Towards reliable multimodal sensing in aware environments
- 15 November 2001
- proceedings article
- Published by Association for Computing Machinery (ACM)
Abstract
A prototype system for implementing a reliable sensor network for large scale smart environments is presented. Most applications within any form of smart environments (rooms, offices, homes, etc.) are dependent on reliable who, where, when, and what information of its inhabitants (users). This information can be inferred from different sensors spread throughout the space. However, isolated sensing technologies provide limited information under the varying, dynamic, and long-term scenarios (24/7), that are inherent in applications for intelligent environments. In this paper, we present a prototype system that provides an infrastructure for leveraging the strengths of different sensors and processes used for the interpretation of their collective data. We describe the needs of such systems, propose an architecture to dealwith such multi-modal fusion, and discuss the initial set of sensors and processes used to address such needs.Keywords
This publication has 12 references indexed in Scilit:
- Sequential Monte Carlo fusion of sound and vision for speaker trackingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Active speech source localization by a dual coarse-to-fine searchPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Digital family portraitsPublished by Association for Computing Machinery (ACM) ,2001
- Ubiquitous sensing for smart and aware environmentsIEEE Wireless Communications, 2000
- The KidsRoom: A Perceptually-Based Interactive and Immersive Story EnvironmentPRESENCE: Virtual and Augmented Reality, 1999
- Space-time memoryPublished by Association for Computing Machinery (ACM) ,1999
- Feature-based human face detectionImage and Vision Computing, 1997
- Smart RoomsScientific American, 1996
- Principles and techniques for sensor data fusionSignal Processing, 1993
- Sensor Models and Multisensor IntegrationThe International Journal of Robotics Research, 1988