Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate audience metrics for connected television. An example system includes at least one memory, programmable circuitry, and instructions to cause the programmable circuitry to obtain media access data corresponding to connected television media and a user identifier corresponding to a media access device, generate, using a machine learning model, probability values for corresponding audience demographics in a household composition corresponding to the user identifier, the probability values indicative of likelihoods that corresponding ones of the audience demographics are accessing the connected television media, determine a person-level characteristic based on the probability values of the audience demographics, the person-level characteristic corresponding to an audience member of the connected television media, and assign the media access data to the person-level characteristic.

Abstract: A vein locator comprises an energy source for directing incident energy toward organism tissue. At least a portion of the incident energy is reflected from structures within the organism tissue as reflected energy. The vein locator comprises an energy detector connected to detect energy reflected from the organism tissue. The incident energy is moved across a scan region a first time and the energy detector produces a corresponding first signal representative of at least one characteristic of the first reflected energy. A controller receives the first signal, identifies an extremum in the first signal and determines a threshold level based on the identified extremum. The incident energy is then moved across the scan region a second time and the energy detector produces a corresponding second signal representative of at least one characteristic of the second reflected energy.