Open AccessImplementing a Brain-Computer Interface Wheelchair in Home-Care Setting: Preliminary Result
Author(s) -
Kamala Krishnan,
Tan Lee Fan,
Danny Wee-Kiat Ng,
Goh Sing Yau
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1372/1/012020
Subject(s) - wheelchair , interface (matter) , brain–computer interface , set (abstract data type) , physical medicine and rehabilitation , test (biology) , data collection , process (computing) , manual wheelchair , computer science , human–computer interaction , medicine , physical therapy , psychology , world wide web , operating system , psychiatry , paleontology , statistics , mathematics , bubble , electroencephalography , maximum bubble pressure method , biology , programming language
This main aim of this study is to implement the brain-computer interface wheelchair in a home-care setting for the occupant’s benefit. Two patients suffered from motor neuron diseases (MND) and were recruited from local elderly home care. The wheelchair was set-up and test trials were conducted prior to the data collection. All the challenges faced during the process of implementation were recorded. Solutions were suggested accordingly.