Open AccessSign Sequence based Gesture Recognatiton Using MEMS Accelerometer for Augumentad Reality Applications
Author(s) -
C. Karthick,
T. Vino,
Kishore Surendra,
Leila Reddy
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/590/1/012039
Subject(s) - gesture , accelerometer , computer science , gesture recognition , python (programming language) , microelectromechanical systems , human–computer interaction , artificial intelligence , computer vision , programming language , operating system , physics , quantum mechanics
The Increase in Human Machine Interactions in our daily life is getting important day by day. Physical gesture will greatly ease the interaction process and enable humans to more naturally command the machinery like computers. In this hand gestures are mostly used as the control mechanism in virtual reality. To ease these physical gestures MEMS accelerometer can be used which can recognize the several hand gestures. In the real world the physical gesture machinery control is already in existence such as vision system or data glow but these are relatively expensive. By the usage of MEMS, the cost can be reduced and method can be implemented more effectively. This project deals with an accelerometer-based gesture recognition application. This application consists of a tri-axial accelerometer and same is connected to raspberry pi through wire. The triaxial accelerometer measures the acceleration signals generated by a users hand motions to identify the character. The code for application program in raspberry pi is written using python programming language. The text is displayed on the monitor of the PC.