Essentially, this paper goes through the types of gait recognition software that currently exist as well as the reliability of this software. There are a lot of different elements that influence a persons gait (like terrain, shoes, fatigue, etc.), which effects how well the software works. It's a pretty heavy read but it's really interesting if you want to just jump to a certain section and read in depth. This technology is very much out there and in development, and it is definitely being improved upon.
Also, even though this paper is a little bit older, it is still being cited in a lot of more recent research papers and I thought it would give a good enough grasp on the science for our purposes.
At a New York state elementary school, teachers can use a behavior-monitoring app to compile information on which children have positive attitudes and which act out. In Georgia, some high school cafeterias are using a biometric identification system to let students pay for lunch by scanning the palms of their hands at the checkout line.
Video camera surveillance, Biometric data collection (fingerprints), RFID Tags (monitors movement to within centimeters), Galvanic Skin Response Bracelet (monitors a child's physiological responses)