Email
i.daly@essex.ac.ukTelephone
+44 (0) 1206 872015
Location
1NW.5.3D, Colchester Campus
Academic support hours
My Academic Support Hours will be 10-11 on Wednesday and Thursday. I am available on Zoom and in my office. Zoom: the link for this is available from my profile on my CE161-NW/CE162-NW course MOODLE page. Please wait in the waiting room until I can admit you. In person: My office is 1NW.5.3D
Biography
I received an M.Eng. degree in Computer science in 2006 and a Ph.D. degree in Cybernetics in 2011 from the University of Reading, U.K. Between May 2011 2013 I worked as a post-doctoral researcher in the Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria. There I researched Brain-computer interfaces (BCIs) for individuals with stroke and cerebral palsy. I then worked for three years in the University of Reading developing BCIs for music therapy.
Research interests
Brain-computer interfacing
Research and development of devices to support communication between the human brain and a computer.
Machine learning
Understanding how computers can be taught to recognise, identify, and/or predict patterns in data.
Signal processing
Functional neural connectivity
Understanding and modelling how neural activity in different brain areas relate to one another and how these relationships change over time and with function.
EEG
Use of EEG to measure and understand brain function, development of signal processing and machine learning methods to understand the EEG, and the use of EEG in the control of brain-computer interfaces.
fNIRS
fMRI
Motor control
Understanding the human motor system and how the brain acts to plan and coordinate movement.
Motor rehabilitation
Development of BCI systems to aid movement rehabilitation after injury or disease.
Brain stimulation
Use of brain stimulation to explore motor control, movement planning, and motor learning.
Current teaching responsibilities
Fundamentals of Digital Systems (CE161)
Digital Electronic Systems (CE162)
Current supervision
Previous supervision
Degree subject: Computing and Electronic Systems
Degree type: Doctor of Philosophy
Awarded date: 25/2/2025
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 30/9/2024
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 14/2/2023
Journal articles (77)
Rybar, M., Poli, R. and Daly, I., Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools. Scientific data
Jin, J., Xiao, W., Daly, I., Weijie, C., Xinjie, H., Xingyu, W. and Andrzej, C., (2025). Squeeze and Excitation-Based Multiscale CNN for Classification of Steady-State Visual Evoked Potentials. IEEE Internet of Things Journal. 12 (5), 5822-5833
Jin, J., Zhao, X., Daly, I., Li, S., Wang, X. and Cichocki, A., (2025). A Growing Bubble Speller Paradigm for Brain-Computer Interface Based on Event-related Potentials. IEEE Transactions on Biomedical Engineering. 72 (3), 1188-1199
Rybar, M., Poli, R. and Daly, I., (2024). Corrigendum: Decoding of semantic categories of imagined concepts of animals and tools in fNIRS. Journal of Neural Engineering. 21 (2), 029501-029501
Jin, J., Xu, R., Daly, I., Zhao, X., Wang, X. and Cichocki, A., (2024). MOCNN: A Multi-scale Deep Convolutional Neural Network for ERP-based Brain-Computer Interfaces. IEEE Transactions on Cybernetics. 54 (9), 5565-5576
Li, S., Daly, I., Guan, C., Cichocki, A. and Jin, J., (2024). Inter-participant transfer learning with attention based domain adversarial training for P300 detection. Neural Networks. 180, 106655-106655
Rybar, M., Poli, R. and Daly, I., (2024). Using data from cue presentations results in grossly overestimating semantic BCI performance. Scientific Reports. 14 (1), 28003-
