IEEE BioCAS 2024

Slides VowelNet oral slides Train-on-Request poster PDF VowelNet publication Train-on-Request publication
VowelNet oral presentation at IEEE BioCAS 2024

Abstract

BioCAS 2024 was all about tiny-yet-capable brain–machine interfaces. I presented VowelNet, our lightweight neural network for wearable speech imagery, on the main stage, and then walked the poster floor with Train-on-Request (ToR)—our on-device continual learning workflow for adaptive BMIs. Both pieces highlight how ultra-low-power embedded platforms can deliver rich human–machine interaction.

Date
17, Oct, 2024
Event
IEEE Biomedical Circuits and Systems Conference (BioCAS)
Location
Xi’an International Conference Center, Xi’an, China
8 East Minguang Road, Xi'an, Shaanxi 710018

Conference snapshot

  • Oral spotlight: VowelNet: Enhancing Communication with Wearable EEG-Based Vowel Imagery (joint work with Victor Javier Kartsch Morinigo, Andrea Cossettini, Xiaying Wang, Luca Benini).
  • Poster tour: Train-On-Request (ToR): An On-Device Continual Learning Workflow for Adaptive Real-World Brain–Machine Interfaces with Cristian Cioflan and Lan Mei.
  • Theme: Making wearable BMIs responsive, robust, and comfortable enough for everyday use.
Presenting VowelNet on the BioCAS main stage.
Presenting VowelNet on the BioCAS main stage.
Poster session for Train-on-Request (ToR).
Poster session for Train-on-Request (ToR).

Slide & poster downloads

BioCAS Speech Imagery Wearable EEG Continual Learning
Thorir Mar Ingolfsson
Thorir Mar Ingolfsson
Postdoctoral Researcher

I develop efficient machine learning systems for biomedical wearables that operate under extreme resource constraints. My work bridges foundation models, neural architecture design, and edge deployment to enable real-time biosignal analysis on microwatt-scale devices.

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