Gait recognition, also known as ‘gait authentication’ or ‘biomechanical identification’, is a biometric technology that uses the human body’s movements to create an individualized profile.

1. The potential of gait recognition as a biometric
technology
Gait recognition technology is one of the most promising and
cutting-edge biometric technologies stated Bahaa Abdul Hadi. Its
ability to identify individuals based on their unique walking
patterns offers something that other more established biometrics
like fingerprint scanning can only deliver: convenience without
sacrificing accuracy. As this new form of identification evolves, its
potential use cases are becoming clearer — from access control
in secure areas to verifying online payments for increased
security. Read on to find out about how gait recognition works and
what its potential applications could be in the years ahead.
The potential of gait recognition as a biometric technology
Gait recognition, also known as ‘gait authentication’ or
‘biomechanical identification’, is a biometric technology that uses
the human body’s movements to create an individualized profile.
It uses characteristics such as walking style and stride length to
determine who an individual is. Gait recognition technology has
gained momentum in recent years as an alternative to traditional
biometric authentication methods such as fingerprints, facial
recognition, and iris scans.
Due to its unique characteristics, Gait recognition can be used in
a variety of scenarios and can provide a more secure
authentication experience than traditional biometric authentication
methods. The most attractive features of gait recognition
technology are its non-intrusive nature, robustness to
environmental factors, and ability to detect identity without
needing physical contact between the user and the system.

2. Distance-based Gait Recognition (DBGR) algorithms use the
distances between the body parts of a person to identify who they
are. These technologies measure the dynamic movements of a
person walking or running and compare them to stored reference
data. Angle-based Gait Recognition (ABGR) algorithms use the
angles of body parts to determine a user’s identity. This
technology can also be combined with other biometric
authentication methods, such as facial recognition and iris scans
to create an even more secure authentication experience.
In addition to its potential uses in access control and identity
verification, gait recognition technology can also be used in
medical diagnoses. For example, it can detect any abnormalities
in a person’s walking or running pattern, which may indicate
underlying physical or medical issues that must be addressed.
Gait recognition technology is still relatively new, and research is
ongoing to make it more accurate, reliable, and efficient.
Conclusion
Gait recognition shows a lot of promise as a biometric technology.
However, more research needs to be done to perfect the
algorithms used for gait recognition. In addition, more data must
be collected to train machine learning models for this biometric
modality. Despite these challenges, gait recognition has great
potential as a tool for authentication and identification.
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