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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2850
HUMANOID ROBOT FOR ELDERLY AND CHILD GUIDANCE
Indhu Subramanian1, Kirthika Amalya Mol Nandakumar2, Malathy Mani3, K. Sobana4
1,2,3Student, Department of ECE, Valliammai Engineering College, Tamil Nadu, India
4Assistant Professor, Department of ECE, Valliammai Engineering College, Tamil Nadu, India
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - In recent time’s robotics have gained increased
importance for human assistance and guidance in manyAsian
countries. Among these the therapeutic robotic systems for
health care monitoring using sensor framework have taken
diverse forms. Extending this idea and providing advanced
design which is portable, consumes less power, furnished with
comprehensive judgment ability, responsiveness and memory
could help in elderly guidance and child guidance. The above
mentioned specifications canbeachievedthroughahumanoid
robot. The system proposed through this paper is based onthe
working principles of a humanoid robot (HNR). The system
can operate on 3 modes, Tracking, Monitoring and General. It
consists of Arduino Mega 2560 micro controller and takes
input from IR sensors to control motion tracking. PIR sensors,
camera (here we take input from mobile camera) and GSM
modem act as input for monitoring, it uses Bluetooth module
for home automation. Further the model also provides voice
recognition, live streaming and remote shuttering from the
emergency contact end. The system is powered up by
rechargeable Lithium-ion batteries and it is portable.
Firmware is programmed using Embedded C language
.Therefore the main objective of the project is to produce a
fully automated, reliable, responsivecognitiverobotforelderly
and child guidance with cost effective and low power
consuming hardware.
Key Words: Humanoid robot, Comprehensive Judgment
Ability, Responsiveness, Motion Tracking, Voice
Recognition, Live streaming, Portable.
1. INTRODUCTION
The exponential increase of the number of nuclear families
in India has acted as the cause of two important problems,
elderly (here denoting to the people above the age of 60)
care and child (here denoting to the children between the
age of 5 to 10) care. According to the statistical reports
provided by The United Nations Population Fund (UNPFA),
the elderly population in India has increasedfrom77million
in 2001 to 104 million in 2011. By 2050 it is likely to
increase by three times to reach around 300 million
accounting to 20 percentage of the total population of the
country. But bitterly there are nosufficienthumanresources
to provide the care required for these elders. Supporting to
the above statement almost 60% families were reported to
have both spouses employed and also there is a projected
shortfall of 380,000 of specialized custodians by 2025.
Secondly unaccompanied children also have security issues
which have to be addressed. Thus this brings in a need for
robots to assist the wants of the solitary elders and children.
1.1 Problems in using an HNR
Humanoids can assist with connectivity and monitoring.
Never the less they can’t replace humans. While human
caring has been a human-to-human relationship, in the case
of HNRs it is a nonhuman-to-human relationship,thereforeit
is essential to consider ethical concerns and human safety.
For HNRs to support elders and children directly, they must
have same level of comprehensive judgment ability and
responsivenessas that of human custodians.IfHNRssupport
the subjects independently, abilities which are much like
those of humans will be required in them in addition to the
appropriate intelligence and skilfulness to do so.
1.2 Goals
In the previous few years, robotic assistants were
successfully used in many fields like hospitals, where they
perform a variety of functions like custodian services,
educate, or entertain.Robots haveconjointlybeendeveloped
for guiding blind individuals. Time is ripe to leverage this
technology into the lives of elderly people and children
between ages 5 to 10, where theneedforpersonal assistance
is larger than in any other age group. Thisprojecttakesideas
from initial results obtained by Flo, the robot. The goal of
this project is the development of personal robotic assistant
that serves three primary functions:
A. Achieving similarity to human cognition: A huge
fraction of the elderlypopulationsuffersfromvarying
degrees of dementia. The inability to remember can
have severe consequences.Forexample,subjectsmay
forget to take medicine. This results in shifting the
patient to a nursing home for human assistance.
Reminding is an important (and time-consuming)
activity.
B. Affording protection: Leaving elders who are
physically weak and with high dementia alone at a
private home can act risky. For example, if the elder
accidentally falls down and if it is left unnoticed by
others, dreadful consequences up to an effect of the
person’s death can occur. Thus loss of stability is
acting as a potential risk. By decreasing such risks
through methodical monitoring and protecting, the
movement into nursing home or requirement of
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2851
human assistant can be delayed. Also Children below
10 require immediate attention when under threat.
