Urban flooding has become a key issue for many cities around the world. With the continuing effects of climate change, this will become more acute and will add to the serious problems already experienced in dense urban areas. Therefore several international stakeholders are in the need of tools that …

Kicking in Australian Football (AF) has been reported as the most important skill of the game. Nevertheless, no study has investigated kicking with IMU units. These units could be used to gain kicking data through an easy and assessable way. The purpose of this study was to analyse a kick executed by …

Human activity recognition system is of great importance in robot-care scenarios. Typically, training such a system requires activity labels to be both completely and accurately annotated. In this paper, we go beyond such restriction and propose a learning method that allow labels to be incomplete and …

This paper presents an alternative way to use records from safety investigations as a means to support the evaluation of safety management (SM) aspects. Datasets from safety investigation reports and progress records of an aviation organization were analyzed with the scope of assessing safety management’s …

We present a novel hierarchical model for human activity recognition. In contrast with approaches that successively recognize actions and activities, our approach jointly models actions and activities in a unified framework, and their labels are simultaneously predicted. The model is embedded with a …

Anomaly detection is a key factor in the processing of large amounts of sensor data from Wireless Sensor Networks (WSN). Efficient anomaly detection algorithms can be devised performing online node-local computations and reducing communication overhead, thus improving the use of the limited hardware …

The maturing field of Wireless Sensor Networks (WSN) results in long-lived deployments that produce large amounts of sensor data. Lightweight online on-mote processing may improve the usage of their limited resources, such as energy, by transmitting only unexpected sensor data (anomalies). We detect …

The short-term aim of this R&D project (financed by the Centre of Expertise Creative Industries) is to develop a virtually simulated textile database that renders 3D visual representations of these fabrics. The idea is for this database to be open source and be able to interface with 3D design applications …

Psychogeriatric patients are a very vulnerable group among the elderly. A relative large proportion is institutionalized. In addition, many studies point to the heavy burden on the informal carers of psychogeriatric patients, frequently leading to depression. Geriatric expertise in primary care, however, …