Theme Issue on ``Sensor-driven Computing and Applications for Ambient Intelligence''
Personal and Ubiquitous Computing, 16 (7):
777-779 (October 2012)DOI: 10.1007/s00779-011-0452-7
Abstract
Ambient Intelligence (AmI) is essentially a sensor-driven, user-centric computing and application paradigm. It represents a vision of a world of digitally augmented physical environment where sensors are embedded ubiquitously and transparently into everyday objects and living spaces, to enable fine-grain capture of user and ambient context information that provides the basis of intelligence for higher-order cognitive systems, i.e., systems that can perceive, reason, learn, and react intelligently to their environments. Sensors provide the important bridge between the physical world and the computing systems for AmI applications. Through a myriad of sensing modalities, information about the state of the users, objects they interacted with, activities they engaged in, and their surroundings, can be acquired and translated to contextual knowledge for 'cognitizing' computing systems, making them ever sensitive and responsive to the needs and situation of the humans under their support or care. This theme issue is organized to showcase recent research results in the field of sensor-driven computing and innovative sensor-driven applications for ambient intelligence. The accepted papers have been organized into four categories. The first category comprises of four papers focusing on different aspects of context management. The second category comprises of three papers focusing on activity recognition. The third category comprises of two papers focusing on enabling/exploiting location awareness in wireless sensor networks. Finally, the fourth category comprises of one invited paper focusing on natural interaction.
