Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals

1 code implementation • 12 Sep 2023 • Ran Liu, Ellen L. Zippi, Hadi Pouransari, Chris Sandino, Jingping Nie, Hanlin Goh, Erdrin Azemi, Ali Moin

To achieve effective pretraining in the presence of potential distributional shifts, we propose a frequency-aware masked autoencoder ($\texttt{bio}$FAME) that learns to parameterize the representation of biosignals in the frequency space.

Analysis of Contraction Effort Level in EMG-Based Gesture Recognition Using Hyperdimensional Computing

no code implementations • 2 Jan 2019 • Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, Luca Benini, Jan M. Rabaey

Varying contraction levels of muscles is a big challenge in electromyography-based gesture recognition.

General Classification Hand Gesture Recognition +1

An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier

1 code implementation • 28 Feb 2018 • Ali Moin, Andy Zhou, Abbas Rahimi, Simone Benatti, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan, Fred Burghardt, Luca Benini, Ana C. Arias, Jan M. Rabaey

We present an end-to-end system combating this variability using a large-area, high-density sensor array and a robust classification algorithm.

EMG Gesture Recognition General Classification +4