no code implementations • 13 Nov 2018 • Lili Tao, Timothy Volonakis, Bo Tan, Yanguo Jing, Kevin Chetty, Melvyn Smith
We evaluate the proposed method on a state-of-the-art dataset and experimentally confirm that our approach outperforms the baseline method.
no code implementations • 18 Mar 2021 • Yordanka Karayaneva, Sara Sharifzadeh, Wenda Li, Yanguo Jing, Bo Tan
This study proposes two unsupervised feature extraction methods for the purpose of human activity monitoring using Doppler-streams.
no code implementations • 12 Aug 2021 • Wenbo Wang, Bo Tan, Elena Simona Lohan, Mikko Valkama
Under communications quality-of-service (QoS) constraints, the joint performance region of communications sum rate and radar estimation error variance is studied.
no code implementations • 9 Jan 2022 • Bo Tan, Bo Sun
The idea of exploiting the Wi-Fi bursts as the medium for sensing purposes, particularly for the human targets in the indoor environment, was cultivated in both radar and computer science communities and it has became a noticeable research genre with cross-disciplinary impact in security, healthcare, human-machine interaction etc. This article comparatively introduces passive radar based and channel state information (CSI) based approaches.
no code implementations • 28 Feb 2022 • Bo Tan, Elena Simona Lohan, Bo Sun, Wenbo Wang, Taylan Yesilyurt, Christophe Morlaas, Carlos David Morales Pena, Kanaan Abdo, Fathia Ben Slama, Alexandre Simonin, Mohamed Ellejmi
This paper explores an integrated approach for improved sensing and positioning with applications in air traffic management (ATM) and in the Advanced Surface Movement Guidance and Control System (A-SMGCS).
no code implementations • 13 Apr 2022 • Bo Tan, Alison Burrows, Robert Piechocki, Ian Craddock, Karl Woodbridge, Kevin Chetty
The experiment results offer potential for promising healthcare applications using Wi-Fi passive sensing in the home to monitor daily activities, to gather health data and detect emergency situations.
no code implementations • 16 Jun 2022 • Jani Boutellier, Bo Tan, Jari Nurmi
Collaborative inference has received significant research interest in machine learning as a vehicle for distributing computation load, reducing latency, as well as addressing privacy preservation in communications.
no code implementations • 12 Oct 2023 • Mateen Ashraf, Anna Gaydamaka, Bo Tan, Dmitri Moltchanov, Yevgeni Koucheryavy
The inherent support of sixth-generation (6G) systems enabling integrated sensing and communications (ISAC) paradigm greatly enhances the application area of intelligent transportation systems (ITS).
no code implementations • 21 Dec 2023 • Elizaveta Rastorgueva-Foi, Ossi Kaltiokallio, Yu Ge, Matias Turunen, Jukka Talvitie, Bo Tan, Musa Furkan Keskin, Henk Wymeersch, Mikko Valkama
In this article, we address the timely topic of cellular bistatic simultaneous localization and mapping (SLAM) with specific focus on complete processing solutions from raw I/Q samples to user equipment (UE) and landmark location information in millimeter-wave (mmWave) networks.
no code implementations • 15 Mar 2024 • Tingbing Yan, Wenzheng Zeng, Yang Xiao, Xingyu Tong, Bo Tan, Zhiwen Fang, Zhiguo Cao, Joey Tianyi Zhou
Most existing one-shot skeleton-based action recognition focuses on raw low-level information (e. g., joint location), and may suffer from local information loss and low generalization ability.