Daniel Oberhaus reports:
With the Internet of Things slated to have tens of billions of connected devices by 2020, one of the most crucial design considerations for internet-connected products is figuring out how to seamlessly integrate these devices into everyday life. In this respect, teaching machines how to identify the individuals they are interacting with is paramount—it will allow for the total personalization of everything that is promised by the IoT. Rather than just having internet-connected light bulbs and refrigeratorsthat are sitting around waiting to get hacked, these devices will be able to recognize you and interface with you according to your preferences (something that devices like the Xbox One are already doing via facial recognition).
So far there have been a number of proposed methods for integrating human identification into smart objects, ranging from the creepy and invasive (think RFID chip implants or facial recognition) to the limited and cumbersome (like fingerprint scanners). In the quest for a non-invasive yet ubiquitous mode of human identification, a team of researchers from Northwestern Polytechnic University figured out a way to use WiFi signals to ID individuals moving around in a room—with an ID accuracy upwards of 90 percent.
Read more on Motherboard.
h/t, Joe Cadillic