no code implementations • 19 Apr 2021 • Mo Han, Mehrshad Zandigohar, Sezen Yagmur Gunay, Gunar Schirner, Deniz Erdogmus
We collected and utilized data from large gesture vocabularies with multiple dynamic actions to encode the transitions from one grasp intent to another based on common sequences of the grasp movements.
no code implementations • 8 Apr 2021 • Mehrshad Zandigohar, Mo Han, Mohammadreza Sharif, Sezen Yagmur Gunay, Mariusz P. Furmanek, Mathew Yarossi, Paolo Bonato, Cagdas Onal, Taskin Padir, Deniz Erdogmus, Gunar Schirner
Conclusion: Our experimental data analyses demonstrate that EMG and visual evidence show complementary strengths, and as a consequence, fusion of multimodal evidence can outperform each individual evidence modality at any given time.
no code implementations • 8 Mar 2021 • Mo Han, Sezen Ya{ğ}mur Günay, İlkay Yıldız, Paolo Bonato, Cagdas D. Onal, Taşkın Padır, Gunar Schirner, Deniz Erdo{ğ}muş
Convolutional neural network-based computer vision control of the prosthetic hand has received increased attention as a method to replace or complement physiological signals due to its reliability by training visual information to predict the hand gesture.
no code implementations • 8 Mar 2021 • Mo Han, Sezen Ya{ğ}mur Günay, Gunar Schirner, Taşkın Padır, Deniz Erdo{ğ}muş
Specifically, paired images from human eye-view and hand-view of various objects placed at different orientations have been captured at the initial state of grasping trials, followed by paired video, EMG and IMU from the arm of the human during a grasp, lift, put-down, and retract style trial structure.
no code implementations • 13 Jan 2021 • Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner
For lower arm amputees, prosthetic hands promise to restore most of physical interaction capabilities.
no code implementations • 28 Sep 2020 • Mo Han, Ozan Ozdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
Human computer interaction (HCI) involves a multidisciplinary fusion of technologies, through which the control of external devices could be achieved by monitoring physiological status of users.
no code implementations • 26 Aug 2020 • Mo Han, Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Recent developments in biosignal processing have enabled users to exploit their physiological status for manipulating devices in a reliable and safe manner.
no code implementations • 15 Apr 2020 • Mo Han, Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Recent developments in wearable sensors demonstrate promising results for monitoring physiological status in effective and comfortable ways.