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Individual Gait Identification Using FBG Accelerometer-Based Bispectrum Features and Unsupervised Clustering

Year: 2025

Type: conference-paper

Source: International Conference on Communications

DOI: 10.1109/icc52391.2025.11160757

Authors: Ghada Alhussein, Haoran Chi, Nélia Alberto, Paulo Antunes, Leontios Hadjileontiadis, Ayman Radwan, M. Fátima Domingues

Institutions: Khalifa University of Science and Technology, University of Aveiro

Language: English

Topic: Gait Recognition and Analysis

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4414539280

FWCI:

Cites: 23

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