mri: Multi-modal 3d human pose estimation dataset using mmwave, rgb-d, and inertial sensors

S An, Y Li, U Ogras - Advances in Neural Information …, 2022 - proceedings.neurips.cc
The ability to estimate 3D human body pose and movement, also known as human pose
estimation (HPE), enables many applications for home-based health monitoring, such as …

Multi-Modal Fusion Sensing: A Comprehensive Review of Millimeter-Wave Radar and Its Integration With Other Modalities

S Wang, L Mei, R Liu, W Jiang, Z Yin… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and
adaptability to various environmental conditions, holds immense potential across multi …

A systematic survey of research trends in technology usage for Parkinson's disease

R Deb, S An, G Bhat, H Shill, UY Ogras - Sensors, 2022 - mdpi.com
Parkinson's disease (PD) is a neurological disorder with complicated and disabling motor
and non-motor symptoms. The complexity of PD pathology is amplified due to its …

Mm-fi: Multi-modal non-intrusive 4d human dataset for versatile wireless sensing

J Yang, H Huang, Y Zhou, X Chen… - Advances in …, 2024 - proceedings.neurips.cc
Abstract 4D human perception plays an essential role in a myriad of applications, such as
home automation and metaverse avatar simulation. However, existing solutions which …

Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi

K Yan, F Wang, B Qian, H Ding… - Proceedings of the …, 2024 - openaccess.thecvf.com
Wi-Fi signals in contrast to cameras offer privacy protection and occlusion resilience for
some practical scenarios such as smart homes elderly care and virtual reality. Recent years …

VirTeach: mmWave Radar Point Cloud Based Pose Estimation With Virtual Data as a Teacher

Z Cao, G Mei, X Guo, G Wang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
This article presents VirTeach, the exploitation of using the virtual point cloud (VPC) as an
assisted teacher in the learning process for human pose estimation incorporated with the …

Spatial-temporal Multi-scale Constrained Learning for mmWave-based Human Pose Estimation

L Chen, X Guo, G Wang, H Li - IEEE Transactions on Cognitive …, 2023 - ieeexplore.ieee.org
It is a challenging task to reconstruct human pose from millimeter wave (mmWave) radar
point clouds due to their sparsity and sensitivity to multipath noise. In order to enhance the …

MPTFormer: Towards Robust Arm Gesture Pose Tracking Using Dual-view Radar System

L Chen, X Guo, G Wang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Locating human joints using low-cost commercial millimeter-wave (mmWave) radars is an
emerging technology. Compared to single-view radar, dual-view radar fusion is more …

Fusion-competition framework of local topology and global texture for head pose estimation

D Ma, T Fu, Y Yang, K Cao, J Fan, D Xiao, H Song… - Pattern Recognition, 2024 - Elsevier
RGB image and point cloud involve texture and geometric structure, which are widely used
for head pose estimation. However, images lack of spatial information, and the quality of …

A Deep Learning Approach for In-Vehicle Multi-Occupant Detection and Classification using mmWave Radar

JP Van Marter, AG Dabak, AV Mani, S Rao… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Due to several benefits including a wide field of view, fine resolution, and low cost, millimeter-
wave (mmWave) radars are of high interest for in-vehicle sensing tasks, including occupant …