A non-exoskeleton optoelectric wrist goniometer

Chiuhsiang Lin, Joseph H. Goldberg, Andris Freivalds

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Highly repetitive wrist motion and extreme wrist posture can result in carpal tunnel syndrome. To study the association between wrist motion and posture and carpal tunnel syndrome, a hand/wrist goniometer is indispensable. This paper describes the development of an optoelectric goniometer. The goniometer utilized a fluid-based absolute angle sensor to transduce wrist posture into electrical signals. A geometric relationship and 6 nonlinear equations were used to calculate relative wrist angles. The result was an easy-to-use and non-exoskeleton hand/wrist goniometer which measures radial-ulnar deviation and flexion-extension of the wrist. Validation results showed that the average error of the absolute angle transducer was 4.5% of the full scale output (180°). Correlation between the output from the sensor and the standard motion was 0.977. Repeatability tests showed that the variation was 6.02% of the input value. The resolution of the sensor was 0.036°.

Original languageEnglish (US)
Pages (from-to)233-242
Number of pages10
JournalInternational Journal of Industrial Ergonomics
Volume11
Issue number3
DOIs
StatePublished - Jun 1993

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'A non-exoskeleton optoelectric wrist goniometer'. Together they form a unique fingerprint.

Cite this