Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
Available Online at www.ijcsmc.com
International Journal of Computer Science and Mobile Computing
A Monthly Journal of Computer Science and Information Technology
ISSN 2320–088X
IMPACT FACTOR: 6.199
IJCSMC, Vol. 8, Issue. 4, April 2019, pg.119 – 126
GESTURE BASED CALLING SYSTEM
Sweksha Goyal1; Jeet Thakar2; Unnathi Mundra3; Rishabh Jain4; Prof. Shilpa KS5
1
Department of CSE, School of Engineering and Technology-Jain University, Bangalore, India
Department of CSE, School of Engineering and Technology-Jain University, Bangalore, India
3
Department of CSE, School of Engineering and Technology-Jain University, Bangalore, India
4
Department of CSE, School of Engineering and Technology-Jain University, Bangalore, India
5
Department of CSE, School of Engineering and Technology-Jain University, Bangalore, India
1
swekshagoyal12@gmail.com, 2 jeetthakar60@gmail.com, 3 unnathimundra1@gmail.com,
4
rishabhsmjain@gmail.com, 5 shilpaks619@gmail.com
2
Abstract- The interaction between a nurse and patient depends majorly on the communication
medium. The augmentation of the Internet of Things (IoT) in the recent era allows us to
accommodate this technology in various aspects of our lives to make the process secure and
reliable. We are using the knowledge of IoT for making this interaction system secure and
easy to use. By introducing hand gestures for calling the attendee makes this device
convenient to operate by the differently abled people. From this perspective, this paper
presents a real-time nurse calling system based on the performed hand movements. Further,
the gesture is detected by the accelerometer and processed by the micro controller. The
corresponding message is sent to the attender’s smartphone, and the nurse responds at the
earliest. The device uses low-cost components such as Raspberry Pi, accelerometer and a
heartbeat sensor.
Keywords - Gesture, Raspberry Pi, Mobile application, Accelerometer.
I.
INTRODUCTION
Internet of Things, a term which is referred to a network of devices, is emerging at an
exponential rate since it came into action. IoT can be amalgamated with other domains such as
Artificial Intelligence and Machine Learning to make new devices/products for specific as well
as general use. It can also be integrated with embedded systems such as a micro controller to
make high-performance systems. IoT is a unique branch which can be used to perform domestic
operations as well as those which has a high impact and the accuracy should be on the peak.
The major characteristic of IoT is the level of compatibility that it offers. IoT blends in with
almost all the domains like colours do in water. It plays a vital role in various sectors such as
© 2019, IJCSMC All Rights Reserved
119
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
communications, networking, research, household, and automobile. Hence, using it in the health
sector can make a huge impact on the way a patient is diagnosed and treated. One such
arrangement is the Gesture based calling system which uses IoT to improvise the already
existing calling system.
As this device is used in hospitals/nursing home, any type of system fault or human ignorance
may result into unfortunate events. Implementation of a realistic, feasible and real-time remote
calling system is a necessity. A cloud interface is used as a database storing entity. The whole
system is designed in such a way that it is scalable and robust. Additional features include a
heartbeat sensor and a GPS, allowing the user to find his/her pulse rate and GPS for sending the
user’s accurate location to the caretaker.
A spectrum of ideas has been enforced in the field of remote calling system. A wired system is
proposed in [1]. Space-bound remains a massive disadvantage for the system proposed in [1]. In
this system, the user is bounded to a particular zone as the device cannot be carried everywhere.
To overcome this drawback, we are making a portable system which a user can wear around
his/her wrist, hence not compromising with his/her mobility. Similar calling system is proposed
in [2] which works through Bluetooth and voice commands. The limitation of this system is that
it works through Bluetooth which has a working range of 30-40 meters, again making the system
bound to a limited range. Hence, to outdo this disadvantage, we are using a cloud interface that is
not limited to a certain radius.
While proposing a new methodology, the key objectives that have been taken into account are
the flexibility of the user to use the device from any location i.e., not compromising with the
mobility of the user and deploying a system which can be used both by the user and staff
member regardless of the distance between them.
II.
FORMER WORK
Nurse calling system has been constantly valuable for those who are physically challenged. The
fundamental objective of this nurse calling system to make the life of differently abled people
easier by providing them with the help required.
A. Analysis on existing nurse calling systems
Various methods have been proposed in the field of healthcare but for situations where
physically challenged person needs extra care and support to live their lives in a more facile way
we need to deploy a framework with stronger stability, cost, and ease of operation. Numerous
ways to deploy a model of nurse calling system are already available in today’s world.
