NDLI: MuLES: An Open Source EEG Acquisition and Streaming Server for Quick and Simple Prototyping and Recording

Please wait, while we are loading the content...

Automatic Generation and Insertion of Assessment Items in Online Video Courses

Towards a Crowd-based Picture Schematization System

The News Context Project

Visual Text Analytics for Asynchronous Online Conversations

MuLES: An Open Source EEG Acquisition and Streaming Server for Quick and Simple Prototyping and Recording

Real-Time Emotion Detection for Neuro-Adaptive Systems

Towards Integrating Real-Time Crowd Advice with Reinforcement Learning

Clinical Text Analysis Using Interactive Natural Language Processing

User-Interfaces for Incremental Recipient and Response Time Predictions in Asynchronous Messaging

Perceptive Home Energy Interfaces: Navigating the Dynamic Household Structure

Interactive Control and Visualization of Difficulty Inferences from User-Interface Commands

On-Body Interaction for Optimized Accessibility

OfficeHours: A System for Student Supervisor Matching through Reinforcement Learning

Assisting End Users in the Design of Sonification Systems

From "Overview" to "Detail": An Exploration of Contextual Transparency for Public Transparent Interfaces

Multimodal Interactive Machine Learning for User Understanding

WallSHOP: Multiuser Interaction with Public Digital Signage using Mobile Devices for Personalized Shopping

A Revisit to The Identification of Contexts in Recommender Systems

Surveying Older Adults About a Recommender System for a Digital Library

AmbLEDs: Context-Aware I/O for AAL Systems

A Task-Centered Interface for On-Line Collaboration in Science

Know your Surroundings with an Interactive Map

VizRec: A Two-Stage Recommender System for Personalized Visualizations

Extended Virtual Presence of Therapists through Home Service Robots

Mechanix: A Sketch-Based Educational Interface

An Interactive Pedestrian Environment Simulator for Cognitive Monitoring and Evaluation

Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design

Robot Companions and Smartpens for Improved Social Communication of Dementia Patients

Data Privacy and Security Considerations for Personal Assistants for Learning (PAL)

Framework for Realizing a Free-Target Eye-tracking System

Intelligent Search for Biologically Inspired Design

USHER: An Intelligent Tour Companion

Human-Machine Cooperative Viewing System for Wide-angle Multi-view Videos

Hairware: Conductive Hair Extensions as a Capacitive Touch Input Device

MindMiner: Quantifying Entity Similarity via Interactive Distance Metric Learning

A Model for Data-Driven Sonification Using Soundscapes

MuLES: An Open Source EEG Acquisition and Streaming Server for Quick and Simple Prototyping and Recording

Content Provider	ACM Digital Library
Author	Falk, Tiago H. Cassani, Raymundo Banville, Hubert
Abstract	The past few years have seen the availability of consumer electroencephalography (EEG) devices increase significantly. These devices, usually with a compact form factor and affordable price, now allow researchers and enthusiasts to use EEG in various new contexts and environments. However, the many consumer headsets often require extensive programming experience to interface with their respective drivers; moreover, standardization of the access and recording of EEG data across the devices still remains to be done. Consequently, a tool is needed to facilitate the recording and streaming of EEG data from consumer headsets that can easily be interfaced with different programming languages and software, and that allows interchangeability between devices. This paper describes the open source MuSAE Lab EEG Server (MuLES), an EEG acquisition and streaming server that aims at creating a standard interface for portable EEG headsets, in order to accelerate the development of brain-computer interfaces (BCIs) and of general EEG use in novel contexts. In addition to the EEG server interface which currently supports five different consumer devices and session playback, clients are developed for use on different platforms and in various programming languages, making prototyping and recording a quick and simple task. To validate the functionality and usability of the EEG server, a use case highlighting its main features is presented. The developed tool simplifies the acquisition and recording of EEG data from portable consumer devices by providing a single efficient interface, with applications in areas such as basic and behavioural research, prototyping, neurogaming, live performance and arts.
Starting Page	9
Ending Page	12
Page Count	4
File Format	PDF
ISBN	9781450333085
DOI	10.1145/2732158.2732193
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-03-29
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Portable eeg Electroencephalography (eeg) Brain-computer interface (bci) Neurofeedback Neurogaming
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Erratum to: Electroencephalography (EEG)-based neurofeedback training for brain–computer interface (BCI)

Rapid prototyping of an EEG-based brain-computer interface (BCI)

An olfactory-based Brain-Computer Interface: electroencephalography changes during odor perception and discrimination.

Evaluation of EEG features during overt visual attention during neurofeedback game

On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface

Asynchronous BCI Based on Motor Imagery With Automated Calibration and Neurofeedback Training

Single-Trial EEG Source Reconstruction for Brain–Computer Interface

Hybrid EEG and fMRI platform for multi-modal neurofeedback

BCI based multi-player 3-D game control using EEG for enhancing attention and memory

MuLES: An Open Source EEG Acquisition and Streaming Server for Quick and Simple Prototyping and Recording

Similar Documents

Erratum to: Electroencephalography (EEG)-based neurofeedback training for brain–computer interface (BCI)

Rapid prototyping of an EEG-based brain-computer interface (BCI)

An olfactory-based Brain-Computer Interface: electroencephalography changes during odor perception and discrimination.

Evaluation of EEG features during overt visual attention during neurofeedback game

On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface

Asynchronous BCI Based on Motor Imagery With Automated Calibration and Neurofeedback Training

Single-Trial EEG Source Reconstruction for Brain–Computer Interface

Hybrid EEG and fMRI platform for multi-modal neurofeedback

BCI based multi-player 3-D game control using EEG for enhancing attention and memory

MuLES: An Open Source EEG Acquisition and Streaming Server for Quick and Simple Prototyping and Recording