Search Results for author: Shelly Vishwakarma

Found 8 papers, 1 papers with code

MDPose: Human Skeletal Motion Reconstruction Using WiFi Micro-Doppler Signatures

no code implementations11 Jan 2022 Chong Tang, Wenda Li, Shelly Vishwakarma, Fangzhan Shi, Simon Julier, Kevin Chetty

It provides an effective solution to track human activities by reconstructing a skeleton model with 17 key points, which can assist with the interpretation of conventional RF sensing outputs in a more understandable way.

Denoising RF-based Pose Estimation

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

1 code implementation8 Oct 2021 Mohammud J. Bocus, Wenda Li, Shelly Vishwakarma, Roget Kou, Chong Tang, Karl Woodbridge, Ian Craddock, Ryan McConville, Raul Santos-Rodriguez, Kevin Chetty, Robert Piechocki

This dataset can be exploited to advance WiFi and vision-based HAR, for example, using pattern recognition, skeletal representation, deep learning algorithms or other novel approaches to accurately recognize human activities.

Human Activity Recognition Multimodal Activity Recognition

Neural Style Transfer Enhanced Training Support For Human Activity Recognition

no code implementations27 Jul 2021 Shelly Vishwakarma, Wenda Li, Chong Tang, Karl Woodbridge, Raviraj Adve, Kevin Chetty

Further, we benchmark the data augmentation performance of the style transferred signatures with three other synthetic datasets -- clean simulated spectrograms (no environmental effects), simulated data with added AWGN noise, and simulated data with GAN generated noise.

Data Augmentation Human Activity Recognition +1

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

no code implementations9 Jul 2021 Chong Tang, Wenda Li, Shelly Vishwakarma, Fangzhan Shi, Simon Julier, Kevin Chetty

On the other hand, we also propose a novel idea which trains a classifier with only simulated data and predicts new measured samples after cleaning them up with the FMNet.

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

no code implementations2 Mar 2021 Shelly Vishwakarma, Wenda Li, Chong Tang, Karl Woodbridge, Raviraj Adve, Kevin Chetty

We integrate WiFi transmission signals with the human animation data to generate the micro-Doppler features that incorporate the diversity of human motion characteristics, and the sensor parameters.

Activity Recognition Classification +1

Learning from Natural Noise to Denoise Micro-Doppler Spectrogram

no code implementations13 Feb 2021 Chong Tang, Wenda Li, Shelly Vishwakarma, Karl Woodbridge, Simon Julier, Kevin Chetty

However, noisy time-frequency spectrograms can significantly affect the performance of the classifier and must be tackled using appropriate denoising algorithms.

Denoising

Sparsity Based Autoencoders for Denoising Cluttered Radar Signatures

no code implementations29 Jan 2021 Shobha Sundar Ram, Shelly Vishwakarma, Akanksha Sneh, Kainat Yasmeen

A stacked and sparse denoising autoencoder (StackedSDAE) is proposed for mitigating wall clutter in indoor radar images.

Denoising

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

no code implementations4 Feb 2019 Gaurav Duggal, Shelly Vishwakarma, Kumar Vijay Mishra, Shobha Sundar Ram

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 Prouhet-Thue-Morse sequences in the preamble.

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