Inference of Upcoming Human Grasp Using EMG During Reach-to-Grasp Movement

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.

Electromyography (EMG) General Classification +2

Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control

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.

Electroencephalogram (EEG) Electromyography (EMG)