Human composite activity recognition enhances smart homes to better understand and
respond to user needs, and plays a key role in activity assistance. However, the current …

Nowadays, Deep Learning as a service can be deployed in Internet of Things (IoT) to
provide smart services and sensor data processing. However, recent research has revealed …

Human Activity Recognition (HAR) has gained significant interest in various research circles
due to its wide-ranging applications, including patient monitoring, gaming, and education …

In recent times, there has been an increase in interest in mobile sensing systems. These
systems integrate sensors with mobile devices like smartphones and robots, enabling data …

In this century, smart devices are increasingly present in our lives, such as at work, sports, or
household chores. In this context, we have wearable devices that can help people with …

In machine learning, model compression is vital for resource-constrained Internet of Things
(IoT) devices, such as unmanned aerial vehicles (UAVs) and smart phones. Currently there …

人口老龄化及老年人慢性病患病率的增加, 给家庭和社会带来了巨大的经济负担.
新型非侵入式可穿戴传感系统不仅可以连续实时地监测人们的重要生理体征 …

Os dispositivos vestíveis estão cada vez mais presentes em nossas vidas. Além disso, os
algoritmos de inteligência artificial vêm se tornando essenciais para com-por estes …

The selection of features is the key problem in the study of human activity recognition. In
order to obtain sufficient and stable behavioral features, long-time behavioral data that …

The cloud based healthcare monitoring applications with the integration of Internet of Things
(IoT) devices is most common research area, where it is able to overcome the issues in the …