Eye Controlled Robotic Chair with Night Vision Camera

  • Authors

    • G Harish Babu
    • Dr N. Venkatram
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10878
  • Camera, GPS, GSM, , Image Processing, Open Computer vision Library, Python, Raspberry Pi, Wheel chair.
  • According to Census 2011, in India the population is 121 Cr, from the aggregate residents 2.68 Cr individuals are impaired i.e 2.21 percent of the aggregate residents. From the 2.68 Cr impaired individuals 20 percent of the people disability in movement. Our project is an attempt to make lives of the people suffering from this phenomenon simple. In this framework controlling of wheel chair is depends upon the movements of patient’s Eye [1].  A camera is placed before the user, to catch the picture of the eye & footmarks the locale of eye pupil.  Camera used here is Night vision camera which works during night time and as well as daytime and will also work during low lightings. As per the position of eye pupil, wheel chair will be coordinated to move left, appropriate, forward and in reverse. The previous algorithms which are developed for this type of project doesn’t support for the people with squint eye and supports only for the people with 2 perfect pupils, and those algorithms are works only in clear light conditions but this project supports for the people with squint eye as well as people with 2 perfect pupils and works during low lightings. The person can stop the chair by closing his eyes whenever he needs. Moreover, a ultrasonic sensor is ascended in front, so that it can recognize the snags and naturally stop the wheel chair. A GPS module is inserted which finds the location of the wheel chair. A GSM module is inserted which sends the messages in case of emergency situations.  This project provides an option called voice module which is inserted and works based on the commands of the patients.

     

     

  • References

    1. [1] Yash Pathak, Samir Akhare, And Vishal Lambe- Iris Movement Tracking By Morphological Operations For Direction Control,. September 2012.

      [2] Sarangi, P., Grassi, V., Kumar, V., Okamoto, J.:‖ Integrating Human Input With Autonomous Behaviours On An Intelligent Wheelchair Platform‖, Journal Of Ieee Intelligent System, 22, 2, 33-41, [2007].

      [3] Deepak Kumar Lodhi1 , Prakshi Vats1 , Addala Varun1 , Prashant Solanki1 , Ritakshi Gupta1 , Manoj Kumar Pandey2 , Rajat Butola2. Smart Electronic Wheelchair Using Arduino And Bluetooth Module In International Journal Of Computer Science And Mobile Computing, Vol.5 Issue.5, May- 2016, Pg. 433-438

      [4] Archibald Danquah-Amoah1 , Daniel Amiteye2 Bassey, Glory Basiono3, Edem, Deborah Okon4 , Alwell Brown Nyingiere5,†Assistive Robotic Wheelchair Using Voice And Bluetooth Control†In International Journal Of Scientific Research Engineering & Technology (Ijsret) Volume 2 Issue 9 Pp 553-559 December 2013.

      [5] Matt Bailey, Et. Al, ―Development Of Vision Based Navigation For A Robotic Wheelchair‖, In Proceedings Of 2007 Ieee 10th International Conference On Rehabilitation Robotics.

      [6] Autonomous Camera Based Eye Controlled Wheelchair System Using Raspberry-Pi, Shyam Narayan Patel, Ieee Sponsored 2nd International Conference, 2015.

      [7] Shafi. M, Chung. P. W. H:‖A Hybrid Method For Eyes Detection In Facial Images‖, International Journal Of Electrical, Computer, And Systems Engineering, 231-236, [2009].

      [8] Luong D. T, Lee H. C, Park K. R, Lee H. K, Park M. S, Cha J (2010) A System For Controlling Iptv At A Distance Using Gaze Tracking. Proc. Ieee Summer Conference. 33: 37-40.

      [9] M.Wu, J.-H. She, G.-X. Zeng, And Y. Ohyama, ―Internet-Based Teaching And Experiment System For Control Engineering Course,‖ Ieee Trans. Ind. Electron., Vol. 55, No. 6, Pp. 2386–2396, Jun. 2008.

