Mind Control Robotic Arm: Augmentative and Alternative Communication in the Classroom Environment
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Abstract
In recent years, technological advancements have greatly benefited the field of prosthetics. A large number of disabled people depend on prosthetics because they are an important technology. In order to provide augmentative and alternative methods of communication to these disabled people with various neuromuscular disorders, we must make sure they are provided with appropriate equipment to express themselves. Different types of arms are evaluated under robotic technology in terms of resistance, usability, flexibility, cost, and potential (such as robotic, surgical, bionic, prosthetic, and static arms). The main problems with these techniques are their high cost, the difficulty of installing and maintaining them, and the possibility of requiring surgery may arise. As a result, this paper is going to provide a description of the idea for combining an EEG controlled smart prosthetic arm with a smart robotic hand. An electrode headset is used to capture the signals from the robotic hand in order to control the device. Creating a robot arm that can help disabled people lead a more independent life is the main objective of this paper.
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S, Jung CW. Wearable fabric antenna on upper arm for MedRadio band applications with Beam capability. Electronics Letters 2015;51:1314–6. :10.1049/.2015.2105.
TL, G, M, D. Design of a wearable interface for lightweight robotic arm for people with mobility impairments. 2017 International Conference on Rehabilitation Robotics (ICORR) 2017. :10.1109/.2017.8009471.
Elastically Actuated Small Robotic Arm for CubeSat Platforms 2021. :10.2514/6.2021- 4168.
K, Suzuki K. Gesture based robotic arm control for Meal Time Care using a wear- able sensory jacket. 2016 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) 2016. :10.1109/iris.2016.8066077.
Anand, L., Rane, K.P., Bewoor, L.A., Bangare, J.L., Surve, J., Raghunath, M.P., Sankaran, K.S., Osei, B.: Development of machine learning and medical enabled multimodal for segmentation and classification of brain tumor using MRI images. Computational Intelligence and Neuroscience. 2022, 1–8 (2022).
P, P, K, J, Hughes M, Yang G-Z. Three-dimensional robotic-assisted with a force adap- tive robotic arm. 2017 IEEE International Conference on Robotics and Automation (ICRA) 2017. :10.1109/.2017.7989276.
PD, C. Robotic Force amplification with free space motion capability. 2014 IEEE International Conference on Robotics and Automation (ICRA) 2014.10.1109/.2014.6906600.
A, Sanchez B. Long Reach Robotic Arm 2020. :10.2172/1668389.
Kolli, C.S., Raghunath, M.P., Meenakshi, S., Maheswari, K., Britto, C.F., Kushwaha, S.: Efficient development of supervised learning algorithm for Kidney Stone Prediction. 2022 International Conference on Inventive Computation Technologies (ICICT). (2022).
Nguyen P, P. Towards the design of a soft robotic third arm for Assisted Living Tasks. 2017 International Symposium on Wearable Robotics and Rehabilitation (WeRob) 2017. :10.1109/.2017.8383814.
M, M, A, J. I need a third arm! body-based interactions with a wearable robotic arm. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems 2023. :10.1145/3544548.3581184.
Bhosale, J.D., Thorat, S.S., Pancholi, P.V., Mutkule, P.R.: Machine learning-based algorithms for the detection of leaf disease in agriculture crops. International Journal on Recent and Innovation Trends in Computing and Communication. 11, 45–50 (2023).
Clark JP, G, F, MG, M, O’ MK. On the role of wearable for force feedback in control for dual-arm robotic . 2019 International Conference on Robotics and Automation (ICRA) 2019. :10.1109/.2019.8793652.
Low latency prefix accumulation driven compound MAC unit for efficient FIR filter implementation. Journal of Scientific ; Industrial Research 2020;79. :10.56042/.v79i2.68450.
Abidin, S., Prasad Raghunath, M., Rajasekar, P., Kumar, A., Ghosal, D., Ishrat, M.: Identification of disease based on symptoms by employing ML. 2022 International Conference on Inventive Computation Technologies (ICICT). (2022).
Singh TC, M. Design and Implementation of Two-Dimensional & Parallel FIR Filter Architectures 2022. :10.21203/rs.3.rs-1678777/v1.
Thommandru, A., Mutkule, P., Bandi, A., Tongkachok, K.: Towards applicability of artificial intelligence in healthcare, banking and education sector. ECS Transactions. 107, 16665–16671 (2022).
Singh, S. ., Wable, S. ., & Kharose, P. . (2021). A Review Of E-Voting System Based on Blockchain Technology. International Journal of New Practices in Management and Engineering, 10(04), 09–13. https://doi.org/10.17762/ijnpme.v10i04.125
Ali Raad Mohammed, Sepanta Naimi. (2023). The Effectiveness of Thermal Insulation of the Exterior Composite Walls of Buildings in Iraq Based on Different Materials and Climate Regions using Engineering Applications. International Journal of Intelligent Systems and Applications in Engineering, 11(4s), 594–601. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2731
Q, J, Wu J, Y, Wang H. Design and implementation of GNSS disciplined clock based on unbiased FIR filter. 3rd International Conference on Control Technology and Trans- portation 2018. :10.5220/0006969903180322.
Andrew Hernandez, Stephen Wright, Yosef Ben-David, Rodrigo Costa, David Botha. Optimizing Resource Allocation using Machine Learning in Decision Science. Kuwait Journal of Machine Learning, 2(3). Retrieved from http://kuwaitjournals.com/index.php/kjml/article/view/195
G. Design and Implementation of Programmable FIR Filter in FPGA 2021. :10.32920/.14661276.
W, Sun F, L, Wang Y, Song L, Shi J. Path loss model for wearable robotic arm system at MHz Band. 2022 IEEE 22nd International Conference on Communication Technology (ICCT) 2022. :10.1109/icct56141.2022.10073232.
Paul Garcia, Anthony Walker, Luis Gonzalez, Carlos Pérez, Luis Pérez. Improving Question Generation and Answering Systems with Machine Learning. Kuwait Journal of Machine Learning, 2(2). Retrieved from http://kuwaitjournals.com/index.php/kjml/article/view/187
H, V, S. Applying force perturbations using a wearable robotic neck brace. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020. 10.1109/iros45743.2020.9340638.
V, Hoffman G. Wearing your arm on your sleeve: Studying usage contexts for a wear- able robotic forearm. 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) 2017. :10.1109/roman.2017.8172421.
A, A. A 2D-CNN-SCALOGRAM based approach to classify the mental tasks using EEG signals. 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) 2022. :10.1109/iciccs53718.2022.9787994.
Raghunath, M.P., Ankayarkanni, B.: An empirical review on brain tumor classification approaches. Information Systems and Management Science. 15–27 (2022).
Zhan Hong L, A, Victor J, Thing GT. EEG-based Brain Wave Controlled Intelligent Prosthetic Arm. 2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) 2020. :10.1109/icspc50992.2020.9305784.
A, M, E, M. An EEG and FTCD based BCI for control. 2016 50th Asilomar Conference on Signals, Systems and Computers 2016. :10.1109/.2016.7869581.
S, Y. A novel classification strategy of motor imagery EEG signals utilizing WT-PSR-SVD-based MTSVM. Expert Systems with Applications 2022;199:116901. :10.1016/j..2022.116901.
AK, G,Ann based feature extraction from EEG test signals in generating control com- mands for prosthetic application. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) 2022. :10.1109/mysurucon55714.2022.9972535.