Combining Context Connectivity and Behavior Association to Develop an Indoor/Outdoor Context Detection Model With Smartphone Multisensor Fusion-Reference-Cited by-同舟云学术

Combining Context Connectivity and Behavior Association to Develop an Indoor/Outdoor Context Detection Model With Smartphone Multisensor Fusion

Published:2024-01-15 Issue:2 Volume:11 Page:2883-2898
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhu Feng¹^ORCID,Chen Weijie²^ORCID,Guo Fei¹^ORCID,Zhang Xiaohong³^ORCID

Affiliation:

1. School of Geodesy and Geomatics and the Hubei Luojia Laboratory, Wuhan University, Wuhan, China

2. School of Geodesy and Geomatics, Wuhan University, Wuhan, China

3. School of Geodesy and Geomatics, Hubei Luojia Laboratory, and the Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Science and Technology Major Project of Hubei Province

Special Fund of Hubei Luojia Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10384482/10184274.pdf?arnumber=10184274

Reference37 articles.

1. Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey

2. Charting past, present, and future research in ubiquitous computing

3. Context detection, categorization and connectivity for advanced adaptive integrated navigation;Groves

4. A Review of Environmental Context Detection for Navigation Based on Multiple Sensors

5. WiFiBoost: A terminal-based method for detection of indoor/outdoor places;López-de-Teruel

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1. DeepIOD: Towards A Context-Aware Indoor–Outdoor Detection Framework Using Smartphone Sensors;Sensors;2024-08-07

2. TabCLR: Contrastive Learning Representation of Tabular Data Classification for Indoor-Outdoor Detection;IEEE Access;2024