Advancing non-rigid 3D/4D human mesh registration for ultra-personalization

Personalized designs bring significant added value to the products and the users. However, they also pose challenges on the product design process. For instance, for products for personalized fit ,each may differ subject to each user’s body shape and preference. Presently, there exist knowledge and methods which suppor designing personalized...

Personalized product design through digital fabrication

Personalized designs bring added value to the products and the users. Meanwhile, they also pose challenges to the product design process as each product differs. In this paper, with the focus on personalized fit, we present an overview as well as details of the personalized design process based on design practice. The general workflow of...

Feature preserving non-rigid iterative weighted closest point and semi-curvature registration

Preserving features of a surface as characteristic local shape properties captured e.g. by curvature, during non-rigid registration is always difficult where finding meaningful correspondences, assuring the robustness and the convergence of the algorithm while maintaining the quality of mesh are often challenges due to the high degrees of...

Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks

Predicting pediatric spinal deformity (PSD) from X-ray images collected on the patient’s initial visit is a challenging task. This work builds on our previous method and provides a novel bio-informed framework based on a mechanistic machine learning technique with dynamic patient-specific parameters to predict PSD. We provide a geometry-based...

Adaptive time-delay estimation and control of optimized Stewart robot

Aiming at a more efficient and accurate performance of parallel manipulators in the existence of complex kinematics and dynamics, a robust generalizable methodology is proposed here for an integrated 6-DOF Stewart platform with rotary time-delayed actuators torque control. The suggested method employs a time-delay linear–quadratic integral...

Implementation and intelligent gain tuning feedback–based optimal torque control of a rotary parallel robot

Aiming at operating optimally minimizing error of tracking and designing control effort, this study presents a novel generalizable methodology of an optimal torque control for a 6-degree-of-freedom Stewart platform with rotary actuators. In the proposed approach, a linear quadratic integral regulator with the least sensitivity to controller...

Discrete Time Delay Feedback Control of Stewart Platform with Intelligent Optimizer Weight Tuner

In the presence of complicated kinematic and dynamic, we present a generalizable robust control technique for the 6-Degree of Freedom (6DoF) Stewart integrated platform with revolving, time-delayed torque control actuators to achieve faster, and reliable efficiency for parallel control manipulators. The suggested optimal solution involves the...

Image-based modelling for Adolescent Idiopathic Scoliosis: Mechanistic machine learning analysis and prediction

Scoliosis, an abnormal curvature of the human spinal column, is characterized by a lateral deviation of the spine, accompanied by axial rotation of the vertebrae. Adolescent Idiopathic Scoliosis (AIS) is the most common type, affecting children between ages 8 to 18 when bone growth is at its maximum rate. We propose a mechanistic machine...

Posture-invariant three dimensional human hand statistical shape model

A high-fidelity digital representation of (part of) the human body is a key enabler for integrating humans in a digital twin. Among different parts of human body, building the model of the hand can be a challenging task due to the posture deviations among collected scans. In this article, we proposed a posture invariant statistical shape...