Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to determine whether audience measurement meters are co-located. An example apparatus is to, based on a difference between a first sampling time of a first entry of a first log and a second sampling time of a corresponding entry of a second log satisfying a first threshold, determine at least one matching instance of at least one first device identifier of the first entry and at least one second device identifier of the corresponding entry. Additionally, the example apparatus is to populate a variable with the at least one matching instance. The example apparatus is also to, based on a metric satisfying a second threshold, cause transmission of an alert indicating that a first meter and a second meter were co-located during generation of the first log and the second log, the metric based on the at least one matching instance.

Abstract: In one example, a method is described. The method includes receiving a wireless signal from a remote control device; determining that the wireless signal comprises a command sent from the remote control device to a media presentation device, where the media presentation device is configured to provide streaming media to a media output device for presentation in a monitored environment, and where the computing device, the remote control device, the media presentation device, and the media output device are located within the monitored environment; based on the determination that the wireless signal comprises the command sent from the remote control device to the media presentation device, controlling the media output device to capture an image of the streaming media and transmit the image to the computing device; and based on the image, determining source information identifying a streaming service provider as a source of the streaming media.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes interface circuitry to: obtain primary data from a first meter and a second meter, the primary data including at least one of: (a) acceleration data and (b) short-range wireless communication data; and obtain secondary data from the first meter and the second meter, the secondary data including at least one of: (a) location data and (b) audio data; comparator circuitry to: determine one or more primary factors based on the primary data, the primary factors to include at least one of a correlation coefficient or a difference in connected device sequences; determine one or more secondary factors based on the secondary data; and model executor circuitry to determine, based on the one or more primary factors and the one or more secondary factors, whether the first meter and the second meter correspond to duplicate wear.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for mobile device attention detection. An example apparatus includes a mobile meter to receive, from an external device, a signal to gather user attention data, and transmit the user attention data. The example apparatus further includes an interval timer to activate a time period for determining attention of a user. The example apparatus further includes an attention determiner to generate the user attention data during the time period.

Abstract: In one example, a method is described. The method includes receiving a first number of steps over a period of time corresponding to a first portable people meter (“PPM”) associated with a first panelist of a household and receiving a second number of steps over the period of time corresponding to a second PPM associated with a second panelist of the household. The method includes comparing the first number of steps and the second number of steps over the period of time; determining that the first number of steps of the first PPM and the second number of steps of the second PPM vary less than a tolerance threshold; and based on the first number of steps of the first PPM and the second number of steps of the second PPM varying less than the tolerance threshold, determining that duplicate wear of the first PPM and the second PPM occurred.

Abstract: Methods, apparatus, systems and articles of manufacture to measure engagement of media consumers based on acoustic environment are disclosed. Example apparatus disclosed herein are to identify media device audio data and ambient environment audio data from sensed audio data collected from an environment, and determine classification data for the media device audio data and the ambient environment audio data. Disclosed example apparatus are also to process the classification data with a machine learning model to calculate an engagement metric. Disclosed example apparatus are further to determine whether at least one individual is engaged with media in the environment based on the engagement metric.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for mobile device attention detection. An example apparatus includes a mobile meter to receive, from an external device, a signal to gather user attention data, and transmit the user attention data. The example apparatus further includes an interval timer to activate a time period for determining attention of a user. The example apparatus further includes an attention determiner to generate the user attention data during the time period.

Abstract: Methods, apparatus, systems and articles of manufacture to measure engagement of media consumers based on acoustic environment are disclosed. Example apparatus disclosed herein are to identify media device audio data and ambient environment audio data from sensed audio data collected from an environment, and determine classification data for the media device audio data and the ambient environment audio data. Disclosed example apparatus are also to process the classification data with a machine learning model to calculate an engagement metric. Disclosed example apparatus are further to determine whether at least one individual is engaged with media in the environment based on the engagement metric.

