New horizons in sensor development
- PMID: 22157771
- PMCID: PMC3245518
- DOI: 10.1249/MSS.0b013e3182399c7d
New horizons in sensor development
Abstract
Background: Accelerometry and other sensing technologies are important tools for physical activity measurement. Engineering advances have allowed developers to transform clunky, uncomfortable, and conspicuous monitors into relatively small, ergonomic, and convenient research tools. New devices can be used to collect data on overall physical activity and, in some cases, posture, physiological state, and location, for many days or weeks from subjects during their everyday lives. In this review article, we identify emerging trends in several types of monitoring technologies and gaps in the current state of knowledge.
Best practices: The only certainty about the future of activity-sensing technologies is that researchers must anticipate and plan for change. We propose a set of best practices that may accelerate adoption of new devices and increase the likelihood that data being collected and used today will be compatible with new data sets and methods likely to appear on the horizon.
Future directions: We describe several technology-driven trends, ranging from continued miniaturization of devices that provide gross summary information about activity levels and energy expenditure to new devices that provide highly detailed information about the specific type, amount, and location of physical activity. Some devices will take advantage of consumer technologies, such as mobile phones, to detect and respond to physical activity in real time, creating new opportunities in measurement, remote compliance monitoring, data-driven discovery, and intervention.
Conflict of interest statement
Stephen Intille, Jonathan Lester, Glen Duncan – None. James Sallis – Stockholder of Santech. The ideas presented here do not constitute endorsement by the ACSM.
References
-
- Achten J, Jeukendrup AE. Heart rate monitoring: Applications and limitations. Sports Med. 2003;33(7):517–538. - PubMed
-
- Amft O, Tröster G. Recognition of dietary activity events using on-body sensors. Artif Intel Med. 2008;42(2):121–136. - PubMed
-
- Bao L, Intille SS. Activity recognition from user-annotated acceleration data. In: Ferscha A, Mattern F, editors. Proc of PERVASIVE. Berlin: Springer-Verlag; 2004. pp. 1–17. Vol. LNCS 3001.
-
- Bonami AG, Goris AHC, Yin B, Westerterp KR. Detection of type, duration, and intensity of physical activity using an accelerometer. Med Sci Sports Exerc. 2009;41(9):1770–1777. - PubMed
-
- Brownson RC, Hoehner CM, Brennan LK, Cook RA, Elliott MB, McMullen KM. Reliability of two instruments for auditing the environment for physical activity. J Phys Act Health. 2004;1:189–207.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
