Automated person recognition by walking and running via model-based approaches

By Chew-Yean Yam, MS Nixon, J. Carter. Pattern Recognition, 2004

392 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Cell phone-based biometric identification (2010, methodology): “[4] used machine vision-based approaches to examine both running and walking movement for biometric identification, but our work goes further in that we analyzed four activities.”
Identifying users of portable devices from gait pattern with accelerometers (2005, neutral): “The performance of the new method presented here is at the same level or even better than those achieved by video based gait recognition in recent studies, which report correct (rank 1) results between 72% and 88% [5, 7, 18 , 19].”