Article

FSID: A Novel Approach to Human Activity Recognition Using Few-Shot Weight Imprinting

2025-01-10

Abstract excerpt

<title>Abstract</title> <p>Accurate recognition of activities from gait sensory data is essential for healthcare and wellness monitoring applications. This paper proposes Few-Shot Imprinted DINO (FSID), a new approach for Human Activity Recognition (HAR) in scarce-data settings, combining Few-Shot learning with weight imprinting. The methodology transforms gait sensory signals into spectrograms using the Fourier...

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Literature Corpus work: 6195fd7f-a988-5521-9ae8-1844fb2016c4
DOI: 10.21203/rs.3.rs-5752651/v1

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