Using Smart Socks to Detect Step-count at Slow Walking Speeds in Healthy Adults

Abstract

We examined the accuracy of Smart Socks – a device that measures foot pressure during gait for detecting step-count across various walking speeds. Thirty-six participants (17 men; 19 women) wore Smart Socks (Sock), a pedometer (Pedometer), and a smartphone with a commercially available Phone Application (Phone) pedometer to measure step-count during 3-min of treadmill or over-ground walking at 1.3, 2.2, 3.0, 3.8, and 4.7 km/h. Steps were compared to a gold-standard tally-counter (Count), collected by independent assessors. All devices (Sock, Pedometer, and Phone) underestimated step-count when compared to Count at 1.3 km/h (p<0.05); however, Sock (27±18%) demonstrated a lower percent error compared to Phone (40±28%) and Pedometer (98±5%) (both p<0.01). At 2.2 km/h, Sock was not different compared to Count (Sock: 213±39; Count: 229±24 steps, p=0.25); however, both Phone (271±55 steps) and Pedometer (169±166 steps) were different compared to Count (p<0.05). At 3.0 km/h, both Sock (258±30 steps) and Pedometer (254±45 steps) were similar to Count (267±22 steps) (p>0.05); however, Phone (291±28 steps) overestimated step-count (p<0.01). All devices (Sock, Pedometer, and Phone) were similar to Count at 3.8, and 4.7 km/h (p>0.05). These findings demonstrate that Smart Socks are more accurate than pedometers used in the present study for detecting step-count during treadmill or over-ground ambulation at slower walking speeds.

Key words

step-count - walking speed - ambulation - socks - pedometer

• References

• 1 Bassett DR, Ainsworth BE, Leggett SR, Mathien CA, Main JA, Hunter DC, Duncan GE. Accuracy of five electronic pedometers for measuring distance walked. Med Sci Sports Exerc 1996; 28: 1071-1077
• 2 Colley RC, Barnes JD, Leblanc AG, Borghese M, Boyer C, Tremblay MS. Validity of the SC-StepMX pedometer during treadmill walking and running. Appl Physiol Nutr Metab 2013; 38: 520-524
• 3 Crouter SE, Schneider PL, Karabulut M, Bassett Jr. DR. Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Med Sci Sports Exerc 2003; 32: 1455-1460
• 4 Feito Y, Bassett DR, Thompson DL. Evaluation of activity monitors in controlled and free-living environments. Med Sci Sports Exerc 2012; 44: 733-741
• 5 Grimm EK, Swartz AM, Hart T, Miller NE, Strath SJ. Comparison of the IPAQ-Short Form and accelerometry predictions of physical activity in older adults. J Aging Phys Act 2012; 20: 64-79
• 6 Haeuber E, Shaughnessy M, Forrester LW, Coleman KL, Macko RF. Accelerometer monitoring of home- and community-based ambulatory activity after stroke. Arch Phys Med Rehabil 2004; 85: 1997-2001
• 7 Harris TJ, Owen CG, Victor CR, Adams R, Cook DG. What factors are associated with physical activity in older people, assessed objectively by accelerometry?. Br J Sports Med 2008; 43: 442-450
• 8 Harriss DJ, Macsween A, Atkinson G. Standards for ethics in sport and exercise science research: 2018 update. Int J Sports Med 2017; 38: 1126-1131
• 9 Jehn M, Schmidt-Trucksäss A, Schuster T, Hanssen H, Halle M, Köhler F. Pedometer accuracy in patients with chronic heart failure. Int J Sports Med 2010; 31: 186-191
• 10 Le Masurier GC, Lee SM, Tudor-Locke C. Motion sensor accuracy under controlled and free-living conditions. Med Sci Sports Exerc 2004; 36: 905-910
• 11 Levine GN, Bates ER, Bittl JA, Brindis RG, Fihn SD, Fleisher LA, Granger CB, Lange RA, Mack MJ, Mauri L, Mehran R, Mukherjee D, Newby LK, O'Gara PT, Sabatine MS, Smith PK, Smith Jr. SC. 2016 ACC/AHA guideline focused update on duration of dual antiplatelet therapy in patients with coronary artery disease: A report of the American College of Cardiology/American Heart Association task force on clinical practice guidelines: An update of the 2011 ACCF/AHA/SCAI guideline for percutaneous coronary intervention, 2011 ACCF/AHA guideline for coronary artery bypass graft surgery, 2012 ACC/AHA/ACP/AATS/PCNA/SCAI/STS guideline for the diagnosis and management of patients with stable ischemic heart disease, 2013 ACCF/AHA guideline for the management of st-elevation myocardial infarction, 2014 AHA/ACC guideline for the management of patients with non-st-elevation acute coronary syndromes, and 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery. Circulation 2016; 134: e123-e155
• 12 Lu J, Zhang T, Hu F, Wu Y, Bao K. Measuring activities and counting steps with the SmartSocks - an unobtrusive and accurate methods. Global Humanitarian Technology Conference 2014; 694-698
• 13 Macko RF, Haeuber E, Shaughnessy M, Coleman KL, Boone DA, Smith GV, Soilver KH. Microprocessor-based ambulatory activity monitoring in stroke patients. Med Sci Sports Exerc 2002; 34: 394-399
• 14 Studenski S, Perera S, Kushang P, Caterina R, Faulkner K, Inzitari M, Branch J, Chandler J, Cawthon P, Connor EB, Visser NMM, CKritchevsky S, Badinelli S, Harris TB, Newman AB, Cauley J, Ferrucci L, Guralnik J. Gait speed and survival in older adults. JAMA 2011; 305: 50-58
• 15 Vogelmeier CF, Criner GJ, Martinez FJ, Anzueto A, Barnes PJ, Bourbeau J, Celli BR, Chen R, Decramer M, Fabbri LM, Frith P, Halpin DM, Lopez Varela MV, Nishimura M, Roche N, Rodriguez-Roisin R, Sin DD, Singh D, Stockley R, Vestbo J, Wedzicha JA, Agusti A. Global strategy for the diagnosis, management and prevention of chronic obstructive lung disease 2017 report: GOLD executive summary. Respirology 2017; 22: 575-601
• 16 Warburton DE, Nicol CW, Bredin SS. Health benefits of physical activity: the evidence. CMAJ 2006; 174: 801-809
• 17 Webber SC, Magill SM, Schafer JL, Wilson KC. GT3X+ accelerometer, Yamax pedometer and SC-StepMX pedometer step count accuracy in community-dwelling older adults. J Aging Phys Act 2014; 22: 334-341
• 18 Yang CC, Hsu YL. A review of accelerometry-based wearable motion detectors for physical activity monitoring. Sensors 2010; 10: 7772-7788