Human activity recognition (HAR) using inertial motion data has gained a lot of momentum
in recent years both in research and industrial applications. From the abstract perspective …

Gait is commonly defined as the movement pattern of the limbs over a hard substrate, and it
serves as a source of identification information for various computer-vision and image …

Gestural interaction with freehands and while gras** an everyday object enables always-
available input. To sense such gestures, minimal instrumentation of the user's hand is …

Cutting tool wear state assessment during the manufacturing process is extremely
significant. The primary purpose of this study is to monitor tool wear to ensure timely tool …

The global trend of population aging presents an urgent challenge in ensuring the safety
and well-being of elderly individuals, especially those living alone due to various …

The squat is a multi-joint exercise widely used for everyday at-home fitness. Focusing on the
fine-grained classification of squat motions, we propose a smartwatch-based wearable …

Results We employed the accuracy and macro average of the F 1-score, F m, as a measure
of performance. For the both-hands condition, the accuracy (F m) was 0.9757 (0.9728) …

Nowadays, fine-grained Human Activity Recognition (HAR) has become extremely
interesting among researchers due to its applications in fields such as healthcare, security …

People who exercise may benefit or be injured depending on their foot striking (FS) style. In
this study, we propose an intelligent system that can recognize subtle differences in FS …

As an important part of the modern sports industry system, the quality and level of its
development are related to whether China's sports industry can successfully become a pillar …