Daly, I., Williams, N. and Nasuto, SJ., (2024). TMS-evoked potential propagation reflects effective brain connectivity. Journal of Neural Engineering. 21 (6), 066038-066038
Liang, W., Jin, J., Daly, I., Sun, H., Wang, X. and Cichocki, A., (2023). Novel channel selection model based on graph convolutional network for motor imagery. Cognitive Neurodynamics. 17 (5), 1283-1296
Daly, I., (2023). Neural decoding of music from the EEG. Scientific Reports. 13 (1), 624-
Sun, H., Jin, J., Daly, I., Huang, Y., Zhao, X., Wang, X. and Cichocki, A., (2023). Feature learning framework based on EEG graph self-attention networks for motor imagery BCI systems. Journal of Neuroscience Methods. 339, 109969-109969
Xie, X., Zhang, D., Yu, T., Duan, Y., Daly, I. and He, S., (2023). Editorial: Explainable and advanced intelligent processing in the brain-machine interaction. Frontiers in Human Neuroscience. 17, 1280281-
Wu, R., Jin, J., Daly, I., Wang, X. and Cichocki, A., (2023). Classification of Motor Imagery Based on Multi-Scale Feature Extraction and the Channel-Temporal Attention Module.. IEEE transactions on neural systems and rehabilitation engineering. 31, 3075-3085
Li, S., Jin, J., Daly, I., Liu, C. and Cichocki, A., (2022). Feature selection method based on Menger curvature and LDA theory for a P300 brain–computer interface. Journal of Neural Engineering. 18 (6), 066050-066050
Jin, J., Sun, H., Daly, I., Li, S., Liu, C., Wang, X. and Cichocki, A., (2022). A Novel Classification Framework Using the Graph Representations of Electroencephalogram for Motor Imagery based Brain-Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30, 20-29
Rybář, M. and Daly, I., (2022). Neural decoding of semantic concepts: A systematic literature review.. Journal of Neural Engineering. 19 (2), 021002-021002
Liu, C., Jin, J., Daly, I., Sun, H., Huang, Y., Wang, X. and Cichocki, A., (2022). Bispectrum-based hybrid neural network for motor imagery classification. Journal of Neuroscience Methods. 375, 109593-109593
Liu, C., Jin, J., Daly, I., Li, S., Sun, H., Huang, Y., Wang, X. and Cichocki, A., (2022). SincNet-Based Hybrid Neural Network for Motor Imagery EEG Decoding.. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30, 540-549
Al-Taie, I., Di Giuseppantonio Di Franco, P., Tymkiw, M., Williams, D. and Daly, I., (2022). Sonic enhancement of virtual exhibits. PLoS One. 17 (8), e0269370-e0269370
Fang, H., Jin, J., Daly, I. and Wang, X., (2022). Feature Extraction Method Based on Filter Banks and Riemannian Tangent Space in Motor-Imagery BCI.. IEEE Journal of Biomedical and Health Informatics. 26 (6), 2504-2514
Daly, I., (2021). Neural component analysis: A spatial filter for electroencephalogram analysis. Journal of Neuroscience Methods. 348, 108987-108987
Miao, Y., Jin, J., Daly, I., Zuo, C., Wang, X., Cichocki, A. and Jung, T-P., (2021). Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification.. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29, 699-707
Li, S., Jin, J., Daly, I., Wang, X., Lam, H-K. and Cichocki, A., (2021). Enhancing P300 based character recognition performance using a combination of ensemble classifiers and a fuzzy fusion method. Journal of Neuroscience Methods. 362, 109300-109300
Daly, I., (2021). Removal of physiological artifacts from simultaneous EEG and fMRI recordings. Clinical Neurophysiology. 132 (10), 2371-2383
Daly, I., Matran-Fernandez, A., Valeriani, D., Lebedev, M. and Kübler, A., (2021). Editorial: Datasets for Brain-Computer Interface Applications. Frontiers in Neuroscience. 15, 732165-
Jin, J., Xiao, R., Daly, I., Miao, Y., Wang, X. and Cichocki, A., (2021). Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory. IEEE Transactions on Neural Networks and Learning Systems. 32 (11), 4814-4825
