83 citations · 221 across the 12 of their papers we have counts for
12 papers
PigV: Monitoring Pig Vital Signs through Ground Vibrations Induced by Heartbeat and Respiration
Yiwen Dong, Jesse R Codling, Gary Rohrer +5
Pig vital sign monitoring (e.g., estimating the heart rate (HR) and respiratory rate (RR)) is essential to understand the stress level of the sow and detect the onset of parturitio…
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,…
Spatial Deep Deconvolution U-Net for Traffic Analyses with Distributed Acoustic Sensing
Siyuan Yuan, Martijn van den Ende, Jingxiao Liu +4
Distributed Acoustic Sensing (DAS) that transforms city-wide fiber-optic cables into a large-scale strain sensing array has shown the potential to revolutionize urban traffic monit…
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…
HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis
Jingxiao Liu, Susu Xu, Mario Bergés +1
Monitoring bridge health using vibrations of drive-by vehicles has various benefits, such as no need for directly installing and maintaining sensors on the bridge. However, many of…
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…
LaNet: Real-time Lane Identification by Learning Road SurfaceCharacteristics from Accelerometer Data
Madhumitha Harishankar, Jun Han, Sai Vineeth Kalluru Srinivas +7
The resolution of GPS measurements, especially in urban areas, is insufficient for identifying a vehicle's lane. In this work, we develop a deep LSTM neural network model LaNet tha…
Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring
Jingxiao Liu, Bingqing Chen, Siheng Chen +3
We introduce a physics-guided signal processing approach to extract a damage-sensitive and domain-invariant (DS & DI) feature from acceleration response data of a vehicle traveling…
Knowledge Transfer between Buildings for Seismic Damage Diagnosis through Adversarial Learning
Susu Xu, Hae Young Noh
Automated structural damage diagnosis after earthquakes is important for improving the efficiency of disaster response and rehabilitation. In conventional data-driven frameworks wh…
O-MedAL: Online Active Deep Learning for Medical Image Analysis
Asim Smailagic, Pedro Costa, Alex Gaudio +9
Active Learning methods create an optimized labeled training set from unlabeled data. We introduce a novel Online Active Deep Learning method for Medical Image Analysis. We extend…
An Incentive Mechanism for Crowd Sensing with Colluding Agents
Susu Xu, Weiguang Mao, Yue Cao +2
Vehicular mobile crowd sensing is a fast-emerging paradigm to collect data about the environment by mounting sensors on vehicles such as taxis. An important problem in vehicular cr…
Automated Synchronization of Driving Data Using Vibration and Steering Events
Lex Fridman, Daniel E Brown, William Angell +3
We propose a method for automated synchronization of vehicle sensors useful for the study of multi-modal driver behavior and for the design of advanced driver assistance systems. M…