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 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. In one example, a system includes an infant monitoring device interface that receives sensor data sent from a sensor located near an infant. The sensor data relates to environmental conditions surrounding the infant. The system also includes a processor that compares the sensor data to an environmental suitability model, which includes thresholds for sound pollution and visual clutter. The processor is further configured to determine if the environmental conditions are suitable for the infant and generate a notification for a caregiver associated with the infant if the environmental conditions are not suitable for the infant.

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 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 a more effectively monitoring infants to enhance caregiving and infant development. A system may include a wearable infant monitoring device having multiple sensors, a transmission interface, and a wearable casing. The multiple sensors gather measurement data associated with activity of an infant. The transmission interface transmits the measurement data detected by the multiple of sensors to a remote monitoring hub. A wearable casing is configured to house the plurality of sensors and transmission interface. The wearable casing and the multiple sensors include mechanisms to determine whether the infant is prone or supine.

Abstract: Provided are techniques and mechanisms for determining motions of an infant. An infant monitoring device interface is configured to receive measurement data transmitted from multiple sensors associated with an infant monitoring device. A camera interface is configured to receive sensor data from a camera, the camera is located in proximity to an infant associated with the infant monitoring hub. The sensor data comprises visual data of the infant. A processor is configured to determine motions of the infant based on the measurement data received from the infant monitoring device combined with the visual data received from the camera.

Abstract: Provided are mechanisms and processes for more effectively monitoring infants to enhance caregiving and infant development. In one example, a remote infant developmental analysis platform receives sensor data and measurement data transmitted from multiple infant monitoring systems. The remote infant developmental analysis platform generates an environmental suitability model, which reflects a relationship between a range of environmental conditions associated with the sensor data and expected infant characteristics corresponding to the range of environmental conditions. The remote infant developmental analysis platform then sends the environmental suitability model to a first infant monitoring system.

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 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 more effectively monitoring infants to enhance caregiving and infant development. A system may include a wearable infant monitoring device, transmission interface, and monitoring hub. The wearable infant monitoring device includes sensors that detect activity and position of an infant. The transmission interface transmits measurement data associated with the activity and position of the infant. The monitoring hub receives the measurement data and includes a processor configured to determine the infant's receptivity to learning. Learning materials are then provided to a caregiver through a display interface based on the infant's receptivity to learning.

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 more effectively monitoring infants to enhance caregiving and infant development. In one example, a system includes a platform interface that receives measurement data transmitted from multiple infant monitoring systems. The multiple infant monitoring systems each include an infant monitoring device that gathers measurement data for an infant and an infant monitoring hub that processes the measurement data. The system also includes a platform processor that analyzes the measurement data to identify patterns including a first pattern of activity of infants associated with the multiple infant monitoring systems. The patterns of activity are associated with changes in the measurement data over time. The platform processor generates a model based on the patterns of activity. This model is used to predict an upcoming activity for a first infant that has expressed a first pattern of activity.

Abstract: Provided are mechanisms and processes for more effectively monitoring infants to enhance caregiving and infant development. In one example, a system includes an infant monitoring device interface, a device interface, and a processor. The infant monitoring device interface receives measurement data transmitted from an infant monitoring device. The measurement data includes motion and position of an infant associated with the infant monitoring device. The device interface receives sensor data including visual data from a camera. The processor determines an orientation of the infant based on the measurement data received from the infant monitoring device and the visual data received from the camera. This orientation includes whether the infant is prone or supine.