Referenced Items are not available for this document.
This paper presents a multi-sensor system for the detection of people falls in the home environment. Two kinds of devices are used: a MEMS wearable wireless accelerometer with onboard fall detection algorithms and a 3D Time-of-Flight camera. An embedded computing system receives the possible fall alarm data from the two sub-sensory systems and their associated level of confidence. The computing module hosts a data fusion software to operate the validation and correlation among the two subsystems delivered data in order to rise overall system efficiency performance with respect to each single sensor sub-system.
Published in:
Sensors, 2010 IEEE
Date of Conference: 1-4 Nov. 2010
- Page(s):
- 1016 - 1019
- ISSN :
- 1930-0395
- E-ISBN :
- 978-1-4244-8168-2
- Print ISBN:
- 978-1-4244-8170-5
- INSPEC Accession Number:
- 11831656
- Conference Location :
- Kona, HI
- Digital Object Identifier :
- 10.1109/ICSENS.2010.5690746
- Product Type:
- Conference Publications
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