Abstract: In one example, a method is described. The method includes: obtaining network traffic data including at least one user agent, where the user agent is associated with a client device coupled to a network at a media exposure measurement location, and where the user agent comprises a string of characters defining client device attributes, comparing one or more of the client device attributes to candidate device attributes stored in an audience measurement database, based on the comparison, selecting, from a set of candidate device attributes, a set of target device attributes corresponding to a target device identifier, determining a number of occurrences of the set of target device attributes in the network traffic data, and based on a determination that the number of occurrences is above a threshold, outputting the target device identifier as the device identifier that corresponds to the user agent.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to detect a presence status. An example apparatus includes media identification circuitry to generate first signatures representative of first audio data associated with a monitored media device, a comparator to obtain second signatures from a portable meter, the second signatures representative of second audio data sensed by the portable meter and compare the first signatures and the second signatures to determine a comparison result, presence detection circuitry to determine a presence status of a user based on the comparison result, the user associated with the portable meter, and network communication circuitry to transmit the presence status to a data processor to perform audience measurement based on the presence status.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to detect a presence status. An example apparatus includes media identification circuitry to generate first signatures representative of first audio data associated with a monitored media device, a comparator to obtain second signatures from a portable meter, the second signatures representative of second audio data sensed by the portable meter and compare the first signatures and the second signatures to determine a comparison result, presence detection circuitry to determine a presence status of a user based on the comparison result, the user associated with the portable meter, and network communication circuitry to transmit the presence status to a data processor to perform audience measurement based on the presence status.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for multimodal audience detection and identification. An example system disclosed herein includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to: select a portion of a set of signal strength values associated with advertising packets from a device associated with a user, the advertising packets captured by a multi-axis receiver on a plurality of different signal polarizations; calculate a first representative signal strength value based on the selected portion of signal strength values; and determine a presence of the user based on whether the first representative signal strength value satisfies a threshold.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes interface circuitry to: obtain primary data from a first meter and a second meter, the primary data including at least one of: (a) acceleration data and (b) short-range wireless communication data; and obtain secondary data from the first meter and the second meter, the secondary data including at least one of: (a) location data and (b) audio data; comparator circuitry to: determine one or more primary factors based on the primary data, the primary factors to include at least one of a correlation coefficient or a difference in connected device sequences; determine one or more secondary factors based on the secondary data; and model executor circuitry to determine, based on the one or more primary factors and the one or more secondary factors, whether the first meter and the second meter correspond to duplicate wear.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to determine whether audience measurement meters are co-located. An example apparatus is to, based on a difference between a first sampling time of a first entry of a first log and a second sampling time of a corresponding entry of a second log satisfying a first threshold, determine at least one matching instance of at least one first device identifier of the first entry and at least one second device identifier of the corresponding entry. Additionally, the example apparatus is to populate a variable with the at least one matching instance. The example apparatus is also to, based on a metric satisfying a second threshold, cause transmission of an alert indicating that a first meter and a second meter were co-located during generation of the first log and the second log, the metric based on the at least one matching instance.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for multimodal audience detection and identification. An example system disclosed herein includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to: select a portion of a set of signal strength values associated with advertising packets from a device associated with a user, the advertising packets captured by a multi-axis receiver on a plurality of different signal polarizations; calculate a first representative signal strength value based on the selected portion of signal strength values; and determine a presence of the user based on whether the first representative signal strength value satisfies a threshold.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for mobile device attention detection. An example apparatus includes a mobile meter to receive, from an external device, a signal to gather user attention data, and transmit the user attention data. The example apparatus further includes an interval timer to activate a time period for determining attention of a user. The example apparatus further includes an attention determiner to generate the user attention data during the time period.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for mobile device attention detection. An example apparatus includes a mobile meter to receive, from an external device, a signal to gather user attention data, and transmit the user attention data. The example apparatus further includes an interval timer to activate a time period for determining attention of a user. The example apparatus further includes an attention determiner to generate the user attention data during the time period.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to determine whether audience measurement meters are co-located. An example apparatus is to, based on a difference between a first sampling time of a first entry of a first log and a second sampling time of a corresponding entry of a second log satisfying a first threshold, determine at least one matching instance of at least one first device identifier of the first entry and at least one second device identifier of the corresponding entry. Additionally, the example apparatus is to populate a variable with the at least one matching instance. The example apparatus is also to, based on a metric satisfying a second threshold, cause transmission of an alert indicating that a first meter and a second meter were co-located during generation of the first log and the second log, the metric based on the at least one matching instance.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to determine whether audience measurement meters are co-located. An example apparatus is to, based on a difference between a first sampling time of a first entry of a first log and a second sampling time of a corresponding entry of a second log satisfying a first threshold, determine at least one matching instance of at least one first device identifier of the first entry and at least one second device identifier of the corresponding entry. Additionally, the example apparatus is to populate a variable with the at least one matching instance. The example apparatus is also to, based on a metric satisfying a second threshold, cause transmission of an alert indicating that a first meter and a second meter were co-located during generation of the first log and the second log, the metric based on the at least one matching instance.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes interface circuitry to: obtain primary data from a first meter and a second meter, the primary data including at least one of: (a) acceleration data and (b) short-range wireless communication data; and obtain secondary data from the first meter and the second meter, the secondary data including at least one of: (a) location data and (b) audio data; comparator circuitry to: determine one or more primary factors based on the primary data, the primary factors to include at least one of a correlation coefficient or a difference in connected device sequences; determine one or more secondary factors based on the secondary data; and model executor circuitry to determine, based on the one or more primary factors and the one or more secondary factors, whether the first meter and the second meter correspond to duplicate wear.