FamTV: An architecture for presence-aware personalized television

SuSSo: Seamless and ubiquitous single sign-on for cloud service continuity across devices

“…Specially, there are remarkable works considering proximity detection using Bluetooth, RFID [16], or natural interaction [17], which are also applicable here. Thus, the integration of this functionality in our generic MD-SSO architecture is straightforward.…”

“…As a suggested extension we consider that the system configuration module can be enhanced in order to provide higher degrees of automation, e.g., by including a prediction component, such as the one in [16], which learns from the user behavior and anticipates his decisions on session transferences. Even, proposals oriented to dynamically adapt to the new environment or device's resources should be addressed, especially in multimedia applications.…”

A Mobile-Programmable Smart Mirror for Ambient IoT Environments

“…Even though the required technology for developing AmI systems through ubiquitous computing is rapidly evolving, its seamless integration with everyday objects in an unobtrusive manner in accordance with the above-mentioned objectives still remains a challenge. Many attempts have been made towards the implementation of smart ambient-aware technologies [7]- [14], with the main focus being on integration of ubiquitous computing with furniture or context-aware rooms. Many of these systems utilise mirrors as smart devices to provide a user-friendly interface allowing intelligent interaction between the object and the user.…”

“…This allows a commonly utilised object to not only have a traditional role of image reflection, but also to process and display information in an intelligent and interactive manner. As such, some studies focus on developing interactive mirror-displays, which present information tailored to the user's personal preferences [5], [14]. Additionally, smart mirrors are often utilised for promoting a healthy lifestyle, as well as controlling household appliances [5], [15]- [17].…”

“…Proposed automatic methods for user recognition include face recognition [5], [11], [17], tag-based identification, biometric data, and personal belongings (e.g., toothbrush) [12]. Moreover, different methods for achieving interaction proposed in the literature include touchbased commands [5], voice commands [14], [15], gestures [18], and physical widgets [12].…”