Jin, J., Fang, H., Daly, I., Xiao, R., Miao, Y., Wang, X. and Cichocki, A., (2021). Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI. International Journal of Neural Systems. 31 (07), 2150030-2150030
Ramírez Torres, JA. and Daly, I., (2021). How to build a fast and accurate code-modulated brain-computer interface. Journal of Neural Engineering. 18 (4), 046052-046052
Rybář, M., Poli, R. and Daly, I., (2021). Decoding of semantic categories of imagined concepts of animals and tools in fNIRS. Journal of Neural Engineering. 18 (4), 046035-046035
Daly, I., Williams, D., Malik, A., Weaver, J., Kirke, A., Hwang, F., Miranda, E. and Nasuto, SJ., (2020). Personalised, Multi-modal, Affective State Detection for Hybrid Brain-Computer Music Interfacing. IEEE Transactions on Affective Computing. 11 (1), 111-124
Li, S., Jin, J., Daly, I., Zuo, C., Wang, X. and Cichocki, A., (2020). Comparison of the ERP-Based BCI Performance Among Chromatic (RGB) Semitransparent Face Patterns. Frontiers in Neuroscience. 14, 54-
Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E. and Nasuto, SJ., (2020). Neural and physiological data from participants listening to affective music. Scientific Data. 7 (1), 177-
Chen, Z., Jin, J., Daly, I., Zuo, C., Wang, X. and Cichocki, A., (2020). Effects of Visual Attention on Tactile P300 BCI.. Computational Intelligence and Neuroscience. 2020, 1-11
Miao, Y., Chen, S., Zhang, X., Jin, J., Xu, R., Daly, I., Jia, J., Wang, X., Cichocki, A. and Jung, T-P., (2020). BCI-Based Rehabilitation on the Stroke in Sequela Stage.. Neural Plasticity. 2020, 1-10
Jin, J., Li, S., Daly, I., Miao, Y., Liu, C., Wang, X. and Cichocki, A., (2020). The Study of Generic Model Set for Reducing Calibration Time in P300-Based Brain-Computer Interface.. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28 (1), 3-12
Jin, J., Liu, C., Daly, I., Miao, Y., Li, S., Wang, X. and Cichocki, A., (2020). Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing.. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28 (10), 2153-2163
Daly, I., Bourgaize, J. and Vernitski, A., (2019). Mathematical mindsets increase student motivation: Evidence from the EEG. Trends in Neuroscience and Education. 15, 18-28
Feng, JK., Jin, J., Daly, I., Zhou, J., Niu, Y., Wang, X. and Cichocki, A., (2019). An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System. Computational Intelligence and Neuroscience. 2019, 1-10
Daly, I., Williams, D., Hwang, F., Kirke, A., Miranda, ER. and Nasuto, SJ., (2019). Electroencephalography reflects the activity of sub-cortical brain regions during approach-withdrawal behaviour while listening to music. Scientific Reports. 9 (1), 9415-
Jin, J., Miao, Y., Daly, I., Zuo, C., Hu, D. and Cichocki, A., (2019). Correlation-based channel selection and regularized feature optimization for MI-based BCI. Neural Networks. 118, 262-270
Cheng, J., Jin, J., Daly, I., Zhang, Y., Wang, B., Wang, X. and Cichocki, A., (2018). Effect of a combination of flip and zooming stimuli on the performance of a visual brain-computer interface for spelling. Biomedical Engineering / Biomedizinische Technik. 0 (0), 29-38
Feng, J., Yin, E., Jin, J., Saab, R., Daly, I., Wang, X., Hu, D. and Cichocki, A., (2018). Towards correlation-based time window selection method for motor imagery BCIs. Neural Networks. 102, 87-95
Williams, NJ., Daly, I. and Nasuto, SJ., (2018). Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data. Frontiers in Computational Neuroscience. 12, 76-
Daly, I., Blanchard, C. and Holmes, NP., (2018). Cortical excitability correlates with the event-related desynchronization during brain-computer interface control. Journal of Neural Engineering. 15 (2), 026022-026022
