Ervin Dobler

Title: Ervin Dobler: Innovator in Gesture Recognition Technology

Introduction

Ervin Dobler is a notable inventor based in Hajos, Hungary. He has made significant contributions to the field of gesture recognition technology. His innovative approach has led to the development of a unique method and system for gesture category recognition and training.

Latest Patents

Ervin Dobler holds a patent for a "Method and system for gesture category recognition and training using a feature vector." This invention describes a computer-implemented method that allows a computer system to accept input data in the form of gesture data. The gestures can be performed using various cursor directing devices, such as a mouse, trackball, or electronic stylus. The system records mouse position information and timestamps to determine a multi-dimensional feature vector based on the gesture data. This feature vector is then processed through a gesture category recognition engine, which utilizes a radial basis function neural network to associate the vector with a pre-existing gesture category. The invention also allows for user training, enabling the programming of user-defined gestures and their associated commands into the computer system.

Career Highlights

Ervin Dobler is currently associated with Mindmaker, Inc., where he continues to develop innovative solutions in the realm of gesture recognition. His work has garnered attention for its potential applications in various fields, including user interface design and human-computer interaction.

Collaborations

Ervin Dobler collaborates with Jozsef Kiraly, contributing to the advancement of technology in gesture recognition. Their partnership has been instrumental in refining the methods and systems developed by Dobler.

Conclusion

Ervin Dobler's contributions to gesture recognition technology exemplify the innovative spirit of modern inventors. His patent and ongoing work at Mindmaker, Inc. highlight the importance of gesture-based interactions in the digital age.