Preference model assisted activity recognition learning in a smart home environment
- 1 October 2009
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems
- p. 4657-4662
- https://doi.org/10.1109/iros.2009.5353937
Abstract
Reliable recognition of activities from cluttered sensory data is challenging and important for a smart home to enable various activity-aware applications. In addition, understanding a user's preferences and then providing corresponding services is substantial in a smart home environment. Traditionally, activity recognition and preference learning were dealt with separately. In this work, we aim to develop a hybrid system which is the first trial to model the relationship between an activity model and a preference model so that the resultant hybrid model enables a preference model to assist in recovering performance of activity recognition in a dynamic environment. More specifically, on-going activity which a user performs in this work is regarded as high level contexts to assist in building a user's preference model. Based on the learned preference model, the smart home system provides more appropriate services to a user so that the hybrid system can better interact with the user and, more importantly, gain his/her feedback. The feedback is used to detect if there is any change in human behavior or sensor deployment such that the system can adjust the preference model and the activity model in response to the change. Finally, the experimental results confirm the effectiveness of the proposed approach.Keywords
This publication has 8 references indexed in Scilit:
- Improving the recognition of interleaved activitiesPublished by Association for Computing Machinery (ACM) ,2008
- Real world activity recognition with multiple goalsPublished by Association for Computing Machinery (ACM) ,2008
- Automatic analysis of multimodal group actions in meetingsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2005
- Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary SensorsLecture Notes in Computer Science, 2005
- Activity Recognition in the Home Using Simple and Ubiquitous SensorsLecture Notes in Computer Science, 2004
- Layered representations for human activity recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Multi-agent event recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A Bayesian computer vision system for modeling human interactionsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2000