11 citations · 23 across the 7 of their papers we have counts for
7 papers
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…
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.…
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…
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…
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…
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…
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…