activity
20192026
most citedSimHumalator: An Open Source WiFi Based Passive Radar Human Simulator For Activity Recognition

11 citations · 30 across the 12 of their papers we have counts for

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9 papers · 1 filter

eess.SP2026

Advancements in Non-Invasive Neuroimaging: Exploring the Potential of Radar Technology for Brain Imaging and Tumour Detection

Keniel Peart, Indu Bodala, Shelly Vishwakarma

This study investigates radar technology for non-invasive brain imaging and tumour detection, offering an alternative to MRI and CT scans. Using Ansys HFSS to simulate electromagne…

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…

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…

eess.SP2021★ 8 cited

Sparsity Based Autoencoders for Denoising Cluttered Radar Signatures

Shobha Sundar Ram, Shelly Vishwakarma, Akanksha Sneh +1

Narrowband and broadband indoor radar images significantly deteriorate in the presence of target dependent and independent static and dynamic clutter arising from walls. A stacked…

eess.SP2019★ 1 cited

Mitigation of Through-Wall Distortions of Frontal Radar Images using Denoising Autoencoders

Shelly Vishwakarma, Shobha Sundar Ram

Radar images of humans and other concealed objects are considerably distorted by attenuation, refraction and multipath clutter in indoor through-wall environments. While several me…

eess.SP2019

Doppler-Resilient 802.11ad-Based Ultra-Short Range Automotive Joint Radar-Communications System

Gaurav Duggal, Shelly Vishwakarma, Kumar Vijay Mishra +1

We present an ultra-short range IEEE 802.11ad-based automotive joint radar-communications (JRC) framework, wherein we improve the radar's Doppler resilience by incorporating Prouhe…