activity
20232026
collaborators

5 papers

cs.CV2026

PressureMesh: 3D Human Mesh Estimation from Multi-Device Pressure Images

Changhai Ma, Ziyu Wu, Yunkang Zhang +8

Human pose monitoring is crucial in fields such as rehabilitation assessment and human-computer interaction. Due to its privacy-preserving nature, pressure-based human pose monitor…

cs.CV2025

PressTrack-HMR: Pressure-Based Top-Down Multi-Person Global Human Mesh Recovery

Jiayue Yuan, Fangting Xie, Guangwen Ouyang +7

Multi-person global human mesh recovery (HMR) is crucial for understanding crowd dynamics and interactions. Traditional vision-based HMR methods sometimes face limitations in real-…

cs.CV2025

PI-HMR: Towards Robust In-bed Temporal Human Shape Reconstruction with Contact Pressure Sensing

Ziyu Wu, Yufan Xiong, Mengting Niu +5

Long-term in-bed monitoring benefits automatic and real-time health management within healthcare, and the advancement of human shape reconstruction technologies further enhances th…

eess.SP2024

Contrastive Learning-based User Identification with Limited Data on Smart Textiles

Yunkang Zhang, Ziyu Wu, Zhen Liang +4

Pressure-sensitive smart textiles are widely applied in the fields of healthcare, sports monitoring, and intelligent homes. The integration of devices embedded with pressure sensin…

cs.HC2023

MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image

Ziyu Wu, Quan Wan, Mingjie Zhao +5

Body weight, as an essential physiological trait, is of considerable significance in many applications like body management, rehabilitation, and drug dosing for patient-specific tr…