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Modern technologies and connectivity enable users to perform their tasks faster than ever before. Overall performance no longer depends upon barriers imposed by the tools used for the work, but by the speed of the worker himself. Trying to compete with their electronic “helpers”, such as computers, PDAs and mobile phones, people perform multitasking as common practice while trying to minimize idleness...
It is difficult to get awareness of user's context from sensors such kind of video cameras, RFID-Tags, GPS, PC-monitoring and another ubiquitous devices. On the other hand, it is difficult to understanding what information is got in computers for user. We are in the network-age since 1995. We use PC, smart phone, iPad and other digital gadget which are connected to the Internet every time anywhere...
Human motion analysis provides a valuable solution for monitoring the well-being of the elderly, quantifying post-operative patient recovery and monitoring the progression of neurodegenerative diseases such as Parkinson's. The development of accurate motion analysis models, however, requires the integration of multi-sensing modalities and the utilization of appropriate data analysis techniques. This...
Contextual Information is proving to be not only an additional exploitable information source for improving entity and situational estimates in certain Information Fusion systems, but can also be the entire focus of estimation for such systems as those directed to Ambient Intelligence (AI) and Context-Aware(CA) applications. This paper will discuss the role(s) of Contextual Information (CI) in a wide...
The task of vision based people tracking is a major research problem in the context of surveillance applications or human behavior estimation, but it has had only minimal impact on (Ubiquitous) Augmented Reality applications thus far. Deploying stationary infrastructural cameras within indoor environments for the purpose of Augmented Reality could provide a users' devices with additional functionality...
Speed limit information systems solely based on one modality can hardly overcome their respective intrinsic disadvantages: Digital maps lack support for short-term changes brought by variable message signs and road works, while camera based systems cannot recognize implicit speed limits and may fail in adverse lighting scenarios. In this work we show a fusion approach that is able to overcome these...
Truly ubiquitous computing poses new and significant challenges. One of the key aspects that will condition the impact of these new technologies is how to obtain a manageable representation of the surrounding environment starting from simple sensing capabilities. This will make devices able to adapt their computing activities on an everchanging environment. This paper presents a framework to promote...
Multi-sensor systems are increasingly being deployed in many application scenarios due to the enormous potential they can offer. However, as the processing of sensory data often results in imprecise outcome, measuring the quality of information (QoI) in these systems has become an important issue. The measurement of QoI is usually performed by processing the elementary data provided by the heterogeneous...
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