AdAPT -- A Dynamic Approach for Activity Prediction and Tracking for Ambient Intelligence

Abstract

With recent advancements in supporting fields like embedded systems and Ambient Assisted Living (AAL), intelligent environments are becoming reality. However, instrumenting an environment with a set of sensors and actuators and applying some automation rules alone doesn't make the environment intelligent. Learning and adapting to user behaviors and gaining some basic knowledge about the underlying intention is an essential feature of an intelligent system. Here, we introduce AdAPT, which is an incremental approach for recognizing, predicting and tracking Activities of Daily Living (ADLs) within a smart home infrastructure. Our approach does not make any predefined assumptions about typical activity models but tries to learn and adapt to the user's actual behavior continuously. We focus on designing suitable interaction concepts to support an optimal, continuous and unobtrusive adaption to the user. In this paper, we introduce the AdAPT project, highlight relevant research questions and provide a first description of the proposed system design.

EvA - A Self Adaptable Event-Based Recognition Framework for Three-Dimensional Activity Zones

“…We recorded 24 interactions with the electric kettle, whereby a second person was present during 12 recordings. 1 www.pikkerton.de Is it possible environmental changes, i.e., to determine position changes of devices? Finally, Figure 11 highlights the adaption process when one kitchen appliance is moved to another location in the kitchen.…”

“…The work described in this paper is based on the software and hardware platform used in the AdAPT project [1]. The AdAPT system architecture is based on three dedicated layers:…”

“…However, equipping an environment with a set of sensors and actuators does not make the environment intelligent [1]. In [2] the authors distinguish between the term "Smart Environments", which they define as the "physical infrastructure (sensors, actuators and networks) that supports the system", and "Ambient Intelligence" (AmI), which they define as the "mechanism that rules the behavior of the environment".…”