USING WIFI-SIGNAL BASED, DEVICE-FREE HUMAN PRESENCE DETECTION TECHNOLOGY TO IDENTIFY HUMANS CONSUMING MEDIA CONTENT
A computer-implemented method includes detecting a presence of a subject in a vicinity of radio transceivers based on radio signal strength variations received at an input of the radio transceivers as a radio signature, so as to recognize the presence of the subject in an indoor environment by analyzing and quantifying irregularities in the radio signature, wherein the detecting the presence does not incorporate sensors for subject detection, and only performs the detecting based on radio irregularity phenomenon, without modifying the indoor environment; and mixing the detected presence of the subject with viewership datasets derived from an audience measurement source, to generate rich result datasets that provide insights on media exposure at a personal and household level, and to assign personal viewership insights to the household audience observation, without sacrificing personal privacy of the subject, and without requiring additional hardware or detection signals.
1 . A computer-implemented method, comprising:
detecting a presence of a subject in a vicinity of one or more radio transceivers based on one or more radio signal strength variations received at an input of the one or more radio transceivers as a radio signature, so as to recognize the presence of the subject in an indoor environment by analyzing and quantifying irregularities in the radio signature, wherein the subject is categorized into one of an adult, a child, or a pet;
wherein the detecting the presence does not incorporate one or more sensors for subject detection, and only performs the detecting based on radio irregularity phenomenon, without modifying the indoor environment, and further wherein the one or more radio transceivers comprises a Wi-Fi signal transceiver that can be part of a Wi-Fi powered device in the indoor environment; and
mixing the detected presence of the subject with viewership datasets derived from an audience measurement source, to generate rich result datasets that provide insights on media exposure at a personal and household level, and to assign personal viewership insights to the household audience observation, without sacrificing personal privacy of the subject, and without requiring additional hardware or detection signals.