Human adaptive system model development merged with context and emotion information

Recently, the research of processing sensor information has been performed actively. At this time, we need a context recognition manager system that can aware near circumstances and act adaptively, though the same device is used. If a machine could recognize user´s circumstances, it can reduce the failure on working and improve the user´s working ability by using the recognized information. In this paper, we propose a system that is adaptive to a user. After the system perform a predefined action by using merged information with circumstance´s context and user´s emotion, it adapts itself to the change in its surround or user´s emotional response.