Abstract: 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.

Abstract: In general, certain embodiments of the present disclosure provide devices and methods for brewing beverages. According to various embodiments, the device comprises a pipe structure coupled to a chamber. In some embodiments, the chamber may be configured to house a brewing agent. The device further comprises a pump coupled to the pipe structure. In some embodiments, the pump may be configured to cause water in a container to be pumped through an intake aperture in the pipe structure. The device further comprises a heating element coupled to the pipe structure. In some embodiments, the heating element may cause the water to be heated. In some embodiments, the water in the pipe structure may be directed through the chamber in order to steep the brewing agent in the water.

Abstract: In general, certain embodiments of the present disclosure provide methods and systems for analyzing eye and contact lens condition. According to various embodiments, a method is provided comprising receiving an image of an eye. The method further comprises extracting condition information of the eye and receiving diagnosis information from a database. The method further comprises comparing the condition information with the diagnosis information and providing an analysis of the eye. In various embodiments, the eye may include a contact lens on the surface of the eye and the condition information may include a condition of the contact lens. In some embodiments, the analysis may include an estimated suggested time to remove the contact lens. In other embodiments, the analysis may include an estimated expiration of the contact lens. In some embodiments, the database may comprise both local storage and global databases access through a global network.

Abstract: Provided are mechanisms and processes for automatically removing an individual from an image or group of images. One example method includes receiving a request to remove an individual from an image. Specifically, this request includes a selection of the individual's face in the image. Next, preferences relating to removal of the individual are received, such as preferred selections about whether to remove the individual completely from the image, whether to replace the individual with a substitute, and whether to retain selected individuals in the image. Facial features associated with the individual and body features associated with the individual are then identified and the individual is removed from the image based on the preferences provided relating to removal of the individual and surrounding elements.

Abstract: A system analyzes neuro-response measurements including regional electroencephalography (EEG) measurements from subjects exposed to stimulus materials to determine locations in stimulus materials eliciting controlled attention and automatic attention. Additional stimulus materials are inserted into locations having salient attention attributes. In some examples, a challenging task is used to direct controlled attention onto a location and additional stimulus material is subtly presented in the location to benefit from automatic attention and salient attention measurements.

Abstract: A system analyzes neuro-response measurements including regional electroencephalography (EEG) measurements from subjects exposed to stimulus materials to determine locations in stimulus materials eliciting controlled attention and automatic attention. Additional stimulus materials are inserted into locations having salient attention attributes. In some examples, a challenging task is used to direct controlled attention onto a location and additional stimulus material is subtly presented in the location to benefit from automatic attention and salient attention measurements.

Abstract: Provided are mechanisms and processes for more effectively monitoring pets to enhance caregiving and pet development. In one example, a system includes a pet monitoring device having a plurality of sensors that gather measurement data, such as motion and arousal, from a pet. The system also includes a monitoring hub that receives the measurement data from the pet monitoring device and analyzes the measurement data in relation to a learning receptivity model obtained from a remote platform. The measurement data is analyzed to predict a time and duration when a pet associated with the pet monitoring device will be receptive to learning.

Abstract: Provided are mechanisms and processes for an infant caregiver system. The system includes a platform interface, platform storage, and a platform processor. The platform interface is configured to receive measurement data transmitted from an infant monitoring system. The infant monitoring system includes an infant monitoring device having a plurality of sensors that gather the measurement data corresponding to activity associated with a first infant. Platform storage is configured to store learning content and infant de-identified data. An infant profile is associated with the first infant and infant de-identified data is associated with a plurality of infants. The platform processor is configured to provide a platform portal. The platform portal serves as a user interface through which a caregiver associated with the first infant can access information from platform storage.

Abstract: Provided are mechanisms and processes for an infant data aggregation system. The system includes a platform interface and a platform processor. A platform interface is configured to receive measurement data from multiple infant monitoring systems, each of the multiple infant monitoring systems including an infant monitoring device and an infant monitoring hub. Each of the plurality of infant monitoring systems is associated with a corresponding infant. A platform processor is configured to remove personally identifiable information associated with the measurement data to generate infant de-identified data and analyze the measurement data from the plurality of infant monitoring systems to generate a dynamic model reflecting infant trends associated with infants of different ages. The dynamic model is viewable by users associated with infant monitoring systems. The platform interface may be further configured to send the dynamic model to a first infant monitoring system.

Abstract: Provided are mechanisms and processes for determining physiological measurements associated with an infant. In one example, a system includes an infant monitoring device and a monitoring hub. An infant monitoring device interface is configured to receive measurement data transmitted wirelessly from multiple sensors associated with an infant monitoring device. The infant monitoring device is configured to be worn by an infant. A camera interface is configured to receive sensor data from a camera. The camera located in proximity to the infant. The sensor data comprises visual data of the infant. A processor is configured a physiological measurement of the infant based on the measurement data received from the infant monitoring device and the visual data received from the camera.