      [10] D. Purwanto, R. Mardiyanto, K. Arai: ‖ Electric Wheelchair Control With Gaze Direction And Eye Blinking‖, Proceedings Of The Fourteenth International Symposium On Artificial Life And Robotics, Gs21-5, B-Con Plaza, Beppu, [2008].

      [11] Cho C. W, Lee J. W, Shin K. Y, Lee E. C, Park K. R, Lee H, Cha J (2012) Gaze Detection By Wearable Eye Tracking And Nir Led-Based Head†Tracking Device Based On Svr. Etri Journal 34: 542-552..

      [12] Autonomous Camera Based Eye Controlled Wheelchair System Using Raspberry-Pi, Shyam Narayan Patel, Ieee Sponsored 2nd International Conference, 2015.

      [13] Wojciech Wojcikiewicz, “Hough Transform, Line Detection In Robot Soccerâ€, Coursework For Image Processing. 14th March 2008.

      [14] Eye Controlled Wheelchair, Sandesh Pai, Sagar Ayare, Romil Kapadia, And October-2012. ―Iris Movement Tracking By Morphological Operations For Direction Control‖, Yash Pathak, Samir Akhare, And Vishal Lambe. September 2012.

      [15] Kumar, R.; Kumar, H., "Availability And Handling Of Data Received Through Gps Device: In Tracking A Vehicle," Advance Computing Conference (Iacc), 2014 Ieee International, Vol., No., Pp.245, 249, 21- 22 Feb. 2014.

      [16] Seokju Lee; Tewolde, G.; Jaerock Kwon, "Design And Implementation Of Vehicle Tracking System Using Gps/Gsm/Gprs Technology And Smartphone Application," Internet Of Things (Wf-Iot), 2014 Ieee World Forum On , Vol., No., Pp.353,358, 6-8 March 2014.

      [17] Madhav, B.T.P., Mohan Reddy, S.S., Sharma, N., Ravindranath Chowdary, J., Pavithra, B.R., Kishore, K.N.V.S., Sriram, G. And Sachin Kumar, B., 2013. Performance Characterization Of Radial Stub Microstrip Bow-Tie Antenna. International Journal Of Engineering And Technology, 5(2), Pp. 760-764.

      [18] Kishore, P.V.V., Kishore, S.R.C. And Prasad, M.V.D., 2013. Conglomeration Of Hand Shapes And Texture Information For Recognizing Gestures Of Indian Sign Language Using Feed Forward Neural Networks. International Journal Of Engineering And Technology, 5(5), Pp. 3742-3756.

      [19] Kishore, P.V.V., Sastry, A.S.C.S. And Kartheek, A., 2014. Visual-Verbal Machine Interpreter For Sign Language Recognition Under Versatile Video Backgrounds, 1st International Conference On Networks And Soft Computing, Icnsc 2014 - Proceedings 2014, Pp. 135-140.

      [20] Kishore, P.V.V., Prasad, M.V.D., Prasad, C.R. And Rahul, R., 2015. 4-Camera Model For Sign Language Recognition Using Elliptical Fourier Descriptors And Ann, International Conference On Signal Processing And Communication Engineering Systems - Proceedings Of Spaces 2015, In Association With Ieee 2015, Pp. 34-38.

      [21] Vudatha, C.P., Nalliboena, S., Jammalamadaka, S.K.R., Duvvuri, B.K.K., Reddy, L.S.S., Automated Generation Of Test Cases From Output Domain Of An Embedded System Using Genetic Algorithms, Icect 2011 - 2011 3rd International Conference On Electronics Computer Technology
      5,5941989, Pp. 216-220

      [22] Sastry, J.K.R., Ganesh, J.V., Bhanu, J.S., I2c Based Networking For Implementing Heterogeneous Microcontroller Based Distributed Embedded Systems, Indian Journal Of Science And Technology, Volume 8, Issue 15, 2015

  • Downloads

  • How to Cite

    Harish Babu, G., & N. Venkatram, D. (2018). Eye Controlled Robotic Chair with Night Vision Camera. International Journal of Engineering & Technology, 7(2.7), 536-541. https://doi.org/10.14419/ijet.v7i2.7.10878