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Zhongwei Zheng

dblp:161/9639 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Wireless sensing and localization · 77% Internet of things and sensor networks · 23%
Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing
posture detection
0.212015
Radio signature based posture recognition using WBSN · IPSN 2015
Wireless sensing and localization
RF-based localization
0.212015
Radio signature based posture recognition using WBSN · IPSN 2015
Internet of things and sensor networks
wireless body area network
0.112015
Radio signature based posture recognition using WBSN · IPSN 2015

Methods — techniques the papers use, named apart from their topics

sensor fusion · 0.4RSSI · 0.4
YearPublicationVenuePosition
2021 New global optimization algorithms based on multi-loop distributed control systems with serial structure and ring structure for solving global optimization problems
Baiquan Lu, Zhongwei Zheng, Tingzhang Liu
Eng. Appl. Artif. Intell.2
2015 Radio signature based posture recognition using WBSN
abstract
A body network of Inertial Measurement Units (IMUs) is a well known solution for posture recognition based on accelerometer and magnetometer data fusion. However sensors and especially the magnetometer can be disturbed by the environment. Considering a Wireless Body Sensor Network (WBSN), we propose to use available radio received power measurements as an alternative to the magnetometer. We show with simulation and real data, that the radio signal used for WBSN communications can also provide useful location information despite highly noisy Received Signal Strength Indications (RSSI). We propose a solution for the static case that leads to a very simple yet Efficient algorithm.
Alexis Aulery, Christian Roland, Jean-Philippe Diguet, Zhongwei Zheng, Olivier Sentieys, Pascal Scalart
IPSN4