Pedestrian Navigation Activity Recognition Based on Segmentation Transformer-Reference-Cited by-同舟云学术

Pedestrian Navigation Activity Recognition Based on Segmentation Transformer

Published:2024-08-01 Issue:15 Volume:11 Page:26020-26032
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wang Qu¹^ORCID,Tao Zhi²^ORCID,Ning Jiahui¹^ORCID,Jiang Zhuqing²^ORCID,Guo Liangliang³,Luo Haiyong⁴,Wang Haiying²^ORCID,Men Aidong²^ORCID,Cheng Xiaofei⁵,Zhang Zhang⁶^ORCID

Affiliation:

1. School of Automation Science and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

2. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China

3. Department of Energy and Control Engineering, Shanxi Information Industry Technology Research Institute Co. Ltd, Taiyuan, China

4. Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology Chinese Academy of Sciences, Beijing, China

5. Keppel Corporation Ltd., Keppel Bay Tower, Singapore

6. IoT Research Center, China Electronics Standardization Institute, Beijing, China

Funder

Joint Research Fund for Beijing Natural Science Foundation and Haidian Original Innovation

Basic and Applied Basic Research Foundation of Guangdong Province

Central Guidance on Local Science and Technology Development Fund of ShanXi Province

National Natural Science Foundation of China

University of Science and Technology Beijing Young Faculty International Exchange and Development Program

Beijing Science and Technology Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10607832/10516682.pdf?arnumber=10516682

Reference55 articles.

1. Human Action Recognition From Various Data Modalities: A Review

2. A Systematic Review of Human Activity Recognition Based on Mobile Devices: Overview, Progress and Trends

3. Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things

4. IoT Wearable Sensor and Deep Learning: An Integrated Approach for Personalized Human Activity Recognition in a Smart Home Environment

5. Pedestrian Dead Reckoning Based on Walking Pattern Recognition and Online Magnetic Fingerprint Trajectory Calibration