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Accelerometry-based activity monitors have become the standard objective method for assessing physical activity (PA) in field-based research [1]. They are small, non-invasive, easy-to use, and provide an objective indicator of physical activity over extended periods of time. The main advantage from a research perspective is they provide an objective indicator of physical activity behavior, thereby avoiding common sources of error in subjective measurement (eg, self-report). Because of their storage data capacity, it is possible to monitor behavior over extended periods of time and easy to download the information to a computer for processing. Numerous studies have been published on the reliability and validity of various accelerometry-based physical activity monitors. They have become widely accepted in the field.