December 2018 Issue Vol.8 No.12

Subodh Subedi
Master of Science
University of North Dakota, College of Engineering and Mines
Mechanical Engineering, Grand Forks, ND 58202, USA
Marcellin Zahui
Associate Professor
University of North Dakota, College of Engineering and Mines
Mechanical Engineering, Grand Forks, ND 58202, USA

Abstract: Abstract -- This article investigates the use of audio loop for mobility and orientation to help individuals with vision loss navigate streets, parks, and other public venues. The proposed Audio Frequency Induction Loop System for Orientation and Mobility (AFILSOM) is a comprehensive technology to assist visually impaired individuals when crossing a street at a street crossing or intersection. It can also be used in public venues such as airports. AFILS-OM is composed of a communication loop (CLoop) used for speech communication and a guide loop (G-Loop) to guide through street crossings or park trails using a cane equipped with a telecoil (T-Cane). The audio loop is achieved with electric wire or wires configured in a loop which can be concealed in concrete, pavement, building walls, under carpet, or inside ceilings. The loop replicates in form of electromagnetic waves any input signal to the loop driver to which it is attached. These signals can be picked up with a telecoil and used for communication or guide. The nature and reliability of the electromagnetic signals are clearly demonstrated in our laboratory experiments and computer simulations. This paper presents the feasibility concept of AFILS-OM and the supporting results from measurements and computer simulations.
Keywords:Visual Impairment, Hearing Loop, Orientation and Mobility, Blindness, Street crossing.

A Survey on Pre Processing Techniques for Static Human Facial Emotion Recognition
Ph.D Research Scholar,
Associate Professor & Head,
Department of Computer Science, Erode Arts and Science College(Autonomous),
Erode – 638009, Tamilnadu, India.

Abstract: Abstract— This research paper mainly focused on a various preprocessing techniques for human Facial Emotion Recognition. Now a days, Facial Emotion Recognition plays a major role in vast applications e.g. medical application such as security, psychological disorder problem, criminal identification, social needs like tutoring through computer. It needs a trained system for recognizing the human emotions like happy, sad, disgust, surprise, anger, neutral, etc,. The main problem in this research is accuracy. Preprocessing should be done for getting good accurate result. It normalizes the different ways of light illuminated images. Keywords:Pre Processing, Light illuminated image, Emotion Recognition, accuracy and normalization

Read complete January 2019

Read complete January 2019