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Progress in EEG-Based Brain Robot Interaction Systems

Xiaoqian Mao, Mengfan Li, Wei Li, Linwei Niu, Bin Xian, Ming Zeng, Genshe Chen
2017 Computational Intelligence and Neuroscience  
The most popular noninvasive Brain Robot Interaction (BRI) technology uses the electroencephalogram- (EEG-) based Brain Computer Interface (BCI), to serve as an additional communication channel, for robot  ...  Next, we describe a few BRI applications, including wheelchairs, manipulators, drones, and humanoid robots with respect to synchronous and asynchronous BCI-based techniques.  ...  HHT, consisting of empirical mode decomposition (EMD) and Hilbert spectral analysis (HAS) [202] , is a recently developed adaptive data analysis method, which has been used extensively in EEG research  ... 
doi:10.1155/2017/1742862 pmid:28484488 pmcid:PMC5397651 fatcat:fujnky5jgfespcz73zw2qzn44e

Theta phase coding in a network model of the entorhinal cortex layer II with entorhinal-hippocampal loop connections

Jun Igarashi, Hatsuo Hayashi, Katsumi Tateno
2006 Cognitive Neurodynamics  
In this talk, I will begin with the useful behavior of NMF in EEG pattern classification, which plays a critical role in noninvasive brain computer interface (BCI).  ...  Through this talk, I will stress why tensor is useful in learning fruitful representation, compared to existing matrix-based methods.  ...  CONCLUSION We designed an element circuit for implementing PLL neural networks using the pulse-modulation approach. We verified the fundamental operation of two coupled element circuits with HSPICE.  ... 
doi:10.1007/s11571-006-9003-8 pmid:19003510 pmcid:PMC2267667 fatcat:avihqfr6a5e7tm43lythi27n3a

2020 Index IEEE Transactions on Biomedical Engineering Vol. 67

2020 IEEE Transactions on Biomedical Engineering  
., A Time-Frequency Approach for Cerebral Embolic Load Monitoring; TBME April 2020 1007-1018 Imaduddin, S.M., Fanelli, A., Vonberg, F.W., Tasker, R.C., and Heldt, T., Pseudo-Bayesian Model-Based Noninvasive  ...  , TBME Nov. 2020 3134-3140 Nath, M., see Maity, S., TBME Dec. 2020 3392-3402 Nehorai, A., see Prateek, G.V., 2132-2144 Nemcova, A., see Smital, L., 2721-2734 Nestorov, I., see Tangen, K., 1122 -  ...  ., +, TBME July 2020 2052-2063 Characterization of Blood Pressure and Heart Rate Oscillations of POTS Patients via Uniform Phase Empirical Mode Decomposition.  ... 
doi:10.1109/tbme.2020.3048339 fatcat:y7zxxew27fgerapsnrhh54tm7y

2020 Index IEEE Transactions on Intelligent Transportation Systems Vol. 21

2020 IEEE transactions on intelligent transportation systems (Print)  
., +, TITS May 2020 2180-2189 Spatio-Temporal Ensemble Method for Car-Hailing Demand Prediction.  ...  ., +, TITS Dec. 2020 5060-5072 Spatio-Temporal Ensemble Method for Car-Hailing Demand Prediction.  ...  R Radar clutter Outliers-Robust CFAR Detector of Gaussian Clutter Based on the Truncated-Maximum-Likelihood-Estimator in SAR Imagery. Ai, J., 2039 -2049  ... 
doi:10.1109/tits.2020.3048827 fatcat:ab6he3jkfjboxg7wa6pagbggs4

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  June 2020 3812-3817 Henry, M.P., The Prism: Recursive FIR Signal Processing for Instrumentation Applications; TIM April 2020 1519-1529 Heo, S., see Jung, J.H., TIM Oct. 2020 7530-7541 Hernandez, A.  ...  Ibra- him, A., +, TIM Aug. 2020 5488-5496 Empirical Mode Decomposition-Based Hierarchical Multiresolution Analy- sis for Suppressing Noise.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs

Cristian Rotaru, Octav Brudaru
2012 2012 IEEE Congress on Evolutionary Computation  
Two feature functions are used to measure the similarity between chromosomes. The approach considers multiple parallel evolving grids.  ...  The approach systematically produces better results than the used basic genetic algorithm and better or similar results with other heuristic methods.  ...  Bettencourt, Development of Invariant Feature Maps via a Computational Model of Simple and Complex Cells 566, Wenjie Yan, Cornelius Weber and Stefan Wermter, A Neural Approach for Robot Navigation based  ... 
doi:10.1109/cec.2012.6256590 dblp:conf/cec/RotaruB12 fatcat:4ly3nrktw5habc6lf5err7d5py

2019 Index IEEE Transactions on Biomedical Engineering Vol. 66

2019 IEEE Transactions on Biomedical Engineering  
., +, TBME Sept. 2019 2512-2520 Achieving Automated Organelle Biopsy on Small Single Cells Using a Cell Surgery Robotic System.  ...  ., +, TBME July 2019 1996-2009 Achieving Automated Organelle Biopsy on Small Single Cells Using a Cell Surgery Robotic System.  ... 
doi:10.1109/tbme.2020.2964087 fatcat:mdfzsmdahnao5ccnuj232hycsm