C. Connectivity: Finally, most of independently living
elderly people are forced to spend timealone,andare
deprived of social interaction. Social engagementwill
considerably delay the deterioration and health-
related issues. It is a known fact that robots cannot
replace humans, but we try to increase the level at
which robots can compensate theabsenceofhumans,
either by interacting with the person,or byactingasa
communication interface between different people
that is more usable.
To accommodate these needs, we are currently
developing a first generation personal service robot
specifically targeted at people with mild forms of
dementia and children with security needs.
2. HARDWARE
The robotic system proposed through this paper is called
KIMS. KIMS is supported on top of twowheeledNomadScout
differential drive mobile base. The bespoken robotic system
is built on ARDUINO Mega 2560 and it is programmed in
embedded C language. There are three systems in KIMS and
all the systems are activated based on the voice input. The
voice recognition is achieved through voice recognition
module that accepts maximum 7 voice command at a time,
but allows storage of 256 voice commands. The commands
and their appropriate output system simulation is shown.
Table -1: Voice input and Corresponding system
simulations
Voice Input System Simulated
Follow Motion Tracking and Obstacle Avoidance
Monitoring Motion Detecting and GSM modem activation
Cry Sound
(ex: Aah!)
GSM Modem activation
Lights On/Off Lighting System
Stop Turns all the system off
Motion tracking system consists of 2 IR sensors that are
capable of detecting the presence of anobjectinfrontofthem
by abiding the Planck’s Radiation Law, Stephen – Boltzmann
law and Wien’s Displacement law. The inputs to the IR
sensors simulate the DC motors that are present on the left
and rightsideof the robot. Thesecumulativelyworktogether
to achieve motion tracking based on the table-2.
Table -2: Truth table of designed motion tracking system
VoiceRecognitionInput
0 No Activity
1
IR1(Left) IR2(Right) Left Motor
Right
Motor
0 0
0 0
Stepper Motor is
Activated
0 1 1 0
1 0 0 1
1 1 1 1
Both the IR Sensors are placed over the shaft of the
stepper motor as shown below in figure-1
Fig -1: Illustration of amalgamated IRs and Stepper
When the inputs to both the IR Sensors remain Low,
immediately the stepper motor starts turning with a
resolution of 200 steps thus covering 1.8degreesateachstep
given by the formula given below
Angle covered during each step= 360 degrees
No. of Steps
At any point if any of the IR input becomes High the stepper
motor switches off and normal operation returns.
Monitoring system consists of Passive Infrared sensor
and a GSM modem. It is activated in two ways. One way of
powering up the monitoring system is on voice inputs “Aah”
or any other crysound. Immediately theGSMmodemsendsa
short message stating “Cry sound heard” to the emergency
contact number. Other way of activating the monitoring
system is the voice input “Monitor”. In the second case the
GSM modem waits forinput fromPIRsensor.Ifinputremains
low for the programmed calibration time i.e. the PIR detects
no motion then it immediately stimulates the GSM modem
which sends a message to the emergency contact stating “No
motion detected”. In both cases GSM modem waits for return
message “OK” from the contact, if no return message is
received it sends the same message again andagainforevery
20 seconds.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2852
Home Automation system consists of the bot as the
central hub that connects various hardware components
through wired or wireless connections (here Bluetooth),
whose activities are controlled through voice inputs. The
Bluetooth based Homeautomationthroughvoicerecognition
provides efficient and low cost andsecuredsystem.Thebasic
blocks of our bots home automation system is shown in
figure-2.
Fig -2: Bluetooth based Home automation controlled over
voice commands.
3. SOFTWARE
At the present time, KIMS is made of two major software
subsystems, each of which is designed with a specific goal in
mind for assisting the elderly and children.
