• EMG Signals based Human Action Recognition via Deep Belief Networks 

      Zhang, Jianhua; Ling, Chen; Li, Sunan (IFAC-PapersOnLine;Volume 52, Issue 19, 2019, Journal article; Peer reviewed, 2019-12-24)
      Electromyography (EMG) signals can be used for action classification. Nonetheless, due to their nonlinear and time-varying properties, it is difficult to classify the EMG signals and it is critical to use appropriate ...
    • Handle Diameter and the Influence on the Ergonomics of Crutches 

      Bertolaccini, Guilherme S.; Vasquez, Melissa Marin; Bianchi, Ana Carolina; Sandnes, Frode Eika; Paschoarelli, Luis C.; Medola, Fausto Orsi (Chapter; Peer reviewed, 2017)
      The research in the field of ergonomics can contribute to the design process of Assistive Technologies using objective and subjective data measurements. The auxiliary crutches are assistive devices commonly ...