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 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 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 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 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.

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: 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 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 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: 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 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 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 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 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: 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 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: 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.