Tele-Presence Interface: Our main objective is not to
replace the human assistant but to aid the communication
between users and other people. Instead of supplanting
someone KIMS facilitatesthe interaction betweenthe person
and user. By providing a communication interface between
the surrounding environment and the person, which is
achieved by sending appropriatemessagestothe emergency
contact at appropriate instances and situations the robot
increases the user’s contact with the outside world at
relatively little effort.Thetele-presenceinterface embodiesa
camera (here we use a mobile camera) that transmits the
video signal to a remote station or gadget that is built on
android OS. The video signals are transmittedtothe receiver
gadget over thewirelessBluetoothconnection.Furthermore,
the tele-presence also extends control of the robotic camera
by another emergency remote user. Using a mobile app
developed through androidstudio forcontrollingthecamera
position and angle, respective responsible person, friend or
relative can alter the camera angle to achieve surveillance
around the user’s room. The screenshots of the application
developed for camera live streaming which can alsosupport
remote shuttering is shown in figure-3. The screenshot of
application developed for altering the angle of servo motor
that supports the mobile camera is shown in figure-4.
Fig -3: Application for Live Streaming and remote
shuttering.
Fig -4: Application for altering servo motor position
Speech Recognition Interface: One amongst the
important objective of designing process is to generate a
natural interaction between the users and the robot. Most
commonly the elderly people find difficulty in interacting
using unknown or unfamiliar means of communication
example such as keyboard and computer screens. Thus it is
ultimately necessary that the robot establishes
communication through means that are familiar to elderly
people and children. Thus achieving spokeninteractionwith
the robot is absolutely essential. KIMS consistsofa real-time
speech interface. The speech recognition system is based on
V3 voice recognition module. It is a compact and easy-
control speech recognition board. This product is a speaker-
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2853
dependent voice recognition module.Itsupportsuptoa total
of 80 voice commands. Maximumof7voicecommandscould
be fed as input at the same time. Any acoustic input could be
trained as command. Users need to train the module first
before letting it recognizing any voice command This board
can be controlled in 2 ways they are Serial Port (full
function), General Input Pins (part of function). Thus at
present KIMS can identify 7 voice commands and stimulate
the appropriate system. This enables KIMS to understand
commands such as “Hello”, “Follow”, “Monitor”, “Cry sound”,
“Lights ON”, “Lights OFF”, “Stop”.
4. DISSCUSSION
The block diagram of proposed system is shown in figure-5.
Through this paper we reported the initial design and
outputs of mobile robot aimed at the elderly and child
population. Understanding the necessity and significance of
providing supervision for elderly and child population, we
are now developing a humanoid robot that will provide a
variety of services to solitary living elders and children.
Additionally we would like to make students aware of the
extremely high end features of AT-Mega microcontrollers
that can help in providing high end facilities at low
expenditure. We hope that through this research we at least
managed to achieve a minute fraction of the enormous
challenge of servicing the solitary elders and children.
Fig -5: Block Diagram of Proposed model.
ACKNOWLEDGEMENT
This research and project would have not been possible
without the guidance and motivation from many people in
our lives. We are fortunate in having top quality people to
help, support and guide us in every step towards our goal.
We express our profound thanks and gratefulness to our
Supervisor Mrs. K. Sobana Sakthivel M.Tech., Assistant
Professor (O.G), Department of Electronics and
CommunicationEngineeringforhervaluableguidance and
suggestion, which enabled us to come out successfully with
our project work. We express our sincere salutation to all
other teaching and non-teaching staffs for their valuable
suggestions in this endeavor of ours. Last but not the least,
we dedicate this work to our parents and the Almighty who
have been with us to overcome the hard times.
REFERENCES
[1] Chiao-Yu Yang,Ming-Jen Lu,Shih-Huan Tseng and Li-
Chen “Companion Robot for Daily Care of Elders based
on Homeostasis” published in the year 2017 research
done at Fu Telligent Robot and Automation Lab.,
National Taiwan University, Taipei, Taiwan (Tel:+886-
2-23622209;
[2] Gregory Baltus, Dieter Fox, FrancineGemperle, Jennifer
Goetz, Tad Hirsch, DimitrisMagaritis MikeMontemerlo,
Joelle Pineau, Nicholas Roy, Jamie Schulte, Sebastian
Thrun “Towards Personal Service Robots for the
Elderly “ published in the year 2015 research done at
Computer Science and Robotics Carnegie Mellon
University http://www.cs.cmu.edu/_nursebot.
