Motor imagery and error related potential induced position control of a robotic arm

EEG Analysis for Cognitive Failure Detection in Driving Using Type-2 Fuzzy Classifiers

“…10 and 11. It is confirmed from both the figures that alpha band (8-13 Hz) is associated during visual alertness and beta (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) band is active during motor execution tasks.…”

“…The acquired EEGs from pre-frontal/frontal, parietal and motor cortex regions are pre-processed using band pass filters (BPFs) of suitable frequency bands. VA being more prominent in alpha band (~8-13 Hz) [41] and MP/ME being relatively more active in mu-(8-13 Hz) [42] and beta (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) [43] bands, we used BPFs of required pass bands. More review on EEG channel selection and frequency band selection are provided in [44], [45].…”

“…In [20], [21] the authors proposed two interesting works on incremental type-2 meta-cognitive learning machines that autonomously detect what, how and when to learn. In recent times, an increasing interest to classify brain signals is noticed in research community [26], [27]. For example, Wang et al selected random forest algorithm for epilepsy detection for its superior performance over its three competitors, including decision tree and support vector machine (SVM) based realizations of both decision tree and random forest [28].…”

Deep Learning Based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces

“…Potential applications where the obtained results can be useful include primarily the neurorehabilitative BCI systems where continuous and meaningful neurofeedback is essential for motor recovery (Chowdhury et al, 2018a ). Apart from that, the asynchronous BCI uses for activities of daily living (ADL) by the completely locked-in patients can also make use of such techniques for controlling assistive robotic devices (Bhattacharyya et al, 2017 ; Tariq et al, 2018 ). Another important application could be the telepresence robot control by the motor-disabled patients towardz enhanced independence (Carlson et al, 2013 ) which needs continuous decoding with minimal calibration overhead.…”

Implementing Multi-DOF Trajectory Tracking Control System for Robotic Arm Experimental Platform

“…Dobot manipulator is divided into two sports modes: one is point-to-point movement, that is, PTP mode, such as suction movement, reciprocate up and down, from A to B; the other is continuous Trajectory movement, that is, CP mode, such as continuous trajectory drawing. The kinematic model of the robot manipulator calculates the movement angles of the corresponding joints according to the coordinates of the target so as to obtain the coordinates of the ends of the robot manipulator [16]. Dynamic control is actually to control the actual dynamic motion of the robot manipulator.…”