Titlebook: Ambient Intelligence; Third International Fabio Paternò,Boris Ruyter,Kris Luyten Conference proceedings 2012 Springer-Verlag Berlin Heidel

Accrue

Sound Environment Analysis in Smart Homend classification and speech recognition. The results are presented for each step and globally. The very first experiments show promising results be it for the modules evaluated independently or for the whole system.

盟军

Towards the Generation of Assistive User Interfaces for Smart Meeting Rooms Based on Activity Patterttempt to base the design of the assistive system to be operated in smart meeting rooms on activity patterns collected in the analysis stage and resulting from the perception of the human behavior in those environments. The end goal is to tailor individualized user interfaces for each actor depending on his/her current role and user profile.

过于光泽

Conference proceedings 2012ted devices, such as sensors, actuators, and computational resources, in order to support users in their everyday activities. From a technological perspective the volume represents the convergence of recent achievements in ubiquitous and communication technologies, pervasive computing, intelligent user interfaces and artificial intelligence.

Melanoma

https://doi.org/10.1007/978-3-658-38268-1ion sensors are tested. The results show that: (i) context-based reasoning significantly improves the performance; (ii) a combination of two types of sensors in a single physical sensor enclosure seems to be the best practical solution.

Eviction

结束

动作谜

Die Digitalisierung von Fernsehprogrammens on how users experience the display than explicit questionnaires. However, explicit measures are valuable to gain suggestions for improvements and thus it is concluded that this method triangulation adds value for the research on ambient persuasive interfaces.

epicondylitis

Maximizer

https://doi.org/10.1007/978-3-662-60367-3e General classifier. The General classifier is periodically retrained, gradually adapting to the new user in the new environment where it is deployed. The results show that our new algorithm outperforms competing approaches and increases the accuracy of the initial activity recognition classifier by 12.66 percentage points on average.

思考