[3] Sunita Menezes and Tissy Mariam Thomas “Status of
the Elderly and Emergence of Old Age Homes in India”
Department of Psychology, Christ Deemed to be
University, Bengaluru – 560029, India 2Department of
Psychology, University of Kerala,Thiruvananthapuram,
Kerala, India 2018
[4] Wafa Johal, Carole A Adam, Humbert Fiorino , Sylvie
Pesty “Acceptability of a companion robot forchildren
in daily life situation” published in the year 2014.

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  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2850 HUMANOID ROBOT FOR ELDERLY AND CHILD GUIDANCE Indhu Subramanian1, Kirthika Amalya Mol Nandakumar2, Malathy Mani3, K. Sobana4 1,2,3Student, Department of ECE, Valliammai Engineering College, Tamil Nadu, India 4Assistant Professor, Department of ECE, Valliammai Engineering College, Tamil Nadu, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - In recent time’s robotics have gained increased importance for human assistance and guidance in manyAsian countries. Among these the therapeutic robotic systems for health care monitoring using sensor framework have taken diverse forms. Extending this idea and providing advanced design which is portable, consumes less power, furnished with comprehensive judgment ability, responsiveness and memory could help in elderly guidance and child guidance. The above mentioned specifications canbeachievedthroughahumanoid robot. The system proposed through this paper is based onthe working principles of a humanoid robot (HNR). The system can operate on 3 modes, Tracking, Monitoring and General. It consists of Arduino Mega 2560 micro controller and takes input from IR sensors to control motion tracking. PIR sensors, camera (here we take input from mobile camera) and GSM modem act as input for monitoring, it uses Bluetooth module for home automation. Further the model also provides voice recognition, live streaming and remote shuttering from the emergency contact end. The system is powered up by rechargeable Lithium-ion batteries and it is portable. Firmware is programmed using Embedded C language .Therefore the main objective of the project is to produce a fully automated, reliable, responsivecognitiverobotforelderly and child guidance with cost effective and low power consuming hardware. Key Words: Humanoid robot, Comprehensive Judgment Ability, Responsiveness, Motion Tracking, Voice Recognition, Live streaming, Portable. 1. INTRODUCTION The exponential increase of the number of nuclear families in India has acted as the cause of two important problems, elderly (here denoting to the people above the age of 60) care and child (here denoting to the children between the age of 5 to 10) care. According to the statistical reports provided by The United Nations Population Fund (UNPFA), the elderly population in India has increasedfrom77million in 2001 to 104 million in 2011. By 2050 it is likely to increase by three times to reach around 300 million accounting to 20 percentage of the total population of the country. But bitterly there are nosufficienthumanresources to provide the care required for these elders. Supporting to the above statement almost 60% families were reported to have both spouses employed and also there is a projected shortfall of 380,000 of specialized custodians by 2025. Secondly unaccompanied children also have security issues which have to be addressed. Thus this brings in a need for robots to assist the wants of the solitary elders and children. 1.1 Problems in using an HNR Humanoids can assist with connectivity and monitoring. Never the less they can’t replace humans. While human caring has been a human-to-human relationship, in the case of HNRs it is a nonhuman-to-human relationship,thereforeit is essential to consider ethical concerns and human safety. For HNRs to support elders and children directly, they must have same level of comprehensive judgment ability and responsivenessas that of human custodians.IfHNRssupport the subjects independently, abilities which are much like those of humans will be required in them in addition to the appropriate intelligence and skilfulness to do so. 1.2 Goals In the previous few years, robotic assistants were successfully used in many fields like hospitals, where they perform a variety of functions like custodian services, educate, or entertain.Robots haveconjointlybeendeveloped for guiding blind individuals. Time is ripe to leverage this technology into the lives of elderly people and children between ages 5 to 10, where theneedforpersonal assistance is larger than in any other age group. Thisprojecttakesideas from initial results obtained by Flo, the robot. The goal of this project is the development of personal robotic assistant that serves three primary functions: A. Achieving similarity to human cognition: A huge fraction of the elderlypopulationsuffersfromvarying degrees of dementia. The inability to remember can have severe consequences.Forexample,subjectsmay forget to take medicine. This results in shifting the patient to a nursing home for human assistance. Reminding is an important (and time-consuming) activity. B. Affording protection: Leaving elders who are physically weak and with high dementia alone at a private home can act risky. For example, if the elder accidentally falls down and if it is left unnoticed by others, dreadful consequences up to an effect of the person’s death can occur. Thus loss of stability is acting as a potential risk. By decreasing such risks through methodical monitoring and protecting, the movement into nursing home or requirement of
