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Fortune, Emma

https://orcid.org/0000-0001-8704-0598

Mayo Clinic

Mayo Clinic

Citations 21

Step Count Validation of a Tri-Axial Accelerometer During Walking and Jogging
Lugade, Vipul , Kaufman, Kenton R. , Fortune, Emma , Morrow, Melissa M. , Kaufman, Kenton R

ASME 2012 Summer Bioengineering Conference, Parts A and B | July 19, 2013 | Volume: No volume available | Issue: No issue available | Pages: 1065-1066

10.1115/sbc2012-80486 Get It

Gait analysis is an important tool in assessing the health and activity levels of patients and regular physical activity has been associated with health improvements in a number of populations. Step counting is one of the most commonly used measures of physical activity [1] and many studies have investigated the use of wearable sensors for step counts [2–4]. Their small size and light weight mean that they may be used in a free living environment and are suitable for home deployment. One of the main issues associated with step counts as a measure of physical activity is that a very high level of accuracy in step detection is needed.