Jin, J., Zhang, H., Daly, I., Wang, X. and Cichocki, A., (2017). An improved P300 pattern in BCI to catch user’s attention. Journal of Neural Engineering. 14 (3), 036001-036001
Williams, D., Kirke, A., Miranda, E., Daly, I., Hwang, F., Weaver, J. and Nasuto, S., (2017). Affective Calibration of Musical Feature Sets in an Emotionally Intelligent Music Composition System. ACM Transactions on Applied Perception. 14 (3), 1-13
Nicolaou, N., Malik, A., Daly, I., Weaver, J., Hwang, F., Kirke, A., Roesch, EB., Williams, D., Miranda, ER. and Nasuto, SJ., (2017). Directed Motor-Auditory EEG Connectivity Is Modulated by Music Tempo. Frontiers in Human Neuroscience. 11, 502-
Daly, I., Williams, D., Kirke, A., Weaver, J., Malik, A., Hwang, F., Miranda, E. and Nasuto, SJ., (2016). Affective brain–computer music interfacing. Journal of Neural Engineering. 13 (4), 046022-046022
Zhou, S., Jin, J., Daly, I., Wang, X. and Cichocki, A., (2016). Optimizing the Face Paradigm of BCI System by Modified Mismatch Negative Paradigm. Frontiers in Neuroscience. 10 (OCT), 444-
Chen, L., Jin, J., Daly, I., Zhang, Y., Wang, X. and Cichocki, A., (2016). Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs. Frontiers in Computational Neuroscience. 10 (JAN), 5-
Huang, M., Daly, I., Jin, J., Zhang, Y., Wang, X. and Cichocki, A., (2016). An exploration of spatial auditory BCI paradigms with different sounds: music notes versus beeps.. Cognitive Neurodynamics. 10 (3), 201-209
Daly, I., Chen, L., Zhou, S. and Jin, J., (2016). An investigation into the use of six facially encoded emotions in brain-computer interfacing. Brain-Computer Interfaces. 3 (1), 59-73
Daly, I., Scherer, R., Billinger, M. and Müller-Putz, G., (2015). FORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing.. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 23 (5), 725-736
Williams, D., Kirke, A., Miranda, ER., Roesch, E., Daly, I. and Nasuto, S., (2015). Investigating affect in algorithmic composition systems. Psychology of Music. 43 (6), 831-854
Daly, I., Hwang, F., Kirke, A., Malik, A., Weaver, J., Williams, D., Miranda, E. and Nasuto, SJ., (2015). Automated identification of neural correlates of continuous variables.. Journal of Neuroscience Methods. 242, 65-71
Daly, I., Williams, D., Hallowell, J., Hwang, F., Kirke, A., Malik, A., Weaver, J., Miranda, E. and Nasuto, SJ., (2015). Music-induced emotions can be predicted from a combination of brain activity and acoustic features.. Brain and Cognition. 101, 1-11
Wang, M., Daly, I., Allison, BZ., Jin, J., Zhang, Y., Chen, L. and Wang, X., (2015). A new hybrid BCI paradigm based on P300 and SSVEP.. Journal of Neuroscience Methods. 244, 16-25
Williams, D., Kirke, A., Miranda, E., Daly, I., Hallowell, J., Weaver, J., Malik, A., Roesch, E., Hwang, F. and Nasuto, S., (2015). Investigating Perceived Emotional Correlates of Rhythmic Density in Algorithmic Music Composition. ACM Transactions on Applied Perception. 12 (3), 1-21
Daly, I., Williams, D., Hwang, F., Kirke, A., Malik, A., Roesch, E., Weaver, J., Miranda, E. and Nasuto, SJ., (2014). Investigating music tempo as a feedback mechanism for closed-loop BCI control. Brain-Computer Interfaces. 1 (3-4), 158-169
Bauernfeind, G., Wriessnegger, SC., Daly, I. and Müller-Putz, GR., (2014). Separating heart and brain: on the reduction of physiological noise from multichannel functional near-infrared spectroscopy (fNIRS) signals.. Journal of Neural Engineering. 11 (5), 056010-056010
Daly, I., Faller, J., Scherer, R., Sweeney-Reed, CM., Nasuto, SJ., Billinger, M. and Müller-Putz, GR., (2014). Exploration of the neural correlates of cerebral palsy for sensorimotor BCI control.. Frontiers in Neuroengineering. 7 (JUL), 20-
