Non-speech environmental sound identification for surveillance using self-organizing-maps
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Human Distress Sound Analysis and Characterization Using Advanced Classification Techniques
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
The evaluation of EEG response to photic stimulation in normal and diseased subjects
Computers in Biology and Medicine
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
Fast track article: Assessing everyday life behavioral rhythms for the older generation
Pervasive and Mobile Computing
Automatic detection system for cough sounds as a symptom of abnormal health condition
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Non-speech environmental sound identification for surveillance using Self-Organizing-Maps
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
A multimodal database for a home remote medical care application
ICMB'08 Proceedings of the 1st international conference on Medical biometrics
Survey on contemporary remote surveillance systems for public safety
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Web2OHS: a Web2.0-based omnibearing homecare system
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Heterogeneous multi-sensor fusion based on an evidential network for fall detection
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
Audio based solutions for detecting intruders in wild areas
Signal Processing
Robust sounds of activities of daily living classification in two-channel audio-based telemonitoring
International Journal of Telemedicine and Applications
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Today, the growth of the aging population in Europe needs an increasing number of health care professionals and facilities for aged persons. Medical telemonitoring at home (and, more generally, telemedicine) improves the patient's comfort and reduces hospitalization costs. Using sound surveillance as an alternative solution to video telemonitoring, this paper deals with the detection and classification of alarming sounds in a noisy environment. The proposed sound analysis system can detect distress or everyday sounds everywhere in the monitored apartment, and is connected to classical medical telemonitoring sensors through a data fusion process. The sound analysis system is divided in two stages: sound detection and classification. The first analysis stage (sound detection) must extract significant sounds from a continuous signal flow. A new detection algorithm based on discrete wavelet transform is proposed in this paper, which leads to accurate results when applied to nonstationary signals (such as impulsive sounds). The algorithm presented in this paper was evaluated in a noisy environment and is favorably compared to the state of the art algorithms in the field. The second stage of the system is sound classification, which uses a statistical approach to identify unknown sounds. A statistical study was done to find out the most discriminant acoustical parameters in the input of the classification module. New wavelet based parameters, better adapted to noise, are proposed in this paper. The telemonitoring system validation is presented through various real and simulated test sets. The global sound based system leads to a 3% missed alarm rate and could be fused with other medical sensors to improve performance