activity
20202024
most citedGaitVibe+: Enhancing Structural Vibration-based Footstep Localization Using Temporary Cameras for In-home Gait Analysis

14 citations · 18 across the 3 of their papers we have counts for

collaborators

5 papers

physics.geo-ph2024

Urban Sensing Using Existing Fiber-Optic Networks

Jingxiao Liu, Haipeng Li, Hae Young Noh +3

The analysis of urban seismic signals offers valuable insights into urban environments and society. Yet, accurate detection and localization of seismic sources on a city-wide scale…

physics.geo-ph2024

Characterizing Vehicle-Induced Distributed Acoustic Sensing Signals for Accurate Urban Near-Surface Imaging

Jingxiao Liu, Haipeng Li, Siyuan Yuan +2

Continuous seismic monitoring of the near-surface structure is crucial for urban infrastructure safety, aiding in the detection of sinkholes, subsidence, and other seismic hazards.…

eess.SP202214 cited

GaitVibe+: Enhancing Structural Vibration-based Footstep Localization Using Temporary Cameras for In-home Gait Analysis

Yiwen Dong, Jingxiao Liu, Hae Young Noh

In-home gait analysis is important for providing early diagnosis and adaptive treatments for individuals with gait disorders. Existing systems include wearables and pressure mats,…

eess.SY20221 cited

Vibration-Based Bridge Health Monitoring using Telecommunication Cables

Jingxiao Liu, Siyuan Yuan, Bin Luo +2

Bridge Health Monitoring (BHM) enables early damage detection of bridges and is thus critical for avoiding more severe damages that might result in major financial and human losses…

cs.CV20203 cited

Knowledge transfer between bridges for drive-by monitoring using adversarial and multi-task learning

Jingxiao Liu, Mario Bergés, Jacobo Bielak +1

Monitoring bridge health using the vibrations of drive-by vehicles has various benefits, such as low cost and no need for direct installation or on-site maintenance of equipment on…