Real Time Hand Gesture Recognition for Human Machine Communication Using ARM Cortex A-8

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2

Abstract

 Abstract: A novel method proposes for human machine communication using ARM Cortex A-8 processor. Gesture is a form of non-verbal communication in which visible bodily actions communicate particular messages. A novel method proposes for human-machine communication via gesture. The real time system employs a USB web camera, Beagle board XM and HDMI Monitor. Web cam for capturing sequence of image to handle image recognition. Haar classifier used for object recognition was in real time gesture detector and working with only image intensities made the task. Beagle board XM for act as mini CPU which is interface to monitor. The board consists of ARM cortex-A8 Processor which is take real time video for capture gesture image to control mouse moment and implement its functions. Haar classifier there not continuous and not differentiable one to another signal.

Authors and Affiliations

Vignesh. S PG Scholar, , Mr. P. Saravanan.

Keywords

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  • EP ID EP110531
  • DOI 10.9790/0661-16294348
  • Views 126
  • Downloads 0

How To Cite

Vignesh. S PG Scholar, , Mr. P. Saravanan. (2014).  Real Time Hand Gesture Recognition for Human Machine Communication Using ARM Cortex A-8. IOSR Journals (IOSR Journal of Computer Engineering), 16(2), 43-48. https://europub.co.uk/articles/-A-110531