Fei Luo

Orcid: 0000-0001-9760-1520

Affiliations:
  • Shenzhen University, School of Computer Science, China
  • Queen Mary University of London, School of Electronic Engineering and Computer Science, UK


According to our database1, Fei Luo authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
EdgeActNet: Edge Intelligence-Enabled Human Activity Recognition Using Radar Point Cloud.
IEEE Trans. Mob. Comput., May, 2024

An Integrated Sensing and Communication System for Fall Detection and Recognition Using Ultrawideband Signals.
IEEE Internet Things J., January, 2024

2023
Binarized Neural Network for Edge Intelligence of Sensor-Based Human Activity Recognition.
IEEE Trans. Mob. Comput., March, 2023

Activity-Based Person Identification Using Multimodal Wearable Sensor Data.
IEEE Internet Things J., January, 2023

Spectro-Temporal Modeling for Human Activity Recognition Using a Radar Sensor Network.
IEEE Trans. Geosci. Remote. Sens., 2023

A Survey on X.509 Public-Key Infrastructure, Certificate Revocation, and Their Modern Implementation on Blockchain and Ledger Technologies.
IEEE Commun. Surv. Tutorials, 2023

2022
A Privacy-Preserving and Transparent Identity Management Scheme for Vehicular Social Networking.
IEEE Trans. Veh. Technol., 2022

A Trajectory-Based Gesture Recognition in Smart Homes Based on the Ultrawideband Communication System.
IEEE Internet Things J., 2022

Survey on Issues and Recent Advances in Vehicular Public-Key Infrastructure (VPKI).
IEEE Commun. Surv. Tutorials, 2022

Trajectory-based Fall Detection and Recognition Using Ultra-Wideband Signals.
Proceedings of the IEEE Global Communications Conference, 2022

2021
The Ultra-Wideband Communication System: A Human Gesture Recognition Approach.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020
Temporal Convolutional Networks for Multiperson Activity Recognition Using a 2-D LIDAR.
IEEE Internet Things J., 2020

2019
Kitchen Activity Detection for Healthcare using a Low-Power Radar-Enabled Sensor Network.
Proceedings of the 2019 IEEE International Conference on Communications, 2019


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