Tubular Curvature Filter: Implicit Pointwise Curvature Calculation Method for Tubular Objects

no code implementations • 20 Nov 2023 • Elifnur Sunger, Beyza Kalkanli, Veysi Yildiz, Tales Imbiriba, Peter Campbell, Deniz Erdogmus

This paper presents a Tubular Curvature Filter method that locally calculates the acceleration of bundles of curves that traverse along the tubular object parallel to the centerline.

Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder

1 code implementation • 30 Oct 2023 • Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters

New subjects only demonstrate the single component gestures and we seek to extrapolate from these to all possible single or combination gestures.

Electromyography (EMG) Gesture Recognition

A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition

no code implementations • 13 Sep 2023 • Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Stephanie Naufel, Tales Imbiriba, Eugene Tunik, Deniz Erdoğmuş, Mathew Yarossi

Main Results: We found that a problem transformation approach using a parallel model architecture in combination with a non-linear classifier, along with restricted synthetic data generation, shows promise in increasing the expressivity of sEMG-based gestures with a short calibration time.

Gesture Recognition Multi-Label Classification +1

User Training with Error Augmentation for Electromyogram-based Gesture Classification

1 code implementation • 13 Sep 2023 • Yunus Bicer, Niklas Smedemark-Margulies, Basak Celik, Elifnur Sunger, Ryan Orendorff, Stephanie Naufel, Tales Imbiriba, Deniz Erdoğmuş, Eugene Tunik, Mathew Yarossi

We designed and tested a system for real-time control of a user interface by extracting surface electromyographic (sEMG) activity from eight electrodes in a wrist-band configuration.

Gesture Recognition