Researchers train AI to identify people from their footsteps

You've probably heard of fingerprint scans, iris scans, and perhaps even eye gaze scans, but what about foostep-based biometrics? New research published on the preprint server Arxiv.org Researchers at the Indian Institute of Technology in Delhi describe the system in a paper titled "Person Identification using Seismic Signals generated from Footfalls." It's based on a fog computing architecture, which employs edge devices to carry out much of the computing, storage, and communication involved in data collection. "[With our approach], individuals are only required to walk through the active region of the sensor," they wrote.