A Multimodal Platform for Database Recording and Elderly People Monitoring
By Hamid Medjahed, Dan Istrate, Jérôme Boudy, Jean-Louis Baldinger, Bernadette Dorizzi, Imad Belfeki, Vinicius Martins, F. Steenkeste, Rodrigo Varejão Andreão. 2008
13 citations recorded by the source corpus.
This paper describes a new platform for monitoring elderly people living alone. An architecture is proposed that 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
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
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Citations in the corpus
- A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, background): “Second, there are several datasets available for training (such as, UCI repository [75], HOMECAD[77], UTD-MHAD[51] and Aruba dataset [78], etc.), while some work collected data from concrete scenarios with some limited volunteering actors which makes the fusion accuracy unconvincing.”
- A pervasive multi-sensor data fusion for smart home healthcare monitoring (2011, methodology): “• A wearable device called RFpat [ 8 ] that can measure physiological data like ambulatory pulse heart rate, detect posture (standing/ sitting and laying), fall of the equipped person and his activity rate.”