Project Info


Walk-In: A Biometric Security System based on Vibration Signals

Dejun Yang | djyang@mines.edu

Biometric security systems, e.g. fingerprint scanners and facial recognition, take advantage of the unique physical and behavioural characteristics that are intrinsically linked to an individual person and therefore cannot be easily compromised through theft, collusion or loss. However, they can be intrusive as both fingerprints and facial features are considered private. In addition, the cost of setting up new biometric systems can be significant, particularly where sophisticated software is introduced. The goal of this project is to design a biometric security system based on a person’s unique walking patterns measured using vibration sensors.

More Information

O. Costilla-Reyes, R. Vera-Rodriguez, P. Scully and K. B. Ozanyan, “Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 2, pp. 285-296, 1 Feb. 2019.

Grand Engineering Challenge: Secure cyberspace

Student Preparation


Qualifications

Self-motivated
Good programming skills
Knowing or be willing to learn signal processing techniques.
Not afraid of playing with simple hardware devices (e.g. https://www.sparkfun.com/products/11744) and mini computer boards, e.g. Arduino and Raspberry Pi.

Time Commitment

20-30 hours/month

Skills/Techniques Gained

Using geophones (e.g. https://www.sparkfun.com/products/11744) to collect vibration data
Basic signal processing techniques
Machine learning techniques
How to conduct research experiments

Mentoring Plan

1. Monthly or weekly meeting
2. Beside me, I will assign a grad student as a mentor as well.