As the proportion of elderly individuals in developed countries continues to rise globally,
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …

Human-action recognition attempts to determine which deed occurs by people. Owing to the
wide spectrum of human activities, action recognition spans a wide range. Among all, falls …

Various industrial and domestic applications call for optimized lightweight video LSTM
network models on edge. The recent tensor-train method can transform space-time features …

We propose a novel framework that leverages large language models (LLMs) to guide the
rank selection in tensor network models for higher-order data analysis. By utilising the …

Falling is ranked highly among the threats in elderly healthcare, which promotes the
development of automatic fall detection systems with extensive concern. With the fast …

Fall detection is one of the most important functions for a healthcare robot system because
falls are very dangerous for older people and might lead to death if failed to provide prompt …