Biomechatronics and Assistive Technology Lab (BioAstLab)

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Strive to Eliminate Barriers

Erkan Kaplanoglu

Research

Smart Essential Tremor Stopper (sETs)
EMG Supported Pneumatic Actuated Balance Board
Continuum Robot for Finger Rehabilitation
Adaptive Smart Gripper for Collaborative Robots
Adaptive Insole Design to Prevent Foot Ulcers in Diabetic Neuropathy Patients
Active and Passive Wrist and Ankle Rehabilitation Device
EEG Controlled HKFAO for Children with Cerebral Palsy
Visual rehabilitation software for Mobile Devices
Prediction of Prosthetics Hand Orientation for Different Grasps Using Machine Learning Algorithm
Design and Data-driven Predictive Control of An Active Ankle-foot Orthosis
EMG-controlled Hand Exoskeleton for Rehabilitation
A Deep Learning Approach for Final Grasping State Determination from Motion Trajectory of A Prosthetic Hand (+Tennessee State University)
Development of Simulated Hippotherapy System for Cerebral Palsy Children (VR+EMG+Game) (+ Marmara University)
24 DOF EMG Controlled Hybrid Actuated Prosthetic Hand (+Bogazici university)

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Publications

Journals(selected)

Kaplanoglu, E.; Akgun, G. Data-Driven Predictive Control of Exoskeleton for Hand Rehabilitation with Subspace Identification. Sensors 2022, 22, 7645. https://doi.org/10.3390/s22197645
Akgun, G., Kaplanoglu, E., & Erdemir, G. (2024). Neuroadaptive Control of a Continuum Robot for Finger Rehabilitation. Actuators, 13(12), 500. https://doi.org/10.3390/act13120500
S. D. Yıldız, G. Akgün, D. Gunal, E. Kaplanoglu, C. Akuner, ve Ü. Şehirli, “Developing a wearable device for upper extremity tremors”, Marmara Med J, c. 37, sy. 2, ss. 157–165, 2024, doi:10.5472/marumj.1483038
Ghaffar Nia, N., Kaplanoglu, E. & Nasab, A. Evaluation of artificial intelligence techniques in disease diagnosis and prediction. Discov Artif Intell 3, 5 (2023). https://doi.org/10.1007/s44163-023-00049-5
Erdemir, E., Kaplanoglu, E., Uyanik, C., & Akgun, G. (2025). Motion Trajectory Estimation for Hand Grasping States Using a Deep Learning Approach. Smart Wearable Technology, 1, A5-A5. https://doi.org/10.47852/bonviewSWT52025659
U. Demir et al., "Comparative Design Improvement of the Growing Rod for the Scoliosis Treatment Considering the Mechanical Complications," in IEEE Access, vol. 11, pp. 40107-40120, 2023,https://doi.org/10.1109/ACCESS.2023.3268147.
Uludag, M., Ulkir, O., Ertugrul, I. and Kaplanoglu, E., 2023. Design, Fabrication, and Experiments of a Soft Pneumatic Gripper with Closed-Loop Position Control. Journal of Testing and Evaluation, 51(5).
O. Ulkir, G. Akgun, A. Nasab, Kaplanoglu E., (2021). 'Data-Driven Predictive Control of a Pneumatic Ankle Foot Orthosis'. Advances in Electrical and Computer Engineering 21(1):65-74. https://doi.org/10.4316/AECE.2021.01007
Akgün G., Çetin E., Kaplanoglu E., (2020). “Exoskeleton design and adaptive compliance control for hand rehabilitation” Transactions of the Institute of Measurement and Control. ISSN: 01423312 https://doi.org/10.1177%2F0142331219874976
Ulkir O,Akgün G, Kaplanoglu E.(2019). Real-Time Implementation of Data-Driven Predictive Controller for an Artificial Muscle. Studies in Informatics and Control, 28(2), https://doi.org/10.24846/v28i2y201907
Uyanik, C., Hussaini, S. F., Erdemir, E., Kaplanoglu, E., & Sekmen, A. (2019). A deep learning approach for final grasping state determination from motion trajectory of a prosthetic hand. Procedia Computer Science, 158, 19-26.
Kaplanoglu E (2018)Bio-signal Controlled Upper Limb Prosthesis: From Design to Production. an international journal of experimental and clinical anatomy. Vol 12.pp
Gücüyener, A., and Kaplanoglu, E. (2017) “Wireless Hand Rehabilitation System (WHRS).” Balkan Journal of Electrical & Computer Engineering. Vol:5 No:1 pp. 9-13 (ISSN :2147-284X)
Ülkir, O., Gökmen G. and Kaplanoglu, E.,. (2017) “EMG Signal Classification Using Fuzzy Logic.” Balkan Journal of Electrical & Computer Engineering. Vol:5 No:2 pp. 97-101 (ISSN :147-284X)
Kaplanoglu, E., Arsan, T., and Varol, H.S. (2015) “Predictive Control of Constrained Pressure and Level Systems.” Turkish Journal of Electrical Engineering & Computer Sciences. Vol.23, pp. 641-653. (doi:10.3906/elk-1302-207).

