Synthetic Human Motion Video Generation Based on Biomechanical Model

Biomechanics studies the underlying mechanisms between body movements and forces. Accurate motion data is crucial for the biomechanics. Currently, marker-based motion capture systems are often used by researchers to record motion data. Marker-based motion capture systems are not widely adopted due to its drawbacks in terms of financial and time...

Settlement Predictions of The Noordtunnel: A Numerical Simulation

The Noordtunnel is an immersed tunnel open to roadway service since 1990 in The Netherlands. Over the past thirty years of its operation time, a significant differential settlement behaviour has been observed, and this ongoing settlement potentially imposes safety concerns to the tunnel, such as joint leakage. However, the underlying factor...

From Points to Faces: An automotive lidar-based face recognition system

Face recognition using lidar presents challenges arising from high dimensionality and data sparsity, especially at longer distances. This paper proposes a novel approach for face recognition via automotive lidar. The approach leverages a combination of deep learning and point cloud processing techniques. After identification of the facial point...

Amyloid-beta plaque quantification and analysis

Alzheimer's disease (AD) is becoming more prevalent as the world population gets older. The formation of Amyloid-beta (\AB) plaques is one of the pathologies related to AD. Recent work has shown that the \ab load in brain tissue has a negative correlation with cognitive performance in cognitively healthy centenarians. <br/>This work aims to...

Memorable moment detection using eye gaze in child-robot interactions

Robots in classroom settings can help teachers with providing personalised attention to children's health and development. As part of this personalisation, robots should store and use (verbal or multi-modal) information about the children they interact with. One aspect that has been unexplored in existing literature is the detection of memorable...

Prone-to-supine breast tumor registration using landmarks

During the preoperative planning for breast-conserving surgery, the surgeon makes use of an MRI scan of the breast cancer patient in the prone position to accurately locate the tumour. However, surgery is performed with the patient in the supine position. The surgeon needs to mentally translate the location of the tumour from the prone position...

Optimization of Design and Monitoring of Immersed Tunnels

Many immersed tunnels have already reached or are about to reach the halfway point of their intended lifespan of 100 years. Around this time, several structural problems were noticed during inspection which have led to performance deterioration and durability issues of the tunnel. Often large- scale maintenance was required to meet the design...

Reconstruction and Rendering of Buildings as Radiance Fields for View Synthesis

In inspection and display scenarios, reconstructing and rendering the entire surface of a building is a critical step in presenting the overall condition of the building. In building reconstruction, most works are based on point clouds because of their enhanced availability. In recent years, neural radiance fields (NeRF) have become a common...

Scene Editing using Polarization: Real-World Scene Editing using a Polarization-based Intrinsic Image Decomposition

In the field of computer vision, the difficulty of processing the illumination in an arbitrary scene creates complications for a machine's understanding of the scene. Computer vision algorithms commonly use input images acquired by a camera, where the only measured quantity is the amount of light the camera's sensor receives without any...

Settlement Behaviour of Heinenoord Tunnel: A Numerical Study

The 1st Heinenoordtunnel is an immersed tube which has been open for service in the Netherlands since 1969. Over the past 50 years, a large and increasing settlement has been measured along the tunnel alignment. The greatest value of settlement (65 mm) occurs in tunnel element 1 from 1978 to 2018. The maximum differential settlement has reached...

Using explanations to improve subjective experience of control in situations of delayed control effects

Problem Statement. The responsibility problem in the AI field has been taken seriously. The point of the problem is how to prevent AI systems from making moral decisions for whom they cannot be held accountable. One of the directions to address the responsibility problem is Meaningful Human Control (MHC). Most of the work focused on theoretical...

Toward Fine-grained Causality Reasoning and Question Answering

This thesis mainly studies the causality in natural language processing. Understanding causality is key to the success of NLP applications, especially in high-stakes domains. Causality comes in various perspectives such as enable and prevent that, despite their importance, have been largely ignored in the literature. In view of the lack of a...

Predictive modelling of facial features from DNA

Background: In recent years, attention to the genetic architecture of normal-range variation in facial morphology has risen and through GWAS genetic loci associated with facial morphology have been identified. However these give no insight in how the face is shaped by genetics. To investigate the relationship between the genotype and the...

Learning Analytics of Beginner Programming Assignments for Teachers

Due to the increase in student numbers, the amount of time teachers have for each individual decreases. To keep the quality of the program the same, learning analytics can be utilized to assist teachers to give a better overview of problems which the students are struggling the most with. This work makes use of WebLab data of the Introduction to...