User profiles for Shihong Duan

Shihong Duan

University of Science and Technology Beijing
Verified email at ustb.edu.cn
Cited by 974

InnoHAR: A deep neural network for complex human activity recognition

C Xu, D Chai, J He, X Zhang, S Duan - Ieee Access, 2019 - ieeexplore.ieee.org
Human activity recognition (HAR) based on sensor networks is an important research direction
in the fields of pervasive computing and body area network. Existing researches often …

WiDriver: Driver activity recognition system based on WiFi CSI

S Duan, T Yu, J He - International Journal of Wireless Information …, 2018 - Springer
Driver is the most active factor in people–vehicle–road system, so the driver activity monitoring
has become increasingly important to support the driver assistant system application. The …

[HTML][HTML] Identification and molecular docking of novel α-glucosidase inhibitory peptides from hydrolysates of Binglangjiang buffalo casein

Q Zhao, G Wei, K Li, S Duan, R Ye, A Huang - Lwt, 2022 - Elsevier
Binglangjiang buffalo is a new type of river buffalo discovered in Tengchong of Yunnan
Province, China, with rich protein in milk. In this study, we isolated novel α-glucosidase inhibitory …

Spatial-temporal constrained particle filter for cooperative target tracking

C Xu, X Wang, S Duan, J Wan - Journal of network and computer …, 2021 - Elsevier
Localization is one of the most important topics of cyber physical system. In the last decades,
much attention has been paid to the precise localization and performance evaluation in …

Cooperative localization for multi-agents based on reinforcement learning compensated filter

R Wang, C Xu, J Sun, S Duan… - IEEE Journal on Selected …, 2024 - ieeexplore.ieee.org
In modern navigation and positioning systems, accurate location information is crucial for
ensuring system performance and user experience. Particularly, in scenarios involving the use …

Blockchain empowered secure collaboration for swarm robots: Storage and computation

R Wang, S Tang, H Zhang, S Duan… - IEEE Internet of …, 2025 - ieeexplore.ieee.org
In recent years, swarm robot systems have garnered increasing attention, both in the industry
and academia. These collaborative systems demand effective solutions for data storage, …

Robust and efficient classification for underground metal target using dimensionality reduction and machine learning

Y Wan, T Li, P Wang, S Duan, C Zhang, N Li - IEEE Access, 2021 - ieeexplore.ieee.org
Underground metal target detection technology has been widely applied in industrial production,
resource exploration, and engineering construction, etc. However, due to the influence …

Ultra-wideband radio channel characteristics for near-ground swarm robots communication

S Duan, R Su, C Xu, Y Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Ultra-Wideband (UWB) technology has great potential for the cooperation and navigation
among near ground mobile robots in GPS-denied environments. In this paper, an efficient two-…

Comparison of machine learning algorithms for concentration detection and prediction of formaldehyde based on electronic nose

L Xu, J He, S Duan, X Wu, Q Wang - Sensor Review, 2016 - emerald.com
Purpose Sensor arrays and pattern recognition-based electronic nose (E-nose) is a typical
detection and recognition instrument for indoor air quality (IAQ). The E-nose is able to monitor …

Federated learning-enabled cooperative localization in multi-agent system

F Ye, R Wang, S Tang, S Duan, C Xu - International journal of wireless …, 2024 - Springer
Cooperative localization plays a significant role in various applications, such as emergency
rescue and navigation path planning. The advent of swarm intelligence has opened doors to …