scholarly journals A Context-Aware Framework for Collaborative Activities in Pervasive Communities

2014 ◽  
Vol 5 (2) ◽  
pp. 31-43 ◽  
Author(s):  
Christopher Lima ◽  
Mário Antunes ◽  
Diogo Gomes ◽  
Rui Aguiar ◽  
Telma Mota
Keyword(s):  
Social Context ◽  
Context Information ◽  
Context Aware ◽  
Design And Development ◽  
Pervasive Environments ◽  
Collaborative Applications ◽  
Information Interpretation ◽  
Collaborative Activities

Pervasive environments involve the interaction of users with the objects that surround them and also other participants. In this way, pervasive communities can lead the user to participate beyond traditional pervasive spaces, enabling the cooperation among groups taking into account not only individual interests, but also the collective and social context. In this study, the authors explore the potential of using context-aware information in CSCW application in order to support collaboration in pervasive environments. In particular this paper describes the approach used in the design and development of a context-aware framework utilizing users' context information interpretation for behaviour adaptation of collaborative applications in pervasive communities.

scholarly journals Quality of Context: models and applications for context-aware systems in pervasive environments

2014 ◽  
Vol 29 (2) ◽  
pp. 154-170 ◽  
Author(s):  
Atif Manzoor ◽  
Hong-Linh Truong ◽  
Schahram Dustdar
Keyword(s):  
Context Information ◽  
Context Aware ◽  
Actual Problem ◽  
Problem Context ◽  
Pervasive Environments ◽  
Specific Measurement ◽  
Lack Of Information ◽  
Quality Of Context ◽  
Context Models

AbstractLimitations of sensors and the situation of a specific measurement can affect the quality of context information that is implicitly collected in pervasive environments. The lack of information about Quality of Context (QoC) can result in degraded performance of context-aware systems in pervasive environments, without knowing the actual problem. Context-aware systems can take advantage of QoC if context producers also provide QoC metrics along with context information. In this paper, we analyze QoC and present our model for processing QoC metrics. We evaluate QoC metrics considering the capabilities of sensors, circumstances of specific measurement, requirements of context consumer, and the situation of the use of context information. We also illustrate how QoC metrics can facilitate in enhancing the effectiveness and efficiency of different tasks performed by a system to provide context information in pervasive environments.

Routing in Opportunistic Networks

2011 ◽  
pp. 179-193 ◽  
Author(s):  
Hoang Anh Nguyen ◽  
Silvia Giordano
Keyword(s):  
Social Context ◽  
Mobile Devices ◽  
Opportunistic Networks ◽  
Relative Performance ◽  
Context Information ◽  
Context Aware ◽  
Routing Techniques ◽  
End To End ◽  
Actor Networks

In Opportunistic Networks (OppNets), mobile devices transmit messages by exploiting the direct contacts, without the need of an end-to-end infrastructure. Disconnections of nodes and high churn rates are normal features of opportunistic networks. Hence, routing is one of the main challenges in this environment. In this article, we provide a survey of the main routing approaches in OppNets and classify them into three classes: context-oblivious, mobility-based, and social context-aware routing. We emphasize the role of context information in forwarding data in OppNets, and evaluate the relative performance of the three routing techniques. Finally, we present how context-based information is used to route data in a specific subclass of OppNets: Sensor Actor Networks (SANETs).

scholarly journals Context-Aware Human Activity Recognition in Industrial Processes

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 134
Author(s):  
Friedrich Niemann ◽  
Stefan Lüdtke ◽  
Christian Bartelt ◽  
Michael ten Hompel
Keyword(s):  
Activity Recognition ◽  
Time Management ◽  
Recognition Performance ◽  
Context Information ◽  
Context Aware ◽  
Recognition Model ◽  
Movement Data ◽  
Information Activity ◽  
The Subject ◽  
Motion Capturing

The automatic, sensor-based assessment of human activities is highly relevant for production and logistics, to optimise the economics and ergonomics of these processes. One challenge for accurate activity recognition in these domains is the context-dependence of activities: Similar movements can correspond to different activities, depending on, e.g., the object handled or the location of the subject. In this paper, we propose to explicitly make use of such context information in an activity recognition model. Our first contribution is a publicly available, semantically annotated motion capturing dataset of subjects performing order picking and packaging activities, where context information is recorded explicitly. The second contribution is an activity recognition model that integrates movement data and context information. We empirically show that by using context information, activity recognition performance increases substantially. Additionally, we analyse which of the pieces of context information is most relevant for activity recognition. The insights provided by this paper can help others to design appropriate sensor set-ups in real warehouses for time management.

scholarly journals Study of a Context Quality Model for UbiPri Middleware

2020 ◽  
Author(s):  
Diandre de Paula ◽  
Daniel Saraiva ◽  
Romeiro Natália ◽  
Nuno Garcia ◽  
Valderi Leithardt
Keyword(s):  
Quality Indicators ◽  
Data Privacy ◽  
Context Information ◽  
Adaptation Process ◽  
Context Aware ◽  
Quality Model ◽  
Context Aware Computing ◽  
Quality Of Context ◽  
The Impact

With the growth of ubiquitous computing, context-aware computing-based applications are increasingly emerging, and these applications demonstrate the impact that context has on the adaptation process. From the context, it will be possible to adapt the application according to the requirements and needs of its users. Therefore, the quality of the context information must be guaranteed so that the application does not have an incorrect or unexpected adaptation process. But like any given data, there is the possibility of inaccuracy and/or uncertainty and so Quality of Context (QoC) plays a key role in ensuring the quality of context information and optimizing the adaptation process. To guarantee the Quality of Context it is necessary to study a quality model to be created, which will have the important function of evaluating the context information. Thus, it is necessary to ensure that the parameters and quality indicators to be used and evaluated are the most appropriate for a given type of application. This paper aims to study a context quality model for the UbiPri middleware, defining its quality indicators to ensure its proper functioning in the process of adaptation in granting access to ubiquitous environments. Keywords: QoC, Model, Context-Aware, Data, Privacy

