Abstract
BackgroundAssessment of hand kinematics is important when evaluating hand functioning. Major drawbacks of current sensing glove systems are lack of rotational observability in particular directions, labour intensive calibration methods which are sensitive to wear and lack of an absolute hand orientation estimate.MethodsWe propose an ambulatory system using inertial sensors that can be placed on the hand, fingers and thumb. It allows a full 3D reconstruction of all finger and thumb joints as well as the absolute orientation of the hand. The system was experimentally evaluated for the static accuracy, dynamic range and repeatability.ResultsThe RMS position norm difference of the fingertip compared to an optical system was 5±0.5 mm (mean ± standard deviation) for flexion-extension and 12.4±3.0 mm for combined flexion-extension abduction-adduction movements of the index finger. The difference between index and thumb tips during a pinching movement was 6.5±2.1 mm. The dynamic range of the sensing system and filter was adequate to reconstruct full 80 degrees movements of the index finger performed at 116 times per minute, which was limited by the range of the gyroscope. Finally, the reliability study showed a mean range difference over five subjects of 1.1±0.4 degrees for a flat hand test and 1.8±0.6 degrees for a plastic mold clenching test, which is smaller than other reported data gloves.ConclusionCompared to existing data gloves, this research showed that inertial and magnetic sensors are of interest for ambulatory analysis of the human hand and finger kinematics in terms of static accuracy, dynamic range and repeatability. It allows for estimation of multi-degree of freedom joint movements using low-cost sensors.
Highlights
Analysis of hand kinematics is important in several application areas, such as rehabilitation, sports, ergonomics and animation industry
This paper describes a new kinematic tracking system for the human hand which is based on inertial and magnetic sensors and offers various benefits compared to existing systems
Prior to start of the experiments a required calibration trial was conducted to firstly align the hand coordinate frames of optical and inertial sensors, secondly to obtain the position of the MCP joint expressed in the hand coordinate frame and to obtain the position of the tip LED expressed in the distal coordinate frame
Summary
Analysis of hand kinematics is important in several application areas, such as rehabilitation, sports, ergonomics and animation industry. Ambulatory tracking of the whole hand configuration is valuable for kinematic assessment under daily life conditions. Current hand capturing systems can be divided in two categories, namely camera-based systems and datagloves. Camera-based systems either use the contours of the hand or are guided by markers attached to the finger segments. Datagloves form a large group of sensing devices that are worn on the hand. They differ in the way kinematic information is obtained. Major drawbacks of current sensing glove systems are lack of rotational observability in particular directions, labour intensive calibration methods which are sensitive to wear and lack of an absolute hand orientation estimate
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