The active badge location system
ACM Transactions on Information Systems (TOIS)
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Machine Learning
Emotion recognition from physiological signals using wireless sensors for presence technologies
Cognition, Technology and Work
An architecture based on emotions for growing up artefacts
AIC'05 Proceedings of the 5th WSEAS International Conference on Applied Informatics and Communications
Context-Aware Computing Applications
WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
| Hi-index | 0.00 |
The development of IT has changed not only computer techniques, but also human life and the environment. It provides us with more and more chances to interact with computers. While we feel much unease while communicating with computers, from device-centered automatic solutions, human emotion are considered as an intelligent solution has been investigated continuously. Skillfully dealing with emotions is important in realizing more natural communication between computers and human being. According to this idea, the importance of emotional technology has been raised. For investigating human emotion accurately, however a technique that is able to recognize data comprehensively, including various and complex user context data, the condition of the user space, and changes to this space, are in demand. Additionally, research on sensors which recognize various environments and studies of reasoning algorithms are necessary. In particular, research related to standard platforms and storage techniques for the recognition, reasoning, expression, and similar areas are necessary for extracting different personal attributes of variables such as gender, age, birth area, and race. This paper outlines the service platform design for affective lighting system that can determine the emotional condition of a user and supply light adequate to it after adaptively recognizing a user's physiological response as well as the space in which a user is active.