UTC RAVE Alert

Publications

JOURNALS (Selected)

  1. 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
  2. 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
  3. 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
  4. 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
  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
  6. 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.
  7. 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).
  8. 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
  9. 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
  10. 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
  11. 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.
  12. Kaplanoglu E (2018)Bio-signal Controlled Upper Limb Prosthesis: From Design to Production. an international journal of experimental and clinical anatomy. Vol 12.pp
  13. 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)
  14. 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)
  15. 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).

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

  1. Liang, Y., Wu, D., Ledesma, D., Guo, Z., Kaplanoglu, E., & Skjellum, A. (2021). VIGOR: A Versatile, Individualized and Generative ORchestrator to Motivate the Movement of the People with Limited Mobility. IntechOpen. doi: 10.5772/intechopen.96025 (Book Chapter in Smart and Pervasive Healthcare)
  2. Kaplanoglu, E.,Ülkir E., Akgün G (2017). Biomechatronics System Design (Turkish). ISBN: 978-605-9594-24-0 (Book)

CONFERENCE PAPERS & POSTERS

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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)
  6. 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.
  7. 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.
  8. 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
  9. 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.
  10. 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.
  11. Keynote Speaker, E. Kaplanoglu, “Medical Device Development” 18th of Developments in Physiotherapy Congress, Ankara, Turkey September 2022

For more :  ‪Erkan Kaplanoglu - ‪Google Scholar

College of Engineering and Computer Science

College of Engineering and Computer Science