International Journal Of Engineering Technology And Management Sciences

AUTHOR(S)

Kavyanjali R., Mo Imran,Nalliboyina Yuva Raja Phani Kumar, Maria Dayana L.N., Dr. Pavithra G., Dr. Sindhu Shree M., Dr. T.C.Manjunath, Aditya T.G., Sandeep K.V., Rajashekar M. Koyyeda, Dr. Suhasini V.K., Dr. Vijayakumar K.N.

DOI: https://doi.org/10.46647/ijetms.2023.v07i01.033

ABSTRACT
An overview of the design and use of a Smart Prosthetic Hand is provided in this study. This study presents an overview of computational methods for brain, gesture, and voice signals to operate a robotic arm. There are several hundred million neurons in the human brain. A prosthetic arm powered by a Brain-Computer Interface (BCI) based on electroencephalograms (EEG) is a non-invasive approach that can be a powerful aid for persons with severe disabilities in their daily lives, particularly to let them use their arm voluntarily. The brain’s EEG data is recorded by the Brainsense headset and processed by a microprocessor to move the prosthetic hand via controlling servo motors. Additionally, a glove controller that replicates the gestures is used. The method entails using flex sensors to control the arm's movements. The voice control system was created so that voice commands could be sent through Bluetooth to control prosthetic arms. With the aid of a microcontroller, all actions can be monitored by a user interface. This prosthetic arm can help patients who have amputees below the elbow. This essay's main objective is to enable people with physical disabilities to become less dependent on others for their everyday needs. This model would be very helpful in both the real world, especially for those with disabilities who are unable to use their hands, and in the classroom when employed by college students pursuing robotics as a subject. The work given here is a mini-project that is taken up as a part of the curriculum completed by electronics and communication engineering students in the second year of the electronics & communication engineering department at Dayananda Sagar College of Engineering in Bangalore.

Page No: 237 - 241

References:

• Chinbat, “Prosthetic Arm Control by Human Brain,” IEEE International Symposium on Computer, Consumer and Control (IS3C), 2018.
• T. Beyrouthy, “EEG Mind Controlled Smart Prosthetic Arm,” A Comprehensive Study Advances in Science, Technology and Engineering Systems, 2017.
• Andrews, “Low-Cost Robotic Arm for differently abled using Voice Recognition,” Proceedings of the Third IEEE International Conference on Trends in Electronics and Informatics (ICOEI 2019), 2019.
• Juan Pablo, “Voice Controlled Prosthetic Hand with Predefined Grasps and Movements,” VII Latin American Congress on Biomedical Engineering CLAIB, 2016.
• Dr.Sandeep, “Robotic arm control using gesture and voice”, IEEE International Journal of Computer, Information Technology & Bioinformatics (IJCITB).
• Guoxin, “The Prosthetic Arm: A Dramatic Improvement For The Limb Amputation From The Humerus,” IEEE 4th International Conference on advanced Robotics and Mechatronics, 2019.
• D. sharma, “Enhanced Framework for Active Prosthetic Arm,” IEEE International Conference om Advanced communication and applied informatics., 2022.
• P. Naik, “Arduino based Voice controlled Robotic Arm,” IEEE International Conference on advanced Robotics, 2017.
• Shobhan, “Implementation of Pick & Place Robotic Arm for Warehouse Products Management,” IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 2021.
• Nirsandh G; Preetha S; Sabeer yaccob. "Arthroplasty Advancement: Remodification Design of Total Hip Replacement". International Research Journal on Advanced Science Hub, 2, 6, 2020, 105-108. doi: 10.47392/irjash.2020.45
• Muniyandy Elangovan; Mohamed Yousuf; Mohamed Nauman; Mohammed Nayeem. "Design and Development of Delivery Robot for Commercial Purpose". International Research Journal on Advanced Science Hub, 4, 07, 2022, 192-197. doi: 10.47392/irjash.2022.047
• Gayathri N Shenoy; Chithu Rajan; Shibi Varghese; Vignesh M.V; ShanmugaPriya M; Priya S; Aparna George. "STERILOID: Room Sanitization Robot". International Research Journal on Advanced Science Hub, 2, 8, 2020, 100-104. doi: 10.47392/irjash.2020.101
• R. Devi Priya, R. Sivaraj, Ajith Abraham, T. Pravin, P. Sivasankar and N. Anitha. "Multi-Objective Particle Swarm Optimization Based Preprocessing of Multi-Class Extremely Imbalanced Datasets". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Vol. 30, No. 05, pp. 735-755 (2022). Doi: 10.1142/S0218488522500209
• Saha, “Progress in brain computer interface, challenges and opportunities,” Frontiers in systems Neuro science., 25th Feb. 2021.
• J. R. Wolpaw, “Brain–computer interfaces as new brain output pathways,” Wadsworth Center, Laboratory of Nervous System Disorders, New York State Department of Health and State University of New York, Albany, Mar 5 2007.
• J. kaur, “A review on analysis of EEG signals,” IEEE International Conference on Advances in Computer Engineering and Applications (ICACEA), 2015.
• Ujwal, “Voice Control Based Prosthetic Human Arm,” International Research Journal of Engineering and Technology (IRJET), 07, July 2019..
• Z. X. P. Wang, “Design of a voice control 6DoF grasping robotic arm based on ultrasonic sensor, computer vision and Alexa voice assistance,” IEEE 10th International Conference on Information Technology in Medicine and Education, 2019.
• Poirier, “Voice Control Interface Prototype for Assistive Robots for People Living with Upper Limb Disabilities”,” IEEE 16th International Conference on Rehabilitation Robotics (ICORR) Toronto, 2019.
• P. Iyer, “Hand Gesture Controlled Robot,” IEEE 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19), 2019.
• B. Bakri, “Wireless Hand Gesture Controlled Robotic Arm Via NRF24L01 Transceiver”,” Proceedings of 2016 IEEE Conference on Latest trends in Robotics., 2016.
• P. Atre, “Efficient and Feasible Gesture Controlled Robotic Arm,” IEEE International Conference on ent Computing and Control Systems (ICICCS), 10 March 2019.
• Rajanbabu, “Material Handling Using Pick and Place Robot,” IEEE International Conference on Smart Structures and Systems (ICSSS), 2020.
• Sonawanc, “Motion Control of Robotic Arm for Micro-Positioning in Industrial Application”,” IEEE International Conference on Advances in Communication and Computing Technology (ICACCT), 2018.
• M. Fattah, “Gesture controlled prosthetic arm,” IEEE 3rd International Conference for Convergence in technology, 2018.
• M. k. Doga Akcinar, “Speaker Dependent Voice Controlled Robotic Arm,” IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA), 2018.
• R. Dhotre, “Gesture controlled home automation,” International journal of Scientific and Engineering Research, vol. 8, no. 9, 2017.
• S. Aishwarya Patil, “Haptic Robotic Arm Using Voice & Gesture Recognition,” Journal of Advanced Research in Computer and Communication Engineering, vol. 2, no. 3, Mar 2013.
• Kanash, “Design and Implementation of Voice Controlled Robotic ARM,” IEEE International Conference on Communication & Information Technology (ICICT)., 2021.
• Sihombing, “Robotic Arm Controlling Based on Fingers and Hand Gesture”, IEEE International Conference on Mechanical, Electronics, Computer, and Industrial Technology (MECnIT), 2020.
• Gunapriya, “A review of Arduino based hand gesturec ontrolled robot using IoT,” IEEE International Conference on Artificial Intelligence and Smart Systems (ICAIS), 2022.
• J. Islam, “ntegration of Home Assistance with a Gesture Controlled Robotic Arm,” IEEE Region 10 Symposium (TENSYMP)., 2020.
• K. K. Ang, “EEG-based Strategies to Detect Motor Imagery for Control and Rehabilitation,”IEEE proceedinds on Transactions on Neural Systems and Rehabilitation Engineering, 2016.
• Ashwal, “” Stress Effect on Attention Level Detection Using Neurosky Mindwave Headset,” International Biomedical Instrumentation and Technology Conference (IBITeC), 2021.
• Lakshmi Gandan, “EEG Based Brain Controlled Mobile Arm Pick and Place robot," International Journal of Engineering Trends and Technology (IJETT), vol. 45, 8 Mar 2017.
• Katona, “Evaluation of the Neuro Sky Mind Flex EEG headset brain waves data,” IEEE International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2021.
• M. Borghetti, E. Sardini and M. Serpellon, “Evaluation of bend sensors for limb motion monitoring,” IEEE International Workshop on Medical Measurement and Applications (MEMEA), 2014.

How to Cite This Article:
Kavyanjali R., Mo Imran,Nalliboyina Yuva Raja Phani Kumar, Maria Dayana L.N., Dr. Pavithra G., Dr. Sindhu Shree M., Dr. T.C.Manjunath, Aditya T.G., Sandeep K.V., Rajashekar M. Koyyeda, Dr. Suhasini V.K., Dr. Vijayakumar K.N.
. Design and Implementation of a Smart Prosthetic Hand . ijetms;7(1):237-241. DOI: 10.46647/ijetms.2023.v07i01.033