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2851 human assistant can be delayed. Also Children below 10 require immediate attention when under threat. C. Connectivity: Finally, most of independently living elderly people are forced to spend timealone,andare deprived of social interaction. Social engagementwill considerably delay the deterioration and health- related issues. It is a known fact that robots cannot replace humans, but we try to increase the level at which robots can compensate theabsenceofhumans, either by interacting with the person,or byactingasa communication interface between different people that is more usable. To accommodate these needs, we are currently developing a first generation personal service robot specifically targeted at people with mild forms of dementia and children with security needs. 2. HARDWARE The robotic system proposed through this paper is called KIMS. KIMS is supported on top of twowheeledNomadScout differential drive mobile base. The bespoken robotic system is built on ARDUINO Mega 2560 and it is programmed in embedded C language. There are three systems in KIMS and all the systems are activated based on the voice input. The voice recognition is achieved through voice recognition module that accepts maximum 7 voice command at a time, but allows storage of 256 voice commands. The commands and their appropriate output system simulation is shown. Table -1: Voice input and Corresponding system simulations Voice Input System Simulated Follow Motion Tracking and Obstacle Avoidance Monitoring Motion Detecting and GSM modem activation Cry Sound (ex: Aah!) GSM Modem activation Lights On/Off Lighting System Stop Turns all the system off Motion tracking system consists of 2 IR sensors that are capable of detecting the presence of anobjectinfrontofthem by abiding the Planck’s Radiation Law, Stephen – Boltzmann law and Wien’s Displacement law. The inputs to the IR sensors simulate the DC motors that are present on the left and rightsideof the robot. Thesecumulativelyworktogether to achieve motion tracking based on the table-2. Table -2: Truth table of designed motion tracking system VoiceRecognitionInput 0 No Activity 1 IR1(Left) IR2(Right) Left Motor Right Motor 0 0 0 0 Stepper Motor is Activated 0 1 1 0 1 0 0 1 1 1 1 1 Both the IR Sensors are placed over the shaft of the stepper motor as shown below in figure-1 Fig -1: Illustration of amalgamated IRs and Stepper When the inputs to both the IR Sensors remain Low, immediately the stepper motor starts turning with a resolution of 200 steps thus covering 1.8degreesateachstep given by the formula given below Angle covered during each step= 360 degrees No. of Steps At any point if any of the IR input becomes High the stepper motor switches off and normal operation returns. Monitoring system consists of Passive Infrared sensor and a GSM modem. It is activated in two ways. One way of powering up the monitoring system is on voice inputs “Aah” or any other crysound. Immediately theGSMmodemsendsa short message stating “Cry sound heard” to the emergency contact number. Other way of activating the monitoring system is the voice input “Monitor”. In the second case the GSM modem waits forinput fromPIRsensor.Ifinputremains low for the programmed calibration time i.e. the PIR detects no motion then it immediately stimulates the GSM modem which sends a message to the emergency contact stating “No motion detected”. In both cases GSM modem waits for return message “OK” from the contact, if no return message is received it sends the same message again andagainforevery 20 seconds.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2852 Home Automation system consists of the bot as the central hub that connects various hardware components through wired or wireless connections (here Bluetooth), whose activities are controlled through voice inputs. The Bluetooth based Homeautomationthroughvoicerecognition provides efficient and low cost andsecuredsystem.Thebasic blocks of our bots home automation system is shown in figure-2. Fig -2: Bluetooth based Home automation controlled over voice commands. 