المنشورات و المؤلفات
The use of social networks has grown exponentially in recent years. The large
amount of data available in these networks can be effectively utilized in many machine
learning applications. This paper proposes a framework of an emotion recognition...
With the advent of future generation mobile communication technologies (5G), there is the potential to allow mobile users to have access to big data processing over different clouds and networks. The increasing numbers of mobile users come with...
Context-aware recommendations offer the potential of exploiting social contents and utilize related tags and rating information to personalize the search for content considering a given context.Recommendation systems tackle the problem of trying to...
The availability and pervasive use of smart mobile devices makes it easy to upload videos and photos to the social websites and label them with any arbitrary tags from anywhere and anytime. This paper exploits the social tagging information and...
Users of ambient intelligence environments have been overwhelmed by the huge numbers of social media available, thus identifying the social media tailored to the user’s need is becoming an important question to be discussed. This paper adapts the...
Abstract These days, there are huge amount of multimedia contents that are available for
users. Selecting and exploiting favorite contents from such online available collections is a
big challenge for users as well as smart engines due to the...
With an ever-increasing accessibility to different multimedia contents in real-time, it is difficult for users to identify the proper resources from such a vast number of choices. By utilizing the user’s context while consuming diverse multimedia...
Due to the rapid increase of social network resources and services, Internet users are now overwhelmed by the vast quantity of social media available. By utilizing the user’s context while consuming diverse multimedia contents, we can identify...
Body sensor network (BSN) has played a key role in the rapid advancement of e-Health applications. If it is properly designed, a BSN can act as an ambient intelligent environment by providing us not only time critical human body information but also...
Body sensor networks (BSN) can capture physical phenomena from a human body, contextual information from the environment and high level events of a person. Associating contextual information and events with the captured raw sensory data can serve as...
Nowadays, technology advances accelerate the quality and type of services
provided for health care and especially for monitoring health conditions. Sensors have
become more powerful to sense different physiological signs and have the ability to be...
In this paper, we highlight the problem of measuring hand steadiness for the patients with Parkinson's Disease or those who need a rehabilitation program such as brain post-stroke patients. Using the accelerometer, we measure the accelerations...
In this paper, we introduce a Health signs and Activity recognition MONitoring framework (Hamon). Hamon, of German origin meaning a home protector, is designed to be an enabling prototype for health monitoring applications. As one of the possible...
Biofeedback is an emerging technology being used as a legitimate medical technique for several medical issues such as heart problems, pain, stress, depression, among others. This paper introduces the Multi-Modal Intelligent System for Biofeedback...
In this paper, we propose a biofeedback system that employs a Cloud-Oriented Architecture (COA) for the dissemination of biofeedback information and services. The architecture provides the software infrastructure to build biofeedback applications...
Recommender systems are powerful tools that support the user in their quest to find the multimedia they are looking for. Such systems present multimedia contents or provide recommendations by taking into consideration two dimensions of inputs:...
Given today's mobile and smart devices, and the ability to access different multimedia contents in real-time, it is difficult for users to find the right multimedia content from such a large number of choices. Users also consume diverse multimedia...
Ambient intelligence environments are technologically augmented surroundings that aim to provide personalized services to the users based on their context. Identifying these services for the users has become an increasingly challenging task. The...
In recent years, users of ambient intelligence environments have been overwhelmed by the huge numbers of social media available. Consequentially, users have trouble finding social media suited to their needs. To help users in ambient environment get...
With the rapid increase of social media resources and services, Internet users are overwhelmed by the vast quantity of social media available. Most recommender systems personalize multimedia content to the users by analyzing two main dimensions of...