One way is the “Real-Time Feedback-Centric Nurse Calling System with Archive Monitoring
using Raspberry Pi” proposed in [3]. In this system, the user will be able to call the caretaker for
assistance by pressing a designated button. After this, the device sends a notification comprising
of patient’s bed number, floor number etc. to the nurse station. The Nurse will respond to the
user accordingly and can optionally call for more help by pressing the desired button within the
device. This system reduces the response time of the nurse. But the drawback within this system
is that the device is connected via cables which makes the device inconvenient to be carried
everywhere.
Another system “Design Development and implementation of wireless nurse call station”
proposed in [4] helps in assisting the users who are physically impaired or bedridden and have no
© 2019, IJCSMC All Rights Reserved
120
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
means of communication when the caretaker is not present nearby. In this system, a push button
is mounted near the user bed which provides the user to inform the nurse station. A call can be
initiated both manually as well as automatically. An automated call is initiated when parameters
such as ECG, pulse rate vary frequently in an unreasonable fashion. This system reduces the risk
factor by automating the device in case of emergency. But the system compromises with the
mobility of the user as the push button is attached near the bed. so inflexibility of the system
becomes an immense drawback.
Another approach for nurse calling system is “Battery less Radio System for Hospital
Application” proposed in [5]. This system does not require the use of long wires and battery to
provide energy. The system proposed in [5] converts the mechanical energy which is resulted for
user pressing a button, which is further transformed into electrical power with the help of
mechanical energy converter. This device works on a radio signal which is then sent to the
receiver module accordingly. The complexity of this framework is the complication of pressing a
button by a differently-abled user or in case of an emergency. As well as there is no automated
call in case of severe emergency.
Final analysis was done with “Design Development and Implementation of wired nurse calling
system” proposed in [1]. This methodology of nurse calling system used a trigger button which is
attached to the patients bed. The button when pressed by the user is followed by alerting the
nurse station with a buzzer sound. This system has the ability to work with numerous number of
beds with the help of RS-485 protocol.
The analysis of existing nurse calling system encourages us to deploy a framework which is
more reliable, scalable, and cost effective than the existing ones. All existing techniques where
either space bounded, wired or had mobility issues. The system deployed by us is a wireless
system, which works with the help of cloud interface to exchange information. This makes the
system easier to use and manage.
III.
METHODOLOGY
Figure 1 shows the general architecture of the proposed system. It primarily consists of two
major components:
A) Transmitter side which is coupled with the user.
B) The receiver side which is in the form of an android app.
Both of these components are linked with each other with the help of cloud interface. The cloud
interface helps the system components to interact among them by exchanging useful information.
A) Transmitter side:
The system includes an accelerometer, raspberry pi micro controller, GPS locator and a heartbeat
sensor. Accelerometer acts as an interface between the user and the micro controller. The hand
gesture of the user is detected by the accelerometer and is further processed and sent to the micro
controller. This is a crucial part of the proposed methodology. The micro controller is built to
© 2019, IJCSMC All Rights Reserved
121
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
detect four gestures which can be further extended. All these four gestures are used for different
purposes, such as:
•
The first gesture can be used for the basic necessity like water, food, etc.
•
second gesture can be used for cleaning purpose.
•
Third gesture can be used for medical help.
•
Fourth and the last gesture can be used in emergency purpose which alerts the staff to reach
the user as soon as possible.
These are the four gestures which are initially defined by us and can be changed in future
accordingly.
Figure 1. Proposed System Architecture
As soon as a hand gesture is detected by the accelerometer, it processes it and converts the
gesture into coordinate values and sends this information to the micro controller. Micro
controller after receiving information from the accelerometer, processes it accordingly, and
initiates the GPS locator and heartbeat sensor to send GPS location and pulse rate. It then
combines all the information sent from GPS locator, accelerometer, and heartbeat sensor, which
is sent further to ThingSpeak cloud. The flowchart of the transmitter side is shown in figure 2.
© 2019, IJCSMC All Rights Reserved
122
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
Figure 2. Flowchart of transmitter side
B) Receiver side
Receiver side comprises of two components: cloud server and the web application. User’s hand
gesture which is sent to cloud interface in form of structured data is then transmitted to web
application which acts as an interface between the user and the staff member. Data is received in
the web application in the form of
notification messages. A buzzer sound is followed by the notification to alert the staff member.
