2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR) 2013
DOI: 10.1109/icorr.2013.6650379
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Analysis of grasping strategies and function in hemiparetic patients using an instrumented object

Abstract: This paper validates a novel instrumented object, the iBox, dedicated to the analysis of grasping and manipulation. This instrumented box can be grasped and manipulated, is fitted with an Inertial Measurement Unit (IMU) and can sense the force applied on each side and transmits measured force, acceleration and orientation data wirelessly in real time. The iBox also provides simple access to data for analysing human motor control features such as the coordination between grasping and lifting forces and complex … Show more

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Cited by 18 publications
(17 citation statements)
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References 21 publications
(24 reference statements)
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“…More specifically, we investigated the ability of learning, updating, and maintaining an accurate internal model of a myoelectric prosthesis to consistently control its grasping force in a feedforward manner. In contrast to the previous work (Dosen et al 2015), the present experiment evaluated the tactile feedback based on vibration and mixed coding, which is a practically relevant interface [instead of visual feedback used in (Jarrasse et al 2013)]. Furthermore, the training of feedforward control was performed on multiple force levels (low, medium, and high) and the retention was tested within session as well as after 1 day.…”
Section: Discussionmentioning
confidence: 99%
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“…More specifically, we investigated the ability of learning, updating, and maintaining an accurate internal model of a myoelectric prosthesis to consistently control its grasping force in a feedforward manner. In contrast to the previous work (Dosen et al 2015), the present experiment evaluated the tactile feedback based on vibration and mixed coding, which is a practically relevant interface [instead of visual feedback used in (Jarrasse et al 2013)]. Furthermore, the training of feedforward control was performed on multiple force levels (low, medium, and high) and the retention was tested within session as well as after 1 day.…”
Section: Discussionmentioning
confidence: 99%
“…Here, the feedback is used to detect state transitions (e.g., contact and liftoff) triggering the release of appropriate motor programs and/or to online modulate the feedforward commands to correct errors due to uncertainty in modeling and/or environment (e.g., correcting the overshoot if the bottle was empty) (Flanagan and Wing 1997; Flanagan et al 2001; Green et al 2010). Somatosensory information plays a fundamental role in the learning, maintenance, and updating of these anticipatory mechanisms (Witney et al 2004; Hermsdorfer et al 2011; Jarrasse et al 2013) and predictive force control requires at least intermittent cutaneous and proprioceptive feedback to signal the effectiveness of descending motor commands and to update internal models (Nowak et al 2004). …”
Section: Introductionmentioning
confidence: 99%
“…The iBox [6] is a parallelepiped (Fig 1A) of dimension 108x70x40mm 3 and mass 0.370kg. It is equipped with an inertial unit (IMU), an embedded electronic board [40] to measure its accelerations, rotational velocities, orientations and six load cells to measure the force applied normally to its six faces (up to 42 N).…”
Section: Methodsmentioning
confidence: 99%
“…The analysis focused on the forces applied on the 6 faces of the iBox (Fig 3), on the angles computed from sensor fusion of the IMU signals [6] and on global acceleration (computed as the norm of the three vectors). The rotations were presented as Euler angles in YXZ sequence (corresponding respectively to spinning, swing and overturn).…”
Section: Methodsmentioning
confidence: 99%
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