Pervasive Computing for Quality of Life Enhancement: 5th International Conference on Smart Homes and Health Telematics, ICOST 2007, Nara, Japan, June 21-23, 2007, Proceedings
In: Lecture Notes in Computer Science Ser. v.4541
Intro -- Title -- Preface -- Organization -- Table of Contents -- Toward a Desirable Relationship of Artificial Objects and the Elderly: From the Standpoint of Engineer and Psychologist Dialogue -- Introduction: The Day Prof. Obinata Asked Me Some Questions -- Objects -- Primitive Relationships Between Objects and Persons -- Relationships Between Objects and the Elderly -- Differences Between Machines and Objects -- Definition of Machine -- Differences Between Machines and Objects: First Discussion -- Differences Between Machines and Objects: Second Discussion -- Differences Between Artificial Objects and Machines and Objects -- Conclusion -- References -- A Framework of Context-Aware Object Recognition for Smart Home -- Introduction -- Problem Statement and Framework -- Object Registration -- Illumination Recognition -- Background Update and Location Candidate -- SIFT Descriptor -- Model Matching Strategy -- Experimental Result -- Results on Illumination Recognition -- Object Recognition -- Limitation of SIFT Descriptor -- Conclusions and Future Work -- References -- A Pervasive Watch-Over System Based on Device, User and Social Awareness -- Introduction -- uEyes: The Concept -- Design of uEyes -- AMUSE Framework -- AMUSE Agents for uEyes -- Agent Behavior for Social Awareness -- Application: A Watching System for Elderly People -- Implementation and Experimental Environment -- Experiments -- Exp.(1): Experiments with Device-Aware and User-Aware Agents -- Exp.(2): Experiments with Social-Aware Agents -- Evaluation -- Conclusion -- A Context-Driven Programming Model for Pervasive Spaces -- Introduction -- Related Work -- The Physical World -- Observing the World with Sensors -- Influencing the World with Actuators -- Inhabiting the World as a User -- The Context-Driven Programming Model for Pervasive Spaces -- Interpreting Sensor Data.