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新型广泛应用传感器促进人体活动识别、监测和分析。

Human Activity Recognition, Monitoring, and Analysis Facilitated by Novel and Widespread Applications of Sensors.

机构信息

Cognitive Systems Lab, University of Bremen, 28359 Bremen, Germany.

Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Faculty of Sciences and Technology, NOVA University of Lisbon, 2820-001 Caparica, Portugal.

出版信息

Sensors (Basel). 2024 Aug 14;24(16):5250. doi: 10.3390/s24165250.

DOI:10.3390/s24165250
PMID:39204945
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11359155/
Abstract

The Special Issue has received a total of 30 submissions so far, and from these, this new edition will publish 10 academic articles [...].

摘要

本期特刊共收到投稿 30 篇，从中精选出 10 篇学术文章出版。

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Human Activity Recognition, Monitoring, and Analysis Facilitated by Novel and Widespread Applications of Sensors.新型广泛应用传感器促进人体活动识别、监测和分析。
Sensors (Basel). 2024 Aug 14;24(16):5250. doi: 10.3390/s24165250.
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Achievements and Challenges for Real-Time Sensing of Analytes in Sweat within Wearable Platforms.可穿戴平台中汗液内分析物实时传感的成就与挑战。
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Comparison of Different Sets of Features for Human Activity Recognition by Wearable Sensors.基于可穿戴传感器的人体活动识别不同特征集的比较。
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Nanomaterial-Enabled Wearable Sensors for Healthcare.纳米材料助力医疗保健的可穿戴传感器。
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引用本文的文献

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FED-UNet++: An Improved Nested UNet for Hippocampus Segmentation in Alzheimer's Disease Diagnosis.FED-UNet++：一种用于阿尔茨海默病诊断中海马体分割的改进型嵌套UNet
Sensors (Basel). 2025 Aug 19;25(16):5155. doi: 10.3390/s25165155.

本文引用的文献

1
Sensor-Based Human Activity and Behavior Research: Where Advanced Sensing and Recognition Technologies Meet.基于传感器的人类活动与行为研究：先进传感与识别技术的交汇之处。
Sensors (Basel). 2022 Dec 23;23(1):125. doi: 10.3390/s23010125.
2
A systematic review of smartphone-based human activity recognition methods for health research.一项针对健康研究中基于智能手机的人类活动识别方法的系统综述。
NPJ Digit Med. 2021 Oct 18;4(1):148. doi: 10.1038/s41746-021-00514-4.