Daly, I., Malik, A., Hwang, F., Roesch, E., Weaver, J., Kirke, A., Williams, D., Miranda, E. and Nasuto, SJ., (2014). Neural correlates of emotional responses to music: an EEG study.. Neuroscience Letters. 573, 52-57
Müller-Putz, GR., Daly, I. and Kaiser, V., (2014). Motor imagery-induced EEG patterns in individuals with spinal cord injury and their impact on brain-computer interface accuracy.. Journal of Neural Engineering. 11 (3), 035011-035011
Jin, J., Daly, I., Zhang, Y., Wang, X. and Cichocki, A., (2014). An optimized ERP brain-computer interface based on facial expression changes.. Journal of Neural Engineering. 11 (3), 036004-036004
Daly, I., Billinger, M., Scherer, R. and Muller-Putz, G., (2013). On the Automated Removal of Artifacts Related to Head Movement From the EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 21 (3), 427-434
Jin, J., Sellers, EW., Zhang, Y., Daly, I., Wang, X. and Cichocki, A., (2013). Whether generic model works for rapid ERP-based BCI calibration. Journal of Neuroscience Methods. 212 (1), 94-99
Chen, X., Bin, G., Daly, I. and Gao, X., (2013). Event-related desynchronization (ERD) in the alpha band during a hand mental rotation task. Neuroscience Letters. 541, 238-242
Daly, I., Nicolaou, N., Nasuto, SJ. and Warwick, K., (2013). Automated artifact removal from the electroencephalogram: a comparative study.. Clinical EEG and Neuroscience. 44 (4), 291-306
Daly, I., Billinger, M., Laparra-Hernández, J., Aloise, F., García, ML., Faller, J., Scherer, R. and Müller-Putz, G., (2013). On the control of brain-computer interfaces by users with cerebral palsy.. Clinical Neurophysiology. 124 (9), 1787-1797
Daly, I., Sweeney-Reed, CM. and Nasuto, SJ., (2013). Testing for significance of phase synchronisation dynamics in the EEG.. Journal of Computational Neuroscience. 34 (3), 411-432
Scherer, R., Moitzi, G., Daly, I. and Muller-Putz, GR., (2013). On the Use of Games for Noninvasive EEG-Based Functional Brain Mapping. IEEE Transactions on Computational Intelligence and AI in Games. 5 (2), 155-163
Kaiser, V., Daly, I., Pichiorri, F., Mattia, D., Müller-Putz, GR. and Neuper, C., (2012). Relationship Between Electrical Brain Responses to Motor Imagery and Motor Impairment in Stroke. Stroke. 43 (10), 2735-2740
Breitwieser, C., Daly, I., Neuper, C. and Muller-Putz, GR., (2012). Proposing a Standardized Protocol for Raw Biosignal Transmission. IEEE Transactions on Biomedical Engineering. 59 (3), 852-859
Daly, I., Pichiorri, F., Faller, J., Kaiser, V., Kreilinger, A., Scherer, R. and Muller-Putz, G., (2012). What does clean EEG look like?. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2012, 3963-3966
Daly, I., Nasuto, SJ. and Warwick, K., (2012). Brain computer interface control via functional connectivity dynamics. Pattern Recognition. 45 (6), 2123-2136
Pfurtscheller, G., Daly, I., Bauernfeind, G. and Müller-Putz, GR., (2012). Coupling between intrinsic prefrontal HbO2 and central EEG beta power oscillations in the resting brain.. PLoS One. 7 (8), e43640-e43640
Daly, I., Nasuto, SJ. and Warwick, K., (2011). Single tap identification for fast BCI control. Cognitive Neurodynamics. 5 (1), 21-30
Book chapters (6)
Wagner, I., Daly, I. and Valjamae, A., Non-visual and Multisensory BCI Systems: Present and Future. Springer. 978-3-642-29745-8
Daly, I. and Williams, D., (2020). “Hello Computer, How Am I Feeling?”, Case Studies of Neural Technology to Measure Emotions. In: Cognitive Science and Technology. Springer International Publishing. 193- 219. 9783030347833
Daly, I., (2018). Affective Brain-Computer Interfacing and Methods for Affective State Detection. In: Brain–Computer Interfaces Handbook Technological and Theoretical Advances. Editors: Nam, CS., Nijholt, A. and Lotte, F., . CRC Press. 147- 164. 9781351231954
