The Octa Hand: An Affordable Multi-Grasping 3D-Printed Robotic Prosthesis for Transradial Amputees

Abarca, Victoria E.; Flores, Kevin M.; Elías, Dante

doi:10.1109/iccar.2019.8813417

Cited by 7 publications

(7 citation statements)

References 7 publications

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“…Some papers realize more than one DoF motion of a human wrist. [88][89][90][91] 3D printing is utilized for joint assembly parts fabrication in most papers; however, one presents a 3D-printed spring element with embedded sensing capability implemented in the wrist for sports activities, [86] expanding 3D printing capability. In terms of anthropomorphism, only two papers replicate the motion and functionality of a human wrist using rolling-sliding joints with high load capacity.…”

Section: Wrist Mechanismmentioning

confidence: 99%

3D Printing in the Design and Fabrication of Anthropomorphic Hands: A Review

Park,

Chang,

Jung

et al. 2024

Advanced Intelligent Systems

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In this article, 3D‐printed anthropomorphic hands for prosthetic or robotic applications are reviewed as 3D printing has transformed manufacturing by enabling the creation of intricate structures layer by layer, offering design freedom and efficiency. This review categorizes 3D‐printed anthropomorphic hands based on actuation, transmission, joint, and functional features like sensing and grasp patterns. It also assesses the level of anthropomorphism and validation methods by presenting criteria in prosthetic and robotic applications. Then, the article discusses 3D printing technologies in their usage and types, highlighting the advantages of multi‐material capabilities and integration of different hand components. Future directions on structural components, anthropomorphism, validation, and use of 3D printing are discussed, focusing on trends that only 3D printing technology can achieve in anthropomorphic hand development.

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Section: Wrist Mechanismmentioning

confidence: 99%

3D Printing in the Design and Fabrication of Anthropomorphic Hands: A Review

Park,

Chang,

Jung

et al. 2024

Advanced Intelligent Systems

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“…This classification considered information from 2018 to 2023. For forty-six scientific articles: in 2018, seven were found [50,53,78,88,108,110,111]; in 2019, seven [38,48,51,76,82,86,109]; in 2020, twelve [37,[44][45][46][47]49,70,81,91,112,113,123]; in 2021, nine [36,52,69,79,[83][84][85]87,89]; in 2022, eight [35,[71][72][73][74][75]80,124]; and in 2023, three [77,90,114].…”

Section: According To the Year Of Publicationmentioning

confidence: 99%

“…Another group is active prostheses, which have mechanisms that mechanically substitute a muscular function; for this, prosthetic systems such as an energy source, a force transmission system, and a gripping device are needed; classified by their actuation system, they can be as shown in Table 2. Synergistic posture mapping: This control is performed using the orientation and contact forces of different parts of the person [37,71,76,99], an example being detecting the position of the thumb using a gyroscope to move the prosthetic fingers [37]. • Hybrid: This is the mixture of two or more control systems mentioned above; in the literature, the most common is Electromyography-Electroencephalography [35,105,115,124].…”

Section: According To Input Controlmentioning

confidence: 99%

“…For transmetacarpal amputation, seven developments were found divided in the following way: two are mentioned in scientific articles [37,38], three are mentioned in invention patents [39][40][41], and two in commercial prostheses [42,43] were found. For transcarpal amputation, 25 developments were found divided in the following way: 10 are mentioned in scientific articles [44][45][46][47][48][49][50][51][52][53], 13 are mentioned in invention patents [54][55][56][57][58][59][60][61][62][63][64][65][66], and 2 in commercial prostheses [67,68].…”

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confidence: 99%

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Upper Limb Prostheses by the Level of Amputation: A Systematic Review

Segura,

Romero,

Abarca

et al. 2024

Prosthesis

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This review article aims to provide an updated and comprehensive overview of the latest trends in adult upper limb prostheses, specifically targeting various amputation levels such as transradial, transmetacarpal, transcarpal, and transhumeral. A systematic search was conducted across multiple databases, including IEEE Xplore, MDPI, Scopus, Frontiers, and Espacenet, covering from 2018 to 2023. After applying exclusion criteria, 49 scientific articles (33 patents and 16 commercial prostheses) were meticulously selected for review. The article offers an in-depth analysis of several critical aspects of upper limb prostheses. It discusses the evolution and current state of input control mechanisms, the number of degrees of freedom, and the variety of grips available in prostheses, all tailored according to the level of amputation. Additionally, the review delves into the selection of materials used in developing these prostheses and examines the progression of technology readiness levels. A significant focus is also placed on the evolution of prosthesis weight over the years for different amputation levels. Moreover, the review identifies and explores critical technological challenges and prospects in upper limb prostheses. Finally, the article culminates with a conclusion that encapsulates the key findings and insights on the advancements and ongoing developments in this field.

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“…The simple structural design of DC or servo motor wired-driven mechanisms controlled by a surface myoelectric signal (sEMG) became popular (Abarca et al, 2019 ; Ku et al, 2019 ; Sureshbabu et al, 2019 ; Mohammadi et al, 2020 ; Wahit et al, 2020 ; Khan et al, 2021 ). The sEMG control can be as simple as an on-off control scheme, proportional where movement velocity depends on the muscle contraction intensity, and even by pattern recognition, which classifies the sEMG into grip pattern classes, have also been used (Geethanjali, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

A Hybrid 3D Printed Hand Prosthesis Prototype Based on sEMG and a Fully Embedded Computer Vision System

2022

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This study presents a new approach for an sEMG hand prosthesis based on a 3D printed model with a fully embedded computer vision (CV) system in a hybrid version. A modified 5-layer Smaller Visual Geometry Group (VGG) convolutional neural network (CNN), running on a Raspberry Pi 3 microcomputer connected to a webcam, recognizes the shape of daily use objects, and defines the pattern of the prosthetic grasp/gesture among five classes: Palmar Neutral, Palmar Pronated, Tripod Pinch, Key Grasp, and Index Finger Extension. Using the Myoware board and a finite state machine, the user's intention, depicted by a myoelectric signal, starts the process, photographing the object, proceeding to the grasp/gesture classification, and commands the prosthetic motors to execute the movements. Keras software was used as an application programming interface and TensorFlow as numerical computing software. The proposed system obtained 99% accuracy, 97% sensitivity, and 99% specificity, showing that the CV system is a promising technology to assist the definition of the grasp pattern in prosthetic devices.

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The Octa Hand: An Affordable Multi-Grasping 3D-Printed Robotic Prosthesis for Transradial Amputees

Cited by 7 publications

References 7 publications

3D Printing in the Design and Fabrication of Anthropomorphic Hands: A Review

3D Printing in the Design and Fabrication of Anthropomorphic Hands: A Review

Upper Limb Prostheses by the Level of Amputation: A Systematic Review

A Hybrid 3D Printed Hand Prosthesis Prototype Based on sEMG and a Fully Embedded Computer Vision System

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