Informatics Publishing Limited

Rajammal P. Devadas ¹, U. Kupputhai ¹, M. Dhanalakshmi ¹

Affiliations
1 Sri Avinashilingain Home Science College for Women, Coimbatore-641 011, IN

Abstract

Children constitute the most precious resource for a country, and must be given every opportunity to be mentally alert and physically strong.

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P. Angel Jenifer ¹, R. Nithya ¹, M. Dhanalakshmi ¹

Affiliations
1 Department of Bio-Medical Engineering, SSN College of Engineering, Chennai, IN

Abstract

Mobility is one of the major problems encountered by the visually impaired people in their daily life. So they need assistance for their mobility. The main aim of this project is to provide an economical smart travelling guide for the visually impaired. This device is designed in the way that it will detect the static obstacles, moving obstacles such as human and vehicles by the use of array of ultrasonic sensors and camera. Haar cascade classifier is used to detect the moving obstacles from the camera. The intimation about the obstacles are given to the visually impaired by the use of buzzer. Various devices are available in the market which are designed in a way that are to be held in the hands. The advantage of this project is to provide a smart travelling guide for the visually impaired with hands free environment.

Keywords

Visual Impairment, Ultrasonic Sensor, Camera, Haar Cascade Classifier, Moving Obstacle.

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Anbarasi Rajamohan ¹, R. Hemavathy ¹, M. Dhanalakshmi ¹

Affiliations
1 Department of B.M.E., Sri Sivasubramania Nadar College of Engineering, Chennai, Tamil Nadu, IN

Abstract

Communications between deaf-mute and a normal person have always been a challenging task. The project aims to facilitate people by means of a glove based deaf-mute communication interpreter system. The glove is internally equipped with five flex sensors, tactile sensors and accelerometer. For each specific gesture, the flex sensor produces a proportional change in resistance and accelerometer measures the orientation of hand. The processing of these hand gestures is in Arduino. The glove includes two modes of operation – training mode to benefit every user and an operational mode. The concatenation of letters to form words is also done in Arduino. In addition, the system also includes a text to speech conversion (TTS) block which translates the matched gestures i.e. text to voice output.

Keywords

Deaf-Mute, Communication, Gesture, Flex Sensor, Tactile Sensors, Accelerometer, TTS.

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