This is an exciting opportunity to support the FARSEEING project and work for the University of Manchester. For further details please follow the link: https://www.jobs.manchester.ac.uk/DisplayJob.aspx?pageno=0&htmlpage=JobDisplay&Jobid=20154&txtKeywords=Fall&chkCategory =962&lstRegion=&chkSalary=&chksubject=&optMatch=Any&clientid =73&AttachedSAF=0
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The latest information from the FARSEEING project
Smartphone-based solutions for fall detection and prevention: the FARSEEING approach
The FARSEEING project starts to publish its work in this article by S. Mellone, C. Tacconi, L. Schwickert, J. Klenk, C. Becker and L. Chiari.
FARSEEING partners at the University of Manchester devise ‘magic carpet’ to detect falls
Researchers and engineers (including FARSEEING’s Professor Chris Todd) at the University of Manchester have devised a mesh of optical fibres that can sit beneath a carpet that has the potential to detect or even predict falls.
Proposal for a multiphase fall model based on real-world fall recordings with body-fixed sensors
FARSEEING work from Work Package 6 is published in Zeitschrift für Gerontologie und Geriatrie by:C. Becker, L. Schwickert, S. Mellone, F. Bagalà, L. Chiari, J.L. Helbostad, W. Zijlstra, K. Aminian, A. Bourke, C. Todd, S. Bandinelli, N. Kerse, J. Klenk