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1.
IEEE Int Conf Rehabil Robot ; 2017: 1031-1036, 2017 07.
Article in English | MEDLINE | ID: mdl-28813957

ABSTRACT

This paper proposes the use of an instrumented object for the study of the human grasping strategies. The proposed object is able to measure the grasping forces by means of three Force Sensitive Resistor (FSR) sensors and triaxial acceleration through an accelerometer. The object orientation angles (roll and pitch) can be estimated from the accelerometer output in quasi-static condition, whereas slippage events can be detected through the Power Spectrum Density (PSD) computation of the acceleration on at least one of the three axes. An experimental session on 7 healthy subjects has been performed; each subject used the instrumented object to perform 8 tripod grasp trials. All the sensory information, i.e. applied forces, object orientation and slippage, have been analyzed in order to evaluate the grasping strategies of the different subjects.


Subject(s)
Biomechanical Phenomena/physiology , Biomedical Engineering/instrumentation , Hand Strength/physiology , Accelerometry/instrumentation , Accelerometry/methods , Biomedical Engineering/methods , Equipment Design , Fingers/physiology , Humans
2.
Article in English | MEDLINE | ID: mdl-26737835

ABSTRACT

This paper presents the design and realization of an instrumented object for force analysis during grasping. The object, with spherical shape, has been constructed with three contact areas in order to allow performing a tripod grasp. Force Sensing Resistor (FSR) sensors have been employed for normal force measurements, while an accelerometer has been used for slip detection. An electronic board for data acquisition has been embedded into the object, so that only the cables for power supply exit from it. Validation tests have been carried out for: (i) comparing the force measurements with a ground truth; (ii) assessing the capability of the accelerometer to detect slippage for different roughness values; (iii) evaluating object performance in grasp trials performed by a human subject.


Subject(s)
Hand Strength , Robotics , Acceleration , Biomechanical Phenomena , Calibration , Equipment Design , Finger Joint , Hand Strength/physiology , Humans , Man-Machine Systems , Monitoring, Ambulatory/methods , Movement , Reproducibility of Results , User-Computer Interface
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