scholarly journals A Wearable Brain-Computer Interface Instrument with Aug- Mented Reality-Based Interface for General Applications

2021 ◽  
pp. 23-28
Author(s):  
Ms. Judy Flavia ◽  
◽  
Aviraj Patel ◽  
Diwakar Kumar Jha ◽  
Navnit Kumar Jha ◽  
...  
Keyword(s):  
Eye Movements ◽  
Augmented Reality ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Complex Task ◽  
Control Interface ◽  
Alpha Beta ◽  
User Friendly

In the project we are demonstrating the combined usage Augmented Reality(AR) and brain faced com- puter interface(BI) which can be used to control the robotic acurator by. This method is more simple and more user friendly. Here brainwave senor will work in its normal setting detecting alpha, beta, and gam- ma signals. These signals are decoded to detect eye movements. These are very limited on its own since the number of combinations possible to make higher and more complex task possible. Asa solution to this AR is integrated with the BCI application to make control interface more user friendly. This application can be used in many cases including many robotic and device controlling cases. Here we use BCI-AR to detect eye paralysis that can be archive by detecting eye lid movement of person by wearing head bend.

scholarly journals A Wearable Brain-Computer Interface Instrument with Aug- Mented Reality-Based Interface for General Applications

2021 ◽  
Vol 1 (3) ◽  
pp. 23-28
Author(s):  
Judy Flavia ◽  
Aviraj Patel ◽  
Diwakar Kumar Jha ◽  
Navnit Kumar Jha
Keyword(s):  
Eye Movements ◽  
Augmented Reality ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Complex Task ◽  
Control Interface ◽  
Alpha Beta ◽  
User Friendly

In the project we are demonstrating the combined usage Augmented Reality(AR) and brain faced com- puter interface(BI) which can be used to control the robotic acurator by.This method is more simple and more user friendly. Here brainwave senor will work in its normal setting detecting alpha, beta, and gam- ma signals. These signals are decoded to detect eye movements. These are very limited on its own since the number of combinations possible to make higher and more complex task possible. As a solution to this AR is integrated with the BCI application to make control interface more user friendly. This application can be used in many cases including many robotic and device controlling cases. Here we use BCI-AR to detect eye paralysis that can be archive by detecting eye lid movement of person by wearing headbend.

scholarly journals A Pilot Study of Game Design in the Unity Environment as an Example of the Use of Neurogaming on the Basis of Brain–Computer Interface Technology to Improve Concentration

NeuroSci ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 109-119
Author(s):  
Szczepan Paszkiel ◽  
Ryszard Rojek ◽  
Ningrong Lei ◽  
Maria António Castro
Keyword(s):  
Pilot Study ◽  
Game Design ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Brain Disorders ◽  
Test Results ◽  
Control Interface ◽  
User Friendly ◽  
Graphics Engine ◽  
And Training

The article describes the practical use of Unity technology in neurogaming. For this purpose, the article describes Unity technology and brain–computer interface (BCI) technology based on the Emotiv EPOC + NeuroHeadset device. The process of creating the game world and the test results for the use of a device based on the BCI as a control interface for the created game are also presented. The game was created in the Unity graphics engine and the Visual Studio environment in C#. The game presented in the article is called “NeuroBall” due to the player’s object, which is a big red ball. The game will require full focus to make the ball move. The game will aim to improve the concentration and training of the user’s brain in a user-friendly environment. Through neurogaming, it will be possible to exercise and train a healthy brain, as well as diagnose and treat various symptoms of brain disorders. The project was entirely created in the Unity graphics engine in Unity version 2020.1.

Cerebral Pulse Controlled Robotic Hand for Effective Paralytic Movements

2021 ◽  
Vol 9 (8) ◽  
pp. 2201-2204
Author(s):  
Abhay Patil
Keyword(s):  
Basic Assumption ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Robotic Arm ◽  
Human Hand ◽  
Robotic Hand ◽  
Handicapped People ◽  
Alpha Beta

Abstract: There are roughly 21 million handicapped people in India, which is comparable to 2.2% of the complete populace. These people are affected by various neuromuscular problems. To empower them to articulate their thoughts, one can supply them with elective and augmentative correspondence. For this, a Brain-Computer Interface framework (BCI) has been assembled to manage this specific need. The basic assumption of the venture reports the plan, working just as a testing impersonation of a man's arm which is intended to be powerfully just as kinematically exact. The conveyed gadget attempts to take after the movement of the human hand by investigating the signs delivered by cerebrum waves. The cerebrum waves are really detected by sensors in the Neurosky headset and produce alpha, beta, and gamma signals. Then, at that point, this sign is examined by the microcontroller and is then acquired onto the engineered hand by means of servo engines. A patient that experiences an amputee underneath the elbow can acquire from this specific biomechanical arm. Keywords: Brainwaves, Brain Computer Interface, Arduino, EEG sensor, Neurosky Mindwave Headset, Robotic arm

A Wearable Brain–Computer Interface Instrument for Augmented Reality-Based Inspection in Industry 4.0

2020 ◽  
Vol 69 (4) ◽  
pp. 1530-1539 ◽  
Author(s):  
Leopoldo Angrisani ◽  
Pasquale Arpaia ◽  
Antonio Esposito ◽  
Nicola Moccaldi
Keyword(s):  
Augmented Reality ◽  
Industry 4.0 ◽  
Brain Computer Interface ◽  
Computer Interface
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