Gait recognition: a challenging signal processing technology for biometric identification

By Nikolaos V. Boulgouris, Dimitrios Hatzinakos, K. Plataniotis. IEEE Signal Processing Magazine, 2005

417 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/038ac349d0e0d6b2047d3e2e5a58e33841ef1206

How researchers see this paper

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

In Biomedical Engineering

1. Torkjel Søndrol
2. Davrondzhon Gafurov
3. Weijun Tao
4. Tao Liu
5. Hutian Feng
6. Rencheng Zheng
7. Kirsi Helkala
8. Gary M. Weiss

In Computer Vision and Pattern Recognition

1. Torkjel Søndrol
2. Davrondzhon Gafurov
3. Kirsi Helkala
4. Gary M. Weiss
5. Matjaz B. Juric
6. Sebastijan Sprager

In Human-Computer Interaction

1. Torkjel Søndrol
2. Davrondzhon Gafurov
3. Kirsi Helkala
4. Gary M. Weiss
5. Matjaz B. Juric
6. Sebastijan Sprager

Citations in the corpus

• Gait Analysis Using Wearable Sensors (2012, methodology): “For instance, in some types of sports training, the method is applied to recognize the faults in athlete performances so that they can improve [2–6].”
• Biometric Gait Authentication Using Accelerometer Sensor (2006, methodology): “Unlike model-free techniques, model-based approaches are, in general, view and scale invariant [28].”