Journal of Rehabilitation Research & Development (JRRD)

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Development of finger-motion capturing device based on optical linear encoder

Kang Li, MEng, et al.

Figure 4. Human hand skeleton model. DIP = distal interphalangeal, HM = hamate metacarpal, IP = interphalangeal, MCP = metacarpophalangeal, PIP = proximal interphalangeal, TM = trapeziometacarpal.

Data gloves for hand-motion capture are a promising tool for objectively assessing finger movements and rehabilitation strategies. This article describes the design and validation of a wearable multifinger sensing device called SmartGlove. SmartGlove design was based on the novel optical linear encoder (OLE), which is compact and lightweight, is immune to temperature or electromagnetic interference, is easily replaceable, and consumes little power. The characterization tests also show that the OLE's digital output has good linearity and accuracy. The SmartGlove prototype uses 10 OLEs to capture the flexion/extension motion of the 14 finger joints and is constructed based on the multipoint sensing method. A user study evaluated the SmartGlove using a standard protocol and found high repeatability and reliability in both the gripped and flat-hand positions compared with four other evaluated data gloves using the same protocol.

Volume 48 Number 1, 2011
   Pages 69 — 82

View HTML  ¦  View PDF  ¦  Contents Vol. 48, No. 1

This article and any supplementary material should be cited as follows:
Li K, Chen IM, Yeo SH, Lim CK.
Development of finger-motion capturing device based on optical linear encoder.
J Rehabil Res Dev. 2011;48(1):69-82.

Last Reviewed or Updated  Thursday, January 13, 2011 1:58 PM

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