The flowchart of the transmitter side is shown in figure 3.
© 2019, IJCSMC All Rights Reserved
123
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
Figure 3. flowchart of receiver side
IV.
SYSTEM IMPLEMENTATION
The prototype of gesture based calling system was implemented in two parts:
A) Software Development
Software design of our system mainly includes the mobile application which acts as an interface
between the attender and the user of our system for various events such as notification from the
user, tracking record and emergency situations. The app is created using Android Studio and is
compatible with any android device such as mobile and tablet. The app assigns individual login
ID and password for each staff member. A new staff member can create their own login ID and
password by filling up the mandatory credentials. The back end for the app is created using
MySQL. Back end that is MySQL consists of login ID and password of each staff which is
verified every time a staff logs in into the app. If the login credentials do not match to that
available on MySQL database, the access to android app in denied. While creating new login
credentials the back end database is verified whether the staff exists or not before assigning
unique login credentials to the staff. After the staff had logged in on the app, it consists of a
home page, that displays the current and previous notifications. Every notification is assigned a
buzzer tune to alert the staff. For emergency notifications, continuous buzzer sound is played to
inform the attender about the emergency and to respond according to the protocol.
At the user’s end, micro controller, Raspberry Pi is responsible for all the functions. It is made
functional by implementing an algorithm which manages all the tasks in an efficient manner. It is
coded in Python. The main reason for choosing Python is its compatibility with Raspberry Pi. It
© 2019, IJCSMC All Rights Reserved
124
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
also has less redundancies compared to other programming languages. In simple words, we are
teaching the micro controller how to respond for each type of event occurred.
B) Hardware Design
Hardware design includes six components:
1. Micro controller - Raspberry Pi
2. Accelerometer
3. Heart beat sensor
4. GPS
5. Battery
6. Smartphone
Micro controller acts as the brain of the system, managing the tasks simultaneously. All the user
end components are connected to micro controller with the help of various in built ports.
Accelerometer takes the main input from the user, analysing the hand movement and sending the
gesture details to the micro controller. Every accelerometer will be having a unique ID which
will be sent as an information to the android application making it more easier for the staff to
identify the user of the system and reach out to them at the earliest.
Heart beat sensor is to find the pulse rate, by placing it on the finger. It requires some backend
calculations, and displays the result on the LCD attached to the micro controller.
GPS is used to give the accurate location of user to the micro controller which sends it to the
smartphone along with the notification.
The device is powered through a battery, making the device portable. This is one of the major
advantages of the proposed system. Smartphone is on the receiver’s end of the system. Any
android based device can be used for this purpose.
V.
CONCLUSION
In this paper, a gesture based calling system is proposed. Using gestures for this purpose is a new
appealing concept. The system is equipped with various components, adding more features to the
device. The cloud interface increases the usability range. A heart beat sensor has never been used
before for such devices, making the system one of its kind. As the system is battery powered, the
user’s mobility is not compromised. Raspberry Pi is used to make this system robust and
scalable. Hence, this system can make a positive impact in health sector, old age homes and for
physically challenged people.
© 2019, IJCSMC All Rights Reserved
125
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
REFERENCES
[1] Chaman Sharma, and Deepak Kumar Gautam “Design Development and implementation of
wired nurse call station” in Institute of Electrical and Electronic Engineers, 2015.
[2] Neeraj Khera, Sharad Tiwari, R. P. Singh, Tathagata Ghosh, and Pradeep Kumar
“Development of Android Based Smart Home and Nurse Calling System for Differently Abled
“in Institute of Electrical and Electronic Engineers, 2016.
[3] Mohammad Sakib Mahmud, Mahbub Arab Majumder, Abdul Kawsar Tushar, Md. Mahtab
Kamal, Akm Ashiquzzaman, and Md. Rashedul Islam “Real-Time Feedback-Centric Nurse
Calling System with Archive Monitoring using Raspberry Pi” in Institute of Electrical and
Electronic Engineers,2017.
[4] S.Aswin, N. Gopalakrishnan, S.Jeyender, R.Gnana Prasanna and S. Pravin Kumar “Design
Development and implementation of wireless nurse call station” in Institute of Electrical and
Electronic Engineers.
[5] Riad Kanan and Obaidallah Elhassan “Battery less Radio System for Hospital Application”
in Institute of Electrical and Electronic Engineers, 2016.