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022  ...  see Daneshvar, M., TII June 2020 3928-3941 Mohtat, P., see Lee, S., TII May 2020 3376-3386 Momeni, H., Sadoogi, N., Farrokhifar, M., and Gharibeh, H.F., Fault Diagnosis in Photovoltaic Arrays Using  ...  ., +, TII Jan. 2020 414-422 Automatic Power Quality Events Recognition Using Modes Decomposition Based Online P-Norm Adaptive Extreme Learning Machine.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

2022 Roadmap on Neuromorphic Computing and Engineering [article]

Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano (+47 others)
2022 arXiv   pre-print
Modern computation based on the von Neumann architecture is today a mature cutting-edge science.  ...  We hope that this Roadmap will be a useful resource to readers outside this field, for those who are just entering the field, and for those who are well established in the neuromorphic community. https  ...  Acknowledgements Roadmap on Neuromorphic Computing and Engineering This work was partially based on results obtained from a project, JPNP16007, commissioned by the New Energy and Industrial Technology  ... 
arXiv:2105.05956v3 fatcat:pqir5infojfpvdzdwgmwdhsdi4

Certifying Unstability of Switched Systems Using Sum of Squares Programming

Benoît Legat, Pablo Parrilo, Raphaël Jungers
2020 SIAM Journal of Control and Optimization  
An example of a classical mechanical system having the structure of (3) is a flexible-joint robot [3].  ...  In a similar manner as for the linear case, we can compute a balanced realization from these two empirical Gramians.  ...  INTRODUCTION In micro-robotics, active materials are used to construct extremely small actuators.  ... 
doi:10.1137/18m1173460 fatcat:ytlzbwk7vbampbuyo6snenz33m

A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic [article]

Barbara Cunha
2022 arXiv   pre-print
The use of Machine Learning (ML) has rapidly spread across several fields, having encountered many applications in Structural Dynamics and Vibroacoustic (SD\&V).  ...  As a result, the survey provides a broad overview of the present landscape of ML applied in SD\&V and guides the reader to an advanced understanding of progress and prospects in the field.  ...  [280] reviews the ML methods applied in the control of soft robots, with a focus on soft sensors and actuators.  ... 
arXiv:2204.06362v1 fatcat:ayn6cpcn7nd65hum3z4fspxwrm

Applications of the Free Energy Principle to Machine Learning and Neuroscience [article]

Beren Millidge
2021 arXiv   pre-print
Finally, we investigate biologically plausible methods of credit assignment in the brain. We first demonstrate a close link between predictive coding and the backpropagation of error algorithm.  ...  Firstly, we focus on predictive coding, a neurobiologically plausible process theory derived from the free energy principle which argues that the primary function of the brain is to minimize prediction  ...  This ensemble approach has been found to be widely useful in model-based reinforcement learning and to offer a superior representation of the true posterior over the parameters than competing methods such  ... 
arXiv:2107.00140v1 fatcat:c6phd65xwfc2rcyq7pnth5a3pq

Speaker comfort and increase of voice level in lecture rooms

Jonas Brunskog, Anders C. Gade, Gaspar Payà Bellester, Lilian Reig Calbo
2008 Journal of the Acoustical Society of America  
Still, such tokens are usually perceived as containing a "t" or "d" ͑e.g. 'needle' even with a very reduced "d" is usually not perceived as 'kneel'͒.  ...  Degree of intensity dip has the strongest effect, with a minimal dip in intensity more likely to be perceived as 'kneel' and a strong dip in intensity more likely to be perceived as 'needle. ' The results  ...  spatial Empirical Mode Decomposition ͑sEMD͒ and the Ensemble Empirical Mode Decomposition ͑E-EMD͒ --is carried out, in order to separate acoustic and aerodynamic pressure fluctuations.  ... 
doi:10.1121/1.2934367 fatcat:xr6gp4ldo5bylnxytx2iumrdmi

Fine‐structure processing, frequency selectivity and speech perception in hearing‐impaired listeners

Olaf Strelcyk, Torsten Dau
2008 Journal of the Acoustical Society of America  
Still, such tokens are usually perceived as containing a "t" or "d" ͑e.g. 'needle' even with a very reduced "d" is usually not perceived as 'kneel'͒.  ...  Degree of intensity dip has the strongest effect, with a minimal dip in intensity more likely to be perceived as 'kneel' and a strong dip in intensity more likely to be perceived as 'needle. ' The results  ...  spatial Empirical Mode Decomposition ͑sEMD͒ and the Ensemble Empirical Mode Decomposition ͑E-EMD͒ --is carried out, in order to separate acoustic and aerodynamic pressure fluctuations.  ... 
doi:10.1121/1.2935148 fatcat:nqyyia5pubamnhqgonegghrudm

EMG-based Simultaneous and Proportional Estimation of Wrist Kinematics and its Application in Intuitive Myoelectric Control for Unilateral transradial Amputees

Farina Dario
2011 Frontiers in Computational Neuroscience  
To address this problem, we used a chronically implanted microdrive with independently movable electrodes to map the depth dependence of spatially tuned local field potentials (LFP) in PFC of Rhesus macaques  ...  Graimann (Otto Bock HealthCare) for supplying us with data and Armin Biess for fruitful discussions.  ...  ) controlling a robotic exoskeleton online (250msec delay) using brain signals.  ... 
doi:10.3389/conf.fncom.2011.53.00081 fatcat:nkq5wesfpbcjnikbxqh3v3gtqi
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