Over the years, Lucid Scribe has been used in more than 20 peer-reviewed publications across 15 institutions in 9 countries, some with hundreds of citations on Google Scholar. Below is a selection of these publications, organized by research area.
A comprehensive list with links to each paper is available on the INSPEC research page.
Emotion Recognition and Affective Computing
ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors
R. Subramanian, J. Wache, M.K. Abadi, R.L. Vieriu, S. Winkler, N. Sebe
IEEE Transactions on Affective Computing, 2018
“EEG data samples were logged using the Lucid Scribe software, and all sensor data were recorded via bluetooth. A webcam was used to record facial activity.”
A landmark study with over 600 citations that introduced the ASCERTAIN dataset for multimodal emotion and personality recognition using commercial physiological sensors. Lucid Scribe was used for EEG data acquisition.
Implicit User-Centric Personality Recognition Based on Physiological Responses to Emotional Videos
J. Wache, R. Subramanian, M.K. Abadi, R.L. Vieriu, N. Sebe, S. Winkler
ACM International Conference on Multimedia, 2015
“EEG data samples were logged using the Lucid Scribe software, and all sensor data were synchronized.”
An Efficient Multimodal Emotion Identification Using FOX Optimized Double Deep Q-Learning
R. Selvi, C. Vijayakumaran
Wireless Personal Communications, Springer, 2023
“Utilizing the Lucid Scribe software, the samples of EEG data has been logged and the entire sensor’s data were synchronized.”
Emotion Recognition Using EEG Signals: Accuracy Comparison Between Methods and Frequency Bands
H. Nazemi, A. Taheri, A. Meghdari, M. Moshiri
9th RSI International Conference on Robotics and Mechatronics (IEEE), 2021
“EEG data samples were logged using Lucid Scribe software, and all sensor’s data were synchronized.”
Deep Learning Based Emotion Recognition with Time-Scale Two-Dimensional Transformation from ECG Signals
M.W. Lee, Y.H. Byeon, C.U. Yeom, K.C. Kwak
Journal of the Electrical Society, 2021
“EEG data samples were recorded using Lucid Scribe software and all sensor data was synchronized.”
Utilizing Implicit User Cues for Multimedia Analytics
S. Ramanathan, S.O. Gilani, N. Sebe
Frontiers of Multimedia Research, ACM, 2017
Analysis of Users’ Psycho-Physiological Parameters in Response to Affective Multimedia
M. Khomami Abadi
PhD Thesis, University of Trento, 2017
Implicit Human-Computer Interaction: Two Complementary Approaches
J. Wache
PhD Thesis, 2016
“EEG data samples were logged using the Lucid Scribe software, and all sensor data were synchronized.”
Brain-Computer Interfaces and EEG Education
EEG in Education: A Scoping Review of Hardware, Software, and Methodological Aspects
C. Orovas, T. Sapounidis, C. Volioti, E. Keramopoulos
Sensors (MDPI), 2024
A comprehensive scoping review of EEG hardware and software used in educational research, including Lucid Scribe as a data acquisition tool.
Smart Testing Environment for the Evaluation of Students’ Attention
M. Kadar, P.N. Borza, M. Romanca, D. Iordachescu
Interaction Design and Architecture(s) Journal (IxD&A), 2017
“The lot of students was provided with Mindwave headset and Lucid Scribe software.”
Potentialities and Limitations of the Use of EEG Devices in Educational Contexts
A. Garcia-Monge, H. Rodriguez-Navarro et al.
2023
“Bluetooth sends the signal to the computer, which is collected thanks to Lucid Scribe software.”
New Approaches in Assistive Technologies Applied to Engineering Education
A. Artifice, M. Kadar, J. Sarraipa et al.
Springer International Conference on Interactive Collaborative Learning, 2018
“It was used the headset Mindwave connected to the Lucid Scribe software.”
Intelligent System for Investigating the Effects of the Environment on the Human Brain
G. Andreea, P. Madalina, E. Ceuca et al.
IEEE 30th International Symposium, 2024
Mental Health and Cognitive Science
Machine Learning Based Classifier for Falsehood Detection
H.M. Mallikarjun, P. Manimegalai et al.
IOP Conference Series, 2017
“Lucid Scribe is a venture to record various body signals, perceive Rapid Eye Movement.”
Mental State Evaluation with Machine Learning by Utilizing Brain Signals
H.M. Mallikarjun
IEEE Fourth International Conference on Cognitive Computing and Information Processing, 2022
“Lucid scribe toolkit support to collection of data from the Mobile mind wave, the data exported in CSV files.”
Adaptive Neuro-Fuzzy Inference System for Farmers Depression Stage Prediction
H.M. Mallikarjun, P. Manimegalai
International Journal of Pure and Applied Mathematics, 2017
“Lucid scribe is a software application that helps to collect data from the Mind Wave kit and generates CSV files.”
Manoglanistara: Emotional Wellness Phases Prediction of Adolescent Female Students by Using Brain Waves
H.M. Mallikarjun, P. Manimegalai
Current Signal Transduction Therapy, Bentham Science, 2020
“Lucid Scribe is a package to record various body signals.”
The Brain Imprint of Attention and its Fight Against the Distracting Effect of Pain
D.R.V. Tortorici, D.R.M. Echeverria-Villalobos
Anales de Ciencias, Universidad Metropolitana, 2021
“The signals obtained were processed with the open architecture Lucid Scribe program.”
Sleep Research
Sleep at the Wheel: Wearable Sensors for Detection of Drowsy Driving
D.L.O.D. Pereira
ProQuest Dissertations, 2021
“Lucid Scribe recording example from Neurosky Brainlink. Data is recorded in real-time.”
Methods for Determining the REM Sleep Phase in Humans
V.V. Mozgovoy, A.A. Somova, B.V. Cherkasov et al.
Russian Academy of Sciences, 2017
Referenced Lucid Scribe in a review of methods for REM sleep phase detection.
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