Hand motion analysis methods have been providing researchers with motion
investigation initiatives, revealing motion features and mechanisms in both
healthy subjects and patients suffering from hand dysfunctions. Technical
advancements have led to the maturation of motion capturing methods such as
goniometric gloves. In this project, the CyberGlove as a manufactured product
was chosen as a potential tool for the development of a hand function assessment
system that would ultimately distinguish between healthy subjects and patients
suffering from hand dysfunctions.
In this study, the evaluation of the CyberGlove as a feasible clinical tool and its
technical adaptations were done in parallel. The sensor output characteristics were
investigated using X-ray photography as a spatial golden standard and the sensors
were shown to exhibit linear qualities with optimal nonlinearities at 0.6%. The
measurement sensitivity and accuracy by the CyberGlove was improved by
establishing a calibration protocol suiting the sensor characteristics. Through a
calibration protocol using calibration tools made by thermoplastics, the angular
measurement error was found to decrease from 7.2% to 1.2%.
The technical development of the software part of the project involved the
inclusion of data preprocessing, display and analysis modules. To investigate the
motion exhibited by healthy subjects, 32 healthy subjects were recruited and they
were asked to complete a series of motion according to a designed motion
protocol involving a static trial, a timed-grip trial and a rapid-grip trial. Motion
features were extracted from recorded motion data by identification and
quantification of temporal or spatial characteristics in motion such as joint
sequence of events, angular kinematics, finger tip path features and phase diagram
features. Some features were evaluated by pattern correlation analysis by linear
regression, and healthy subjects all shared similar patterns resulting in high levels
of regression coefficients R2 and low levels of slope deviations m.
The establishment of motion features along with a prototype motion measurement
system allows the continuous development on the CyberGlove as a hand function
assessment tool when supported by later clinical adaptations or studies. / published_or_final_version / Orthopaedics and Traumatology / Master / Master of Philosophy
| Identifer | oai:union.ndltd.org:HKU/oai:hub.hku.hk:10722/174556 |
| Date | January 2012 |
| Creators | Au, Kin-hei, Timothy., 區建熙. |
| Contributors | Luk, KDK, Hu, Y, To, MKT |
| Publisher | The University of Hong Kong (Pokfulam, Hong Kong) |
| Source Sets | Hong Kong University Theses |
| Language | English |
| Detected Language | English |
| Type | PG_Thesis |
| Source | http://hub.hku.hk/bib/B47849988 |
| Rights | The author retains all proprietary rights, (such as patent rights) and the right to use in future works., Creative Commons: Attribution 3.0 Hong Kong License |
| Relation | HKU Theses Online (HKUTO) |
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