Our research “Analysis of Spatio-temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks” has been widely covered in news agencies, original story:

http://www.manchester.ac.uk/discover/news/ai-footstep-recognition-system-could-be-used-for-airport-security/

Stories that followed:

Walk this way… through the security scanners

https://gizmodo.com/this-ai-knows-who-you-are-by-the-way-you-walk-1826368997

http://www.dailymail.co.uk/sciencetech/article-5782019/The-way-WALK-used-instead-fingerprinting-airport.html

https://finance.yahoo.com/news/artificial-intelligence-recognize-way-walk-010155074.html

Our IEEE TPAMI publication “Analysis of Spatio-temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks” has been selected for “InAbstract 2018: pick of the very best new research coming from the Faculty of Science and Engineering” Representing the school of EEE at the University of Manchester.

The top Journal IEEE TIE features the University of Manchester’s Faculty of Science and Engineering research regarding tomography and deep learning.

The University of Manchester news article regarding the best student paper award I received at the Sensors conference of 2016 held in Busan, South Korea.