Clearing 2021
People

Dr Ian Daly

Lecturer
School of Computer Science and Electronic Engineering (CSEE)
Dr Ian Daly
  • Email

  • Location

    1NW.5.3D, Colchester Campus

  • Academic support hours

    My Academic Support Hours will be 10-11 on Wednesday via zoom. The zoom 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.

Profile

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 and professional activities

Research interests

Brain-computer interfacing

Research and development of devices to support communication between the human brain and a computer.

Key words: Brain-computer interfacing

Machine learning

Understanding how computers can be taught to recognise, identify, and/or predict patterns in data.

Key words: Machine learning

Signal processing

Key words: 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.

Key words: Functional connectivity

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.

Key words: EEG

fNIRS

Key words: fNIRS

fMRI

Key words: fMRI

Motor control

Understanding the human motor system and how the brain acts to plan and coordinate movement.

Key words: Motor control

Motor rehabilitation

Development of BCI systems to aid movement rehabilitation after injury or disease.

Key words: Motor rehabilitation

Brain stimulation

Use of brain stimulation to explore motor control, movement planning, and motor learning.

Key words: Brain stimulation

Publications

Journal articles (62)

Daly, I., (2021). Neural component analysis: A spatial filter for electroencephalogram analysis. Journal of Neuroscience Methods. 348, 108987-108987

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

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

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

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

Daly, I., (2021). Removal of physiological artifacts from simultaneous EEG and fMRI recordings. Clinical Neurophysiology. 132 (10), 2371-2383

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

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

Fisher, CE., Spaeth-Rublee, B. and Alan Pincus, H., (2013). Developing mental health-care quality indicators: toward a common framework. International Journal for Quality in Health Care. 25 (1), 75-80

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

Spaeth-Rublee, B., Pincus, HA. and Huynh, PT., (2010). Measuring Quality of Mental Health Care: A Review of Initiatives and Programs in Selected Countries. The Canadian Journal of Psychiatry. 55 (9), 539-548

Sherazi, R., McKeon, P., McDonough, M., Daly, I. and Kennedy, N., (2006). What's New? The Clinical Epidemiology of Bipolar I Disorder. Harvard Review of Psychiatry. 14 (6), 273-284

Longhurst, JG., (1997). Mania. The Lancet. 350 (9073), 292-292

Daly, I., (1997). Mania. The Lancet. 349 (9059), 1157-1160

Cullen, B. and Daly, I., (1996). Sulpiride and tardive dyskinesia. Psychiatric Bulletin. 20 (2), 118-118

Daly, I., Webb, M. and Kaliszer, M., (1995). First Admission Incidence Study of Mania, 1975–1981. British Journal of Psychiatry. 167 (4), 463-468

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

Billinger, M., Daly, I., Kaiser, V., Jin, J., Allison, B., Mueller-Putz, G. and Brunner, C., Is it Significant? Guidelines for Reporting BCI Performance. 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: Neuroergonomics. Springer International Publishing. 193- 219

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

Conferences (28)

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

Rybar, M., Daly, I. and Poli, R., (2020). Potential pitfalls of widely used implementations of common spatial patterns

Daly, I. and Rybar, M., (2020). Neural component analysis: source localisation for motor imagery classification

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

Grants and funding

2018

Development of novel functions for wearable technology to be deployed in healthcare applications

Innovate UK (formerly Technology Strategy Board)

Contact

i.daly@essex.ac.uk

Location:

1NW.5.3D, Colchester Campus

Academic support hours:

My Academic Support Hours will be 10-11 on Wednesday via zoom. The zoom 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.

More about me