{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T02:02:20Z","timestamp":1772676140234,"version":"3.50.1"},"reference-count":42,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100009392","name":"Prince Sattam Bin Abdulaziz University","doi-asserted-by":"publisher","award":["PSAU\/2023\/R\/1444"],"award-info":[{"award-number":["PSAU\/2023\/R\/1444"]}],"id":[{"id":"10.13039\/100009392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.mdpi.com"],"crossmark-restriction":true},"short-container-title":["Robotics"],"abstract":"<jats:p>One of the most difficult parts of stroke therapy is hand mobility recovery. Indeed, stroke is a serious medical disorder that can seriously impair hand and locomotor movement. To improve hand function in stroke patients, new medical technologies, such as various wearable devices and rehabilitation therapies, are being developed. In this study, a new design of electromyography (EMG)-controlled 3D-printed hand exoskeleton is presented. The exoskeleton was created to help stroke victims with their gripping abilities. Computer-aided design software was used to create the device\u2019s 3D architecture, which was then printed using a polylactic acid filament. For online classifications, the performance of two classifiers\u2014the support vector machine (SVM) and the K-near neighbor (KNN)\u2014was compared. The Robot Operating System (ROS) connects all the various system nodes and generates the decision for the hand exoskeleton. The selected classifiers had high accuracy, reaching up to 98% for online classification performed with healthy subjects. These findings imply that the new wearable exoskeleton, which could be controlled in accordance with the subjects\u2019 motion intentions, could aid in hand rehabilitation for a wider motion range and greater dexterity.<\/jats:p>","DOI":"10.3390\/robotics12040095","type":"journal-article","created":{"date-parts":[[2023,7,3]],"date-time":"2023-07-03T01:03:02Z","timestamp":1688346182000},"page":"95","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["RETRACTED: A Newly-Designed Wearable Robotic Hand Exoskeleton Controlled by EMG Signals and ROS Embedded Systems"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3836-9009","authenticated-orcid":false,"given":"Ismail","family":"Abdallah","sequence":"first","affiliation":[{"name":"Control and Energy Management Laboratory (CEM Lab.), Ecole Nationale d\u2019Ing\u00e9nieurs de Sfax (ENIS), University of Sfax, Sfax 3038, Tunisia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8785-3513","authenticated-orcid":false,"given":"Yassine","family":"Bouteraa","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia"}]}],"member":"1968","published-online":{"date-parts":[[2023,7,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1177\/1747493016676285","article-title":"Global stroke statistics","volume":"12","author":"Thrift","year":"2017","journal-title":"Int. J. Stroke"},{"key":"ref_2","first-page":"1","article-title":"Design and development of 3D printed myoelectric robotic exoskeleton for hand rehabilitation","volume":"10","author":"Bouteraa","year":"2017","journal-title":"Int. J. Smart Sens. Intell. Syst."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1007\/s10846-018-0966-6","article-title":"Training of hand rehabilitation using low cost exoskeleton and vision-based game interface","volume":"96","author":"Bouteraa","year":"2019","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Bouteraa, Y., Ben Abdallah, I., Alnowaiser, K., Islam, M.R., Ibrahim, A., and Gebali, F. (2022). Design and Development of a Smart IoT-Based Robotic Solution for Wrist Rehabilitation. Micromachines, 13.","DOI":"10.3390\/mi13060973"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"3485","DOI":"10.1016\/j.aej.2021.02.001","article-title":"Smart solution for pain detection in remote rehabilitation","volume":"60","author":"Bouteraa","year":"2021","journal-title":"Alex. Eng. J."},{"key":"ref_6","first-page":"4835","article-title":"Fuzzy logic-based connected robot for home rehabilitation","volume":"40","author":"Bouteraa","year":"2021","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"173345","DOI":"10.1109\/ACCESS.2020.3025273","article-title":"A hybrid, wearable exoskeleton glove equipped with variable stiffness joints, abduction capabilities, and a telescopic thumb","volume":"8","author":"Gerez","year":"2020","journal-title":"IEEE Access"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1109\/TOH.2019.2924881","article-title":"Design requirements of generic hand exoskeletons and survey of hand exoskeletons for rehabilitation, assistive, or haptic use","volume":"12","author":"Sarac","year":"2019","journal-title":"IEEE Trans. Haptics"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2214","DOI":"10.1109\/TNSRE.2020.3018649","article-title":"Preliminary assessment of a hand and arm exoskeleton for enabling bimanual tasks for individuals with hemiparesis","volume":"28","author":"Gasser","year":"2020","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1109\/TNSRE.2019.2896269","article-title":"Deep learning for electromyographic hand gesture signal classification using transfer learning","volume":"27","author":"Fall","year":"2019","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"4365","DOI":"10.1038\/s41598-018-22588-z","article-title":"Dynamical coordination of hand intrinsic muscles for precision grip in diabetes mellitus","volume":"8","author":"Li","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Yang, S.