6th International ICST Conference on Body Area Networks

Research Article

StepFit: A Novel Fitness Evaluation System

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  • @INPROCEEDINGS{10.4108/icst.bodynets.2011.247075,
        author={XIAOYU XU and Digvijay Singh and Maxim Batalin and William Kaiser},
        title={StepFit: A Novel Fitness Evaluation System},
        proceedings={6th International ICST Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2012},
        month={6},
        keywords={harvard step test heart rate fitting fitness index},
        doi={10.4108/icst.bodynets.2011.247075}
    }
    
  • XIAOYU XU
    Digvijay Singh
    Maxim Batalin
    William Kaiser
    Year: 2012
    StepFit: A Novel Fitness Evaluation System
    BODYNETS
    ICST
    DOI: 10.4108/icst.bodynets.2011.247075
XIAOYU XU,*, Digvijay Singh1, Maxim Batalin1, William Kaiser1
  • 1: University of California, Los Angeles
*Contact email: celiaxu@ee.ucla.edu

Abstract

This paper presents StepFit - the first of its kind automated low cost system for fitness evaluation and promotion. The system consists of heart rate and motion sensors, and a computation platform for data aggregation, processing and subject feedback. StepFit automates well known and well validated fitness evaluation protocols, referred to as step tests, by capturing the measurements of the heart rate for fitness evaluation, and motion for ensuring that the exercise intensity is maintained according to the required protocol. The system provides guidance, determines test completion and provides assurance of protocol compliance. Fi- nally, StepFit provides feedback in the form of fitness evaluation based on the acquired data and standard validated models, while at the same time archiving the model relating heart rate response of the individual to the selected step test. The heart rate model is based on clinically validated protocols and is used for physiological response analysis and prediction. This paper presents a successful proof of concept validation of StepFit in evaluation of fitness for multiple subjects and demonstrates applicability to a broad class of related assessment protocols as well as support by many mobile platform choices.