Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …

Wearable sensors for activity monitoring currently are being designed and developed,
driven by an increasing demand in health care for noninvasive patient monitoring and …

This article proposes a proof-of-concept device to continuously assess the usage of
handheld power tools and detect construction working tasks (eg, different drilling works) …

Yoga has been a great form of physical activity and one of the promising applications in
personal health care. Several studies prove that yoga is used as one of the physical …

Nowadays, the field of human activity recognition (HAR) is a remarkably hot topic within the
scientific community. Given the low cost, ease of use and high accuracy of the sensors from …

Smartphones enable understanding human behavior with activity recognition to support
people's daily lives. Prior studies focused on using inertial sensors to detect simple activities …

Self-supervised learning (SSL) has emerged as a promising alternative to purely supervised
learning, since it can learn from labeled and unlabeled data using a pre-train-then-fine-tune …

Human Activity Recognition (HAR) on mobile devices has shown to be achievable with
lightweight neural models learned from data generated by the user's inertial measurement …

This paper proposes a posture recognition system that can be applied for medical
surveillance. The proposed method estimates human posture using mobilenetV2 and long …

In the last decades, robotic solutions have been introduced in agriculture to improve the
efficiency of tasks such as spraying, plowing, and seeding. However, for a more complex …