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Auto Detection of hunger level metabolism using a
Smart Watch: A Design Approach
Trideep Mahanta
Electronics and Telecommunication
Girijananda Chowdhury Institute of Management and
Technology
Guwahati, India
trideepmhnt@gmail.com
Amandeep Singh
Computer Science & Engineering
University of Petroleum Energy Studies, Dehradun, India
amanbaraut@yahoo.com
Abstract— This paper sublimes a broader prospect in
renovating day to day life with much more extant and vitality
respectively. To galvanize such redemption, the main objective of
this paper is to become an effective tool in helping out people's
metabolic rates of the body and responding to it. For instance,
this paper coherently focuses on the hunger level of the body. As
soon as the hunger level reaches a threshold limit, the
electronically tuned smart watch will respond and the food is
ordered from the respective destination. Collectively, it shall help
people in the metropolitan cities to manage their day schedule
more efficiently.
Keywords— android application, GPS automation,
electroencephalogram, hunger level, smart watch
synchronization.
I. INTRODUCTION
This paper is based on the efficiency of using a smart
watch for accomplishment of people's daily needs which
endeavors the detection of hunger level in a retrospective way.
The hunger level will significantly be simulated only when it
reaches a definite threshold level. A Smart watch would
acknowledge the threshold value and shall address a message
to the nearest restaurant or cafe via GPS connected with a
Smart phone. The person wearing the smart watch shall have
the full liability to instruct the menu items served in
accordance to the day or week. Also the application installed
in the smart phone would have the provision for the customer
to pay the bills through different payment options such as
Cash on delivery, Debit/Credit card and PayPal.
II. COMPONENTS REQUIRED
A. Smart Watch
The Smart watch inhibits different sensors built inside it
which thoroughly measures the hunger level of the human
body. The watch would simultaneously detect the electrical
pulses of the prime sensory system, the brain of our body and
collectively deliver feedback to the watch. This process shall
work on the principle of [1] electroencephalogram or EEG
which would monitor the fluctuation of the electric pulses of
the brain. A pattern of recognition needs to be followed which
resembles the hunger level where a definite threshold value
shall be associated with it.
B. Smart Phone
The Smart phone has an application that is interfaced with
the smart watch respectively. As soon as the
acknowledgement is arrived from the smart watch, the phone
would trigger the application to start in the background
instantaneously. This would be further accompanied by the
searching of the person's location via GPS and thereafter it
starts possessing data of the nearest restaurant or cafe present
respectively. The person has the liability to set the menu items
with respect to the preference of having special course on
weekdays or weekends. Furthermore, the availability of
payment options such as Cash on delivery (COD), credit/debit
card, PayPal etc. would definitely help people for buying with
greater ease. Simultaneously the delivery of the package
would be guaranteed to be arrived within half an hour at
maximum.
III. HUNGER LEVEL DETECTION
These process is enabled by measuring the electrical
signals associated with the functioning of the brain. The signal
frequency used depends on the brain activity of the person.
A. Threshold value detection
The smart watch fetches the electrical spikes from the
brain activity and would calibrate in accordance to the bar
graph shown below. Categorizing the threshold limit, a person
would be feeling uncomfortable [2] as soon as the threshold
limit is 3. If unconditionally, it reaches to a high value of 1
then the person is very much uncomfortable and shall feel
weak and light-headed. Furthermore, whereas a person is
perfectly comfortable when the hunger bar is at 6 and so on.
Figure 1. Hunger Level Detection
B. Interfacing
Corresponding to the detection of the threshold value of
hunger scale, the smart watch now collaborate itself with the
smart phone and interfaces with it accordingly. This process
can be carried out via a Bluetooth or any other peripheral
devices respectively.
C. GPS ranging
The mobile application [3] would trigger instantaneously
at the background as soon as the hunger threshold is detected.
This GPS module would search [4] for the location of the
customer holding the watch and thereby suggest some
restaurants or cafe's around the suburb. These facilitates the
person to choose his own beneficial destination with greater
ease.
D. Browsing
People have the liability to browse through different food
items indefinitely and prior [5] to that can select the items
introspect to the weekdays or weekends.
IV. DESIGN MECHANISM
After detection of the threshold the calibration of the
sensors would restore down and till then the mobile
application built [6] would start as a background menu in the
person's smart phone. This would be in capitulated with
various features and would help the people to order the food
items within short span of time, roughly about half an hour
maximum.
A. Synchronizing hunger level
.
