The Nielsen Comapny (US), LLC

Girish Khavasi

Kenneth Albert Hennacy

An example method is for use in connection with a media device and a motion-detecting device mounted to the media device, and includes: obtaining motion data associated with the motion-detecting device; providing the obtained motion data to a trained classifier, wherein the trained classifier is configured to use at least motion data as runtime input data to generate at least device type data as runtime output data; responsive to providing the obtained motion data to the trained classifier, receiving from the trained classifier corresponding device type data generated by the trained classifier; using at least the received device type data to identify a device type of the media device; using at least the identified device type of the media device as a basis to select a set of configuration parameters for the motion-detecting device; and causing the motion-detecting device to be configured according to the selected set of configuration parameters.

Computing system with motion-detecting device configuration feature

Example methods and apparatus to measure exposure to broadcast signals having embedded data are disclosed. Example meters disclosed herein are to decode a watermark from a first audio signal to obtain an identifier of a broadcast station, and query a data structure based on (i) the identifier of the broadcast station obtained from the watermark and (ii) a location, the query to obtain a transmission frequency of a broadcast signal corresponding to the audio signal. Disclosed example meters are also to tune a radio to the transmission frequency of the broadcast signal, and compare the first audio signal with a second audio signal from the radio to verify an identity of the broadcast station.

Methods and apparatus to measure exposure to broadcast signals having embedded data

Methods, apparatus, systems and articles of manufacture are disclosed for watermark outage detection. Example methods include evaluating an onset time and duration of a detected watermark outage based on a model of expected watermark outages to determine whether the detected watermark outage corresponds to at least one of the expected watermark outages represented in the model. Example methods further include generating an alert in response to determining the detected watermark outage does not correspond to at least one of the expected watermark outages included in the model, and suppressing the alert in response to determining the detected watermark outage corresponds to the at least one of the expected watermark outages represented in the model.

Methods and apparatus for watermark outage detection

Example methods and apparatus to measure exposure to broadcast signals having embedded data are disclosed. An example broadcast signal exposure meter includes a first decoder to obtain an identifier of a broadcast station from an audio signal output by an end user broadcast receiver, a radio to tune to a broadcast signal from the broadcast station associated with the identifier of the broadcast station, a second decoder to obtain embedded data from the broadcast signal, the embedded data representing media contained in the broadcast signal, and an interface to provide the embedded data to a server, the server to determine audience measurement information for the media based on the provided embedded data.

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Lake Hiawatha, NJ, United States of America

Girish Khavasi