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Summary: Detecting Walking Gait Impairment with an Ear-worn Sensor
Louis Atallah, Benny Lo, Guang-Zhong Yang
Department of Computing
Imperial College London
London, UK
{latallah, benlo, gzy}@ doc.ic.ac.uk
Omer Aziz
Department of Biosurgery and Surgical Technology
Imperial College, London
London, UK
o.aziz@ic.ac.uk
Abstract-- This paper investigates an ear worn sensor for the
development of a gait analysis framework. Instead of explicitly
defining gait features that indicate injury or impairment, an
automatic method of feature extraction and selection is
proposed. The proposed framework uses multi-resolution
wavelet analysis and margin based feature selection. It was
validated on three datasets; the first simulating a leg injury,
the second simulating abdominal impairment that could result
from surgery or injury and the third is a dataset collected from
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