co-located with The 22nd International Conference on Pervasive Computing and Communications (PerCom 2024)
Biarritz, France, March 11-15, 2024. WiSense Workshop will be on March 15th!!
co-located with The 22nd International Conference on Pervasive Computing and Communications (PerCom 2024)
Biarritz, France, March 11-15, 2024. WiSense Workshop will be on March 15th!!
Wireless sensing has recently attracted a lot of attention thanks to its non-intrusive and sensor-free nature. Contrary to the traditional sensor-based and wearable sensing, wireless sensing does not need any sensors but leverages the signal distortions and machine learning algorithms for sensing. Moreover, wireless signals can propagate through walls which allows sensing to be performed even in non-line-of sight (NLOS) scenarios which increases the sensing coverage over camera-based systems. Different types of wireless signals have been employed for sensing including WiFi, RFID, mmWave, UWB, and acoustic signals. As wireless signals bounce off of physical objects within the environment such as static objects like walls or furniture as well as any humans in the environment, their characteristics (e.g., amplitude, phase) change uniquely. This then provides an opportunity to sense the environment and obtain contextual information (e.g., recognizing the motion) through a fine-grained analysis of signal variations. Wireless sensing has been considered in various applications including but not limited to localization, human activity and gesture recognition, gait estimation, fall detection, respiration monitoring and crowd counting.
Deploying the wireless sensing systems on edge devices is also important, to reduce their costs and make them scalable. However, this comes with several challenges due to the constrained resources (e.g., memory, computation power, energy) of edge nodes. Accordingly, in this workshop we also look for solutions that develop novel, lightweight and cost-efficient techniques that can run at the network edge, providing means to train and run machine learning models in an energy efficient manner, both according to centralized and distributed training paradigms. We are also interested in the characterization of energetic aspects on currently available edge computing technology, including but not limited to empirical energy models.
The objective of this workshop is to bring together the research community utilizing different types of wireless signals for sensing purposes, and the community dealing with computing for embedded and energy efficient systems, and have them benefit from each other's findings. The workshop will also serve as a discussion platform about the standardization and industrial implications of wireless sensing and edge computing, by also targeting potential privacy issues. Toward these goals, the workshop will span topics including, but not limited to:
Submissions will be made using EDAS.
Manuscripts submitted for consideration should not have been already published elsewhere and should not be under review or submitted for review elsewhere during the consideration period. Manuscripts must be written in English, are limited to 6 pages, single spacing, double column, and must strictly adhere to the IEEE template format available here. All accepted papers will be included and indexed in the IEEE Digital Library (IEEE Xplore), showing their affiliation with IEEE Percom 2024. At least one author of each accepted paper is required to attend and present his/her work at the workshop.
Percom 2024 is also inviting authors of all the accepted workshop papers to get their code and data validated in an artifact evaluation process. Authors who choose to participate can provide supplementary materials as artifacts (tools, applications, data sets, etc.) that will be reviewed solely for functional completeness (e.g., does provided code compile and run as expected?; do experimental results match expected results?, etc.).
Participating authors will be allotted two additional pages in a separate Artifacts section of the proceedings to describe the nature and contents of the artifact package. Submission of artifacts packages will have no bearing on paper acceptance or publication. However, papers that have verified artifacts or data will be associated with badges in the conference program and proceedings. Two badges will be available: Artifact-Certified and Result-Certified. Upon submission, participating authors should indicate which badge(s) the committee should consider for the submission.
Artifacts of interest include (but are not limited to) the following:
This list is not exhaustive; authors with questions about the suitability of an artifact should reach out to the Percom Artifact chair: Christian Krupitzer (christian.krupitzer@uni-hohenheim.de).
| Paper submission deadline: | |
|---|---|
| Author Notification: | January 8, 2024 |
| Camera-ready submission: | February 2, 2024 |
| Workshop date: | Friday, March 15, 2024 |
Abstract: WiFi/4G/5G based wireless sensing has attracted a lot of attention from both academia and industry in the last decade. However, most of the work focused on developing effective techniques for a certain application, very few work attempted to explore the fundamental sensing theory and answer fundamental questions such as the sensing limit, sensing boundary and sensing quality of WiFi/4G/5G signals. In this talk, I will first introduce the Fresnel zone model as a generic theoretic basis for device-free and contactless human sensing with WiFi/4G/5G signals, revealing the relationship among the received CSI signal, the distance between the two transceivers, the location and heading of the sensing target with respect to the transceivers, and the environment. Then we propose to define the Sensing Signal to Noise Ratio (SSNR) as a new metric to inform the sensing limit, sensing boundary and sensing signal quality of WiFi/4G/5G-based human sensing systems. In order to further increase SSNR and push the wireless sensing limit, we explore the Rydberg theory about how the Rydberg atom interacts with RF signals and develop the world first Rydberg quantum sensing system which senses tiny variations of RF signals caused by human activities, showing significant performance increase compared to WiFi or Radar based sensing systems.
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About the Speaker: Daqing Zhang is a Professor with Telecom SudParis, IP Paris, France. His research interests include ubiquitous computing, mobile computing, big data analytics and AIoT. He has published more than 400 technical papers in leading conferences and journals, with a citation of over 28200 and H-index of 86, where his work on OWL-based context model and Fresnel Zone-based wireless sensing theory are widely accepted by pervasive computing, mobile computing and service computing communities. He was the winner of the Ten Years CoMoRea Impact Paper Award at IEEE PerCom 2013 and Ten Years Most Influential Paper Award at IEEE UIC 2019 and FCS 2023, the Best Paper Award Runner-up at ACM MobiCom 2022, the Distinguished Paper Award of IMWUT (UbiComp 2021), etc.. He served as the general or program chair for more than a dozen of international conferences, and in the advisory board of Proceeding of ACM IMWUT. Daqing Zhang is a Fellow of IEEE and Member of Academy of Europe. |
