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 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 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 presenting customized learning content for an infant based on developmental 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 when the infant is presented with a first module of learning content. 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 whether the first module of learning content was appropriate for the infant. The measurement data is analyzed to determine a developmental age for the infant and present a second module of learning content customized to the developmental age of the infant.

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 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 more effectively monitoring infants to enhance caregiving and infant development. In one example, a platform receives measurement data from numerous infant monitoring systems corresponding to different infants in disparate locations and having different ages and developmental levels. Each of the infant monitoring systems includes an infant monitoring device and an infant monitoring hub. The platform analyzes the measurement data to generate a developmental model reflecting a range of characteristics corresponding to the numerous infants. The developmental model, which is customizable for individual infants, is sent to a first infant monitoring system.

Abstract: Provided are mechanisms and processes for predicting infant sleep patterns. Measurement data is received from multiple infant monitoring systems. The multiple infant monitoring systems each 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 is configured to process the measurement data. The measurement data is analyzed to identify sleep patterns associated with the plurality of infant monitoring systems. The sleep patterns include sleep transitions, wake transitions, sleep durations, and wake durations over a period of time for infants of various ages. A model is generated based on the sleep patterns associated with infants of various ages. The model is used to predict upcoming sleep patterns for a first infant based on recent measurement data associated with the first infant.

Abstract: A system is provided for aggregating data relating to infant emotional states. Measurement data is obtained from multiple infant monitoring systems, each including 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 is configured to process the measurement data. A development model is generated at a remote infant developmental analysis platform. The development model reflects a relationship between measurement data and desirable emotional states for infants at various developmental ages. The development model may be sent to a first infant monitoring system.

Abstract: Provided are mechanisms and processes for detecting accomplishments of 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 set of past measurement data. Based on a comparison of the measurement data with the past measurement data, an accomplishment of the infant can be detected. The monitoring hub then notifies a caregiver associated with the infant about the accomplishment.

Abstract: Provided are mechanisms and processes for providing social media recognition for completion of infant learning content. 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. The monitoring hub then determines a developmental age for the infant based on a comparison of the measurement data with the development model, presents learning content appropriate to the developmental age of the infant, and provides social media recognition for completing presentation of the learning content.

Abstract: Provided are mechanisms and processes for more effectively monitoring infants to enhance caregiving and infant development using an infant health monitoring system. In one example, the system includes an infant monitoring device interface that receives measurement data transmitted wirelessly from an infant monitoring device associated with a first infant. The infant monitoring device includes sensors that gather the measurement data corresponding to the first infant. The system also includes a hub processor that compares the measurement data to a health model to determine if a health concern is present. The health model is generated at a remote platform based on aggregated measurement data from multiple infant monitoring systems and sent to the system. The hub processor generates a notification for a caregiver associated with the first infant if a health concern is present.

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 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 inferences received in order to generate infant de-identified inferences and analyze the inferences received from the plurality of infant monitoring systems in order to generate a dynamic model reflecting infant trends relating to the inference for infants of different ages. The dynamic model is viewable by users associated with infant monitoring systems.

Abstract: A system provides programming and advertising to a video decoder such as a digital video recorder, computer system, software or hardware player, etc. When a user makes a request to skip a commercial by issuing a command such as 30 second skip forward, alternate media is provided. In some examples, an image advertisement is provided for a predetermined period of time either during the commercial break or when regular programming resumes. In other examples, a substitute commercial is shown. The substitute commercial may be shortened or compressed. The alternate media may be perceptually encoded in a video stream, hidden in a video stream, or provided in a separate stream. In some examples, survey based and neuro-response based data is used to evaluate and select alternate media for particular programming.

Abstract: A system provides programming and advertising to a video decoder such as a digital video recorder, computer system, software or hardware player, etc. When a user makes a request to skip a commercial by issuing a command such as 30 second skip forward, alternate media is provided. In some examples, an image advertisement is provided for a predetermined period of time either during the commercial break or when regular programming resumes. In other examples, a substitute commercial is shown. The substitute commercial may be shortened or compressed. The alternate media may be perceptually encoded in a video stream, hidden in a video stream, or provided in a separate stream. In some examples, survey based and neuro-response based data is used to evaluate and select alternate media for particular programming.

Abstract: A light sequence generation system is provided on human associated aquatic objects such as surfboards, boogie boards, and kayaks to deter shark attacks. Light sources such as light emitting diodes (LEDs) are configured to emit sequences of pulses in arrangements and/or patterns that are unnatural to sharks. Batteries and/or capacitors may be used along with solar panels to power the light sources. The batteries and/or capacitors can also power electromagnetic repellents or may be completely shield to prevent attractant effects. The unnatural light sequence generation system can be used in conjunction with other chemical and electromagnetic repellents.

Abstract: A light sequence generation system is provided on human associated aquatic objects such as surfboards, boogie boards, and kayaks to deter shark attacks. Light sources such as light emitting diodes (LEDs) are configured to emit sequences of pulses in arrangements and/or patterns that are unnatural to sharks. Batteries and/or capacitors may be used along with solar panels to power the light sources. The batteries and/or capacitors can also power electromagnetic repellents or may be completely shield to prevent attractant effects. The unnatural light sequence generation system can be used in conjunction with other chemical and electromagnetic repellents.

Abstract: Methods and apparatus for providing video with embedded media are disclosed. An example method includes dividing an image comprising a number of pixels into a number of portions, each portion including less than all of the pixels of the image, and blending respective ones of the portions with different video frames of a stream of video frames comprising a host presentation, wherein the media reaches a discernibility threshold when the host presentation is played at an accelerated rate.