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AUTOMATED VOICE BASED HOME NAVIGATION SYSTEM FOR THE ELDERLY AND THE PHYSICALLY CHALLENGED


ABSTRACT
In this paper, we propose an Intelligent Home Navigation System (IHNS) which comprises of a wheelchair, voice module and navigation module. It can be used by an elderly or physically challenged person to move inside the home without any difficulty.
It's common that the elders forget the way to the different rooms in house and the physically challenged people find it hard to move the wheel chair without external aid. By making use of IHNS, elderly and the physically challenged can go to different rooms in the house like kitchen, living room, dining room etc by just speaking a word which is predefined to that particular room.
The voice of the person is detected by voice capture module which will be compared by voice recognition module with predefined voices loaded in to the system. According to the received voice, the destination is automatically understood and the wheelchair moves according to the route which is predefined.
It is also equipped with obstacle avoidance technique, where the person may not be able to provide proper voices at the right time. The wheel chair can automatically navigate from one point to the other in the home as per predefined route based on the voice received. Thus the above proposed system can be used by elderly and physically challenged people in day to day life even if they are alone at home.

Automated Voice based Home Navigation System for the Elderly and the Physically Challenged


Abstract

this paper, we propose an Intelligent Home
Navigation System (IHNS) which comprises of a wheelchair,
voice module and navigation module. It can be used by an elderly
or physically challenged person to move inside the home without
any difficulty. It’s common that the elders forget the way to the
different rooms in house and the physically challenged people
find it hard to move the wheel chair without external aid. By
making use of IHNS, elderly and the physically challenged can go
to different rooms in the house like kitchen, living room, dining
room etc by just speaking a word which is predefined to that
particular room. The voice of the person is detected by voice
capture module which will be compared by voice recognition
module with predefined voices loaded in to the system.

INTRODUCTION

The most common image of disability is the people in
wheelchairs. Wheelchairs are used by people who find
themselves unequipped to move without external aid. The
special needs of the elderly may differ from that of a physically
challenged person or a large individual but they all
have “special needs” and often require some assistance to
perform their daily routine as shown in [1]. The required
assistance may be due to ageing, physical limitations, medical
conditions or other issues. The physically challenged people
who use a normal wheelchair for navigation, usually requires
an external person to move around. In this busy world, the
elderly people may be left alone at home and also may not find
an apt person for external help. Here comes the need of an
automated home navigation system.

PROBLEM DEFINITION

The elderly and the physically challenged people find it
tough for locomotion without the help of external aid. Studies
have shown that until quite recently disabled people were
socially isolated. Whether their condition was physical,
emotional or mental, all met the same attitudes. They were kept
off from social gatherings because they needed special
attention or people to take care of them. These miserable
conditions made us think of bringing out a system which
include personal security features and can be used by these
misfortunate people so that they can navigate easily and
without external aids.

. RELATED WORKS

Ref. [3] discusses about a Grey-Fuzzy Decision-Making
(GFD) algorithm based fuzzy logic theory to avoid potential
accidents in wheelchairs. It discusses about an algorithm to
predict the slippage of electric wheelchairs. Ref. [4] discusses a
gesture based wheelchair, which makes use of the ultrasonic
sensors to avoid obstacle avoidance in crowd. Ref. [5]
discusses the defects of ultrasonic sensors and its usage defects
in crowd. Ref. [6] discusses a navigation system which makes
use of sonar maps to get location identity. It makes use of the
conventional joystick control wheelchairs.

EXPERIMENTAL RESULTS

The hardware setup of the proposed IHNS is shown in
Figure 5. The real time testing of the demo wheelchair was
done and the response time of the system upon recognition of
proper voice was calculated. We calculated the response time
of the Arduino assuming that the digital outputs from the voice
recognition module was received. Upon receiving the
commands, the Arduino board controls the motors to move in
the intended direction. The Arduino uses ATmega168
microcontroller as its core. It has 14 digital I/O pins, 6 analog
inputs, 16 MHz crystal oscillator, a USB connection and a
power jack. It can transmit and receive TTL serial data. It also
has SPI and I2C interfaces. The Arduino board can be powered
up using USB in standalone mode.

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