In the context of hand and finger rehabilitation,
kinematic compatibility is key for the acceptability
and clinical exploitation of robotic devices. Different kinematic
chain solutions have been proposed in the state of
the art, with different trade-offs between characteristics
of kinematic compatibility, adaptability to different anthropometries,
and the ability to compute relevant clinical
information. This study presents the design of a novel
kinematic chain for the mobilization of the metacarpophalangeal
(MCP) joint of the long fingers and a mathematical
model for the real-time computation of the joint angle and
transferred torque. The proposed mechanism can self-align
with the human joint without hindering force transfer or
inducing parasitic torque. The chain has been designed
for integration into an exoskeletal device aimed at rehabilitating
traumatic-hand patients. The exoskeleton actuation
the unit has a series-elastic architecture for compliant human-robot
interaction and has been assembled and preliminarily
tested in experiments with eight human subjects. Performance
has been investigated in terms of (i) the accuracy of
the MCP joint angle estimation through comparison with
a video-based motion tracking system, (ii) residual MCP
torque when the exoskeleton is controlled to provide null
output impedance and (iii) torque-tracking performance.
Results showed a root-mean-square error (RMSE) below
5 degrees in the estimated MCP angle. The estimated residual
MCP torque resulted below 7 mNm. Torque tracking performance
shows an RMSE lower than 8 mNm in following
sinusoidal reference profiles. The results encourage further
investigations of the device in a clinical scenario