Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …

The past decade has witnessed a rapid proliferation of video cameras in all walks of life and
has resulted in a tremendous explosion of video content. Several applications such as …

Gait analysis provides a convenient strategy for the diagnosis and rehabilitation assessment
of diseases of skeletal, muscular, and neurological systems. However, challenges remain in …

Gait is a unique biometric feature that can be recognized at a distance; thus, it has broad
applications in crime prevention, forensic identification, and social security. To portray a gait …

This paper proposes a method of gait recognition using a convolutional neural network
(CNN). Inspired by the great successes of CNNs in image recognition tasks, we feed in the …

The scientific literature on automated gait analysis for human recognition has grown
dramatically over the past 15 years. A number of sensing modalities including those based …

Existing gait recognition approaches typically focus on learning identity features that are
invariant to covariates (eg, the carrying status, clothing, walking speed, and viewing angle) …

This paper describes the world's largest gait database-the “OU-ISIR Gait Database, Large
Population Dataset”-and its application to a statistically reliable performance evaluation of …

Human gait is a periodic motion of body segments—the analysis of motion and related
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …

The need for more security on mobile devices is increasing with new functionalities and
features made available. To improve the device security we propose gait recognition as a …