Professional Education

  • BS, Yeditepe University, Electrical and Electronics Engineering (2011)
  • MS, Sabanci University, Mechatronics (2013)
  • Doctor of Philosophy, Higher Schl Univ & Adv Stu Sant' Anna (2017)


  • Mine Sarac Stroppa, Massimiliano Solazzi, Massimiliano Gabardi, Eduardo Sotgiu, Massimo Bergamasco, and Antonio Frisoli. "Italy Patent WO2017145136-A1 Exoskeleton device for the hand", Scuola Superiore Sant'Anna

Research Interests

  • Technology and Education

All Publications

  • Design Requirements of Generic Hand Exoskeletons and Survey of Hand Exoskeletons for Rehabilitation, Assistive, or Haptic Use IEEE TRANSACTIONS ON HAPTICS Sarac, M., Solazzi, M., Frisoli, A. 2019; 12 (4): 400–413


    Most current hand exoskeletons have been designed specifically for rehabilitation, assistive, or haptic applications to simplify the design requirements. Clinical studies on poststroke rehabilitation have shown that adapting assistive or haptic applications into physical therapy sessions significantly improves the motor learning and treatment process. The recent technology can lead to the creation of generic hand exoskeletons that are application-agnostic. In this paper, our motivation is to create guidelines and best practices for generic exoskeletons by reviewing the literature of current devices. First, we describe each application and briefly explain their design requirements, and then list the design selections to achieve these requirements. Then, we detail each selection by investigating the existing exoskeletons based on their design choices, and by highlighting their impact on application types. With the motivation of creating efficient generic exoskeletons in the future, we finally summarize the best practices in the literature.

    View details for DOI 10.1109/TOH.2019.2924881

    View details for Web of Science ID 000505585900002

    View details for PubMedID 31251193

  • Design and kinematic optimization of a novel underactuated robotic hand exoskeleton MECCANICA Sarac, M., Solazzi, M., Sotgiu, E., Bergamasco, M., Frisoli, A. 2017; 52 (3): 749–61
  • ASSISTON-MOBILE: a series elastic holonomic mobile platform for upper extremity rehabilitation ROBOTICA Sarac, M., Ergin, M., Erdogan, A., Patoglu, V. 2014; 32 (8): 1433–59
  • Brain Computer Interface based robotic rehabilitation with online modification of task speed. IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Sarac, M. n., Koyas, E. n., Erdogan, A. n., Cetin, M. n., Patoglu, V. n. 2013; 2013: 6650423


    We present a systematic approach that enables online modification/adaptation of robot assisted rehabilitation exercises by continuously monitoring intention levels of patients utilizing an electroencephalogram (EEG) based Brain-Computer Interface (BCI). In particular, we use Linear Discriminant Analysis (LDA) to classify event-related synchronization (ERS) and desynchronization (ERD) patterns associated with motor imagery; however, instead of providing a binary classification output, we utilize posterior probabilities extracted from LDA classifier as the continuous-valued outputs to control a rehabilitation robot. Passive velocity field control (PVFC) is used as the underlying robot controller to map instantaneous levels of motor imagery during the movement to the speed of contour following tasks. In other words, PVFC changes the speed of contour following tasks with respect to intention levels of motor imagery. PVFC also allows decoupling of the task and the speed of the task from each other, and ensures coupled stability of the overall robot patient system. The proposed framework is implemented on AssistOn-Mobile--a series elastic actuator based on a holonomic mobile platform, and feasibility studies with healthy volunteers have been conducted test effectiveness of the proposed approach. Giving patients online control over the speed of the task, the proposed approach ensures active involvement of patients throughout exercise routines and has the potential to increase the efficacy of robot assisted therapies.

    View details for DOI 10.1109/ICORR.2013.6650423

    View details for PubMedID 24187241