The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

Abstract Wireless Body Sensor Network (BSNs) are wearable sensors with varying sensing,
storage, computation, and transmission capabilities. When data is obtained from multiple …

Image semantic segmentation has always been a research hotspot in the field of robots. Its
purpose is to assign different semantic category labels to objects by segmenting different …

People with complex communication needs can use a high-technology augmentative and
alternative communication device to communicate with others. Currently, researchers and …

Mobile activity recognition is significant to the development of human-centric pervasive
applications including elderly care, personalized recommendations, etc. Nevertheless, the …

In recent years, human activity recognition (HAR) has gained importance in several domains
such as surveillance, recognizing indoor and outdoor activities, and providing active and …

Unobtrusive and smart recognition of human activities using smartphones inertial sensors is
an interesting topic in the field of artificial intelligence acquired tremendous popularity …

Automatic detection and analysis of human activities captured by various sensors (eg,
sequences of images captured by RGB camera) play an essential role in various research …

A novel first-person human activity recognition framework is proposed in this work. Our
proposed methodology is inspired by the central role moving objects have in egocentric …

This paper presents a system based on ontologies for the definition of alarms in sensor
systems. Although we consider that the ontology and the system are interesting themselves …