Detecting anomalies accurately in time series data has been receiving considerable attention due to its enormous potential for a wide array of applications. Numerous unsupervised anomaly detection methods for time series have been developed because of the difficulty of obtaining accurate labels.

It is important to understand how the hand and fingers elongate and contract with hand posture for optimally fitting and comfortable gloves.

Accurate evaluations of the interface pressure between the bra and skin are critically important prerequisites for the ergonomic design of bra components. Nevertheless, previous analyses on contact pressure have mainly relied on human wear trials with low data repeatability.

As the use of textile polypropylene (PP) fibers becomes more common in commercial textiles and sportswear, the investigation of the effects of UV-curable ink on the heat-sensitive PP knitted fabrics is crucial to optimize functional clothing design.

Net buoyant force is a crucial factor affecting the functional performance of clothing for water safety. In this study, an alternative method was developed for measuring the net buoyant force of various buoyant materials, such as buoyant fabrics, on a small scale in a more accurate and efficient way than the existing method.

As the use of buoyant swimwear by children in residential swimming becomes more common, the investigation of the effects of buoyant textiles is crucial for the optimisation of functional buoyant clothing design.