Publications

2022
Immediate Effects of Posture Correction Girdle on Adolescents with Early Scoliosis.
This study explores a posture correction girdle for adolescents with early scoliosis, using radiographic imaging and 3D body scanning. Findings reveal positive effects, including reduced spinal curves and improved postural balance, suggesting alternative treatment options beyond observation. Read more
Textile-based fiber optic sensors for health monitoring: A systematic and citation network analysis review
This article reviews textile-based fiber optic sensors for health monitoring, emphasizing their flexibility and lightweight nature. It analyzes research trends using citation network analysis, highlighting applications in vital signs and respiratory monitoring for enhanced health assessment. Read more
Investigating the Factors Affecting the Thermal and Tactile Comfort of Summer Undergarments
This study examines the thermal and tactile comfort of summer underwear in Hong Kong. Using physical experiments and wear trials, the research highlights that lighter, thinner fabrics with low stitch density enhance breathability and moisture wicking, improving overall wearer comfort. Read more
Electromyographic Analysis of Paraspinal Muscles of Scoliosis Patients Using Machine Learning Approaches
A large number of studies have used electromyography (EMG) to measure the paraspinal muscle activity of adolescents with idiopathic scoliosis. However, investigations on the features of these muscles are very limited even though the information is useful for evaluating the effectiveness of various types of interventions, such as scoliosis-specific exercises. Read more
Selection of breast features for young women in northwestern China based on the random forest algorithm
Zhou J.* Mao Q. Zhang J. Lau N. Chen J.M.
DOI: 10.1177/0040517521104
This study utilizes the random forest algorithm to optimize breast feature selection, enhancing classification accuracy. By ranking feature importance, it identifies key variables, using clustering and neural networks, showing that fewer features improve shape recognition efficiency. Read more
The relevance of breast motions and gaits in running exercises
This study predicts breast motion using gait parameters for sports bra evaluation, employing neural networks and optimization algorithms. Findings reveal significant motion diversity in breast regions and a moderate correlation with gait, enhancing comfort and functionality assessments. Read more
A hybrid forecasting model for ageing breast deformation during yoga practice
Zhou J. Chen J.M. Lau N. Mao Q. Gong Z.D. Liu Y. Yip J. Yu W. Zhang J.*
DOI: 10.1177/00405175211040867
This study explores breast movement prediction in senior women during yoga using motion capture, AGRA, and ELM. The findings enhance yoga instruction and sports bra design, ensuring improved support and comfort through accurate kinematic analysis. Read more
Non–linear finite element model established on pectoralis major muscle to investigate large breast motions of senior women for bra design
This paper presents a three-dimensional nonlinear biomechanical finite element model to simulate elderly breast deformation under arm abduction. Read more
A Systematic Analysis of 3D Deformation of Aging Breasts Based on Artificial Neural Networks
This study introduces a model to predict breast skin deformation in seniors, using neural networks and motion capture for high accuracy. It's a valuable tool in cosmetic and reconstructive surgery and sports biomechanics, validated for its robust simulation and precise biomechanical analysis. Read more