What is the system of data protection using hand gesture recognition? This system is a data protection system that uses hand gesture recognition to prevent unauthorized access to a device. A security and smart Internet of Things interaction system based on hand gesture recognition is in this work. Why is it important? Learn in this article.
System Of Data Protection Using Hand Gesture Recognition
The main idea of this system is to use the human body as a security device for the identification of the employee of a company with his/her identity card. Also, the main objective of this system is to provide security, privacy, and ease-of-use features in this world.
This system protects by incorporating hand gesture recognition technology to provide high security and protection against unauthorized access. And it also provides a platform for the development of new applications that can be in various companies and organizations.
The human body is always an excellent authentication method. The uniqueness of each person’s fingerprint pattern makes it possible to authenticate people.
But the problem is that this authentication method is a little hard to handle, as it is inconvenient to use and needs to be frequently renewed. On the other hand, the use of hand gestures as an authentication method is a convenient method that will be in the future.
The application of this method can be in the field of smartphones that take advantage of this method to unlock the device. This system has these two advantages compared with biometric authentication.
Model
The proposed system uses machine learning algorithms to build a model for hand gesture recognition and then later it will be possible. Also, it is to recognize this hand gesture from the real user.
The main algorithm that is used in this system is Gaussian Mixture Model. This algorithm is to identify a hand gesture from a set of images that are by a camera and then it is to recognize the user’s hand gesture.
In this system, two types of training will be conducted. The first training is to train the system model by using images of various hand gestures.
And the second training will be to train the system model by using images that contain the hands and fingers of the same person.
In this way, it will be possible to create a model that can distinguish between these two types of images. Also, this system provides privacy protection and security protection features to prevent unauthorized use of the system.
In addition, the accuracy of the system will be taking into account the time and location of the user.
Tracking System
This system is an indoor localization system based on wireless sensor networks (WSNs). It is a location tracking system that consists of miniature wireless sensors placed in indoor environments of buildings, offices, and industrial facilities for the detection of nearby persons, mobile objects, and vehicles.
Today, there are many applications for this localization technology. For example, it may be for tracking patients with health care problems at home, monitoring workers who work at night or in dangerous areas, and detecting people.
Conclusion
In this paper, a system of data protection using hand gesture recognition is proposed. This system uses hand gesture recognition to prevent unauthorized access to a device. Also, it provides security, privacy, and ease-of-use features in this world.