activity
20162023
most citedA Survey on Fundamental Limits of Integrated Sensing and Communication

20 citations · 66 across the 12 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

eess.SP2021

OPERAnet: A Multimodal Activity Recognition Dataset Acquired from Radio Frequency and Vision-based Sensors

Mohammud J. Bocus, Wenda Li, Shelly Vishwakarma +8

This paper presents a comprehensive dataset intended to evaluate passive Human Activity Recognition (HAR) and localization techniques with measurements obtained from synchronized R…

eess.SP2021

Neural Style Transfer Enhanced Training Support For Human Activity Recognition

Shelly Vishwakarma, Wenda Li, Chong Tang +3

This work presents an application of Integrated sensing and communication (ISAC) system for monitoring human activities directly related to healthcare. Real-time monitoring of huma…

eess.SP2021

FMNet: Latent Feature-wise Mapping Network for Cleaning up Noisy Micro-Doppler Spectrogram

Chong Tang, Wenda Li, Shelly Vishwakarma +3

Micro-Doppler signatures contain considerable information about target dynamics. However, the radar sensing systems are easily affected by noisy surroundings, resulting in uninterp…

cs.IT2021★ 20 cited

A Survey on Fundamental Limits of Integrated Sensing and Communication

An Liu, Zhe Huang, Min Li +10

The integrated sensing and communication (ISAC), in which the sensing and communication share the same frequency band and hardware, has emerged as a key technology in future wirele…

eess.SP2021★ 11 cited

SimHumalator: An Open Source WiFi Based Passive Radar Human Simulator For Activity Recognition

Shelly Vishwakarma, Wenda Li, Chong Tang +3

This work presents a simulation framework to generate human micro-Dopplers in WiFi based passive radar scenarios, wherein we simulate IEEE 802.11g complaint WiFi transmissions usin…

eess.SP2021★ 9 cited

Learning from Natural Noise to Denoise Micro-Doppler Spectrogram

Chong Tang, Wenda Li, Shelly Vishwakarma +3

Micro-Doppler analysis has become increasingly popular in recent years owning to the ability of the technique to enhance classification strategies. Applications include recognising…