11th EAI International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Examining Methods to Estimate Static Body Sway from the Kinect V2.0 Skeletal Data: Implications for Clinical Rehabilitation

  • @INPROCEEDINGS{10.1145/3154862.3154874,
        author={Anup Mishra and Marjorie Skubic and Bradley Willis and Trent Guess and Swithin Razu and Carmen Abbott and Aaron Gray},
        title={Examining Methods to Estimate Static Body Sway from the Kinect V2.0 Skeletal Data: Implications for Clinical Rehabilitation},
        proceedings={11th EAI International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={ACM},
        proceedings_a={PERVASIVEHEALTH},
        year={2018},
        month={1},
        keywords={kinect v20 total body center of mass body sway rehabilitation},
        doi={10.1145/3154862.3154874}
    }
    
  • Anup Mishra
    Marjorie Skubic
    Bradley Willis
    Trent Guess
    Swithin Razu
    Carmen Abbott
    Aaron Gray
    Year: 2018
    Examining Methods to Estimate Static Body Sway from the Kinect V2.0 Skeletal Data: Implications for Clinical Rehabilitation
    PERVASIVEHEALTH
    ACM
    DOI: 10.1145/3154862.3154874
Anup Mishra1, Marjorie Skubic,*, Bradley Willis1, Trent Guess1, Swithin Razu1, Carmen Abbott1, Aaron Gray1
  • 1: University of Missouri
*Contact email: skubicm@missouri.edu

Abstract

Static body sway is a clinically relevant activity parameter, used to assess postural balance, across a wide spectrum of patient populations. We have examined static body sway using two different segmental total body center of mass (TBCM) estimation methods, the Generator of Body Data III (GEBOD) and Winter’s method, using Microsoft Kinect skeletal data. Twenty subjects were recruited through an IRB study and asked to perform three trials of single leg stance with their eyes closed, with positioning based on the Balance Error Scoring System. A force plate system was used to estimate the ground truth data for comparison. Results show that both GEBOD and Winter’s method performed similar in estimating anterior-posterior (AP) and medio-lateral (ML) body sway. The results also show highly correlated measurements by the two TBCM estimation methods when compared with the force plate system (mean RMSE value of 10.18 mm square in AP and 8.00 mm square in ML direction). Ordinary Least Square (OLS) linear regressions were performed to improve body sway results obtained from the two methods. Improved sway range values obtained from the simple regression method was able to reduce the estimation errors by 50% (~ 10 mm in both AP and ML body sway). The two static body sway estimation methods were found reliable for obtaining body sway. Thus, the inexpensive, portable Kinect V2.0 can be used for clinical measurements.