© 2019, IJCSMC All Rights Reserved
126
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
Available Online at www.ijcsmc.com
International Journal of Computer Science and Mobile Computing
A Monthly Journal of Computer Science and Information Technology
ISSN 2320–088X
IMPACT FACTOR: 6.199
IJCSMC, Vol. 8, Issue. 4, April 2019, pg.119 – 126
GESTURE BASED CALLING SYSTEM
Sweksha Goyal1; Jeet Thakar2; Unnathi Mundra3; Rishabh Jain4; Prof. Shilpa KS5
1
Department of CSE, School of Engineering and Technology-Jain University, Bangalore, India
Department of CSE, School of Engineering and Technology-Jain University, Bangalore, India
3
Department of CSE, School of Engineering and Technology-Jain University, Bangalore, India
4
Department of CSE, School of Engineering and Technology-Jain University, Bangalore, India
5
Department of CSE, School of Engineering and Technology-Jain University, Bangalore, India
1
swekshagoyal12@gmail.com, 2 jeetthakar60@gmail.com, 3 unnathimundra1@gmail.com,
4
rishabhsmjain@gmail.com, 5 shilpaks619@gmail.com
2
Abstract- The interaction between a nurse and patient depends majorly on the communication
medium. The augmentation of the Internet of Things (IoT) in the recent era allows us to
accommodate this technology in various aspects of our lives to make the process secure and
reliable. We are using the knowledge of IoT for making this interaction system secure and
easy to use. By introducing hand gestures for calling the attendee makes this device
convenient to operate by the differently abled people. From this perspective, this paper
presents a real-time nurse calling system based on the performed hand movements. Further,
the gesture is detected by the accelerometer and processed by the micro controller. The
corresponding message is sent to the attender’s smartphone, and the nurse responds at the
earliest. The device uses low-cost components such as Raspberry Pi, accelerometer and a
heartbeat sensor.
Keywords - Gesture, Raspberry Pi, Mobile application, Accelerometer.
I.
INTRODUCTION
Internet of Things, a term which is referred to a network of devices, is emerging at an
exponential rate since it came into action. IoT can be amalgamated with other domains such as
Artificial Intelligence and Machine Learning to make new devices/products for specific as well
as general use. It can also be integrated with embedded systems such as a micro controller to
make high-performance systems. IoT is a unique branch which can be used to perform domestic
operations as well as those which has a high impact and the accuracy should be on the peak.
The major characteristic of IoT is the level of compatibility that it offers. IoT blends in with
almost all the domains like colours do in water. It plays a vital role in various sectors such as
© 2019, IJCSMC All Rights Reserved
119
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
communications, networking, research, household, and automobile. Hence, using it in the health
sector can make a huge impact on the way a patient is diagnosed and treated. One such
arrangement is the Gesture based calling system which uses IoT to improvise the already
existing calling system.
As this device is used in hospitals/nursing home, any type of system fault or human ignorance
may result into unfortunate events. Implementation of a realistic, feasible and real-time remote
calling system is a necessity. A cloud interface is used as a database storing entity. The whole
system is designed in such a way that it is scalable and robust. Additional features include a
heartbeat sensor and a GPS, allowing the user to find his/her pulse rate and GPS for sending the
user’s accurate location to the caretaker.
A spectrum of ideas has been enforced in the field of remote calling system. A wired system is
proposed in [1]. Space-bound remains a massive disadvantage for the system proposed in [1]. In
this system, the user is bounded to a particular zone as the device cannot be carried everywhere.
To overcome this drawback, we are making a portable system which a user can wear around
his/her wrist, hence not compromising with his/her mobility. Similar calling system is proposed
in [2] which works through Bluetooth and voice commands. The limitation of this system is that
it works through Bluetooth which has a working range of 30-40 meters, again making the system
bound to a limited range. Hence, to outdo this disadvantage, we are using a cloud interface that is
not limited to a certain radius.
While proposing a new methodology, the key objectives that have been taken into account are
the flexibility of the user to use the device from any location i.e., not compromising with the
mobility of the user and deploying a system which can be used both by the user and staff
member regardless of the distance between them.
II.
FORMER WORK
Nurse calling system has been constantly valuable for those who are physically challenged. The
fundamental objective of this nurse calling system to make the life of differently abled people
easier by providing them with the help required.
A. Analysis on existing nurse calling systems
Various methods have been proposed in the field of healthcare but for situations where
physically challenged person needs extra care and support to live their lives in a more facile way
we need to deploy a framework with stronger stability, cost, and ease of operation. Numerous
ways to deploy a model of nurse calling system are already available in today’s world.
