Automation Intelligence for the Smart Environment

نویسندگان

  • G. Michael Youngblood
  • Edwin O. Heierman
  • Lawrence B. Holder
  • Diane J. Cook
چکیده

Scaling AI algorithms to large problems requires that these algorithms work together to harness their respective strengths. We introduce a method of automatically constructing HHMMs using the output of a sequential data-mining algorithm and sequential prediction algorithm. We present the theory of this technique and demonstrate results using the MavHome intelligent environment.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Incorporating Temporal Reasoning into Activity Recognition for Smart Home Residents

Smart environments rely on artificial intelligence techniques to make sense of the sensor data that is collected in the environment and to use the information for data analysis, prediction, and event automation. In this paper we discuss an important smart environment technology – resident activity recognition. This technology is beneficial for health monitoring of a smart environment resident b...

متن کامل

Inhabitant Guidance of Smart Environments

With the convergence of technologies in artificial intelligence, humancomputer interfaces, and pervasive computing, the idea of a “smart environment” is becoming a reality. While we all would like the benefits of an environment that automates many of our daily tasks, a smart environment that makes the wrong decisions can quickly becoming annoying. In this paper, we describe a simulation tool th...

متن کامل

AVATAR: An Open Source Architecture for Embodied Conversational Agents in Smart Environments

Due to a growing older population, researchers and industry are paying more attention to the needs of this group of people. Ambient Intelligence (AmI) aims to help people in their daily lives, achieving a more natural interaction of users with an electronic home environment. Embodied Conversational Agents (ECAs) arise as a natural interface between humans and AmI. Our contribution is to present...

متن کامل

DoMAIns: Domain-based modeling for Ambient Intelligence

Ambient Intelligence and Smart Home Automation systems are currently emerging as feasible and ready to exploit solutions to support more intelligent features inside future and current homes. Thanks to increased availability of off-the-shelf components and to relatively easy to implement solutions we are experiencing a steady evolution of households, causing an ever-increasing users’ awareness o...

متن کامل

A Qualitative Model of Dynamic Scene Analysis and Interpretation in Ambient Intelligence Systems

Ambient intelligence environments necessitate representing and reasoning about dynamic spatial scenes and configurations. The ability to perform predictive and explanatory analyses of spatial scenes is crucial toward serving a useful intelligent function within such environments. We present a formal qualitative model that combines existing qualitative theories about space with a formal logic-ba...

متن کامل

Modeling Smart Homes for Prediction Algorithms

This paper reviews the goals of the Domoweb project and the solutions adopted to achieve them. As a result we enjoy a great support to develop smart home techniques and solutions. As a consequence of the acquired experiences a Smart home model is proposed as a division of four main categories. In relation with the smart home model, we show the essential features a smart environment prediction a...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005