Search Results for author: Kevin Chetty

Found 9 papers, 1 papers with code

Wi-Fi Based Passive Human Motion Sensing for In-Home Healthcare Applications

no code implementations13 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.

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

Home Activity Monitoring using Low Resolution Infrared Sensor

no code implementations13 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.

Home Activity Monitoring Specificity

Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation

no code implementations CVPR 2018 Qingchao Chen, Yang Liu, Zhaowen Wang, Ian Wassell, Kevin Chetty

In this paper, we propose the Re-weighted Adversarial Adaptation Network (RAAN) to reduce the feature distribution divergence and adapt the classifier when domain discrepancies are disparate.

Unsupervised Domain Adaptation

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