Abstract: A marketing analytics pipeline that receives transaction-level trend reporting of media IP assets distributed on digital service providers (DSPs), the marketing analytics pipeline including a marketing action analytics hub configured to receive the growth and re-engagement opportunities from an opportunity detection analytics hub or from a marketing platform directly and to identify high growth potential audiences using predictive models of engagement; and a marketing platform configured to interact with the marketing action analytics hub and to create marketing campaigns based around the high growth potential audiences and suggest marketing actions to media IP asset managers and owners to deliver to the high growth potential audiences on appropriate marketing channels via targeted marketing campaigns. The marketing action analytics hub uses a geodemographic and interest-based targeting method of generating descriptions of high growth potential audiences.

Abstract: Fibrous filtration media and method of making the same are provided. According to preferred embodiments, the filtration media includes a wet-laid hot area-calendered nonwoven fibrous web which includes synthetic staple fibers, and from about 20 wt. % to about 80 wt. %, based on total weight of the fibrous web, of sheath-core bicomponent staple fibers dispersed through the fibrous web. The fibrous web exhibits dry and wet burst strengths of greater than 10 bar, preferably greater than about 12 bar, e.g. greater than about 15 bar.

Abstract: According to one embodiment, an apparatus comprising a portable monitoring device to be affixed to a user. The portable monitoring device including: 1) a set of one or more sensors to generate sensor data indicative of physical activity of a user when the portable monitoring device is affixed to the user; and 2) processing circuitry coupled with the set of sensors, to detect that the user has been sedentary for a period of time, and cause the portable monitoring device to alert the user responsive to the detection to encourage the user to move.

Abstract: Methods, devices, and computer programs are presented for consolidating overlapping data provided by multiple sources. One method includes operations for associating a plurality of devices to a user, each device operable to capture data associated with the user, and for receiving, from the plurality of devices, captured data about a first activity associated with a first period of time. Additionally, the method includes operations for detecting that the received captured data from two or more devices provide overlapping information about the first activity, and for evaluating one or more rules for consolidating the overlapping information to produce consolidated data. The consolidated data provides a unified view of the first activity during the first period of time. The consolidated data is stored in permanent storage and made available for presentation to the user.

Abstract: The disclosure relates to methods, devices, and systems to identify a user of a wearable fitness monitor using data obtained using the wearable fitness monitor. Data obtained from motion sensors of the wearable fitness monitor and data obtained from heartbeat waveform sensors of the wearable fitness monitor may be used to identify the user.

Abstract: A cutting board having a curved chamber wall along a side portion for collecting foodstuff in and pouring foodstuff from a chamber spaced defined by the chamber wall. The chamber wall provides a concaved top face for facilitating wiping a cutting utensil clean of foodstuff so that the wiped-off foodstuff falls toward the center of the cutting surface.

Abstract: According to one embodiment, an apparatus comprising a portable monitoring device to be affixed to a user. The portable monitoring device including: 1) a set of one or more sensors to generate sensor data indicative of physical activity of a user when the portable monitoring device is affixed to the user; and 2) processing circuitry coupled with the set of sensors, to detect that the user has been sedentary for a period of time, and cause the portable monitoring device to alert the user responsive to the detection to encourage the user to move.

Abstract: A pillow includes a head support, a neck support, and an opening extending entirely through a central portion of the pillow. The head support includes a top surface and a bottom surface, and defines a first height extending between the top and bottom surfaces. The neck support is coupled to the head support and includes a top surface and a bottom surface. The top surface has a central portion and side portions. The central portion defines a second height extending between a base of the central portion and the bottom surface, and each of the side portions defines a third height extending between an apex of the respective side surface and the bottom surface. The third height is greater than the first and second heights.

Abstract: Assisted-GPS for a portable biometric monitoring device is provided. The portable biometric monitoring device may obtain updated ephemeris data from an associated secondary device via a short-range, low-power communication protocol. The secondary device may be a computing device such as a smartphone, tablet, or laptop. Various rules may control when the ephemeris data is updated. The ephemeris data may be used in the calculation of the global position of the portable biometric monitoring device. Additionally, the portable biometric monitoring device may communicate downloaded position fixing data to the associated secondary device. The associated secondary device may then calculate the global position from the position fixing data.

Abstract: Methods, systems, and devices provide improved proximity services. In one aspect, a base station includes an information generating module and an information transmission module. The information generating module generates control information for causing a mobile device to initiate a discovery signal transmission procedure. The discovery signal transmission procedure allows the mobile device to be discovered. The information transmission module transmits the control information to the mobile device. In another aspect, a mobile device includes an information receiving module, a control module, and a signal transmission module. The information receiving module receives control information. The control module initiates a discovery signal transmission procedure for proximity services responsive to the information receiving module receiving the control information. The discovery signal transmission procedure includes generating a discovery signal allowing the mobile device to be discovered.

Abstract: An activity monitoring device, methods and computer readable media are provided. The activity monitoring device includes a housing configured for attachment to a body part of a user and a display screen attached to the housing. Further included is a first sensor disposed in the housing for capturing motion of the activity monitoring device when attached to the body part of the user and a second sensor disposed in the housing for sampling a heart rate of the user. Memory is disposed in the housing for storing the motion captured by the first sensor and the heart rate sampled by the second sensor. A processor is disposed in the housing and is configured to determine a physical state of the user during a period of time. For motion that is below a threshold the processor identifies the physical state to be a sedentary state and for motion that is at or above the threshold the processor identifies the physical state to be an active state.

