Work

Distinguishing Difficulty Levels with Non-invasive Brain Activity Measurements

Year: 2009

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-03655-2_50

Authors: Audrey Girouard, Erin Treacy Solovey, Leanne M. Hirshfield, Krysta Chauncey, Angelo Sassaroli, Sergio Fantini, Robert J. K. Jacob

Institution: Tufts University

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Science Foundation, Microsoft Research, U.S. Air Force, Natural Sciences and Engineering Research Council of Canada, Air Force Research Laboratory, Natick Soldier Research, Development and Engineering Center

Awards: HCC: Human-Computer Interaction and Brain Measurement Using fNIR Spectroscopy, Reality-Based Interaction: A New Framework for Understanding the Next Generation of Human-Computer Interfaces

OpenAlex ID: W2106840823

FWCI: 5.569

Cites: 26

Cited by: 67

Related to: 10