Title :
iPhone-based portable brain control wheelchair
Author :
Jiang, Lijun ; Tham, Eugene ; Yeo, Mervyn ; Phu, Ong Gia
Author_Institution :
Sch. of Eng., Republic Polytech., Singapore, Singapore
Abstract :
A novel system which uses brain computer interface (BCI) technology and an iPhone to control wheelchair is developed. This system is developed with an aim to assist people suffering from spinal cord injuries (SCI), and amyotrophic lateral sclerosis (ALS), due to the inability to move limbs and body caused by death of nerve cells. The proposed system uses an iPhone to process the brain signals (EEG), specifically the attention signals, and direct corresponding commands to an assistive device, such as wheelchair, wirelessly. Comparing to other BCI system comprises of a bulky laptop and multi-electrodes, the proposed system is portable, cost-effective and ease of use. Potentially, not only people who are suffering from spinal cord injuries can benefit from this system, it extended to assisting elderly or people suffering from limb muscle disorder. The system structure and experimental results will be illustrated in this paper. No similar system is reported yet.
Keywords :
brain-computer interfaces; electroencephalography; handicapped aids; medical disorders; smart phones; wheelchairs; EEG; amyotrophic lateral sclerosis; assistive device; brain computer interface; brain signals; iPhone-based portable brain control wheelchair; limb muscle disorder; spinal cord injuries; Brain computer interfaces; Electroencephalography; Games; Process control; Spinal cord injury; Training; Wheelchairs; Amyotrophic lateral sclerosis (ALS); Brain computer interface(BCI); EEG; spinal cord injuries (SCI);
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-2118-2
DOI :
10.1109/ICIEA.2012.6360978