Affiliation:
1. Department of Kinesiology and Health Promotion, University of Kentucky, 217 Seaton Building, Lexington, KY 40506-0219, USA.
2. Department of Exercise and Sport Science, University of Utah, Salt Lake City, UT 84105, USA.
Abstract
The purpose of this study was to conduct a comprehensive evaluation of the effect that walking speed, gender, leg length, motion sensor tilt angle, brand, and placement have on motion sensor step-counting error. Fifty-nine participants performed treadmill walking trials at 6 speeds while wearing 5 motion sensor brands placed on the anterior (Digiwalker, DW; Walk4Life, WFL; New Lifestyles, NL; Omron, OM), midaxillary (DW; WFL; NL; ActiGraph, AG), and posterior (DW, WFL, NL) aspects of the waistline. The anterior-placed NL and midaxillary-placed AG were the most accurate motion sensors. Motion sensor step-count error tended to decrease at faster walking speeds, with lesser tilt angles, and with an anterior waistline placement. Gender and leg length had no effect on motion sensor step-count error. We conclude that the NL and AG yielded the most accurate step counts at a range of walking speeds in individuals with different physical characteristics.
Publisher
Canadian Science Publishing
Subject
Physiology (medical),Nutrition and Dietetics,Physiology,General Medicine,Endocrinology, Diabetes and Metabolism
Cited by
18 articles.
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