[HTML][HTML] J-LDFR: joint low-level and deep neural network feature representations for pedestrian gender classification

M Fayyaz, M Yasmin, M Sharif, M Raza - Neural Computing and …, 2021 - Springer
Appearance-based gender classification is one of the key areas in pedestrian analysis, and
it has many useful applications such as visual surveillance, predict demographics statistics …

Gender classification from inertial sensor-based gait dataset

RK Pathan, MA Uddin, N Nahar, F Ara… - … on Intelligent Computing …, 2020 - Springer
The identification of people's gender and events in our everyday applications by means of
gait knowledge is becoming important. Security, safety, entertainment, and billing are …

Annotation Contribution to Classification Accuracy of Person Identification Based Gait Biometric

SE Sukmana, HE Dien, DSE Ikawati… - … on Application for …, 2022 - ieeexplore.ieee.org
Annotation takes part in person identification based gait. Many studies use annotation in gait
analysis for person identification using silhouette technique. However, implementation of …

[图书][B] Human Gait Recognition Under Changes of Walking Conditions

L Yao - 2021 - search.proquest.com
Gait has been gathering extensive research interest for its non-fungible position in
applications, eg, security surveillance and forensic identification. First, it is difficult to …

GAIT based Automatic Human Gender Prediction.

B Abirami, TS Subashini… - … Online Journal of …, 2021 - search.ebscohost.com
As automatic gender prediction of a person is important in many social activities, a study and
analysis of human gait for automatically predicting the gender of a person is presented in …