The monitoring of human physical activities using wearable sensors, such as inertial-based
sensors, plays a significant role in various current and potential applications. These …

In recent years, there is a growing interest in Human Activity Recognition (HAR) systems
applied in healthcare. A HAR system is essentially made of a wearable device equipped …

Human physical activity recognition from inertial sensors is shown to be a successful
approach for monitoring elderly individuals and children in indoor and outdoor …

Gait has been widely used in the fields of elderly care, posture correction, and identity
recognition. By analyzing and processing the motion parameters and attitude data collected …

Human daily activity recognition (HDAR) using wearable sensors is an important task for
researchers aiming to develop an effective and feasible model which is capable of …

Human activity recognition (HAR) plays a crucial role in human-computer interaction, smart
home, health monitoring and elderly care. However, existing methods typically utilize …

Recognition of human activity is one of the most exciting aspects of time-series classification,
with substantial practical and theoretical implications. Recent evidence indicates that activity …

The recognition of human daily living activities has attained significant attention in recent
times. As a result, many methods have been used in the literature to detect and monitor …

障碍人群的问题行为给个体, 家庭和整个社会带来了沉重的心理压力和经济负担. 为此,
本文致力于探索利用可穿戴设备内置的9 轴运动传感器结合先进的人工智能技术对障碍人群的 …

In recent times, advancements in pervasive computing have progressed the real-time
monitoring of personal life-logs in the indoor-outdoor environment. These advancements …