Paper Info
Title
Calibration And Evaluation Of A Force Measurement Glove For Field-Based Monitoring Of Manual Wheelchair Users
Abstract
Manual wheelchair users exhibit pain related to repetitive and demanding shoulder activities of daily living. Wearable sensing systems like force measurement gloves can provide insights about upper extremity loading in the community and home environments. We calibrated and evaluated the accuracy of a novel force measurement glove with a body-worn data logger. The device was calibrated with loads of 0-800 N applied to the palmar surface of the glove. Calibration conditions were tested that varied the stiffness of the material in the glove, the temperature, and the curvature of the force applicator. Calibration equations from each condition were evaluated by comparing the glove's force prediction with the output of an instrumented wheelchair rim during propulsion and weight relief exercises. The force measurement glove detected 72.7% of 355 propulsion peaks and had a strong linear correlation with the instrumented rim force measurements (r=0.80). The most accurate calibration equation was constructed using data from all conditions, with an RMS force measurement error of 64.7 N and 31.7 N for weight relief exercise and propulsion, respectively. The force measurement glove design described here may serve as a useful tool for detection of loading events and relative magnitude changes.
Year
DOI
Venue
2020
10.1109/BIBE50027.2020.00170
2020 IEEE 20TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE 2020)
Keywords
DocType
ISSN
wheelchair, spinal cord injury, force glove, kinetics
Conference
2471-7819
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Anthony Anderson100.34
Alexander W. Hooke200.34
Chandrasekaran Jayaraman300.34
Adam Burns400.34
Emma Fortune500.34
Jacob J. Sosnoff600.68
Melissa M. Morrow700.34