In rece years, technological developmes have occurred at a remarkable pace, and this has led to the use of various patterns in the autheication process. One of the newest biometric systems for ideifying people is autheication through walking pattern, which ideifies people using features such as stride length. This method is not very common compared to other biometric ideifiers such as fingerpri, face recognition, iris recognition and palm recognition and still remains unknown to many people. Therefore, in this article, we will examine biometric recognition through walking and how it works.
What is biometric gait recognition?
Gait detection is one of the biometric methods that autheicates people using physiological characteristics such as stride length, stride frequency, and stride pressure. These features are completely differe and unique in each person and today they have become one of the biometric ideifiers. This biometric autheication system was developed for the first time by researchers from Manchester and Madrid universities. In this method, people walk on a pad that is placed on the floor for ideification, and their walking pattern is recorded.
One of the most obvious advaages of this method is no need to remove the shoes, which allows the ideification of features with the presence of shoes. According to the research of Omar Kostila Reiz, who is the leader of the research in the field of ideifying the ideity of people through the walking pattern, each person shows about 24 unique characteristics while walking, which leads to the extraction of a specific walking pattern. He helps. Walking pattern recognition is known as one of the most effective methods to increase security in military and security organizations, because its accuracy is very high.
Biometric gait recognition steps
The method of biometric walking detection, similar to other biometric ideifiers, includes several steps as follows:
1. Data collection
In the first step, biometric data is examined and collected. Gait detection data includes features such as step length, step frequency, and foot pressures. These features are used as collected data in the next steps.
2. Data preprocessing
The data collected in the pre-processing stage means the extraction of key features and the removal of noises, which in a way causes the standardization of the data. After this step, the data is stored in the system and used to ideify people.
3. Comparison and matching of data
By walking on the pad, people provide their biometric information to the system to be compared with existing patterns. Each person’s data is carefully matched with the patterns stored in the system to confirm his ideity if there is a similarity.
Advaages of biometric gait recognition technology
The use of biometric gait recognition technology has many advaages, including the following:
Increased security
Walking pattern recognition is one of the most effective ways to increase and improve security. This technology is used in airports, military organizations, security institutions and banks as an ideal option to provide security and help preve fraud and fraud. In addition, this technology is able to ideify people who have committed crimes and report their presence to institutions such as banks. Also, this method is used to ideify criminals and terrorists and is used in judicial systems. By using this technology, it is possible to preve unauthorized people from accessing the privacy of users and increase the level of security.
Reducing human ieraction
In this technology, all steps are completely performed by artificial ielligence and automatically; Therefore, the need for manpower is minimized. Also, coact and direct ieraction between people will not be necessary. This feature helps to comply with health protocols and makes it one of the best biometric methods for sensitive and medical ceers.
High accuracy
Human gait characteristics are completely unique and no two individuals can be found with similar moveme characteristics. Also, due to the high variety of these characteristics during moveme, it is not possible to fake them and each person has his own moveme pattern. Therefore, ideifying users through this biometric method is done with very high accuracy, and by observing the movemes, the user can be ideified.
Challenges of biometric gait recognition technology
This ideity ideification method faces two main challenges: change in the direction and angle of walking and change in the person’s appearance. These problems arise for various reasons, such as changing clothes or carrying bags and other items, and can affect the performance of ideity recognition. However, solutions are being developed to deal with these challenges that can solve these issues by using artificial ielligence algorithms.
Application of biometric gait recognition technology
As meioned, gait pattern recognition is not very common, but it has many applications and is used in ideifying people in airports, offices and many other places. Based on the research, this method has been able to fully ideify people in differe environmes. Among the most importa applications of biometric recognition through walking, the following can be meioned:
1. Law enforceme
In judicial systems, biometric ideification such as gait pattern recognition is used to match data with people’s ideities. For example, this method is used to increase security at borders and other places to ideify criminals.
2. Healthcare services
People use this biometric ID to verify their ideity in medical ceers such as hospitals, pharmacies and clinics in order to benefit from health and governme services.
3. Security
Biometric gait detection is significaly effective in preveing unauthorized access to computer systems and networks. This method helps to solve problems such as forgetting password and card and preves theft and forgery of these items.
4. Commercial goods
People can use this biometric system to access services and verify ideity in various businesses such as restauras, sports organizations, retail stores, etc.
summary
Walking pattern detection is one of the biometric methods to ideify people’s ideity, which we have investigated and explained in this article. This method is known as an effective tool to verify ideity and increase security in differe environmes. Although this method has not been widely used yet, due to its significa advaages, it is expected that it will become more popular and its application will increase in the future.