3. SOFTWARE At the present time, KIMS is made of two major software subsystems, each of which is designed with a specific goal in mind for assisting the elderly and children. Tele-Presence Interface: Our main objective is not to replace the human assistant but to aid the communication between users and other people. Instead of supplanting someone KIMS facilitatesthe interaction betweenthe person and user. By providing a communication interface between the surrounding environment and the person, which is achieved by sending appropriatemessagestothe emergency contact at appropriate instances and situations the robot increases the user’s contact with the outside world at relatively little effort.Thetele-presenceinterface embodiesa camera (here we use a mobile camera) that transmits the video signal to a remote station or gadget that is built on android OS. The video signals are transmittedtothe receiver gadget over thewirelessBluetoothconnection.Furthermore, the tele-presence also extends control of the robotic camera by another emergency remote user. Using a mobile app developed through androidstudio forcontrollingthecamera position and angle, respective responsible person, friend or relative can alter the camera angle to achieve surveillance around the user’s room. The screenshots of the application developed for camera live streaming which can alsosupport remote shuttering is shown in figure-3. The screenshot of application developed for altering the angle of servo motor that supports the mobile camera is shown in figure-4. Fig -3: Application for Live Streaming and remote shuttering. Fig -4: Application for altering servo motor position Speech Recognition Interface: One amongst the important objective of designing process is to generate a natural interaction between the users and the robot. Most commonly the elderly people find difficulty in interacting using unknown or unfamiliar means of communication example such as keyboard and computer screens. Thus it is ultimately necessary that the robot establishes communication through means that are familiar to elderly people and children. Thus achieving spokeninteractionwith the robot is absolutely essential. KIMS consistsofa real-time speech interface. The speech recognition system is based on V3 voice recognition module. It is a compact and easy- control speech recognition board. This product is a speaker-
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2853 dependent voice recognition module.Itsupportsuptoa total of 80 voice commands. Maximumof7voicecommandscould be fed as input at the same time. Any acoustic input could be trained as command. Users need to train the module first before letting it recognizing any voice command This board can be controlled in 2 ways they are Serial Port (full function), General Input Pins (part of function). Thus at present KIMS can identify 7 voice commands and stimulate the appropriate system. This enables KIMS to understand commands such as “Hello”, “Follow”, “Monitor”, “Cry sound”, “Lights ON”, “Lights OFF”, “Stop”. 4. DISSCUSSION The block diagram of proposed system is shown in figure-5. Through this paper we reported the initial design and outputs of mobile robot aimed at the elderly and child population. Understanding the necessity and significance of providing supervision for elderly and child population, we are now developing a humanoid robot that will provide a variety of services to solitary living elders and children. Additionally we would like to make students aware of the extremely high end features of AT-Mega microcontrollers that can help in providing high end facilities at low expenditure. We hope that through this research we at least managed to achieve a minute fraction of the enormous challenge of servicing the solitary elders and children. Fig -5: Block Diagram of Proposed model. ACKNOWLEDGEMENT This research and project would have not been possible without the guidance and motivation from many people in our lives. We are fortunate in having top quality people to help, support and guide us in every step towards our goal. We express our profound thanks and gratefulness to our Supervisor Mrs. K. Sobana Sakthivel M.Tech., Assistant Professor (O.G), Department of Electronics and CommunicationEngineeringforhervaluableguidance and suggestion, which enabled us to come out successfully with our project work. We express our sincere salutation to all other teaching and non-teaching staffs for their valuable suggestions in this endeavor of ours. Last but not the least, we dedicate this work to our parents and the Almighty who have been with us to overcome the hard times. REFERENCES [1] Chiao-Yu Yang,Ming-Jen Lu,Shih-Huan Tseng and Li- Chen “Companion Robot for Daily Care of Elders based on Homeostasis” published in the year 2017 research done at Fu Telligent Robot and Automation Lab., National Taiwan University, Taipei, Taiwan (Tel:+886- 2-23622209; [2] Gregory Baltus, Dieter Fox, FrancineGemperle, Jennifer Goetz, Tad Hirsch, DimitrisMagaritis MikeMontemerlo, Joelle Pineau, Nicholas Roy, Jamie Schulte, Sebastian Thrun “Towards Personal Service Robots for the Elderly “ published in the year 2015 research done at Computer Science and Robotics Carnegie Mellon University http://www.cs.cmu.edu/_nursebot. [3] Sunita Menezes and Tissy Mariam Thomas “Status of the Elderly and Emergence of Old Age Homes in India” Department of Psychology, Christ Deemed to be University, Bengaluru – 560029, India 2Department of Psychology, University of Kerala,Thiruvananthapuram, Kerala, India 2018 [4] Wafa Johal, Carole A Adam, Humbert Fiorino , Sylvie Pesty “Acceptability of a companion robot forchildren in daily life situation” published in the year 2014.