A Novel Approach for HCI Using a MEMS Based Device

Author

Dhivya, P. ; Yugapriya, R. ; Thenmozhi, S. ; Kirubakaran, S.

Author_Institution

Bannari Amman Inst. of Technol., Erode, India

fYear

2014

fDate

6-7 March 2014

Firstpage

315

Lastpage

318

Abstract

The main objective of this paper is to introduce a MEMS based device for handwritten digit and hand gesture recognition applications. This MEMS based device consists of triaxial accelerometer, an atmega8 micro controller and a ZigBee wireless transmission module. The accelerometer is used to recognize hand movements. It converts the acceleration signals into analog voltage signals. The analog voltage signals will be converted into digital signals in atmega8 micro controller. The ZigBee module will transmit those signals to personal computer and it will be processed. Finally the digits will be displayed in PC monitor. Hence human computer interaction can be done in an easy manner similar to write in a notebook by using a pen.

Keywords

Zigbee; accelerometers; digital signals; gesture recognition; handwritten character recognition; human computer interaction; microcontrollers; micromechanical devices; HCI; MEMS based device; ZigBee wireless transmission module; acceleration signals; analog voltage signals; atmega8 microcontroller; digital signals; hand gesture recognition applications; hand movement recognition; handwritten digit recognition applications; human computer interaction; triaxial accelerometer; Acceleration; Accelerometers; Human computer interaction; Microcontrollers; Micromechanical devices; Monitoring; Zigbee; Accelerometer; Atmega8 Microcontroller; Human Computer Interaction (HCI); Zigbee;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing Applications (ICICA), 2014 International Conference on

Conference_Location

Coimbatore

Type

conf

DOI

10.1109/ICICA.2014.71

Filename

6965063