Integrating Context-aware Pervasive Environments

2006 ◽  
Author(s):  
Muhammad Khan ◽  
Kashif Zia ◽  
Nadeem Daudpota ◽  
S Hussain ◽  
Najma Taimoor
Keyword(s):  
Context Aware ◽  
Pervasive Environments

Evaluation of Quality of Context Information in U-Health Smart Homes

2012 ◽  
pp. 179-215 ◽  
Author(s):  
José Bringel Filho ◽  
Nazim Agoulmine
Keyword(s):  
Health Systems ◽  
Smart Homes ◽  
Well Being ◽  
Context Information ◽  
Context Aware ◽  
Daily Lives ◽  
Quality Of Context ◽  
The Impact ◽  
Health And Well Being

Ubiquitous Health (U-Health) smart homes are intelligent spaces capable of observing and correctly recognizing the activities and health statuses of their inhabitants (context) to provide the appropriate support to achieve an overall sense of health and well-being in their inhabitants’ daily lives. With the intrinsic heterogeneity and large number of sources of context information, aggregating and reasoning on low-quality raw sensed data may result in conflicting and erroneous evaluations of situations, affecting directly the reliability of the U-Health systems. In this environment, the evaluation and verification of Quality of Context (QoC) information plays a central role in improving the consistency and correctness of context-aware U-Health applications. Therefore, the objective of this chapter is to highlight the impact of QoC on the correct behavior of U-Health systems, and introduce and analyze the existing approaches of modeling, evaluating, and using QoC to improve its context-aware decision-making support.

Service Selection with Uncertain Context Information

2012 ◽  
pp. 192-215 ◽  
Author(s):  
Yves Vanrompay ◽  
Manuele Kirsch-Pinheiro ◽  
Yolande Berbers
Keyword(s):  
Real Life ◽  
Similarity Measures ◽  
Service Selection ◽  
Context Information ◽  
Context Aware ◽  
Functional Requirements ◽  
Selection Algorithm ◽  
Service Description ◽  
Inexact Matching ◽  
Service Ranking

The current evolution of Service-Oriented Computing in ubiquitous systems is leading to the development of context-aware services. Context-aware services are services of which the description is enriched with context information related to non-functional requirements, describing the service execution environment or its adaptation capabilities. This information is often used for discovery and adaptation purposes. However, in real-life systems, context information is naturally dynamic, uncertain, and incomplete, which represents an important issue when comparing the service description with user requirements. Uncertainty of context information may lead to an inexact match between provided and required service capabilities, and consequently to the non-selection of services. In this chapter, we focus on how to handle uncertain and incomplete context information for service selection. We consider this issue by presenting a service ranking and selection algorithm, inspired by graph-based matching algorithms. This graph-based service selection algorithm compares contextual service descriptions using similarity measures that allow inexact matching. The service description and non-functional requirements are compared using two kinds of similarity measures: local measures, which compare individually required and provided properties, and global measures, which take into account the context description as a whole.

Resolving and Mediating Ambiguous Contexts in Pervasive Environments

2011 ◽  
pp. 122-147 ◽  
Author(s):  
Nirmalya Roy ◽  
Sajal K. Das ◽  
Christine Julien
Keyword(s):  
State Estimation ◽  
Pervasive Computing ◽  
Independent Living ◽  
Vital Signs ◽  
Context Information ◽  
Context Aware ◽  
Information Theoretic ◽  
Significant Challenge ◽  
Environmental Measures ◽  
Optimal State Estimation

Pervasive computing applications envision sensor rich computing and networking environments that can capture various types of contexts of inhabitants of the environment, such as their locations, activities, vital signs, and environmental measures. Such context information is useful in a variety of applications, for example to manage health information to promote independent living in “aging-in-place” scenarios. In reality, both sensed and interpreted contexts are often ambiguous, leading to potentially dangerous decisions if not properly handled. Thus, a significant challenge facing the development of realistic and deployable context-aware services for pervasive computing applications is the ability to deal with these ambiguous contexts. In this chapter, the authors discuss a resource optimized quality assured ontology-driven context mediation framework for resource constrained sensor networks based on efficient context-aware data fusion and information theoretic sensor parameter selection for optimal state estimation. It has the ability to represent contexts according to the applications’ ontology and easily composable ontological rules to mediate ambiguous contexts.

Context-Aware Mobile and Wearable Device Interfaces

2015 ◽  
pp. 308-321
Author(s):  
Claas Ahlrichs ◽  
Hendrik Iben ◽  
Michael Lawo
Keyword(s):  
Interaction Design ◽  
Interface Design ◽  
Wearable Computing ◽  
Wearable Devices ◽  
Future Research ◽  
Context Information ◽  
Context Aware ◽  
Knowledge Based ◽  
Input And Output ◽  
Recent Developments

In this chapter, recent research on context-aware mobile and wearable computing is described. Starting from the observation of recent developments on Smartphones and research done in wearable computing, the focus is on possibilities to unobtrusively support the use of mobile and wearable devices. There is the observation that size and form matters when dealing with these devices; multimodality concerning input and output is important and context information can be used to satisfy the requirement of unobtrusiveness. Here, Frameworks as middleware are a means to an end. Starting with an introduction on wearable computing, recent developments of Frameworks for context-aware user interface design are presented, motivating the need for future research on knowledge-based intuitive interaction design.

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