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Integrating sensing and communication (ISAC) has emerged as a cornerstone technology for predictive beamforming in 6G-enabled vehicle-to-everything (V2X) networks. However, existing ISAC paradigms rely solely on radio frequency (RF) signal,…

信号处理 · 电气工程与系统科学 2025-07-01 Chen Shang , Dinh Thai Hoang , Jiadong Yu

This paper presents a control interface to translate the residual body motions of individuals living with severe disabilities, into control commands for body-machine interaction. A custom, wireless, wearable multi-sensor network is used to…

The purpose of gesture recognition is to recognize meaningful movements of human bodies, and gesture recognition is an important issue in computer vision. In this paper, we present a multimodal gesture recognition method based on 3D densely…

计算机视觉与模式识别 · 计算机科学 2020-01-17 Yi Zhang , Chong Wang , Ye Zheng , Jieyu Zhao , Yuqi Li , Xijiong Xie

The characterization of dynamical processes in living systems provides important clues for their mechanistic interpretation and link to biological functions. Thanks to recent advances in microscopy techniques, it is now possible to…

数据分析、统计与概率 · 物理学 2023-11-29 Jesús Pineda , Benjamin Midtvedt , Harshith Bachimanchi , Sergio Noé , Daniel Midtvedt , Giovanni Volpe , Carlo Manzo

This paper explores the potential of the intelligent reflecting surface (IRS) in realizing multi-user concurrent communication and localization, using the same time-frequency resources. Specifically, we propose an IRS-enabled multi-user…

信息论 · 计算机科学 2022-11-23 Zhouyuan Yu , Xiaoling Hu , Chenxi Liu , Mugen Peng , Caijun Zhong

Integrated sensing and communications (ISAC) is a potential technology of 6G, aiming to enable end-to-end information processing ability and native perception capability for future communication systems. As an important part of the ISAC…

信号处理 · 电气工程与系统科学 2024-03-04 Zhengyu Zhang , Ruisi He , Mi Yang , Xuejian Zhang , Ziyi Qi , Hang Mi , Guiqi Sun , Jingya Yang , Bo Ai

This paper investigates a multi-user indoor integrated sensing and communication (ISAC) system operating in the terahertz (THz) band, designed for adaptive communication based on gesture recognition. Leveraging gesture tracking through an…

信息论 · 计算机科学 2026-05-29 Zhonghao Liu , Yinchao Yang , Yahao Ding , Yixuan Wang , Mohammad Shikh-Bahaei

Nowadays, hand gesture recognition has become an alternative for human-machine interaction. It has covered a large area of applications like 3D game technology, sign language interpreting, VR (virtual reality) environment, and robotics. But…

计算机视觉与模式识别 · 计算机科学 2022-02-28 Abir Sen , Tapas Kumar Mishra , Ratnakar Dash

Integrated Sensing and Communication (ISAC) has been identified as a key 6G application by ITU and 3GPP. A realistic, standard-compatible channel model is essential for ISAC system design. To characterize the impact of Sensing Targets…

信号处理 · 电气工程与系统科学 2025-11-06 Yameng Liu , Jianhua Zhang , Yuxiang Zhang , Zhiqiang Yuan , Chuangxin Jiang , Junchen Liu , Wei Hong , Yingyang Li , Yan Li , Guangyi Liu

Integrated sensing and communication (ISAC) can reduce beam-training overhead in mmWave vehicle-to-infrastructure (V2I) links by enabling in-band sensing-based beam prediction, while exteroceptive sensors can further enhance the prediction…

信号处理 · 电气工程与系统科学 2026-01-06 Abidemi Orimogunje , Hyunwoo Park , Igbafe Orikumhi , Sunwoo Kim , Dejan Vukobratovic

Gesture is an important mean of non-verbal communication, with visual modality allows human to convey information during interaction, facilitating peoples and human-machine interactions. However, it is considered difficult to automatically…

计算机视觉与模式识别 · 计算机科学 2024-06-19 Fabien Allemand , Alessio Mazzela , Jun Villette , Decky Aspandi , Titus Zaharia

Integrated sensing and communication (ISAC) aims to unify radar and communication systems through a combination of joint hardware, joint waveforms, joint signal design, and joint signal processing. At high carrier frequencies, where ISAC is…

Coordinated human movement depends on the integration of multisensory inputs, sensorimotor transformation, and motor execution, as well as sensory feedback resulting from body-environment interaction. Building dynamic models of the…

神经元与认知 · 定量生物学 2025-06-03 Chenhui Zuo , Guohao Lin , Chen Zhang , Shanning Zhuang , Yanan Sui

The D-band, spanning 110 GHz to 170 GHz, has emerged as a relevant frequency range for future mobile communications and radar sensing applications, particularly in the context of 6G technologies. This demonstration presents a…

信号处理 · 电气工程与系统科学 2024-07-09 Sven Wittig , Rodrigo Hernangomez , Karen Vardanyan , Ramez Askar , Amr Haj-Omar , Michael Peter , Slawomir Stanczak

Integrated sensing and communication (ISAC) has emerged as a key development direction in the sixth-generation (6G) era, which provides essential support for the collaborative sensing and communication of future intelligent networks.…

人工智能 · 计算机科学 2025-12-18 Wenwen Xie , Geng Sun , Ruichen Zhang , Xuejie Liu , Yinqiu Liu , Jiacheng Wang , Dusit Niyato , Ping Zhang

Integrated sensing and communication (ISAC) is one of the key usage scenarios for future sixth-generation (6G) mobile communication networks, where communication and sensing (C&S) services are simultaneously provided through shared wireless…

In modern on-driving computing environments, many sensors are used for context-aware applications. This paper utilizes two deep learning models, U-Net and EfficientNet, which consist of a convolutional neural network (CNN), to detect hand…

信号处理 · 电气工程与系统科学 2022-11-08 Hankyul Baek , Yoo Jeong , Ha , Minjae Yoo , Soyi Jung , Joongheon Kim

The concept of 6G distributed integrated sensing and communications (DISAC) builds upon the functionality of integrated sensing and communications (ISAC) by integrating distributed architectures, significantly enhancing both sensing and…

It is anticipated that integrated sensing and communications (ISAC) would be one of the key enablers of next-generation wireless networks (such as beyond 5G (B5G) and 6G) for supporting a variety of emerging applications. In this paper, we…

This paper presents a new framework for human body part segmentation based on Deep Convolutional Neural Networks trained using only synthetic data. The proposed approach achieves cutting-edge results without the need of training the models…

计算机视觉与模式识别 · 计算机科学 2022-06-08 Alessandro Saviolo , Matteo Bonotto , Daniele Evangelista , Marco Imperoli , Jacopo Lazzaro , Emanuele Menegatti , Alberto Pretto