Psychophysiological Models to Identify and Monitor Elderly with a Cardiovascular Condition: The Added Value of Psychosocial Parameters to Routinely Applied Physiological Assessments

The steadily growing elderly population calls for efficient, reliable and preferably ambulant health supervision. Since cardiovascular risk factors interact with psychosocial strain (e.g., depression), we investigated the potential contribution of psychosocial factors in discriminating generally healthy elderly from those with a cardiovascular...

Results of real-time production optimization of a maturing North Sea gas asset with production constraints

Operating maturing assets poses increasingly complex challenges to operators. Meeting hourly or daily production targets becomes more difficult when wells are more often shut in for e.g. water washes (against salt deposition) or solvent jobs (at asphaltenes deposition). Declining reservoir pressure in turn results in less margin to compensate...

Finding suspects in multiple cameras for improved railway protection

The capability to find individuals using CCTV cameras is important for surveillance applications at large areas such as railway stations, airports and shopping centers. However, it is laborious to track and trace people over multiple cameras post incident. In this paper, we describe the live demonstration of our interactive re-identification...

Indoor radar SLAM A radar application for vision and GPS denied environments

Indoor navigation especially in unknown areas is a real challenge. Simultaneous Localization and Mapping (SLAM) technology provides a solution. However SLAM as currently based on optical sensors, is unsuitable in vision denied areas, which are for example encountered by first responders. Radar can be used to overcome this drawback, however no...

Indoor radar SLAM A radar application for vision and GPS denied environments

Indoor navigation especially in unknown areas is a real challenge. Simultaneous Localization and Mapping (SLAM) technology provides a solution. However SLAM as currently based on optical sensors, is unsuitable in vision denied areas, which are for example encountered by first responders. Radar can be used to overcome this drawback, however no...

Predicting internalizing outcomes based on psychophysiological dynamics

Our insight into the neurobiological dynamics underlying the processes that may over time cumulate into syndromes like Burn-out and depression is rapidly developing. A recent, though important, step has been to combine the relevant parameters of multiple domains (physiological, endocrine, social / emotional) to optimize prognostic accuracy. This...

Automatic Human Action Recognition in a Scene from Visual Inputs

Surveillance is normally performed by humans, since it requires visual intelligence. However, it can be dangerous, especially for military operations. Therefore, unmanned visual-intelligence systems are desired. In this paper, we present a novel system that can recognize human actions. Central to the system is a break-down of high-level...

Reasoning about threats: From observables to situation assessment

We propose a mechanism to assess threats that are based on observables. Observables are properties of persons, i.e., their behavior and interaction with other persons and objects. We consider observables that can be extracted from sensor signals and intelligence. In this paper, we discuss situation assessment that is based on observables for...

Increasing the security at vital infrastructures: Automated detection of deviant behaviors

This paper discusses the decomposition of hostile intentions into abnormal behaviors. A list of such behaviors has been compiled for the specific case of public transport. Some of the deviant behaviors are hard to observe by people, as they are in the midst of the crowd. Examples are deviant walking patterns, prohibited actions such as taking...

Relevant sampling applied to event-based state-estimation

To reduce the amount of data transfer in networked control systems and wireless sensor networks, measurements are usually sampled only when an event occurs, rather than synchronous in time. Today's event sampling methodologies are triggered by the current value of the sensor. State-estimators are designed to cope with such methods. In this paper...

Organizing smart networks and humans into augmented teams

This paper discusses the challenge of turning networks of sensors, computers, agents and humans into hybrid teams that are capable, effective and adaptive. We propose a functional model and illustrate how such a model can be put into practice, and augment the capabilities of the human organization. We specifically focus on the interaction...

Effective and Efficient Communication of Information

Research fields such as Network Enabled Capabilities, ubiquitous computing and distributed sensor networks, etc. deal with a lot of information and a lot of different processes to fuse data to a desired level of situation awareness. Already quite some research is done in applying information theoretic concepts to sensor management. Effective...

Augmented Teams -- Assembling Smart Sensors, Intelligent Networks and Humans into Agile Task Groups

Safety and security environments are full of networked devices. Despite ample research on sensor networks and network technology, there is little practical comprehensive work on how to incorporate such technologies effectively into human-centered teams. This paper discusses the challenge of assembling networks of smart sensors, systems and...

Effective and Efficient Communication of Information

Research fields such as Network Enabled Capabilities, ubiquitous computing and distributed sensor networks, etc. deal with a lot of information and a lot of different processes to fuse data to a desired level of situation awareness. Already quite some research is done in applying information theoretic concepts to sensor management. Effective...

Closing the Information Loop

Decision support systems require a form of situation awareness. to generate situation awareness information is needed. not all available information is necessary or equally influential. this paper proposes a way to determine which and when information is relevant. the goal of this is to minimize communication and processing of irrelevant...