Singh, H. and Daly, I., (2015). Translational Algorithms: The Heart of a Brain Computer Interface. In: Brain-Computer Interfaces Current Trends and Applications. Editors: Hassanien, AE. and Azar, AT., . Springer International Publishing. 97- 121. 9783319109770
Daly, I., Roesch, E., Weaver, J. and Nasuto, S., (2014). Machine learning to identify neural correlates of music and emotions. In: Guide to Brain-Computer Music Interfacing. Editors: Miranda, E., . Springer. 89- 103. 978-1-4471-6583-5
Billinger, M., Daly, I., Kaiser, V., Jin, J., Allison, B., Mueller-Putz, G. and Brunner, C., (2012). Is it Significant? Guidelines for Reporting BCI Performance. In: Biological and Medical Physics, Biomedical Engineering. Springer. 333- 354. 978-3-642-29745-8
Conferences (33)
Minqiang, H., Daly, I., Xingyu, W. and Jing, J., A pleasant auditory brain computer interface using natural environment sounds
Daly, I., Ho, A., Marcon, J., Hwang, F., Williams, D., Kirke, A., Miranda, E. and Nasuto, SJ., Affective Brain Computer Music Interfacing: A Case Study Of Use By An IndividualWith Huntington’s Disease
Daly, I. and Williams, D., BCI for ensemble music making and performance: why and how (not how and why)
Williams, D., Mears, J., Kirke, A., Miranda, E., Daly, I., Malik, A., Weaver, J., Hwang, F. and Nasuto, S., A Perceptual and Affective Evaluation of an Affectively -Driven Engine for Video Game Soundtracking
Daly, I., Williams, D., Kirke, A., Weaver, J., Mailk, A., Hwang, F., Miranda, E. and Nasuto, S., An Affective Brain-Computer Music Interface
Wairagkar, M., Daly, I., Hayashi, Y. and Nasuto, S., Autocorrelation based EEG Dynamics depicting Motor Intention
Williams, D., Kirke, A., Eaton, J., Miranda, E., Daly, I., Weaver, J., Roesch, E., Hwang, F. and Nasuto, S., Dynamic game soundtrack generation in response to a continuously varying emotional trajectory
Daly, I., Jin, J., Huang, M., Zhang, Y. and Wang, X., An optimized auditory P300 BCI based on spatially distributed sound in different voices
Daly, I., Williams, D., Hwang, F., Kirke, A., Malik, A., Roesch, E., Weaver, J., Miranda, E. and Nasuto, S., Brain-computer music interfacing for continuous control of musical tempo
Wairagkar, M., Daly, I., Hayashi, Y. and Nasuto, S., Novel single trial movement classification based on temporal dynamics of EEG
Bauernfeind, G., Wriessnegger, S., Daly, I. and Mueller-Putz, G., Physiological noise reduction from multichannel functional near-infrared spectroscopy (fNIRS) signals
Daly, I., Aloise, F., Arico, P., Belda, J., Billinger, M., Bolinger, E., Cincotti, F., Hettich, D., Iosa, M., Laparra-Hernandez, J., Scherer, R. and Mueller-Putz, G., Rapid prototyping for hBCI users with Cerebral palsy
Daly, I., Grissmann, S., Brunner, C., Allison, B. and Mueller-Putz, G., Hybrid BCI classification via dynamic re-weighting
Bauernfeind, G., Daly, I. and Mueller-Putz, G., On the removal of physiological artifacts from fNIRS
Portelli, A., Daly, I., Spencer, M. and Nasuto, S., Low Cost Brain Computer Interface First Results
Williams, N., Daly, I., Nasuto, S., Saddy, D. and Warwick, K., ERP classification using Empirical mode decomposition
Daly, I., Nastuo, S. and Warwick, K., Phase resetting as a mechanism of ERP generation: evidence from the power spectrum
Armani, F., Daly, I., Vernitski, A., Gillmeister, H. and Scherer, R., (2024). Maths Anxiety and cognitive state monitoring for neuroadaptive learning systems using electroencephalography
Tates, A., Matran-Fernandez, A., Halder, S. and Daly, I., (2024). Wavelet packet decomposition to extract frequency features from speech imagery
