際際滷

際際滷Share a Scribd company logo

RESEARCH PAPER 2

Amandeep Singh
Amandeep Singh

This paper proposes a design for using a smart watch to automatically detect a person's hunger level and order food from nearby restaurants when their hunger reaches a threshold. The smart watch would use electroencephalogram (EEG) sensors to monitor electrical signals in the brain associated with hunger. When the measured hunger level reaches a predefined threshold, the linked smartphone would use GPS to find nearby food options and allow the person to select and pay for a meal to be delivered within 30 minutes. The proposed system aims to help busy people more efficiently manage their daily schedules and food needs.

1 of 4
Download to read offline
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.

More Related Content

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.