Title :
Hybrid-BCI smart glasses for controlling electrical devices
Author :
Yongwon Kim;Netiwit Kaongoen;Sungho Jo
Author_Institution :
Intelligent Systems &
fDate :
7/1/2015 12:00:00 AM
Abstract :
We are surrounded by diverse objects such as televisions, light switches, and computers that we must interact with in our everyday life. Often, this interaction should be done simultaneously with other work. To accomplish this without restricting the user´s action, we propose a wearable glasses-type device that enables this interaction using eye movements and brain activity. The wearable design minimizes the behavioral restrictions in a daily life scenario. Our device uses a natural and intuitive method to determine the user´s interest by tracking his gaze, and triggering operations by analyzing his thinking and natural response to visual stimulation using binary classification and steady state visually evoked potential (SSVEP) of Brain-Computer Interface (BCI) technique, respectively. The combination of these features enables our device to provide hands-free and remote interaction between a human and an object (in this specific case, a television). Participants in our user evaluation reported that our device and its application strategy were intuitive, natural, and easy to understand when interacting with objects. The average performance time for the system to switch on the interest object (television) was 4.43 ± 9.93 [mean (s) ± SD] seconds and the overall average accuracy for remote control function was 70.83%.
Keywords :
"TV","Performance evaluation","Electroencephalography","Accuracy","Gaze tracking","Cameras","Calibration"
Conference_Titel :
Society of Instrument and Control Engineers of Japan (SICE), 2015 54th Annual Conference of the
DOI :
10.1109/SICE.2015.7285345