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1. ANDROID basedon Embedded System
ANDROID-BASED NAVIGATION SYSTEM FOR ELDERLY
PEOPLE IN HOSPITAL
ABSTRACT
Embedded Technology is now in its prime and the wealth of knowledge
available is mind-blowing. However, most embedded systems engineers have a
common complaint. There are no comprehensive resources available over the
internet which deals with the various design and implementation issues of this
technology. Intellectual property regulations of many corporations are partly to
blame for this and also the tendency to keep technical know-how within a
restricted group of researchers.
The uses of embedded systems are virtually limitless, because every day
new products are introduced to the market that utilizes embedded computers in
novel ways. In recent years, hardware such as microprocessors, microcontrollers,
and FPGA chips have become much cheaper. So when implementing a new form
of control, it's wiser to just buy the generic chip and write your own custom
software for it. Producing a custom-made chip to handle a particular task or set of
tasks costs far more time and money.
Many embedded computers even come with extensive libraries, so that
"writing your own software" becomes a very trivial task indeed. With the increase
in the number of elderly people, a guidance system that can be used for medical
examination in hospitals becomes to attract attention.

2. ANDROID basedon Embedded System
As a position estimation technology for indoor guidance, a Wi-Fi
positioning system has been studied. However, Wi-Fi radio waves are not available
in the hospitals because that affect operations of medical equipment.
PROPOSED SYSTEM
We propose a new real-time indoor guidance system using Personal Handy-
phone System (PHS) and Android device for visitors in hospitals. Our proposed
system utilizes a combination of Received Signal Strength Indication (RSSI) of
PHS and Dead Reckoning based on sensors of an Android device in order to
estimate a user's indoor position without affecting operation of medical equipment.
Through the experimental evaluation, we have clarified that the proposed system
has successfully guided subjects to the destinations with accuracy of 93.3[%].
BLOCK DIAGRAM
1. RECEVING END
1.1.1 ROOM 1
1.1.2 ROOM 2
UARTBLUETOOTH
RECEIVER
PC
UARTBLUETOOTH
RECEIVER
PC

3. ANDROID basedon Embedded System
1.2 TRANSMITTING END
HARDWARE REQUIREMENTS
 MICROCONTROLLER
 UART
 BLUETOOTH
 PC
 MEMS
 ADC
SOFTWARE REQUIREMENTS
 KEIL COMPILER
 PROTEUS SOFTWARE
UART
BLUETOOTH
TRANSMITTER
MICRO
CONTROLLER
ADC
MEMS