• Analysis of human gait using hybrid EEG-fNIRS-based BCI system: A review 

      Khan, Haroon; Naseer, Noman; Yazidi, Anis; Eide, Per Kristian; Hassan, Wajahat; Mirtaheri, Peyman (Peer reviewed; Journal article, 2021)
      Human gait is a complex activity that requires high coordination between the central nervous system, the limb, and the musculoskeletal system. More research is needed to understand the latter coordination's complexity in ...
    • Classification of Individual Finger Movements from Right Hand Using fNIRS Signal 

      Khan, Haroon; Noori, Farzan Majeed; Yazidi, Anis; Uddin, Md Zia; Khan, M.N Afzal; Mirtaheri, Peyman (Sensors;Volume 21 / Issue 23, Peer reviewed; Journal article, 2021-11-28)
      Functional near-infrared spectroscopy (fNIRS) is a comparatively new noninvasive, portable, and easy-to-use brain imaging modality. However, complicated dexterous tasks such as individual finger-tapping, particularly using ...
    • A methodology for building a data-enclosing tunnel for automated online-feedback in simulator training 

      Marcano, Laura; Manca, Davide; Yazidi, Anis; Komulainen, Tiina M. (Computers and Chemical Engineering;Volume 132, 4 January 2020, 106621, Journal article; Peer reviewed, 2019-10-21)
      Extensive research confirms that feedback is the key to an effective training. However, in many domains, human trainers, who can provide feedback to trainees, are considered not only a costly but also a scarce resource. ...
    • A methodology for building a data-enclosing tunnel for automated online-feedback in simulator training 

      Marcano, Laura; Manca, Davide; Yazidi, Anis; Komulainen, Tiina M. (Computers and Chemical Engineering;Volume 132, Journal article; Peer reviewed, 2020-10-21)
      Extensive research confirms that feedback is the key to an effective training. However, in many domains, human trainers, who can provide feedback to trainees, are considered not only a costly but also a scarce resource. ...
    • Single-leg stance on a challenging surface can enhance cortical activation in the right hemisphere – A case study 

      Khan, Haroon; Qureshi, Nauman Khalid; Yazidi, Anis; Engell, Håvard; Mirtaheri, Peyman (Peer reviewed; Journal article, 2023)
      Maintaining body balance, whether static or dynamic, is critical in performing everyday activities and developing and optimizing basic motor skills. This study investigates how a professional alpine skier’s brain activates ...
    • Towards Effective Automatic Feedback for Simulator Training 

      Marcano, Laura; Yazidi, Anis; Ferati, Mexhid; Komulainen, Tiina M. (Journal article; Peer reviewed, 2017)
      The presence of an expert instructor during simulator training is of great importance for the trainees, if not indispensable. The instructor’s role is to give feedback and guide the trainees to help them make the right ...
    • Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface 

      Khan, Haroon; Khadka, Rabindra; Sultan, Malik Shahid; Yazidi, Anis; Ombao, Hernando; Mirtaheri, Peyman (Peer reviewed; Journal article, 2024)
      In this study, we explore the potential of using functional near-infrared spectroscopy (fNIRS) signals in conjunction with modern machine-learning techniques to classify specific anatomical movements to increase the number ...
    • Using the concept of data enclosing tunnel as an online feedback tool for simulator training 

      Marcano, Laura; Yazidi, Anis; Manca, Davide; Komulainen, Tiina M. (Linköping Electronic Conference Proceedings;Proceedings of The 59th Conference on Simulation and Modelling (SIMS 59), Journal article; Journal article; Peer reviewed, 2018-11-19)
      Feedback is one of the key factors that makes industrial simulator training an effective learning tool. Usually, the trainees receive feedback from the instructor, who guides them through the simulation tasks. However, ...