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Active and passive mobile sensing has garnered much attention in recent years. In this paper, we focus on chronic pain measurement and management as a case application to exemplify the state of the art. We present a consolidated discussion on the leveraging of various sensing modalities along with modular server-side and on-device architectures required for this task. Modalities included are: activity...
With the availability of various publicly available and personal sensors, recording and profiling of activities of daily living (ADL) is becoming a reality. The sensors are omnipresent — in smartphones, smartwatches, and smartglasses and even in the environment around us in the form of peer smartphones or even infrastructure sensors such as bluetooth low energy beacons. However, there are various...
Mobile applications to support physical activity have grown rapidly in the past years. Many users are attracted by the promised support for a healthier lifestyle. Still, the long-term effect of these applications can be doubt. A lack of theoretical foundation from behavior change theory is seen as a root cause for the lack of sustainable effects of these applications. Little is known about design...
Sensor-based intelligent and ubiquitous systems are important in the context of "Intelligent Infrastructures''. In this scenario, healthcare is one area where sensors and mobile platforms will become more useful and the application must have the capability of analysing the data feeds from sensors to extract useful meanings. Various data analytics methods such as data-mining techniques or stream...
With the challenge of healthcare for the increasing number of elderly people and the prevalence of chronic disease, research has been carried out on the development of assistive technologies and devices. This paper proposes a framework of context-aware physiological analysis for remote and efficient healthcare. With the relationship between the physiological function and daily activities, the online...
As computing devices become more pervasive, our daily activities start generating a vast amount of information that could be exploited for helping us better understand ourselves. In this paper we present a system that uses easily available data correlated into a story-based representation aimed at providing users with a better understanding of their lifestyles. While this is still work in progress,...
Monitoring activities of daily living is one of the key functionalities expected from a Smart Living environment providing independent living services for elderly people. Simple state-change sensors have been considered to be a promising sensing technique to observe the environment and consequently provide the data required to form the basis to infer high-level behaviours. From a data analysis point...
Recent advances in wireless technology, sensors and portable devices offer interesting opportunities to enable ubiquitous assistance to individuals in need of prompt help. Providing healthcare services to mobile users, such as, patients, elders, or potential drug abusers, is a rather challenging task. Novel middleware-level supports are required to integrate sensor infrastructures capable of detecting...
In this paper, we describe an extensible toolkit for creating, testing and executing context-aware mobile applications. Our aim is to facilitate research in wearable & ubiquitous computing by providing an experimental framework into which novel sensors, networking mechanisms, web services and algorithms can easily be added and explored. The paper describes the toolkit, an SDK used to create plug-ins,...
Ubiquitous and pervasive applications are aware of the context of the used resources. This class of application can benefit from mechanisms to discover resources (devices and sensors) that meet their requirements and mechanisms to monitor the state and provide access to the functionalities of these resources. We present an architecture that includes two essential services to compose the supporting...
Recent research on remote health monitoring solutions has focused largely on developing context-dependent, streamprocessing capabilities on a personal mobile hub (typically, a cellphone) for energy-efficient transmission of data collected from a set of body-worn medical sensors. In this paper, we argue that commercial deployment of such pervasive wellness monitoring will require the extension of such...
We present a decision-level data fusion technique for monitoring and reporting critical health conditions of a hypertensive patient at home. Variables associated to the patient (physiological and behavioral) and to the living environment are considered in the solution, contributing to improve the confidence on the system outputs. In the paper, we model the problem variables as fuzzy, aiming to capture...
Among the central challenges of Ambient Assisted Living systems are the autonomous and reliable recognition of the assisted person's current situation and the proactive offering and rendering of adequate assistance services. In the context of emergency support, such situations may be acute emergency situations or long-term deviations from typical behavior that will result in emergency situations in...
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