Figure 2(a). When hunger level is high
Figure 2(b). When hunger level is low
B. Detection
Figure 3. Hunger level bar-graph
C. GPS screening
Figure 4. GPS data [7]
Figure 5. Restaurant details
D. Package Delivery
Figure 6. Selection of food course
Figure 7. Payment and delivery
V. FLOW CHART OF THE PROCESS
Figure 8. Flowchart of the design
Acknowledgment
We are grateful to Mr. Ravi Tomar, Assistant Professor,
Computer Science Engineering Department, CIT-UPES,
Dehradun, Mr.H.G.Sastry, Assistant Professor, Mr. Animesh
Malik, Graphic Designer and Mr. Agnimitra Borah, Assistant
Professor, Electronics and Telecommunication Engineering
Department, GIMT, Guwahati for guiding and assisting us in
designing our prospective model thoroughly and skillfully
without any hindrance.
References
[1] Dr.Sunil Kumar Singha,"Biometric Limitations and Solutions" in SGI
Reflections-International Journal of Science, Technology and
Management, April, 2011.
[2] Tracy Olgeaty Gensler, M.S., R.D., Best Life nutritionist, “Get to know
the hunger level”.
[3] MV Uttam Tej, Dhanaraj Cheelu, M.Rajasekhara Babu, P Venkata
Krishna,"Remote Access of Building Management System Alarms
Using Android Mobile Devices"in International Journal of Computer
Information Systems, Vol.2, No.2, 2011.
[4] Md. Palash Uddin, Md. Zahidul Islam, Md. Nadim, Masud Ibn
Afja,"GPS-based Location Tracking System via Android Device"in
International Journal of Research in Computer Engineering and
Electronics,VOL:2,ISSUE:5(Oct-Nov 2013).
[5] I.Badillo, J.Jugo, Univ.Basque Country,Spain and I.Arreondo,
M.Eguiraum, Jorge Feuchtwanger, G.Harper, ESS Bilabao, Spain,"
Android Mobile Monitoring System For Epics Networks: Vacuum
System Application" on proceedings of IPAC2011, San Sebastian,
Spain.
[6] Kushal Singhal, Gandhar Rane, Amruta Ambre, Nikhil Surve, Jayesh
Sonawane,"Location Based Reminder: An Android Application" in
International Journal of Advanced Research in Computer Science and
Software Engineering, January 2015.
[7] Manav Singhal and Anupam Shukla,"Implementation of Location based
Services in Android using GPS and Web Services" in IJCSI
International Journal of Computer Science Issues, January 2012.

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RESEARCH PAPER 2

  • 1. Auto Detection of hunger level metabolism using a Smart Watch: A Design Approach Trideep Mahanta Electronics and Telecommunication Girijananda Chowdhury Institute of Management and Technology Guwahati, India trideepmhnt@gmail.com Amandeep Singh Computer Science & Engineering University of Petroleum Energy Studies, Dehradun, India amanbaraut@yahoo.com Abstract— This paper sublimes a broader prospect in renovating day to day life with much more extant and vitality respectively. To galvanize such redemption, the main objective of this paper is to become an effective tool in helping out people's metabolic rates of the body and responding to it. For instance, this paper coherently focuses on the hunger level of the body. As soon as the hunger level reaches a threshold limit, the electronically tuned smart watch will respond and the food is ordered from the respective destination. Collectively, it shall help people in the metropolitan cities to manage their day schedule more efficiently. Keywords— android application, GPS automation, electroencephalogram, hunger level, smart watch synchronization. I. INTRODUCTION This paper is based on the efficiency of using a smart watch for accomplishment of people's daily needs which endeavors the detection of hunger level in a retrospective way. The hunger level will significantly be simulated only when it reaches a definite threshold level. A Smart watch would acknowledge the threshold value and shall address a message to the nearest restaurant or cafe via GPS connected with a Smart phone. The person wearing the smart watch shall have the full liability to instruct the menu items served in accordance to the day or week. Also the application installed in the smart phone would have the provision for the customer to pay the bills through different payment options such as Cash on delivery, Debit/Credit card and PayPal. II. COMPONENTS REQUIRED A. Smart Watch The Smart watch inhibits different sensors built inside it which thoroughly measures the hunger level of the human body. The watch would simultaneously detect the electrical pulses of the prime sensory system, the brain of our body and collectively deliver feedback to the watch. This process shall work on the principle of [1] electroencephalogram or EEG which would monitor the fluctuation of the electric pulses of the brain. A pattern of recognition needs to be followed which resembles the hunger level where a definite threshold value shall be associated with it. B. Smart Phone The Smart phone has an application that is interfaced with the smart watch respectively. As soon as the acknowledgement