management device configured to apply the health information of the patient acquired to an artificial intelligence-based learning model to determine health condition information of the patient and provide the determination result to a doctor monitor. The medical management device is configured to provide remote medical diagnosis information from the doctor monitor to a user terminal.

Detecting depression may include generating, using a sensor, sensor data for a user and automatically detecting, using a processor, a marker for depression in the sensor data. Responsive to determining, using the processor, that a condition is satisfied based upon the marker for depression, a survey is presented using a device.

An occupant assist apparatus (12) has: a receiving device (121) for receiving an occupant information relating to an occupant of a vehicle; an estimating device (122) for estimating, on the basis of the occupant information, at least one of a desire of the occupant to urinate and a desire of the occupant to defecate in a future than a timing when the occupant information is received; and an executing device (123) for executing an occupant assist on the basis of a result of an estimation by the estimating device.

Techniques, methods, systems, devices, and computer readable medium are disclosed from an oral cavity of a user identifying a feature in the user's oral cavity, tracking the feature as it changes, and determining a condition based on the tracking of the feature in the user's oral cavity. The user can use an interface provided by the device's user interface for activities such as biofeedback, controlling functions of the device and other devices, receiving information from external devices or the device, etc.

The present disclosure according to at least one embodiment relates to, in the learning process of a child using smart toys, a method and system for providing an interactive service by using a smart toy, which provide more accurate classified emotional state of the child based on at least one or more sensed data items of an optical image, a thermal image, and voice data of the child, as well as adaptively provide a flexible and versatile interactive service according to classified emotions.

This invention concerns measuring cognitive load. A word based input is produced by a person while performing a task (100). Predetermined grammatical features of the word based input are identified (104). Then, the identified grammatical features are weighted and combined to provide a measure indicating the person's cognitive load (106). The use of grammatical features represents a divergence from the known methods of providing a measure of a person's cognitive load. It is an advantage of the invention that by concentrating on the grammatical features it is able to provide an objective, non-intrusive measure of the person's cognitive load. Aspects the invention include a method, a computer system and software that are used to perform the method.