Authors:
Hamid Medjahed
1
;
Dan Istrate
1
;
Jerome Boudy
2
;
Jean-Louis Baldinger
2
;
Bernadette Dorizzi
2
;
Imad Belfeki
2
;
Vinicius Martins
2
;
François Steenkeste
3
and
Rodrigo Andreao
4
Affiliations:
1
RMSE, ESIGETEL, France
;
2
EPH,INT, France
;
3
U558, INSERM, France
;
4
Universidade Federal do Espirito Santo, Brazil
Keyword(s):
Medical Signal Acquisition, Biomedical multimodal database, Healthcare, Wearable Sensors and Systems, Acoustic Signal Processing, Telemedicine.
Related
Ontology
Subjects/Areas/Topics:
Acoustic Signal Processing
;
Applications and Services
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Devices
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
;
Wearable Sensors and Systems
Abstract:
This paper describes a new platform for monitoring elderly people living alone. An architecture is proposed, it includes three subsystems, with various types of sensors for different sensing modalities incorporated into a smart house. The originality of this system is the combination and the synchronization of three different televigilance modalities for acquiring and recording data. The paper focuses on the acquisition step of the system, usage and point out possibilities for future work.