Abstract: A method and system receive consumer media consumption data and dynamically prioritize the allocation of marketing resources amongst a variety of media intellectual property (IP) assets and for a variety of media IP asset managers and owners to run automated targeted marketing campaigns. The system identifies patterns in consumer media consumption using a statistical model which detects media IP assets demonstrating a high likelihood of realizing an efficient marketing opportunity. The efficiency of a marketing opportunity is evaluated using a statistical model based on the identification of customers who are most likely to increase the frequency with which they stream the assets after being exposed to them via a marketing action in addition to the projected costs of reaching this audience. The system automatically constructs a marketing campaign. The campaign is presented to the asset manager/owner in a graphical user interface (GUI) which enables the option to purchase and execute the marketing actions.

Abstract: An extrusion die (100) for a honeycomb body, the die (100) including: an input surface (102); an opposing output surface (104); feed holes (108) extending from the input surface (102) toward the output surface (104); discharge slots (106) having a slot width (SW) and a slot length (SL), and extending from the output surface (104) toward the input surface (102); and a plenum (130) fluidly connecting the feed holes (108) and the discharge slots (106). The plenum (130) may include chambers (132) connected to the feed holes (108) and including tapered outlets (134) connected to the discharge slots (106). The plenum (133) may include first chambers (132A) connected to the feed holes (108) and including first tapered outlets (134A), and second chambers (132B) connected to the first outlets and including second tapered outlets (134B) connected to the discharge slots (106).

Abstract: A method includes receiving location data of a monitoring device when carried by a user and receiving motion data of the monitoring device. The motion data is associated with a time of occurrence and the location data. The method includes processing the received motion data to identify a group of the motion data having a substantially common characteristic and processing the location data for the group of the motion data. The group of motion data by way of processing the location data provides an activity identifier. The motion data includes metric data that identifies characteristics of the motion data. The method includes transferring the activity identifier and the characteristics of the motion data to a screen of a device for display. The activity identifier being a graphical user interface that receives an input for rendering more or less of the characteristics of the motion data.

Abstract: Biometric monitoring devices, including various technologies that may be implemented in such devices, are discussed herein. Additionally, techniques, systems, and apparatuses are discussed herein for utilizing two different Bluetooth communications interfaces, one that provides Bluetooth classic (base rate/enhanced data rate) communications functionality and one that provides Bluetooth low-energy communications functionality, in a common device. The techniques, systems, and apparatuses may elect to use a particular Bluetooth interface based on various criteria.

Abstract: The disclosure relates to methods, devices, and systems to identify a user of a wearable fitness monitor using data obtained using the wearable fitness monitor. Data obtained from motion sensors of the wearable fitness monitor and data obtained from heartbeat waveform sensors of the wearable fitness monitor may be used to identify the user.

Abstract: An activity monitoring device, methods and computer readable media are provided. The activity monitoring device includes a housing configured for attachment to a body part of a user and a display screen attached to the housing. Further included is a first sensor disposed in the housing for capturing motion of the activity monitoring device when attached to the body part of the user and a second sensor disposed in the housing for sampling a heart rate of the user. Memory is disposed in the housing for storing the motion captured by the first sensor and the heart rate sampled by the second sensor. A processor is disposed in the housing and is configured to determine a physical state of the user during a period of time. For motion that is below a threshold the processor identifies the physical state to be a sedentary state and for motion that is at or above the threshold the processor identifies the physical state to be an active state.

Abstract: A method includes receiving location data of a monitoring device when carried by a user and receiving motion data of the monitoring device. The motion data is associated with a time of occurrence and the location data. The method includes processing the received motion data to identify a group of the motion data having a substantially common characteristic and processing the location data for the group of the motion data. The group of motion data by way of processing the location data provides an activity identifier. The motion data includes metric data that identifies characteristics of the motion data. The method includes transferring the activity identifier and the characteristics of the motion data to a screen of a device for display. The activity identifier being a graphical user interface that receives an input for rendering more or less of the characteristics of the motion data.

Abstract: Systems, methods, and devices for an Integrated Access and Backhaul (IAB) node comprising: processing circuitry configured to communicate IAB information with an another IAB node; and transmitting circuitry configured to transmit, to the another IAB node, a set of one or more parameters used for coordinating downlink resources and uplink resources in radio resources to be used for the IAB communication. Other embodiments include an Integrated Access and Backhaul (IAB) node comprising: processing circuitry configured to communicate IAB information with an another IAB node; and receiving circuitry configured to receive, from the another IAB node, a set of one or more parameters used for coordinating downlink resources and uplink resources in radio resources to be used for the IAB communication.

Abstract: The disclosure relates to methods, devices, and systems to identify a user of a wearable fitness monitor using data obtained using the wearable fitness monitor. Data obtained from motion sensors of the wearable fitness monitor and data obtained from heartbeat waveform sensors of the wearable fitness monitor may be used to identify the user.