Wang, Z., Daly, I. and Li, J., (2023). An Evaluation of Hybrid Deep Learning Models for Classifying Multiple Lower Limb Actions
Wang, Z., Li, J., Daly, I. and Li, J., (2022). Machine Learning for Multi-Action Classification of Lower Limbs for BCI
Williams, D. and Daly, I., (2021). Neuro-curation
Daly, I. and Rybar, M., (2020). Neural component analysis: source localisation for motor imagery classification
Rybar, M., Daly, I. and Poli, R., (2020). Potential pitfalls of widely used implementations of common spatial patterns
Daly, I., Malik, A., Weaver, J., Hwang, F., Nasuto, SJ., Williams, D., Kirke, A. and Miranda, E., (2015). Identifying music-induced emotions from EEG for use in brain-computer music interfacing
Daly, I., Malik, A., Weaver, J., Hwang, F., Nasuto, SJ., Williams, D., Kirke, A. and Miranda, E., (2015). Towards human-computer music interaction: Evaluation of an affectively-driven music generator via galvanic skin response measures
Jin, J., Zhang, Y., Wang, X., Daly, I. and Cichocki, A., (2014). Decreasing the interference of visual-based P300 BCI using facial expression changes
Daly, I., Hallowell, J., Hwang, F., Kirke, A., Malik, A., Roesch, E., Weaver, J., Williams, D., Miranda, E. and Nasuto, SJ., (2014). Changes in music tempo entrain movement related brain activity.
Williams, D., Kirke, A., Miranda, E., Daly, I., Roesch, EB., Weaver, JCE. and Nasuto, SJ., (2014). Evaluating perceptual separation in a pilot system for affective composition
Daly, I., Billinger, M., Scherer, R. and Müller-Putz, G., (2013). Brain-Computer Interfacing for Users with Cerebral Palsy, Challenges and Opportunities
Daly, I., Scherer, R. and Müller-Putz, G., (2013). A Population Search Algorithm for Clustered Multivariate Solutions: Application to EEG Connectivity
Daly, I., Williams, N., Nasuto, SJ., Warwick, K. and Saddy, D., (2010). Single trial BCI operation via Wackermann parameters
Daly, I., Nasuto, SJ. and Warwick, K., (2008). Towards natural human computer interaction in BCI
Dataset (6)
Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E. and Nasuto, SJ., A dataset recording joint EEG-fMRI during affective music listening
Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E. and Nasuto, SJ., A dataset recorded during development of an affective brain-computer music interface: training sessions
Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E. and Nasuto, SJ., A dataset recorded during development of an affective brain-computer music interface: testing session
Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E. and Nasuto, SJ., A dataset recorded during development of an affective brain-computer music interface: calibration session
Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E. and Nasuto, SJ., An EEG dataset recorded during affective music listening
Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E. and Nasuto, SJ., A dataset recorded during development of a tempo-based brain-computer music interface
Thesis dissertation (1)
Daly, I., (2011). Phase Synchronisation in Brain Computer Interfacing
2023
Semantic brain to computer communication
Leverhulme Trust
2021
August International KTP 3 Application (2021)
Innovate UK (formerly Technology Strategy Board)
2018
Development of novel functions for wearable technology to be deployed in healthcare applications
Innovate UK (formerly Technology Strategy Board)
Academic support hours:
My Academic Support Hours will be 10-11 on Wednesday and Thursday. I am available on Zoom and in my office. Zoom: the link for this is available from my profile on my CE161-NW/CE162-NW course MOODLE page. Please wait in the waiting room until I can admit you. In person: My office is 1NW.5.3D
