A system and method in which a TV signal reception device (e.g., set top box) receives a broadcast signal, sends the broadcast signal to a TV, and sends an event signal to a rating statistics information server or associated user terminal when a predetermined condition occurs, to ultimately cause an associated user terminal to generate fingerprint data of audio from the TV and to provide the fingerprint data to the server so as to facilitate channel identification and generation of ratings statistics.

A system and method in which a TV signal reception device (e.g., set top box) receives a broadcast signal, sends the broadcast signal to a TV, and sends an event signal to a rating statistics information server or associated user terminal when a predetermined condition occurs, to ultimately cause an associated user terminal to generate fingerprint data of audio from the TV and to provide the fingerprint data to the server so as to facilitate channel identification and generation of ratings statistics.

Methods and systems for automatically transitioning content based on facial recognition, wherein the method may include receiving a signal from a camera, identifying a face of a viewer within an area, retrieving a user identifier associated with the face of the viewer, selecting a program, and displaying the program.

Methods and systems for automatically transitioning content based on facial recognition, wherein the method may include receiving a signal from a camera, identifying a face of a viewer within an area, retrieving a user identifier associated with the face of the viewer, selecting a program, and displaying the program.

Methods, apparatus, and systems to collect audience measurement data are disclosed. An example system includes at least one non-transitory machine readable storage medium including instructions which, when executed, cause a machine to at least: generate behavior data developed during a first time period based on first media data and user data corresponding to one or more users of a household, the user data to include demographic information for the one or more users associated with the household, identify second media data during a second time period different than the first time period, the second media data identified without identification of the one or more users of the household, and associate the demographic information to the second media data based on the behavior data generated during the first time period associated with the one or more users.

Methods, apparatus, and systems to collect audience measurement data are disclosed. An example system includes at least one non-transitory machine readable storage medium including instructions which, when executed, cause a machine to at least: generate behavior data developed during a first time period based on first media data and user data corresponding to one or more users of a household, the user data to include demographic information for the one or more users associated with the household, identify second media data during a second time period different than the first time period, the second media data identified without identification of the one or more users of the household, and associate the demographic information to the second media data based on the behavior data generated during the first time period associated with the one or more users.

Example meters disclosed herein include a user interface to accept user input in response to activation of a prompting indicator. Disclosed example meters also include a controller to control a light projector to project light onto a first projection area of a surface, the light projector activated in association with the activation of the prompting indicator. In some examples, the controller is also to control the light projector to project light onto a second projection area of the surface in response to expiration of a time period without receipt of any user input responsive the activation of the prompting indicator.

Example meters disclosed herein include a user interface to accept user input in response to activation of a prompting indicator. Disclosed example meters also include a controller to control a light projector to project light onto a first projection area of a surface, the light projector activated in association with the activation of the prompting indicator. In some examples, the controller is also to control the light projector to project light onto a second projection area of the surface in response to expiration of a time period without receipt of any user input responsive the activation of the prompting indicator.

A system for quantifying viewer engagement with a video playing on a display includes at least one camera to acquire image data of a viewing area in front of the display. A microphone acquires audio data emitted by a speaker coupled to the display. The system also includes a memory to store processor-executable instructions and a processor. Upon execution of the processor-executable instructions, the processor receives the image data and the audio data and determines an identity of the video displayed on the display based on the audio data. The processor also estimates a first number of people present in the viewing area and a second number of people engaged with the video. The processor further quantifies the viewer engagement of the video based on the first number of people and the second number of people.

A system for quantifying viewer engagement with a video playing on a display includes at least one camera to acquire image data of a viewing area in front of the display. A microphone acquires audio data emitted by a speaker coupled to the display. The system also includes a memory to store processor-executable instructions and a processor. Upon execution of the processor-executable instructions, the processor receives the image data and the audio data and determines an identity of the video displayed on the display based on the audio data. The processor also estimates a first number of people present in the viewing area and a second number of people engaged with the video. The processor further quantifies the viewer engagement of the video based on the first number of people and the second number of people.