Abstract: Provided are mechanisms and processes for an infant data aggregation system. The system includes a platform interface and a platform processor. A platform interface is configured to receive measurement data from multiple infant monitoring systems, each of the multiple infant monitoring systems including an infant monitoring device and an infant monitoring hub. Each of the plurality of infant monitoring systems is associated with a corresponding infant. A platform processor is configured to remove personally identifiable information associated with the observations received in order to generate infant de-identified observations and analyze the observations received from the plurality of infant monitoring systems in order to generate a dynamic model reflecting infant trends relating to the observation for infants of different ages. The dynamic model is viewable by users associated with infant monitoring systems.

Abstract: Provided are mechanisms and processes for deriving infant development models. The system includes a platform interface and a platform processor. A platform interface is configured to receive measurement data from multiple infant monitoring systems. Each of the multiple infant monitoring systems include an infant monitoring device and an infant monitoring hub. The infant monitoring device is configured to gather measurement data for a corresponding infant and the monitoring hub is configured to process the measurement data. A platform processor is configured to analyze the measurement data from the multiple infant monitoring systems to identify a range of characteristics corresponding to infants of various developmental levels. The platform processor is also configured to generate a development model using the range of characteristics for infants of various developmental levels. The developmental model includes model measurement data for infants at the various developmental levels.

Abstract: Provided are mechanisms and processes for more effectively monitoring infants to enhance caregiving and infant development. A system may include an infant monitoring device and a monitoring hub. The infant monitoring device includes sensors that gather measurement data. The monitoring hub receives the measurement data and analyzes the measurement data in relation to a learning receptivity model obtained from a remote platform. The measurement data is analyzed to predict a time and duration when an infant associated with the infant monitoring device will be receptive to learning.

Abstract: Provided are mechanisms and processes for providing customized learning content for an infant based on parental preferences. In one example, a system includes an infant monitoring device and a monitoring hub. The infant monitoring device includes sensors that gather measurement data associated with the infant. The monitoring hub receives the measurement data and analyzes the measurement data to determine a developmental age for the infant. The monitoring hub also receives user input for a first preference related to learning content for the infant. Based on the developmental age associated with the infant and the first preference, a first module of learning content is selected. The first module of learning content is presented via a display associated with the monitoring hub.

Abstract: Provided are mechanisms and processes for monitoring an infant's emotional state. In one example, a system includes an infant monitoring hub that has an infant monitoring device interface and a hub processor. The infant monitoring device interface receives measurement data transmitted wirelessly from an infant monitoring device associated with a first infant. The hub processor compares the measurement data to a development model to determine if an emotional state associated with the measurement data reaches an undesirable level and generates a notification for a caregiver associated with the first infant if the emotional state reaches an undesirable level.

Abstract: Provided are mechanisms and processes for determining an infant's developmental age relative to biological age. In one example, a system includes an infant monitoring device and a monitoring hub. The infant monitoring device includes sensors that gather measurement data associated with the infant. The monitoring hub receives the measurement data and analyzes the measurement data in relation to a development model obtained from a remote platform to determine a developmental age for the infant. The monitoring hub then provides a comparison of the developmental age with a biological age of the infant, where the biological age is obtained by manual input by a user at the monitoring hub.

Abstract: Provided are mechanisms and processes for more effectively monitoring infant caregiving to enhance caregiving and infant development. A system may include multiple sensors, a transmission interface, and a wearable casing. The multiple sensors gather measurement data associated with activity of a caregiver. The transmission interface transmits the measurement data detected by the plurality of sensors to a remote monitoring hub, where proximity of the caregiver to an infant can be determined based on the measurement data. The wearable casing is configured to house the multiple sensors and the transmission interface.

Abstract: Provided are mechanisms and processes for an infant data aggregation system. The system includes a platform interface and a platform processor. A platform interface is configured to receive measurement data transmitted from multiple infant monitoring systems. Each of the multiple infant monitoring systems include an infant monitoring device and an infant monitoring hub. The infant monitoring device is configured to gather measurement data for an infant and the monitoring hub configured to process the measurement data. A platform processor is configured to analyze the measurement data to identify patterns including a first pattern of activity of infants associated with the multiple infant monitoring systems. The first pattern of activity is associated with an inference about the infants. The platform processor is further configured to generate a model for the inference based on the first pattern of activity for infants of various ages.

Abstract: Provided are mechanisms and processes for an infant data aggregation system. The system includes a platform interface and a platform processor. A platform interface is configured to receive measurement data transmitted from multiple infant monitoring systems. Each of the multiple infant monitoring systems includes includes an infant monitoring device and an infant monitoring hub. The infant is monitoring device configured to gather measurement data for an infant and the monitoring hub configured to process the measurement data. A platform processor is configured to analyze the measurement data to identify including a first pattern of activity of infants associated with multiple infant monitoring systems. The first pattern of activity is associated with an observation about the infants. The platform processor is further configured to generate a model for the observation based on the first pattern of activity for infants of various ages.

Abstract: Provided are mechanisms and processes for generating a customized playlist of educational materials for an infant. In one example, a system includes an infant monitoring device and a monitoring hub. The infant monitoring device includes sensors that gather measurement data associated with the infant. The monitoring hub receives the measurement data from the sensors and analyzes the measurement data in relation to a development model obtained from a remote platform. Based on a comparison of the measurement data with the development model, the monitoring hub determines a developmental age for the infant, selects numerous learning content modules appropriate to the developmental age of the infant, and arranges these modules into a playlist.