Human Activity Recognition Based on Improved Bayesian Convolution Network to Analyze Health Care Data Using Wearable IoT Device

Human Activity Recognition Based on Improved Bayesian Convolution Network to Analyze Health Care Data Using Wearable IoT Device

In the current scenario, it is significant to design active learning paradigms for analyzing human activities using Wearable Internet of Things (W-IoT) sensors for health parameter analysis. Further, in the healthcare sector, data collection using decision-making tools uses wearable sensors for moni...

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Bibliographic Details
Main Authors: Zhiqing Zhou, Heng Yu, Hesheng Shi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Bayesian network
wearable IoT
deep learning
aleatoric
epistemic
Online Access:https://ieeexplore.ieee.org/document/9086799/

Internet

https://ieeexplore.ieee.org/document/9086799/

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