NeuraLoop: a high bandwidth closed-loop human–machine interface

NeuraLoop demonstrates the feasibility of high-bandwidth, bidirectional HMI using a wearable, textile-based interface. The system enables accurate recognition of subtle micro-gestures and effective delivery of spatially encoded tactile feedback. These capabilities open new possibilities for intuitive control in applications such as prosthetics, rehabilitation, and virtual/augmented reality. Future work will explore multimodal feedback encoding and proportional gesture control.

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Publication Details

Journal
Journal of NeuroEngineering and Rehabilitation
Published
2025-12-12
DOI
https://doi.org/10.1186/s12984-025-01815-5
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
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article

NeuraLoop: a high bandwidth closed-loop human–machine interface

Strahinja Došen, Erika G. Spaich, Matija Štrbac, Luis Pelaez Murciego et al.
Journal of NeuroEngineering and Rehabilitation
Advanced Sensor and Energy Harvesting Materials
article

NeuraLoop: a high bandwidth closed-loop human–machine interface

Strahinja Došen, Erika G. Spaich, Matija Štrbac, Luis Pelaez Murciego, Nikola Jorgovanović, Hans Henrik Dalgaard, Elias Thomassen Dam
article en

Abstract

NeuraLoop demonstrates the feasibility of high-bandwidth, bidirectional HMI using a wearable, textile-based interface. The system enables accurate recognition of subtle micro-gestures and effective delivery of spatially encoded tactile feedback. These capabilities open new possibilities for intuitive control in applications such as prosthetics, rehabilitation, and virtual/augmented reality. Future work will explore multimodal feedback encoding and proportional gesture control.

Journal of NeuroEngineering and RehabilitationVol. 23(1)
University of Novi Sad (RS), Aalborg University (DK)
Openalex Percentile: Top 61%
Advanced Sensor and Energy Harvesting Materials
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