With the growing popularity of biometrics technology in the pattern recognition field,
especially identification of human has gained the attention of researchers from both …

Gender classification plays an important role in many applications such as security and
medical applications. Human gender can be classified using different biometric techniques …

Orientation tracking of a moving object has a wide variety of applications, including but not
limited to military, surgical aid, navigation systems, mobile robots, gaming, virtual reality, and …

This paper presents gait recognition based on human skeleton and trajectory of joint points
captured by Microsoft Kinect sensor. In this paper Two sets of dynamic features are extracted …

Gender classification based on gait is a challenging problem because humans may walk in
different directions at different speeds and with varying gait patterns. The majority of …

PerFication is a person identification technique that uses a 2D LiDAR sensor in a
customized dataset KoLaSu (Kobayashi Laboratory of Saitama University). Video-based …

This study investigates a novel three-dimension gait recognition approach based on
skeleton representation of motion by the cheap consumer level camera Kinect sensor. In this …

Gait recognition is an important type of biometric that aims to recognize human gait based
on their walking style. This paper takes advantage of the Microsoft Kinect sensor to get in …

This paper presents a new algorithm for human gait recognition based on Spatio-temporal
body biometric features using wavelet transforms. The proposed algorithm extracts the Gait …

The reliable extraction of gait features from image sequences is an important issue in gait
recognition. This paper presented a simple, but efficient approach to extract gait feature. A …