Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes a thermal image detector to determine a heat blob count based on a frame of thermal image data captured in the media environment, an audience image detector to identify a face of an audience member based on a frame of audience image data captured in the media environment, the frame of audience image data corresponding to a field of view associated with at least one heat blob included in the heat blob count, and a people meter controller to cause a people meter, which is to emit a prompt for audience identification information, not to emit the prompt for at least a first time period after the audience member is identified.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to automate receivability updates for media crediting. At least one non-transitory machine-readable medium comprises instructions that, when executed, cause at least one processor to at least identify a station identifier associated with at least one of a signature or a code, the at least one of the signature or the code collected at a panelist household. The instructions, when executed, cause at least one processor to further determine whether a household receivability table includes the station identifier, to determine, in response to a determination that the household receivability table does not include a station corresponding to the station identifier, whether the station is receivable at the panelist household, and to update the household receivability table, the update in response to a determination that the station corresponding to the station identifier is receivable at the panelist household.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes a controller to cause a people meter to emit a prompt for input of audience identification information at a first time and determine a first audience count based on the input, an audio detector to determine a second audience count based on signatures generated from audio data captured in the media environment, and a comparator to cause the people meter to not emit the prompt for at least a first time period after the first time when the first audience count is equal to the second audience count.

Abstract: Methods and apparatus to perform an automated gain control protocol with an amplifier based on historical data corresponding to contextual data are disclosed. Example apparatus disclosed herein are to select an automatic gain control (AGC) parameter for an AGC protocol based on historical data corresponding to contextual data, the contextual data including at least one of a time during which the AGC protocol is performed, a panelist identified by a meter, demographics of an audience identified by the meter, a location of the meter, a station identified by the meter, a media type identified by the meter, or a sound pressure level identified by the meter. The disclosed example apparatus are also to perform the AGC protocol based on the selected AGC parameter.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes a controller to cause a people meter to emit a prompt for input of audience identification information at a first time and determine a first audience count based on the input, an audio detector to determine a second audience count based on signatures generated from audio data captured in the media environment, and a comparator to cause the people meter to not emit the prompt for at least a first time period after the first time when the first audience count is equal to the second audience count.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes a thermal image detector to determine a heat blob count based on a frame of thermal image data captured in the media environment, an audience image detector to identify a face of an audience member based on a frame of audience image data captured in the media environment, the frame of audience image data corresponding to a field of view associated with at least one heat blob included in the heat blob count, and a people meter controller to cause a people meter, which is to emit a prompt for audience identification information, not to emit the prompt for at least a first time period after the audience member is identified.

Abstract: Methods, apparatus, systems and articles of manufacture for near real time out of home audience measurement are disclosed. An example apparatus includes at least one memory; instructions; and processor circuitry to execute the instructions to at least: receive a first data transmission request at a first portable meter; send a second data transmission request from the first portable meter to a second portable meter; determine whether the first portable meter is capable of transmitting at least one data packet, based at least in part on an indication the second portable meter is capable of transmitting the at least one data packet; and in response to determining the first portable meter is capable of transmitting the at least one data packet, transmit the at least one data packet.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes a thermal image detector to determine a heat blob count based on a frame of thermal image data, the frame of thermal image data captured in the media environment, a comparator to compare the heat blob count to a prompted people count, the prompted people count based on one or more responses to a prompting message, and when the heat blob count and the prompted people count match, cause a timer that is to trigger generation of the prompting message to be reset.

Abstract: A method implemented by a computing system comprises receiving, by the computing system, content information associated with content being presented on a user device and location information that specifies a location of the user device. A route predictor determines, based on the content information and the location information, one or more future routes associated with a user of the user device. The computing system identifies point of interest (POI) information associated with points of interest along one or more future routes and communicates the POI information to the user device that specifies POI content for presentation by the user device.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes a thermal image detector to determine a heat blob count based on a frame of thermal image data, the frame of thermal image data captured in the media environment, a comparator to compare the heat blob count to a prompted people count, the prompted people count based on one or more responses to a prompting message, and when the heat blob count and the prompted people count match, cause a timer that is to trigger generation of the prompting message to be reset.

Abstract: Methods and apparatus to determine automated gain control parameters for an automated gain control protocol are disclosed. An example apparatus includes a first tuner to amplify an audio signal. Disclosed example apparatus also include a second tuner to amplify the audio signal. Disclosed example apparatus also include a first controller to tune the first tuner to apply a first gain representative of a first range of gains to the audio signal to determine a first amplified audio signal and tune the second tuner to apply a second gain representative a second range of gains to the audio signal to determine a second amplified audio signal, the second range of gains lower than the first range of gains. Disclosed example apparatus also include a second controller to select the first range of gains to be utilized in an automated gain control protocol when the first gain results in clipping of the first amplified audio signal and the second gain does not result in clipping of the second amplified audio signal.

