POF Sensing Grid: Signal Analysis to extract Human Motion Characteristics

Patricia Scully, Omar Costilla Reyes, Nabeel Ahmed, John Vaughan, Emma Stanmore, Krikor Ozanyan

Research output: Contribution to conferencePaperpeer-review

Abstract

Low cost standard polymer optical fibre (POF) is incorporated into a standard carpet or rubber mat, enabling unobtrusive collection of longitudinal data from individuals walking or exercising on the mat. We present several data analysis methods applied to distributed sensor mats using POF grids for measuring human motion, including detection of position, locus and motion of a person at any position, using tomographic imaging, and for measuring the balance and changes in centre of mass of a person who is stationary on the mat using analogue null balance methods, and pattern recognition and machine learning classification, to identify different types of walking.
Original languageEnglish
Number of pages4
Publication statusPublished - Sep 2016
Event25th International Conference on Plastic Optical Fibres - Aston University, Birmingham, United Kingdom
Duration: 13 Sep 201615 Sep 2016
http://www.pof2016.uk

Conference

Conference25th International Conference on Plastic Optical Fibres
Abbreviated titlePOF2016
Country/TerritoryUnited Kingdom
CityBirmingham
Period13/09/1615/09/16
Internet address

Fingerprint

Dive into the research topics of 'POF Sensing Grid: Signal Analysis to extract Human Motion Characteristics'. Together they form a unique fingerprint.

Cite this