Fast and Low Cost Acquisition and Reconstruction System for Human Hand-wrist-arm Anatomy

Carfagni, Monica; Furferi, Rocco; Governi, Lapo; Servi, Michaela; Uccheddu, Francesca; Volpe, Yary; McGreevy, Kathleen S.

doi:10.1016/j.promfg.2017.07.306

Cited by 27 publications

(19 citation statements)

References 17 publications

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“…A low-cost 3D scanner has been developed in [ 103 ] by assembling four Intel RealSense SR300 depth cameras to study the feasibility of acquiring human hand–wrist–arm anatomy. The depth cameras are arranged on a circular rig ( Figure 19 a) to acquire the whole geometry in a single shot ( Figure 19 b).…”

Section: 3d Scanner Architectures For the Reconstruction Of Upper mentioning

confidence: 99%

Sensor Architectures and Technologies for Upper Limb 3D Surface Reconstruction: A Review

Paoli

Neri

Razionale

et al. 2020

Sensors

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3D digital models of the upper limb anatomy represent the starting point for the design process of bespoke devices, such as orthoses and prostheses, which can be modeled on the actual patient’s anatomy by using CAD (Computer Aided Design) tools. The ongoing research on optical scanning methodologies has allowed the development of technologies that allow the surface reconstruction of the upper limb anatomy through procedures characterized by minimum discomfort for the patient. However, the 3D optical scanning of upper limbs is a complex task that requires solving problematic aspects, such as the difficulty of keeping the hand in a stable position and the presence of artefacts due to involuntary movements. Scientific literature, indeed, investigated different approaches in this regard by either integrating commercial devices, to create customized sensor architectures, or by developing innovative 3D acquisition techniques. The present work is aimed at presenting an overview of the state of the art of optical technologies and sensor architectures for the surface acquisition of upper limb anatomies. The review analyzes the working principles at the basis of existing devices and proposes a categorization of the approaches based on handling, pre/post-processing effort, and potentialities in real-time scanning. An in-depth analysis of strengths and weaknesses of the approaches proposed by the research community is also provided to give valuable support in selecting the most appropriate solution for the specific application to be addressed.

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Section: 3d Scanner Architectures For the Reconstruction Of Upper mentioning

confidence: 99%

Sensor Architectures and Technologies for Upper Limb 3D Surface Reconstruction: A Review

Paoli

Neri

Razionale

et al. 2020

Sensors

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“…The hypothesized architecture, based on two circular arrays of RGB-D sensors, allows the acquisition of the entire arm geometry in a very short time (lower than 0.5 s). The effectiveness of the chosen architecture was demonstrated during the development of a previous version of the scanner [15] ( Figure 10), which used Intel SR300 cameras. The new version integrates a different kind of sensor (Intel's D415 depth camera [16]) which allows improved performances w.r.t.…”

Section: Arm Scannermentioning

confidence: 99%

Scene Acquisition with Multiple 2D and 3D Optical Sensors: A PSO-Based Visibility Optimization

Furferi

Governi

Marzola

et al. 2020

Sensors

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Designing an acquisition system for 2D or 3D information, based on the integration of data provided by different sensors is a task that requires a labor-intensive initial design phase. Indeed, the definition of the architecture of such acquisition systems needs to start from the identification of the position and orientation of the sensors observing the scene. Their placement is carefully studied to enhance the efficacy of the system. This often coincides with the need to maximize the surfaces observed by the sensors or some other metric. An automatic optimization procedure based on the Particle Swarm Optimization (PSO) algorithm, to seek the most convenient setting of multiple optical sensors observing a 3D scene, is proposed. The procedure has been developed to provide a fast and efficient tool for 2D and 3D data acquisition. Three different objective functions of general validity, to be used in future applications, are proposed and described in the text. Various filters are introduced to reduce computational times of the whole procedure. The method is capable of handling occlusions from undesired obstacle in the scene. Finally, the entire method is discussed with reference to 1) the development of a body scanner for the arm-wrist-hand district and 2) the acquisition of an internal environment as case studies.

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“…High levels of customization can be achieved by following a reverse engineering approach, usually consisting of three main stages [13, 14], which are critically analyzed in [2]: (1) scanning of anatomical parts, (2) processing of the acquired geometry using CAD software, and (3) creation of the device using additive manufacturing technologies. In literature, there are a few studies which analyze the whole hand orthosis realization process [15, 16]; others concentrate on specific stages, taking anatomy acquisition as provided by suitable systems [17–19]. In [7], we tested, on healthy subjects, different scanning methodologies and partially solved the problem of occlusions and involuntary motions by a deformable multiview alignment solution.…”

Section: Related Workmentioning

confidence: 99%

Concept and Design of a 3D Printed Support to Assist Hand Scanning for the Realization of Customized Orthosis

Baronio

Volonghi

Signoroni

2017

Applied Bionics and Biomechanics

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In the rehabilitation field, the use of additive manufacturing techniques to realize customized orthoses is increasingly widespread. Obtaining a 3D model for the 3D printing phase can be done following different methodologies. We consider the creation of personalized upper limb orthoses, also including fingers, starting from the acquisition of the hand geometry through accurate 3D scanning. However, hand scanning procedure presents differences between healthy subjects and patients affected by pathologies that compromise upper limb functionality. In this work, we present the concept and design of a 3D printed support to assist hand scanning of such patients. The device, realized with FDM additive manufacturing techniques in ABS material, allows palmar acquisitions, and its design and test are motivated by the following needs: (1) immobilizing the hand of patients during the palmar scanning to reduce involuntary movements affecting the scanning quality and (2) keeping hands open and in a correct position, especially to contrast the high degree of hypertonicity of spastic subjects. The resulting device can be used indifferently for the right and the left hand; it is provided in four-dimensional sizes and may be also suitable as a palmar support for the acquisition of the dorsal side of the hand.

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Fast and Low Cost Acquisition and Reconstruction System for Human Hand-wrist-arm Anatomy

Cited by 27 publications

References 17 publications

Sensor Architectures and Technologies for Upper Limb 3D Surface Reconstruction: A Review

Sensor Architectures and Technologies for Upper Limb 3D Surface Reconstruction: A Review

Scene Acquisition with Multiple 2D and 3D Optical Sensors: A PSO-Based Visibility Optimization

Concept and Design of a 3D Printed Support to Assist Hand Scanning for the Realization of Customized Orthosis

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