Ten lectures on wavelets
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
Unpacking "privacy" for a networked world
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Enabling Location-Aware Pervasive Computing Applications for the Edlerly
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
An architecture for privacy-sensitive ubiquitous computing
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Minimal-impact audio-based personal archives
Proceedings of the the 1st ACM workshop on Continuous archival and retrieval of personal experiences
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Privacy protecting data collection in media spaces
Proceedings of the 12th annual ACM international conference on Multimedia
Personal privacy through understanding and action: five pitfalls for designers
Personal and Ubiquitous Computing
Enabling Video Privacy through Computer Vision
IEEE Security and Privacy
Dynamic privacy management: a plug-in service for the middleware in pervasive computing
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
A Probabilistic Approach to the Anxious Home for Activity Monitoring
COMPSAC '05 Proceedings of the 29th Annual International Computer Software and Applications Conference - Volume 01
Scrambling for Video Surveillance with Privacy
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Assistive intelligent environments for automatic health monitoring
Assistive intelligent environments for automatic health monitoring
Multi-modal emotive computing in a smart house environment
Pervasive and Mobile Computing
Online audio background determination for complex audio environments
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Design for privacy in ubiquitous computing environments
ECSCW'93 Proceedings of the third conference on European Conference on Computer-Supported Cooperative Work
Hierarchical classification of audio data for archiving and retrieving
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Privacy and the access of information in a smart house environment
Proceedings of the 15th international conference on Multimedia
Bathroom activity monitoring based on sound
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Privacy sensitive location information systems in smart buildings
SPC'06 Proceedings of the Third international conference on Security in Pervasive Computing
Privacy-Aware Web Services in Smart Homes
ICOST '09 Proceedings of the 7th International Conference on Smart Homes and Health Telematics: Ambient Assistive Health and Wellness Management in the Heart of the City
A framework for the design of privacy preserving pervasive healthcare
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Toward risk assessment as a service in cloud environments
HotCloud'10 Proceedings of the 2nd USENIX conference on Hot topics in cloud computing
Adaptive transformation for robust privacy protection in video surveillance
Advances in Multimedia
Privacy context model for dynamic privacy adaptation in ubiquitous computing
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
An efficient privacy preserving Pub-Sub system for ubiquitous computing
International Journal of Ad Hoc and Ubiquitous Computing
Multimedia Tools and Applications
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Surveillance applications in private environments such as smart houses require a privacy management policy if such systems are to be accepted by the occupants of the environment. This is due to the invasive nature of surveillance, and the private nature of the home. In this article, we propose a framework for dynamically altering the privacy policy applied to the monitoring of a smart house based on the situation within the environment. Initially the situation, or context, within the environment is determined; we identify several factors for determining environmental context, and propose methods to quantify the context using audio and binary sensor data. The context is then mapped to an appropriate privacy policy, which is implemented by applying data hiding techniques to control access to data gathered from various information sources. The significance of this work lies in the examination of privacy issues related to assisted-living smart house environments. A single privacy policy in such applications would be either too restrictive for an observer, for example, a carer, or too invasive for the occupants. We address this by proposing a dynamic method, with the aim of decreasing the invasiveness of the technology, while retaining the purpose of the system.