-H., Koh, C.-L., Hsu, C.-H., Chen, P.-C., Chen, J.-W., Lan, Y.-H., Yang, Y., Lin, Y.-D., Wu, C.-H., and Liu, H.-K. (2021). An instrumented glove-controlled portable hand-exoskeleton for bilateral hand rehabilitation. Biosensors, 11.","DOI":"10.3390\/bios11120495"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1186\/s12984-019-0633-6","article-title":"Development of 3D-printed myoelectric hand orthosis for patients with spinal cord injury","volume":"16","author":"Yoo","year":"2019","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"137809","DOI":"10.1109\/ACCESS.2021.3118281","article-title":"RobHand: A hand exoskeleton with real-time EMG-driven embedded Control. Quantifying hand gesture recognition delays for bilateral rehabilitation","volume":"9","author":"Cisnal","year":"2021","journal-title":"IEEE Access"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1109\/TOH.2015.2417570","article-title":"An EMG-controlled robotic hand exoskeleton for bilateral rehabilitation","volume":"8","author":"Leonardis","year":"2015","journal-title":"IEEE Trans. Haptics"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"711047","DOI":"10.3389\/fnbot.2021.711047","article-title":"Control of newly-designed wearable robotic hand exoskeleton based on surface Electromyographic signals","volume":"15","author":"Li","year":"2021","journal-title":"Front. Neurorobotics"},{"key":"ref_17","unstructured":"Bassa, M.M. (2015). Development of the Communication System for a Lower Limb Human Exoskeleton Using the Ros Middleware. [Master\u2019s Thesis, Universit\u00e0 Degli Studi di Padova]."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Zhao, L., Yang, T., Yu, P., and Yang, Y. (2020, January 6\u20138). An exoskeleton-based master device for dual-arm robot teleoperation. Proceedings of the 2020 Chinese Automation Congress (CAC), Shanghai, China.","DOI":"10.1109\/CAC51589.2020.9327305"},{"key":"ref_19","unstructured":"Boheng, W., Sheng, C., Bo, Z., Zhiwei, L., and Xiang, G. (2018). Design and implementation of shoulder exoskeleton robot. Social Robotics: 10th International Conference, ICSR 2018, Qingdao, China, 28\u201330 November 2018, Proceedings 10, Springer International Publishing."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Abdelbar, M., Mohamed, I., Abdellatif, A., and Hegaze, M.M. (2022). Towards the Mechatronic Development of a New Upper-Limb Exoskeleton (SAMA). Designs, 6.","DOI":"10.3390\/designs6050080"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Yu, H., Li, H., and Wang, Y. (2023). Teleoperation of a Dexterous Hand Using a Wearable Hand. Cognitive Systems and Information Processing: 7th International Conference, ICCSIP 2022, Fuzhou, China, 17\u201318 December 2022, Revised Selected Papers, Springer.","DOI":"10.1007\/978-981-99-0617-8_38"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Pav\u00f3n-Pulido, N., L\u00f3pez-Riquelme, J.A., and Feli\u00fa-Batlle, J.J. (2019). Intelligent Control of an Exoskeleton for Rehabilitation Purposes Using a ROS-Based Software Architecture. Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, 3\u20136 September 2019, Proceedings, Part I 19, Springer International Publishing.","DOI":"10.1007\/978-3-030-30241-2_30"},{"key":"ref_23","first-page":"31","article-title":"ROS2 for ROS1 users","volume":"Volume 5","author":"Stavrinos","year":"2021","journal-title":"Robot Operating System (ROS) The Complete Reference"},{"key":"ref_24","unstructured":"Kay, J., and Tsouroukdissian, A.R. (2015). Real-Time Control in ROS and ROS 2.0, Open Source Robotics Foundation. ROSCon15."},{"key":"ref_25","first-page":"5","article-title":"ROS: An open-source Robot Operating System","volume":"3","author":"Quigley","year":"2009","journal-title":"ICRA Workshop Open Source Softw."},{"key":"ref_26","unstructured":"Lentin, J. (2018). Robot Operating System for Absolute Beginners, Apress."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Maruyama, Y., Kato, S., and Azumi, T. (2016, January 13\u201314). Exploring the performance of ROS2. Proceedings of the 13th International Conference on Embedded Software, Chengdu, China.","DOI":"10.1145\/2968478.2968502"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"eabm6074","DOI":"10.1126\/scirobotics.abm6074","article-title":"Robot Operating System 2: Design, architecture, and uses in the wild","volume":"7","author":"Macenski","year":"2022","journal-title":"Sci. Robot."},{"key":"ref_29","unstructured":"Stegeman, D., and Hermens, H. (2007). Standards for Surface Electromyography: The European Project Surface EMG for Non-Invasive 355 Assessment of Muscles (SENIAM), Roessingh Research and Development."