Hand typist robot modelling for quadriplegic person using extreme learning machine

Dimas A. Kurniawan, Mat Syai'in, S. Kautsar, M. Khoirul Hasin, Boedi Herijono, J. Endrasmono, R. T. Soelistijono, Aang Wahidin, L. Subiyanto, A. S. Setyoko, Adi Soeprijanto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper will present an implementation of Extreme Learning Machine (ELM) in Prototype of Hand Typist Robot (HTR). HTR is Typist Robot which is designed for quadriplegic people. HTR consists of two robotic arms with three dynamixel AX-12 that mounted on each arm. It is mean that each arm has 3 DOF. To operate HTR, user has to equipped with compass sensor (CMPS10), installed on the part of body that has good function. In this paper ELM is used to map and make decision between the signal which sending by CMPS10 and position of alphabet that will be reached by Robot Arm. The advantage of ELM is superior in training process and easy to implement. Using ELM, the relationship between input and output can be present only using one simple matrix. From the experiment result shown that 73 keys of computer keyboard can be reached by HTR with an error 5%. The error is accumulated errors which is caused by vibration of dynamixel AX-12 when it is moving. To minimize the error the HTR need to reset regularly.

Original languageEnglish
Title of host publicationQiR 2017 - 2017 15th International Conference on Quality in Research (QiR)
Subtitle of host publicationInternational Symposium on Electrical and Computer Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages330-335
Number of pages6
ISBN (Electronic)9781509063970
DOIs
Publication statusPublished - 5 Dec 2017
Event15th International Conference on Quality in Research: International Symposium on Electrical and Computer Engineering, QiR 2017 - Nusa Dua, Bali, Indonesia
Duration: 24 Jul 201727 Jul 2017

Publication series

NameQiR 2017 - 2017 15th International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering
Volume2017-December

Conference

Conference15th International Conference on Quality in Research: International Symposium on Electrical and Computer Engineering, QiR 2017
Country/TerritoryIndonesia
CityNusa Dua, Bali
Period24/07/1727/07/17

Keywords

  • Compass sensor (CMPS10)
  • Degrees of Freedom (DOF)
  • Dynamixel AX-12
  • Extreme Learning Machine (ELM)
  • Foldable keyboard
  • Hand Typist Robot (HTR)
  • Quadriplegic person

Fingerprint

Dive into the research topics of 'Hand typist robot modelling for quadriplegic person using extreme learning machine'. Together they form a unique fingerprint.

Cite this