Mental workload (MWL) is the cognitive effort required to manage information in working memory. Excessive MWL increases the error risk and, when prolonged, can impair appetite, sleep, and overall ... Read More

Change detection in satellite imagery plays a crucial role in environmental monitoring and spatial analysis. However, conventional methods often face limitations in processing efficiency and accu ... Read More

Public transport accessibility is central to evaluating the performance, equity, and efficiency of urban transit systems. However, mainstream assessments remain supply-centric and largely static, ... Read More

In this paper, a “3D taxi that connects high-rise buildings” is proposed. It is an advanced idea that can effectively utilize the 3D space of a city and increase the efficiency of the movemen ... Read More

In this study, we investigated a novel recommendation system that utilizes collective brain activity. Conventional collaborative filtering relies on conscious inputs such as user ratings, which d ... Read More

With the growing aging population, the demand for reliable fall detection systems is increasing. Owing to safety concerns, real-world fall data—especially for tripping-induced falls—are often ... Read More

Recent advances in wearable sensing and digital phenotyping have enabled mental health tracking by combining self-reports with physiological and behavioral indicators. However, conventional inter ... Read More

Recent advancements in sensor development and network technologies have increased the demand for lightweight machine learning techniques that operate efficiently in computational resource-constra ... Read More

Step width is an important indicator of gait stability and fall risk, and continuous assessment in daily life is required. Although step width can be estimated from gait data collected using iner ... Read More

AI advancements in anomaly detection enable inspections that are more efficient and precise than human operators, enhancing recycling efficiency and supporting Sustainable Development Goals. Tire ... Read More

In this research, we developed a two-stage model that integrates first-person video and third-person skeletal information to perform task classification and task time estimation in a textile dyei ... Read More

Accurate rhythm perception and coordinated four-limb control are fundamental for drum performance; however, beginners often struggle to maintain stable timing and independent limb movements. Conv ... Read More