Human-computer-interface for controlling the assistive technology device

Osmalina Nur Rahma, Maydiana Nurul Kurniawati, Akif Rahmatillah, Khusnul Ain

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

3 Citations (Scopus)

Abstract

Imagining a motion without doing the actual movement is known as Motor imaginary (MI). However, translating MI as an input for BCI that control the Assistive Technology (AT) device was a challenging method due to the extensive training required, poor user engagement, and visual feedback response delays. For a person who has difficulties to imagine without visual stimulation, more training should be conducted. Even with a visual stimulus, sometimes a person still finds it hard to distinguish between one movement and another. So, finding a suitable input to control an AT device that suitable for someone who has extremely limited movement is very challenging. In the other hand, EEG signal had been proven sufficient in detecting facial expression. Even though the EEG signal contains EMG facial artifact and considered as an unwanted signal for BCI, facial movement artifact could become a compensator signal for EEG based Human Computer Interface (HCI) system to improve efficiency. This study aims to develop HCI systems to distinguish three different movements (forward, backward, and stop) EEG signals that recorded from EEG EMOTIV Epoc based on different facial expression. This HCI system could bring benefit if it is implemented for AT device, such as rollator since the user could easily distinguish different movement without any visual stimuli required so could reduce an extensive training before usage and could improve the quality of life people with limited extremity movement.

Original languageEnglish
Title of host publication2nd International Conference on Physical Instrumentation and Advanced Materials 2019
EditorsHerri Trilaksana, Sulaiman Wadi Harun, Cameron Shearer, Moh Yasin
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735440562
DOIs
Publication statusPublished - 9 Dec 2020
Event2nd International Conference on Physical Instrumentation and Advanced Materials, ICPIAM 2019 - Surabaya, Indonesia
Duration: 22 Oct 2019 → …

Publication series

NameAIP Conference Proceedings
Volume2314
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2nd International Conference on Physical Instrumentation and Advanced Materials, ICPIAM 2019
Country/TerritoryIndonesia
CitySurabaya
Period22/10/19 → …

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