no code implementations • 8 Mar 2024 • Narges Rashvand, Kenneth Witham, Gabriel Maldonado, Vinit Katariya, Nishanth Marer Prabhu, Gunar Schirner, Hamed Tabkhi
Automatic modulation recognition (AMR) is vital for accurately identifying modulation types within incoming signals, a critical task for optimizing operations within edge devices in IoT ecosystems.
no code implementations • 28 Feb 2024 • Michael Potter, Murat Akcakaya, Marius Necsoiu, Gunar Schirner, Deniz Erdogmus, Tales Imbiriba
To address this, we propose a fully Bayesian RATR framework employing Optimal Bayesian Fusion (OBF) to aggregate classification probability vectors from multiple radars.
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, Deniz Erdogmus, Gunar Schirner
Deep Learning plays a significant role in assisting humans in many aspects of their lives.
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.