A trust and privacy framework for smart manufacturing environments
Operators in industrial manufacturing environments are under pressure to cope with the ever increasing flexibility and complexity of work. Transitioning towards data-driven smart manufacturing environments in the context of Industry 4.0 with wearable ...
Robust driver foot tracking and foot gesture recognition using capacitive proximity sensing
Nowadays, there is an increasing trend towards automated driving. This is supported by both driver assistance systems getting more and more available and powerful, and research for car manufacturing industries. As a consequence, driver hands and feet are ...
Utilising fog computing for developing a person-centric heart monitoring system
Heart disease and stroke are becoming the leading causes of death worldwide. Electrocardiography monitoring devices (ECG) are the only tool that helps physicians diagnose cardiac abnormalities. Although the design of ECGs has followed closely the ...
Tidy up my room: Multi-agent cooperation for service tasks in smart environments
Low-cost robots are usually specialized systems that cannot solve complex tasks, e.g., doing the laundry or tidying up. These tasks are usually solved by more complex and expensive general-purpose systems. The most common problems are the lack of sensors ...
Assessing the perceptibility of smartphone notifications in smart lighting spaces
In smart spaces with connected smart lighting, there is an opportunity to deliver smartphone notifications using peripheral light, along with using standard smartphone modalities such as sound, vibration and LEDs, in order to help a user perceive them ...