},{"key":"ref_30","unstructured":"Phinyomark, A., Hirunviriya, S., Limsakul, C., and Phukpattaranont, P. (2010, January 19\u201321). Evaluation of EMG feature extraction for hand movement recognition based on Euclidean distance and standard deviation. Proceedings of the ECTI-CON2010: The 2010 ECTI International Confernce on Electrical Engineering\/Electronics, Computer, Telecommunications and Information Technology, Chiang Mai, Thailand."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"101872","DOI":"10.1016\/j.bspc.2020.101872","article-title":"Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition","volume":"58","author":"Tuncer","year":"2020","journal-title":"Biomed. Signal Process. Control"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Bouteraa, Y., Ben Abdallah, I., and Boukthir, K. (2023). A New Wrist\u2013Forearm Rehabilitation Protocol Integrating Human Biomechanics and SVM-Based Machine Learning for Muscle Fatigue Estimation. Bioengineering, 10.","DOI":"10.3390\/bioengineering10020219"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.bspc.2016.01.011","article-title":"Distance and mutual information methods for EMG feature and channel subset selection for classification of hand movements","volume":"27","author":"Kanitz","year":"2016","journal-title":"Biomed. Signal Process. Control"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Too, J., Abdullah, A.R., Saad, N.M., and Tee, W. (2019). EMG feature selection and classification using a Pbest-guide binary particle swarm optimization. Computation, 7.","DOI":"10.3390\/computation7010012"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"026005","DOI":"10.1088\/1741-2552\/aaf4c3","article-title":"Prediction of finger kinematics from discharge timings of motor units: Implications for intuitive control of myoelectric prostheses","volume":"16","author":"Chen","year":"2019","journal-title":"J. Neural Eng."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Parajuli, N., Sreenivasan, N., Bifulco, P., Cesarelli, M., Savino, S., Niola, V., Esposito, D., Hamilton, T.J., Naik, G.R., and Gunawardana, U. (2019). Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation. Sensors, 19.","DOI":"10.3390\/s19204596"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"eaaw6339","DOI":"10.1126\/scirobotics.aaw6339","article-title":"A myoelectric prosthetic hand with muscle synergy\u2013based motion determination and impedance model\u2013based biomimetic control","volume":"4","author":"Furui","year":"2019","journal-title":"Sci. Robot."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1785","DOI":"10.1109\/TNSRE.2017.2699598","article-title":"Gaussian process autoregression for simultaneous proportional multi-modal prosthetic control with natural hand kinematics","volume":"25","author":"Xiloyannis","year":"2017","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"2205","DOI":"10.1109\/TNSRE.2019.2936622","article-title":"A learning scheme for EMG based decoding of dexterous, in-hand manipulation motions","volume":"27","author":"Dwivedi","year":"2019","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_40","first-page":"V001T09A011","article-title":"A soft high force hand exoskeleton for rehabilitation and assistance of spinal cord injury and stroke individuals","volume":"Volume 41037","author":"Yu","year":"2019","journal-title":"Frontiers in Biomedical Devices"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Yun, Y., Dancausse, S., Esmatloo, P., Serrato, A., Merring, C.A., Agarwal, P., and Deshpande, A.D. (June, January 29). Maestro: An EMG-driven assistive hand exoskeleton for spinal cord injury patients. Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA), Singapore.","DOI":"10.1109\/ICRA.2017.7989337"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1109\/MSP.2012.2203480","article-title":"Myoelectric control of artificial limbs\u2014is there a need to change focus? [In the spotlight]","volume":"29","author":"Jiang","year":"2012","journal-title":"IEEE Signal Process. Mag."}],"updated-by":[{"DOI":"10.3390\/robotics13020021","type":"retraction","label":"Retraction","source":"publisher","updated":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000}}],"container-title":["Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2218-6581\/12\/4\/95\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T14:48:29Z","timestamp":1754232509000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2218-6581\/12\/4\/95"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,1]]},"references-count":42,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2023,8]]}},"alternative-id":["robotics12040095"],"URL":"https:\/\/doi.org\/10.3390\/robotics12040095","relation":{"retraction":[{"id-type":"doi","id":"10.3390\/robotics13020021","asserted-by":"object"}]},"ISSN":["2218-6581"],"issn-type":[{"value":"2218-6581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,1]]}}}