ALVI Interface: Towards Full Hand Motion Decoding for Amputees Using sEMG

Aleksandr Kovalev, Anna Makarova, Petr Chizhov, Matvey Antonov, Gleb Duplin +6 more
2/28/2025
cs.LGq-bio.NC

No confident code implementation found for this paper.

Abstract

We present a system for decoding hand movements using surface EMG signals. The interface provides real-time (25 Hz) reconstruction of finger joint angles across 20 degrees of freedom, designed for upper limb amputees. Our offline analysis shows 0.8 correlation between predicted and actual hand movements. The system functions as an integrated pipeline with three key components: (1) a VR-based data collection platform, (2) a transformer-based model for EMG-to-motion transformation, and (3) a real-time calibration and feedback module called ALVI Interface. Using eight sEMG sensors and a VR training environment, users can control their virtual hand down to finger joint movement precision, as demonstrated in our video: youtube link.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifolds

83% match1 repo22023

A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning

81% match2023

emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation

80% match1 repo2832024

User Training with Error Augmentation for Electromyogram-based Gesture Classification

80% match1 repo62023

FORS-EMG: A Novel sEMG Dataset for Hand Gesture Recognition Across Multiple Forearm Orientations

80% match2024

Combining Vision and EMG-Based Hand Tracking for Extended Reality Musical Instruments

79% match1 repo92023

Cite this paper

@article{kovalev2025alvi,
  title  = {ALVI Interface: Towards Full Hand Motion Decoding for Amputees Using sEMG},
  author = {Aleksandr Kovalev and Anna Makarova and Petr Chizhov and Matvey Antonov and Gleb Duplin and Vladislav Lomtev and Viacheslav Gostevskii and Vladimir Bessonov and Andrey Tsurkan and Mikhail Korobok and Aleksejs Timčenko},
  year   = {2025},
  eprint = {2502.21256},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2502.21256v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2502.21256.svg)](https://codeofpaper.com/paper/2502.21256)

Discussion