Publications (16)
Exploiting WiFi Channel State Information for Residential Healthcare Informatics
Bo Tan, Qingchao Chen, Kevin Chetty +3
Detection and interpretation of human activities have emerged as a challenging healthcare problem in areas such as assisted living and remote monitoring. Besides traditional approa…
A large-scale multimodal dataset of human speech recognition
Yao Ge, Chong Tang, Haobo Li +6
Nowadays, non-privacy small-scale motion detection has attracted an increasing amount of research in remote sensing in speech recognition. These new modalities are employed to enha…
MAEPose: Self-Supervised Spatiotemporal Learning for Human Pose Estimation on mmWave Video
Xijia Wei, Yuan Fang, Kevin Chetty +2
Millimetre-wave (mmWave) radar offers a more privacy-preserving alternative to RGB-based human pose estimation. However, existing methods typically rely on pre-extracted intermedia…
Activity Recognition Based on Micro-Doppler Signature with In-Home Wi-Fi
Qingchao Chen, Bo Tan, Kevin Chetty +1
Device free activity recognition and monitoring has become a promising research area with increasing public interest in pattern of life monitoring and chronic health conditions. Th…
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…
Home Activity Monitoring using Low Resolution Infrared Sensor
Lili Tao, Timothy Volonakis, Bo Tan +3
Action monitoring in a home environment provides important information for health monitoring and may serve as input into a smart home environment. Visual analysis using cameras can…
Diffusion Model-based Contrastive Learning for Human Activity Recognition
Chunjing Xiao, Yanhui Han, Wei Yang +3
WiFi Channel State Information (CSI)-based activity recognition has sparked numerous studies due to its widespread availability and privacy protection. However, when applied in pra…
MDPose: Human Skeletal Motion Reconstruction Using WiFi Micro-Doppler Signatures
Chong Tang, Wenda Li, Shelly Vishwakarma +3
Motion tracking systems based on optical sensors typically often suffer from issues, such as poor lighting conditions, occlusion, limited coverage, and may raise privacy concerns.…
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…
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…
Wi-Fi Based Passive Human Motion Sensing for In-Home Healthcare Applications
Bo Tan, Alison Burrows, Robert Piechocki +3
This paper introduces a Wi-Fi signal based passive wireless sensing system that has the capability to detect diverse indoor human movements, from whole body motions to limb movemen…
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…
Boundary-enhanced time series data imputation with long-term dependency diffusion models
Chunjing Xiao, Xue Jiang, Xianghe Du +4
Data imputation is crucial for addressing challenges posed by missing values in multivariate time series data across various fields, such as healthcare, traffic, and economics, and…
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…
CubeDN: Real-time Drone Detection in 3D Space from Dual mmWave Radar Cubes
Yuan Fang, Fangzhan Shi, Xijia Wei +3
As drone use has become more widespread, there is a critical need to ensure safety and security. A key element of this is robust and accurate drone detection and localization. Whil…
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…