A5054108953- Indoor and Outdoor Localization Technologies
- Millimeter-Wave Propagation and Modeling
- Wireless Networks and Protocols
- Speech and Audio Processing
- Fecal contamination and water quality
- Microplastics and Plastic Pollution
- Underwater Vehicles and Communication Systems
- Groundwater flow and contamination studies
- Recycling and Waste Management Techniques
- Bluetooth and Wireless Communication Technologies
- Advanced Optical Network Technologies
- Advanced Photonic Communication Systems
- Optical Network Technologies
- Innovations in Medical Education
- Non-Invasive Vital Sign Monitoring
- Caching and Content Delivery
- Energy Efficient Wireless Sensor Networks
- Context-Aware Activity Recognition Systems
- Open Education and E-Learning
- Opportunistic and Delay-Tolerant Networks
- Advanced Battery Technologies Research
- Prenatal Screening and Diagnostics
- Cooperative Communication and Network Coding
- Gestational Trophoblastic Disease Studies
- Semantic Web and Ontologies
China Institute of Water Resources and Hydropower Research
2024
Nanjing Medical University
2024
Peking University
2015-2024
Zhejiang University
2024
State Grid Corporation of China (China)
2024
Shanghai Electric (China)
2024
Institute of Software
2018-2023
Jiangsu Institute of Metrology
2019-2023
North China University of Technology
2016-2022
Peking University People's Hospital
2022
Recent research has demonstrated the feasibility of detecting human respiration rate non-intrusively leveraging commodity WiFi devices. However, is it always possible to sense no matter where subject stays and faces? What affects sensing what's theory behind? In this paper, we first introduce Fresnel model in free space, then verify for radio propagation indoor environment. Leveraging properties derived, investigate impact on receiving RF signals develop relate one's breathing depth,...
By allowing centimeter-scale human activity sensing with Wi-Fi signals, the Fresnel zone model could revolutionize wireless and Internet of Things applications. The web extra at www.youtube.com/watch?v=R_vR6O8706g demonstrates how can be leveraged for device-free activities such as respiration walking.
Recently, device-free WiFi CSI-based human behavior recognition has attracted a great amount of interest as it promises to provide ubiquitous sensing solution by using the pervasive infrastructure. While most existing solutions are pattern-based, applying machine learning techniques, there is recent trend developing accurate models reveal underlining radio propagation properties and exploit for fine-grained recognition. In this article, we first classify work into two categories:...
Despite its importance, walking direction is still a key context lacking cost-effective and continuous solution that people can access in indoor environments. Recently, device-free sensing has attracted great attention because these techniques do not require the user to carry any device hence could enable many applications smart homes offices. In this paper, we present WiDir, first system leverages WiFi wireless signals estimate human's direction, manner. Human motion changes multipath...
Human respiration detection based on Wi-Fi signals does not require users to carry any device, hence it has drawn a lot of attention due better user acceptance and great potential for real-world deployment. However, recent studies show that sensing performance varies in different locations the nature radio wave propagation indoor environments, i.e., may experience poor at certain which we call "blind spots". In this paper, aim address blind spot problem ensure full coverage detection....
Plastic particles are widely present in the natural environment and highly likely to interact with bacteria (the ubiquitous microbes environment), which might affect transport deposition of porous media. In this study, significance plastic from nanoscale micrometer-scale (0.02–2 μm) on behaviors (Escherichia coli) quartz sand was examined under environmentally relevant conditions both NaCl CaCl2 solutions at pH 6. The results showed that presence different-sized did not bacterial low ionic...
In recent years, we have seen efforts made to simultaneously monitor the respiration of multiple persons based on channel state information (CSI) retrieved from commodity WiFi devices. Existing approaches mainly rely spectral analysis CSI amplitude obtain rate information, leading limitations: (1) works when exhibit dramatically different rates, however, it fails resolve similar rates; (2) can only average over a period time, and is unable capture detailed change time; (3) they fail sense...
Past decades have witnessed the extension of Wi-Fi signals as a useful tool sensing human activities. One common assumption behind it is that there one-to-one mapping between activities and received signal patterns. However, this does not hold when user conducts in different locations orientations. Actually, patterns same activity would become inconsistent relative location orientation with respect to transceivers change, leading unstable performance. This problem known position-dependent...
This paper explores the possibility of tracking finger drawings in air leveraging WiFi signals from commodity devices. Prior solutions typically require user to hold a wireless transmitter, or need proprietary hardware. They can only recognize small set pre-defined hand gestures. introduces FingerDraw, first sub-wavelength level motion system using devices, without attaching any sensor finger. FingerDraw reconstruct drawing trajectory such as digits, alphabets, and symbols with setting one...
Drones are driving numerous and evolving use cases, creating transformative socio-economic benefits. Drone operation needs wireless connectivity for communication between drones ground control systems, among drones, air traffic management systems. Mobile networks well positioned to identify, track, the growing fleet of drones. The wide-area, quality, secure provided by mobile can enhance efficiency effectiveness drone operations beyond visual line-of-sight range. In this article, we...
The past few years have witnessed the great potential of exploiting channel state information retrieved from commodity WiFi devices for respiration monitoring. However, existing approaches only work when target is close to transceivers and performance degrades significantly far away. On other hand, most home environments one access point it may not be located in same room as target. This sensing range constraint greatly limits application proposed real life. paper presents FarSense--the...
WiFi-based device-free motion tracking systems track persons without requiring them to carry any device. Existing work has explored signal parameters such as time-of-flight (ToF), angle-of-arrival (AoA), and Doppler-frequency-shift (DFS) extracted from WiFi channel state information (CSI) locate people in a room. However, they are not robust due unreliable estimation of parameters. ToF AoA estimations accurate for current standards-compliant devices that typically have only two antennas...
WiFi-based gesture recognition emerges in recent years and attracts extensive attention from researchers. Recognizing gestures via WiFi signal is feasible because a human introduces time series of variations to the received raw signal. The major challenge for building ubiquitous system that mapping between each not unique, exact same but performed at different locations or with orientations towards transceivers generates entirely signals (variations). To remove location dependency, prior...
Next-generation mobile communication network (i.e., 6G) has been envisioned to go beyond classical functionality and provide integrated sensing (ISAC) capability enable more emerging ap-plications, such as smart cities, connected vehicles, AIoT health care/elder care. Among all the ISAC proposals, most practical promising approach is empower existing wireless (e.g., WiFi, 4G/5G) with augmented ability sense surrounding human environment, evolve networks into intelligent 6G). In this paper,...
The past few years have witnessed the great potential of exploiting channel state information (CSI) retrieved from commodity WiFi devices for contactless human sensing. However, a severe problem hindering practical sensing applications is that obtained CSI data contains large amount noise, leading to short range and low accuracy. Aiming at solving critical problem, in this article, we propose employ new base signal called ratio boost performance.
Despite extensive research effort on contactless WiFi sensing over the past few years, there are still significant barriers hindering its wide application. One key issue is limited range due to intrinsic nature of employing weak target-reflected signal for and therefore much smaller than communication range. In this work, we address challenging issue, moving one step closer real-world adoption. The idea effectively utilize multiple antennas widely available commodity access points...
In this paper, we attempt to give spatial semantics web pages by assigning them place names. The entire assignment task is divided into three sub-problems, namely name extraction, disambiguation and assignment. We propose our approaches address these sub-problems. particular, have modified GATE, a well-known named entity extraction software, perform using US Census gazetteer. A rule-based method capable of names page segments also been proposed. evaluated proposed methods on collection...