2020_Journal_Body_Rocking__Arxiv.pdf (2.17 MB)

Improving Performance and Quantifying Uncertainty of Body-Rocking Detection using Bayesian Neural Networks

preprint

posted on 2021-10-14, 12:47 authored by Rafael Luiz da SilvaRafael Luiz da Silva, Boxuan Zhong, Yuhan Chen, Edgar Lobaton

Preprint of manuscript submitted to an IEEE Journal currently under revision.

Funding

National Science Foundation

National Cancer Institute

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Email Address of Submitting Author

rafaelonwork@gmail.com

ORCID of Submitting Author

0000-0001-9428-4400

Submitting Author's Institution

NC State University

Submitting Author's Country

United States of America

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Improving Performance and Quantifying Uncertainty of Body-Rocking Detection using Bayesian Neural Networks

Categories

Signal Processing and Analysis

Keywords

body-rocking Bayesian neural networks inertial measurement unit wearable sensor uncertainty quantification

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