Motion sensing hardware to detect smartphone imposters

Two researchers Professor Ruby B. Lee of Princeton University and Dr. Guangyuan Hu from SRC Research developed a AI semiconductor module based system to detect use of smartphone or any cell phone by a person other than the right user accessing the phone’s data and online information. This system's AI algorithms evaluate data from the phone’s motion sensors to analyse if the phone is being used by its rightful owner. This technology help prevent any imposters move and manipulate the phone in a different way than would its true owner. Data collected from the phone’s motion sensors, such as its accelerometer and gyroscope, can yield a profile of the rightful owner. Researchers claim this system is simple to implement and consume less energy compared to existing machine-learning algorithms. By using deep learning techniques, this module learns the phone owner’s behavior patterns at the edge/device without sharing user behaviour to cloud. The module can also be used in applications such as power grid, other cyber-physical systems and internet-of-thing (IOT) devices. It can detect anomalous behaviors by using hardware event counters built into processor rather than motion sensors. Their pioneering work is patented with title "Devices and methods for smartphone impostor detection using behavioral and environmental data" . This patent represents a significant advancement...