16. Patent/Utility Models

April 2025, Pneumatically Actuated Platform or Improving Balance Control United States United States Patent D1071046 https://patents.google.com/patent/USD1071046S1/en
Feb. 2023, Essential Tremor Stopper United States Provisional Patent Application Serial No. 63/223,372

Book/Book Chapter

VIGOR: A Versatile, Individualized and Generative ORchestrator to Motivate the Movement of the People with Limited Mobility. Liang, Y., Wu, D., Ledesma, D., Guo, Z., Kaplanoglu, E., & Skjellum, A. (2021). In Smart and Pervasive Healthcare. IntechOpen. (Book Chapter)
“Biomechatronics System Design” (Turkish) Kaplanoglu, E.,Ülkir E., Akgün G., ISBN: 978-605-9594-24-0 - August 2017 (Book)

Conference Papers and Posters

Paper, G. Akgun, J. McDowell, B. Lippard and E. Kaplanoglu, "Sensor-Driven Control Algorithms for Active and Passive Hand Rehabilitation in Mirror Therapy," SoutheastCon 2025, Concord, NC, USA, 2025, pp. 1111-1116, doi: 10.1109/SoutheastCon56624.2025.10971471.
Paper, E. Kaplanoglu, G. Akgun, G. Erdemir and T. Platt, "Design and PID Control of Tendon-Driven Continuum Robot for Finger Rehabilitation," SoutheastCon 2024, Atlanta, GA, USA, 2024, pp. 681-685, doi:10.1109/SoutheastCon52093.2024.10500254.
Paper, N. Ghaffar Nia, E. Kaplanoglu, A. Nasab and G. Akgun, "Enhancing Prosthetic Hand Control: A Study on IMU Sensor-Based Machine Learning for Precise Hand Orientation Classification," SoutheastCon 2024, Atlanta, GA, USA, 2024, pp. 668-674, doi: 10.1109/SoutheastCon52093.2024.10500296.
Paper, N. G. Nia, E. Kaplanoglu, A. Nasab and H. Qin, "Human Activity Recognition Using Machine Learning Algorithms Based on IMU Data," 2023 5th International Conference on Bio-engineering for Smart Technologies (BioSMART), Paris, France, 2023, pp. 1-8, doi: 10.1109/BioSMART58455.2023.10162095.
Paper, N. G. Nia, Amin Amiri, A. Nasab E. Kaplanoglu, and Y. Liang, " The Power of ANN-Random Forest Algorithm in Human Activities Recognition with IMU Data," 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Pittsburgh, Pennsylvania from October 15-18, 2023 (Accepted)
Paper, Tantawi, K., Nasab, A., Potter, L., Tantawi, O., Wilson, N., Henrie, A., ... & Kaplanoglu, E. (2023, May). Mechatronics Education-Current and Future Trends. In 11th International Symposium on Digital Forensics and Security (ISDFS) (pp. 1-5).doi: 10.1109/ISDFS58141.2023.10131706.
Paper, N. Ghaffar Nia, E. Kaplanoglu and A. Nasab, "EMG-Based Hand Gestures Classification Using Machine Learning Algorithms," SoutheastCon 2023, Orlando, FL, USA, 2023, pp. 787-792, doi: 10.1109/SoutheastCon51012.2023.10115158.
Paper, Ghaffar Nia, N., & Kaplanoglu, E. (2023). Towards Prediction of Prosthetics Hand Orientation for Different Grasps Using Machine Learning Algorithm. UTC- ReSEARCH Dialogues Conference proceedings
Poster, Platt, Thomas; Kaplanoglu, Erkan; Pukl, Mario; and Groom, Katelin, "Continuum robot for finger rehabilitation". ReSEARCH Dialogues Conference proceedings. https://scholar.utc.edu/research-dialogues/2023/proceedings/7.
Paper, Nia, N.G., Nasab, A. and Kaplanoglu, E., 2022, December. Reinforcement Learning-Based Grasp Pattern Control of Upper Limb Prosthetics in an AI Platform. In 2022 3rd International Informatics and Software Engineering Conference (IISEC) (pp. 1-4). IEEE.
Keynote Speaker, E. Kaplanoglu, “Medical Device Development” 18th of Developments in Physiotherapy Congress, Ankara, Turkey September 2022