is arrived from the smart watch, the phone would trigger the application to start in the background instantaneously. This would be further accompanied by the searching of the person's location via GPS and thereafter it starts possessing data of the nearest restaurant or cafe present respectively. The person has the liability to set the menu items with respect to the preference of having special course on weekdays or weekends. Furthermore, the availability of payment options such as Cash on delivery (COD), credit/debit card, PayPal etc. would definitely help people for buying with greater ease. Simultaneously the delivery of the package would be guaranteed to be arrived within half an hour at maximum. III. HUNGER LEVEL DETECTION These process is enabled by measuring the electrical signals associated with the functioning of the brain. The signal frequency used depends on the brain activity of the person. A. Threshold value detection The smart watch fetches the electrical spikes from the brain activity and would calibrate in accordance to the bar graph shown below. Categorizing the threshold limit, a person would be feeling uncomfortable [2] as soon as the threshold
  • 2. limit is 3. If unconditionally, it reaches to a high value of 1 then the person is very much uncomfortable and shall feel weak and light-headed. Furthermore, whereas a person is perfectly comfortable when the hunger bar is at 6 and so on. Figure 1. Hunger Level Detection B. Interfacing Corresponding to the detection of the threshold value of hunger scale, the smart watch now collaborate itself with the smart phone and interfaces with it accordingly. This process can be carried out via a Bluetooth or any other peripheral devices respectively. C. GPS ranging The mobile application [3] would trigger instantaneously at the background as soon as the hunger threshold is detected. This GPS module would search [4] for the location of the customer holding the watch and thereby suggest some restaurants or cafe's around the suburb. These facilitates the person to choose his own beneficial destination with greater ease. D. Browsing People have the liability to browse through different food items indefinitely and prior [5] to that can select the items introspect to the weekdays or weekends. IV. DESIGN MECHANISM After detection of the threshold the calibration of the sensors would restore down and till then the mobile application built [6] would start as a background menu in the person's smart phone. This would be in capitulated with various features and would help the people to order the food items within short span of time, roughly about half an hour maximum. A. Synchronizing hunger level . Figure 2(a). When hunger level is high Figure 2(b). When hunger level is low B. Detection Figure 3. Hunger level bar-graph
  • 3. C. GPS screening Figure 4. GPS data [7] Figure 5. Restaurant details D. Package Delivery Figure 6. Selection of food course Figure 7. Payment and delivery V. FLOW CHART OF THE PROCESS Figure 8. Flowchart of the design
  • 4. Acknowledgment We are grateful to Mr. Ravi Tomar, Assistant Professor, Computer Science Engineering Department, CIT-UPES, Dehradun, Mr.H.G.Sastry, Assistant Professor, Mr. Animesh Malik, Graphic Designer and Mr. Agnimitra Borah, Assistant Professor, Electronics and Telecommunication Engineering Department, GIMT, Guwahati for guiding and assisting us in designing our prospective model thoroughly and skillfully without any hindrance. References [1] Dr.Sunil Kumar Singha,"Biometric Limitations and Solutions" in SGI Reflections-International Journal of Science, Technology and Management, April, 2011. [2] Tracy Olgeaty Gensler, M.S., R.D., Best Life nutritionist, “Get to know the hunger level”. [3] MV Uttam Tej, Dhanaraj Cheelu, M.Rajasekhara Babu, P Venkata Krishna,"Remote Access of Building Management System Alarms Using Android Mobile Devices"in International Journal of Computer Information Systems, Vol.2, No.2, 2011. [4] Md. Palash Uddin, Md. Zahidul Islam, Md. Nadim, Masud Ibn Afja,"GPS-based Location Tracking System via Android Device"in International Journal of Research in Computer Engineering and Electronics,VOL:2,ISSUE:5(Oct-Nov 2013). [5] I.Badillo, J.Jugo, Univ.Basque Country,Spain and I.Arreondo, M.Eguiraum, Jorge Feuchtwanger, G.Harper, ESS Bilabao, Spain," Android Mobile Monitoring System For Epics Networks: Vacuum System Application" on proceedings of IPAC2011, San Sebastian, Spain. [6] Kushal Singhal, Gandhar Rane, Amruta Ambre, Nikhil Surve, Jayesh Sonawane,"Location Based Reminder: An Android Application" in International Journal of Advanced Research in Computer Science and Software Engineering, January 2015. [7] Manav Singhal and Anupam Shukla,"Implementation of Location based Services in Android using GPS and Web Services" in IJCSI International Journal of Computer Science Issues, January 2012.