Abstract: Methods and apparatus to perform an automated gain control protocol with an amplifier based on historical data corresponding to contextual data are disclosed. An example apparatus includes a controller to select an automatic gain control (AGC) parameter for an AGC protocol based on historical data corresponding to contextual data, the contextual data including at least one of a time during which the AGC protocol is performed, a panelist identified by a meter, demographics of an audience identified by the meter, a location of the meter, a station identified by the meter, a media type identified by the meter, or a sound pressure level identified by the meter; and a processor to perform the AGC protocol based on the selected AGC parameter.

Abstract: Methods and apparatus to determine automated gain control parameters for an automated gain control protocol are disclosed. An example apparatus includes a first tuner to amplify an audio signal. Disclosed example apparatus also include a second tuner to amplify the audio signal. Disclosed example apparatus also include a first controller to tune the first tuner to apply a first gain representative of a first range of gains to the audio signal to determine a first amplified audio signal and tune the second tuner to apply a second gain representative a second range of gains to the audio signal to determine a second amplified audio signal, the second range of gains lower than the first range of gains. Disclosed example apparatus also include a second controller to select the first range of gains to be utilized in an automated gain control protocol when the first gain results in clipping of the first amplified audio signal and the second gain does not result in clipping of the second amplified audio signal.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes an audio detector to determine a first audience count based on signatures of audio data captured in the media environment, a thermal image detector to determine a heat blob count based on a frame of thermal image data captured in the media environment, and an audience image detector to identify at least one audience member based on a comparison of a frame of audience image data with a library of reference audience images, the audience image detector to perform he comparison in response to the first audience count not matching the heat blob count.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes a thermal image detector to determine a heat blob count based on a frame of thermal image data captured in the media environment, an audience image detector to identify a face of an audience member based on a frame of audience image data captured in the media environment, the frame of audience image data corresponding to a field of view associated with at least one heat blob included in the heat blob count, and a people meter controller to cause a people meter, which is to emit a prompt for audience identification information, not to emit the prompt for at least a first time period after the audience member is identified.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes a controller to cause a people meter to emit a prompt for input of audience identification information at a first time and determine a first audience count based on the input, an audio detector to determine a second audience count based on signatures generated from audio data captured in the media environment, and a comparator to cause the people meter to not emit the prompt for at least a first time period after the first time when the first audience count is equal to the second audience count.

Abstract: Audience monitoring systems and related methods are described herein. An example audience monitoring system includes a beacon to be disposed proximate a media presentation device. The beacon is to transmit a ping signal. The system also includes a portable metering device to be carried by a person. The portable metering device includes a microphone to receive an audio signal and a processor to determine a distance value indicative of a distance between the portable metering device and the beacon based on the ping signal.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes a thermal image detector to determine a heat blob count based on a frame of thermal image data, the frame of thermal image data captured in the media environment, a comparator to compare the heat blob count to a prompted people count, the prompted people count based on one or more responses to a prompting message, and when the heat blob count and the prompted people count match, cause a timer that is to trigger generation of the prompting message to be reset.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to analyze performance of wearable metering devices. An example apparatus includes a data collector to collect diagnostic data via a network from a wearable metering device, the diagnostic data including time varying device data characterizing an operational status of a component of the wearable metering device, the diagnostic data defined by a software development kit; a machine learning engine to process the diagnostic data to predict whether the wearable metering device is associated with a failure mode; and an alert generator to, in response to the machine learning engine predicting the wearable metering device is associated with the failure mode, the failure mode associated with the operational status of the component, transmit an alert to a wearable metering device management agent.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that analyze performance of manufacturer independent devices. An example apparatus includes a software development kit (SDK) deployment engine to deploy an SDK to a manufacturer of a device, the SDK to define heartbeat data to be collected from the device and interfacing techniques to transmit the heartbeat data to a measurement entity. In some examples, the apparatus includes a machine learning engine to predict whether the device is associated with one or more failure modes. The example apparatus also includes an alert generator to generate an alert based on a prediction, the alert to indicate at least one of a type of a first one of the failure modes or at least one component of the device to be remedied according to the first one of the one or more failure modes, and transmit the alert to a management agent.