Integration of a BCI with a Hand Tracking System and a Motorized Robotic Arm to Improve Decoding of Brain Signals Related to Hand and Finger Movements

[1]  G R Müller-Putz,et al.  From classic motor imagery to complex movement intention decoding: The noninvasive Graz-BCI approach. , 2016, Progress in brain research.

[2]  U. Halsband,et al.  Motor learning in man: A review of functional and clinical studies , 2006, Journal of Physiology-Paris.

[3]  Andrea Petracca,et al.  A Modular Framework for EEG Web Based Binary Brain Computer Interfaces to Recover Communication Abilities in Impaired People , 2015, Journal of Medical Systems.

[4]  Danilo Avola,et al.  Basis for the implementation of an EEG-based single-trial binary brain computer interface through the disgust produced by remembering unpleasant odors , 2015, Neurocomputing.

[5]  Soo-Young Lee,et al.  Brain–computer interface using fMRI: spatial navigation by thoughts , 2004, Neuroreport.

[6]  Mohammad Hassan Moradi,et al.  Evaluation of the forearm EMG signal features for the control of a prosthetic hand. , 2003, Physiological measurement.

[7]  Pietro Zanuttigh,et al.  Hand gesture recognition with jointly calibrated Leap Motion and depth sensor , 2015, Multimedia Tools and Applications.

[8]  Pierre-Yves Oudeyer,et al.  Reachy, a 3D-Printed Human-Like Robotic Arm as a Testbed for Human-Robot Control Strategies , 2019, Front. Neurorobot..

[9]  Luigi Cinque,et al.  A Virtual Glove System for the Hand Rehabilitation based on Two Orthogonal LEAP Motion Controllers , 2017, ICPRAM.

[10]  Andrea Petracca,et al.  A Poll Oriented Classifier for Affective Brain Computer Interfaces , 2015, NEUROTECHNIX.

[11]  Giuseppe Placidi,et al.  A smart virtual glove for the hand telerehabilitation , 2007, Comput. Biol. Medicine.

[12]  Luigi Cinque,et al.  Towards EEG-based BCI driven by emotions for addressing BCI-Illiteracy: a meta-analytic review , 2018, Behav. Inf. Technol..

[13]  Athanasios Vourvopoulos,et al.  Motor priming in virtual reality can augment motor-imagery training efficacy in restorative brain-computer interaction: a within-subject analysis , 2016, Journal of NeuroEngineering and Rehabilitation.

[14]  Weihang Zhu,et al.  Dynamic Hand Gesture Recognition Based on a Leap Motion Controller and Two-Layer Bidirectional Recurrent Neural Network , 2020, Sensors.

[15]  Luigi Cinque,et al.  A fast and scalable framework for automated artifact recognition from EEG signals represented in scalp topographies of Independent Components , 2021, Comput. Biol. Medicine.

[16]  Ke Liao,et al.  Decoding Individual Finger Movements from One Hand Using Human EEG Signals , 2014, PloS one.

[17]  Jonathan R Wolpaw,et al.  Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[18]  Giuseppe Placidi,et al.  A Brain Computer Interface by EEG Signals from Self-induced Emotions , 2017 .

[19]  Rajesh P. N. Rao,et al.  Cortical activity during motor execution, motor imagery, and imagery-based online feedback , 2010, Proceedings of the National Academy of Sciences.

[20]  Rytis Maskeliunas,et al.  Design and Evaluation of Anthropomorphic Robotic Hand for Object Grasping and Shape Recognition , 2020, Comput..

[21]  E. Hoshi.  Cortico-basal ganglia networks subserving goal-directed behavior mediated by conditional visuo-goal association , 2013, Front. Neural Circuits.

[22]  G. Pfurtscheller,et al.  Continuous EEG classification during motor imagery-simulation of an asynchronous BCI , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[23]  E. Keefer,et al.  Human motor decoding from neural signals: a review , 2019, BMC biomedical engineering.

[24]  Ting Li,et al.  Decoding Voluntary Movement of Single Hand Based on Analysis of Brain Connectivity by Using EEG Signals , 2018, Front. Hum. Neurosci..

[25]  Giuseppe Placidi,et al.  Characterization of a SimMechanics Model for a Virtual Glove Rehabilitation System , 2010, CompIMAGE.

[26]  Med Salim Bouhlel,et al.  A novel hybrid bidirectional unidirectional LSTM network for dynamic hand gesture recognition with Leap Motion , 2020, Entertain. Comput..

[27]  Andrea Petracca,et al.  Classification of Emotional Signals from the DEAP dataset , 2016, NEUROTECHNIX.

[28]  Shirley M Coyle,et al.  Brain–computer interface using a simplified functional near-infrared spectroscopy system , 2007, Journal of neural engineering.

[29]  Luigi Cinque,et al.  Overall design and implementation of the virtual glove , 2013, Comput. Biol. Medicine.

[30]  Petros Daras,et al.  A Comprehensive Study on Deep Learning-Based 3D Hand Pose Estimation Methods , 2020, Applied Sciences.

[31]  Luigi Cinque,et al.  Data integration by two-sensors in a LEAP-based Virtual Glove for human-system interaction , 2021, Multimedia Tools and Applications.

[32]  Sara Basso Moro,et al.  A novel semi-immersive virtual reality visuo-motor task activates ventrolateral prefrontal cortex: a functional near-infrared spectroscopy study , 2016, Journal of neural engineering.

[33]  Luigi Cinque,et al.  Measurements by A LEAP-Based Virtual Glove for the Hand Rehabilitation , 2018, Sensors.