One way is the “Real-Time Feedback-Centric Nurse Calling System with Archive Monitoring
using Raspberry Pi” proposed in [3]. In this system, the user will be able to call the caretaker for
assistance by pressing a designated button. After this, the device sends a notification comprising
of patient’s bed number, floor number etc. to the nurse station. The Nurse will respond to the
user accordingly and can optionally call for more help by pressing the desired button within the
device. This system reduces the response time of the nurse. But the drawback within this system
is that the device is connected via cables which makes the device inconvenient to be carried
everywhere.
Another system “Design Development and implementation of wireless nurse call station”
proposed in [4] helps in assisting the users who are physically impaired or bedridden and have no
© 2019, IJCSMC All Rights Reserved
120
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
means of communication when the caretaker is not present nearby. In this system, a push button
is mounted near the user bed which provides the user to inform the nurse station. A call can be
initiated both manually as well as automatically. An automated call is initiated when parameters
such as ECG, pulse rate vary frequently in an unreasonable fashion. This system reduces the risk
factor by automating the device in case of emergency. But the system compromises with the
mobility of the user as the push button is attached near the bed. so inflexibility of the system
becomes an immense drawback.
Another approach for nurse calling system is “Battery less Radio System for Hospital
Application” proposed in [5]. This system does not require the use of long wires and battery to
provide energy. The system proposed in [5] converts the mechanical energy which is resulted for
user pressing a button, which is further transformed into electrical power with the help of
mechanical energy converter. This device works on a radio signal which is then sent to the
receiver module accordingly. The complexity of this framework is the complication of pressing a
button by a differently-abled user or in case of an emergency. As well as there is no automated
call in case of severe emergency.
Final analysis was done with “Design Development and Implementation of wired nurse calling
system” proposed in [1]. This methodology of nurse calling system used a trigger button which is
attached to the patients bed. The button when pressed by the user is followed by alerting the
nurse station with a buzzer sound. This system has the ability to work with numerous number of
beds with the help of RS-485 protocol.
The analysis of existing nurse calling system encourages us to deploy a framework which is
more reliable, scalable, and cost effective than the existing ones. All existing techniques where
either space bounded, wired or had mobility issues. The system deployed by us is a wireless
system, which works with the help of cloud interface to exchange information. This makes the
system easier to use and manage.
III.
METHODOLOGY
Figure 1 shows the general architecture of the proposed system. It primarily consists of two
major components:
A) Transmitter side which is coupled with the user.
B) The receiver side which is in the form of an android app.
Both of these components are linked with each other with the help of cloud interface. The cloud
interface helps the system components to interact among them by exchanging useful information.
A) Transmitter side:
The system includes an accelerometer, raspberry pi micro controller, GPS locator and a heartbeat
sensor. Accelerometer acts as an interface between the user and the micro controller. The hand
gesture of the user is detected by the accelerometer and is further processed and sent to the micro
controller. This is a crucial part of the proposed methodology. The micro controller is built to
© 2019, IJCSMC All Rights Reserved
121
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
detect four gestures which can be further extended. All these four gestures are used for different
purposes, such as:
•
The first gesture can be used for the basic necessity like water, food, etc.
•
second gesture can be used for cleaning purpose.
•
Third gesture can be used for medical help.
•
Fourth and the last gesture can be used in emergency purpose which alerts the staff to reach
the user as soon as possible.
These are the four gestures which are initially defined by us and can be changed in future
accordingly.
Figure 1. Proposed System Architecture
As soon as a hand gesture is detected by the accelerometer, it processes it and converts the
gesture into coordinate values and sends this information to the micro controller. Micro
controller after receiving information from the accelerometer, processes it accordingly, and
initiates the GPS locator and heartbeat sensor to send GPS location and pulse rate. It then
combines all the information sent from GPS locator, accelerometer, and heartbeat sensor, which
is sent further to ThingSpeak cloud. The flowchart of the transmitter side is shown in figure 2.
© 2019, IJCSMC All Rights Reserved
122
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
Figure 2. Flowchart of transmitter side
B) Receiver side
Receiver side comprises of two components: cloud server and the web application. User’s hand
gesture which is sent to cloud interface in form of structured data is then transmitted to web
application which acts as an interface between the user and the staff member. Data is received in
the web application in the form of
notification messages. A buzzer sound is followed by the notification to alert the staff member.
