Review on Hardware's Used for an Automated Assistance System for Physically Challenged

Authors

  • Gouri M.S.  Department of Electronics and Communication Engineering, Noorul Islam University, Thuckalay, Tamil Nadu, India
  • Dr. K.S. Vijula Grace  Department of Electronics and Communication Engineering, Noorul Islam University, Thuckalay, Tamil Nadu, India

Keywords:

Electroencephalogram, Brain machine interface or Brain controlled computer, deep learning, robotic locomotion

Abstract

In the current scenario, Robots are in great scope in the field of Medicity, Industries and even in Human Assistance. Even though these are of great use, when it comes to field of human assistance, cost and space have their own impact. The main issue regarding robots in this field is Machine Man Interaction. Therefore, an assistance system with low space occupancy and low cost is definitely a great a project to be implemented. Hereby, an assistance system that is being controlled by brain signals being introduced where the robot (so called assistance system) can perform as per the human thoughts. This can be highly helpful for those who faces the issue with speech. i.e. dumped

References

  1. https://scihub.tw/https://doi.org/10.1109/ROMAN.1996.568803
  2. A Novel Fall Prevention Scheme for Intelligent Cane Robot by Using a Motor Driven Universal Joint Pei DiI, Student Member, IEEE, Jian Huang 2, Member, IEEE, Kosuke Sekiyamai and Toshio Fukudai, Fellow, IEEE l Department of Micro System Engineering, Nagoya University, Chikusa-ku, Nagoya, 464-8603, Japan 2Department of Control Science & Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
  3. https://www.theguardian.com/technology/2015/feb/27/robear-bear-shaped-nursing-care-robot
  4. https://robots.ieee.org/robots/kuri/
  5. https://www.generationrobots.com/blog/en/romeo-naos-big-brother-robot/
  6. https://buddytherobot.com/en/buddy-the-emotional-robot /
  7. Study of Fall Detection Using Intelligent Cane Based on Sensor Fusion Jian Huang',2, PeiDi', Kouhei Wakita', Toshio Fukuda',and Kosuke Sekiyama' 1) 'Department of Micro System Engineering, NagoyaUniversity, 464-8603 Chikusa-ku, Nagoya, Japan 2) Department of Control Science & Engineering,Huazhong University of Science andTechnology, 430074,Wuhan, China
  8. A Review of Technology Advances for Assisting Paralyzed People, IEEE TEchnology and SocIETy MagazInE ? JUNE 2017
  9. https://home.roboticlab.eu/en/microcontrollers
  10. https://www.springer.com/gp/book/9780792307808
  11. https://en.wikibooks.org/wiki/Robotics/Computer_Control/The_Interface/Microcontrollers
  12. Sensors for Robots.pdf
  13. http:/en.m.wikipedia.org/wiki/Tactile_sensor
  14. A RSSI-based Algorithm for Indoor Localization Using ZigBee in Wireless Sensor Network , Yu-Tso Chen1, Chi-Lu Yang1,2, Yeim-Kuan Chang1, Chih-Ping Chu1 1) Department of Computer Science and Information Engineering, National Cheng Kung University ,2) Innovative DigiTech-Enabled Applications & Service Institute, Institute for Information Industry Tainan, Taiwan R.O.C. 2Kaohsiung, Taiwan R.O.C. {p7696147, p7896114, ykchang, chucp}@mail.ncku.edu.tw
  15. A Comprehensive Study of Three Object Triangulation , Charles Cohen and Frank V. Koss University of Michigan, Department of Electrical Engineering and Computer Science Advanced Technology Laboratory, Artificial Intelligence Laboratory 1101 Beal Ave., Ann Arbor, MI 48109 charles@zip.eecs.umich.edu koss@caen.engin.umich.edu
  16. Generalized Geometric Triangulation Algorithm for Mobile Robot Absolute Self- Localization , João SENA ESTEVES1, Adriano CARVALHO2, Member, IEEE, Carlos COUTO3, Member, IEEE 1,3 DEI , University of Minho, Campus of Azurém, 4800-058 GUIMARÃES, Portugal, e-mail : (sena1ccouto3)@dei.uminho.pt 2 DEEC., Faculty of Engineering, University of Porto, R. Dr. Roberto Frias, 4200-465 PORTO, Portugal, email: asc@fe.up.pt
  17. A WSNs-based Approach and System for Mobile Robot Navigation, Huawei Liang, Tao Mei and ax Q.-H. Meng Institute of Intelligent Machine, Chinese Academy of Sciences China.
  18. Review Brain–Computer Interface Spellers: A Review, Aya Rezeika ID , Mihaly Benda ID , Piotr Stawicki ID , Felix Gembler, Abdul Saboor and Ivan Volosyak * ID Faculty of Technology and Bionics, Rhine-Waal University of Applied Sciences, 47533 Kleve ,Germany; aya.rezeika@hochschule-rhein waal.de(A.R.); mihaly.benda@hochschule-rhein-waal.de(M.B.); piotr.stawicki@hochschule-rhein-waal.de(P.S.); felix.gembler@hochschule-rhein-waal.de(F.G.); abdul.saboor@hochschule-rhein waal.de(A.S.)*Correspondence:ivan.volosyak@hochschule-rhein-waal.de; Tel.: +49-2821-8067-3643, Received: 21 February 2018; Accepted: 27 March 2018; Published: 30 March 2018
  19. Secure Brain to Brain Communication with Edge Computing for Assisting Post-Stroke Paralyzed Patients, Sreeja Rajesh, Varghese Paul, Varun G Menon, Member, IEEE, Sunil Jacob and Vinod P
  20. https://en.wikipedia.org/wiki/Euler%E2%80%93Lagrange_equation
  21. Using Thermoelectrics for Power Supplying of Wireless Sensors Network Denis Artyukhov, Igor Burmistrov Department of Chemistry and Materials Chemistry Yuri Gagarin State Technical University of Saratov Saratov, Russia mr.tokve@gmail.com, glas100@yandex.ru Ivan Artyukhov, Vadim Alekseev Department of Power Supply and Electrotechnologies Yuri Gagarin State Technical University of Saratov Saratov, Russia ivart54@mail.ru, alekseevvs_sstu@mail.ru

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Published

2021-04-10

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Section

Research Articles

How to Cite

[1]
Gouri M.S., Dr. K.S. Vijula Grace, " Review on Hardware's Used for an Automated Assistance System for Physically Challenged, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.50-55, March-April-2021.