A platform for research: civil engineering, architecture and urbanism
Towards Photonic Sensor based Brain-Computer Interface (BCI)
In any Internet of Things (IoT) application, the importance of a good and accurate sensor cannot be over emphasized. It is even more so in Brain-Computer Interface (BCI) systems wherein the most complex organ in the body is a component part. In this paper, we performed a study on photonic sensing and present a model of a specific photonic sensor for BCI applications as a preliminary effort in creating a better alternative to the conventional electroencephalography (EEG) and achieving smarter BCI systems. Photonic sensors are light-weight, consume less energy and provide low latency. These qualities and more endorse photonic sensing as a suitable candidate for achieving the desired smartness in BCI systems development. The modeled photonic sensor makes use of a dome-shaped microscale laser as a sensing element and its operation relies on the principle of morphology-dependent resonance (MDR) in which the wavelength at resonance is shifted based on the morphology of the micro-scale laser, as affected by its physical environment. The modeling is done using Simulink® and the modeled sensor produced the same results as the actual photonic sensor.
Towards Photonic Sensor based Brain-Computer Interface (BCI)
In any Internet of Things (IoT) application, the importance of a good and accurate sensor cannot be over emphasized. It is even more so in Brain-Computer Interface (BCI) systems wherein the most complex organ in the body is a component part. In this paper, we performed a study on photonic sensing and present a model of a specific photonic sensor for BCI applications as a preliminary effort in creating a better alternative to the conventional electroencephalography (EEG) and achieving smarter BCI systems. Photonic sensors are light-weight, consume less energy and provide low latency. These qualities and more endorse photonic sensing as a suitable candidate for achieving the desired smartness in BCI systems development. The modeled photonic sensor makes use of a dome-shaped microscale laser as a sensing element and its operation relies on the principle of morphology-dependent resonance (MDR) in which the wavelength at resonance is shifted based on the morphology of the micro-scale laser, as affected by its physical environment. The modeling is done using Simulink® and the modeled sensor produced the same results as the actual photonic sensor.
Towards Photonic Sensor based Brain-Computer Interface (BCI)
Olokodana, Ibrahim L. (author) / Mohanty, Saraju P. (author) / Kougianos, Elias (author) / Manzo, Maurizio (author)
2018-09-01
327784 byte
Conference paper
Electronic Resource
English
Brain computer interface based robotic arm control
IEEE | 2017
|Review of Machine Learning Techniques for EEG Based Brain Computer Interface
Online Contents | 2022
|A new auditory brain-computer interface based on stream segregation utilizing ASSR
TIBKAT | 2024
|