The flowchart of the transmitter side is shown in figure 3.
© 2019, IJCSMC All Rights Reserved
123
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
Figure 3. flowchart of receiver side
IV.
SYSTEM IMPLEMENTATION
The prototype of gesture based calling system was implemented in two parts:
A) Software Development
Software design of our system mainly includes the mobile application which acts as an interface
between the attender and the user of our system for various events such as notification from the
user, tracking record and emergency situations. The app is created using Android Studio and is
compatible with any android device such as mobile and tablet. The app assigns individual login
ID and password for each staff member. A new staff member can create their own login ID and
password by filling up the mandatory credentials. The back end for the app is created using
MySQL. Back end that is MySQL consists of login ID and password of each staff which is
verified every time a staff logs in into the app. If the login credentials do not match to that
available on MySQL database, the access to android app in denied. While creating new login
credentials the back end database is verified whether the staff exists or not before assigning
unique login credentials to the staff. After the staff had logged in on the app, it consists of a
home page, that displays the current and previous notifications. Every notification is assigned a
buzzer tune to alert the staff. For emergency notifications, continuous buzzer sound is played to
inform the attender about the emergency and to respond according to the protocol.
At the user’s end, micro controller, Raspberry Pi is responsible for all the functions. It is made
functional by implementing an algorithm which manages all the tasks in an efficient manner. It is
coded in Python. The main reason for choosing Python is its compatibility with Raspberry Pi. It
© 2019, IJCSMC All Rights Reserved
124
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
also has less redundancies compared to other programming languages. In simple words, we are
teaching the micro controller how to respond for each type of event occurred.
B) Hardware Design
Hardware design includes six components:
1. Micro controller - Raspberry Pi
2. Accelerometer
3. Heart beat sensor
4. GPS
5. Battery
6. Smartphone
Micro controller acts as the brain of the system, managing the tasks simultaneously. All the user
end components are connected to micro controller with the help of various in built ports.
Accelerometer takes the main input from the user, analysing the hand movement and sending the
gesture details to the micro controller. Every accelerometer will be having a unique ID which
will be sent as an information to the android application making it more easier for the staff to
identify the user of the system and reach out to them at the earliest.
Heart beat sensor is to find the pulse rate, by placing it on the finger. It requires some backend
calculations, and displays the result on the LCD attached to the micro controller.
GPS is used to give the accurate location of user to the micro controller which sends it to the
smartphone along with the notification.
The device is powered through a battery, making the device portable. This is one of the major
advantages of the proposed system. Smartphone is on the receiver’s end of the system. Any
android based device can be used for this purpose.
V.
CONCLUSION
In this paper, a gesture based calling system is proposed. Using gestures for this purpose is a new
appealing concept. The system is equipped with various components, adding more features to the
device. The cloud interface increases the usability range. A heart beat sensor has never been used
before for such devices, making the system one of its kind. As the system is battery powered, the
user’s mobility is not compromised. Raspberry Pi is used to make this system robust and
scalable. Hence, this system can make a positive impact in health sector, old age homes and for
physically challenged people.
© 2019, IJCSMC All Rights Reserved
125
Sweksha Goyal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 119-126
REFERENCES
[1] Chaman Sharma, and Deepak Kumar Gautam “Design Development and implementation of
wired nurse call station” in Institute of Electrical and Electronic Engineers, 2015.
[2] Neeraj Khera, Sharad Tiwari, R. P. Singh, Tathagata Ghosh, and Pradeep Kumar
“Development of Android Based Smart Home and Nurse Calling System for Differently Abled
“in Institute of Electrical and Electronic Engineers, 2016.
[3] Mohammad Sakib Mahmud, Mahbub Arab Majumder, Abdul Kawsar Tushar, Md. Mahtab
Kamal, Akm Ashiquzzaman, and Md. Rashedul Islam “Real-Time Feedback-Centric Nurse
Calling System with Archive Monitoring using Raspberry Pi” in Institute of Electrical and
Electronic Engineers,2017.
[4] S.Aswin, N. Gopalakrishnan, S.Jeyender, R.Gnana Prasanna and S. Pravin Kumar “Design
Development and implementation of wireless nurse call station” in Institute of Electrical and
Electronic Engineers.
[5] Riad Kanan and Obaidallah Elhassan “Battery less Radio System for Hospital Application”
in Institute of Electrical and Electronic Engineers, 2016.
© 2019, IJCSMC All Rights Reserved
126