Using Deep Learning and Mobile Offloading to Control a 3D-printed Prosthetic Hand

2019 ◽  
Vol 3 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Kirill A. Shatilov ◽  
Dimitris Chatzopoulos ◽  
Alex Wong Tat Hang ◽  
Pan Hui
Keyword(s):  
Deep Learning ◽  
Prosthetic Hand ◽  
3D Printed ◽  
Mobile Offloading

scholarly journals Design of a 3D-printed hand prosthesis featuring articulated bio-inspired fingers

2020 ◽  
pp. 095441192098088
Author(s):  
Juan Sebastian Cuellar ◽  
Dick Plettenburg ◽  
Amir A Zadpoor ◽  
Paul Breedveld ◽  
Gerwin Smit
Keyword(s):  
3D Printing ◽  
Design Principles ◽  
Prosthetic Hand ◽  
Hand Prosthesis ◽  
Fused Deposition ◽  
Pinch Force ◽  
Actuation System ◽  
3D Printed ◽  
Energy Dissipated ◽  
Dual Material

Various upper-limb prostheses have been designed for 3D printing but only a few of them are based on bio-inspired design principles and many anatomical details are not typically incorporated even though 3D printing offers advantages that facilitate the application of such design principles. We therefore aimed to apply a bio-inspired approach to the design and fabrication of articulated fingers for a new type of 3D printed hand prosthesis that is body-powered and complies with basic user requirements. We first studied the biological structure of human fingers and their movement control mechanisms in order to devise the transmission and actuation system. A number of working principles were established and various simplifications were made to fabricate the hand prosthesis using a fused deposition modelling (FDM) 3D printer with dual material extrusion. We then evaluated the mechanical performance of the prosthetic device by measuring its ability to exert pinch forces and the energy dissipated during each operational cycle. We fabricated our prototypes using three polymeric materials including PLA, TPU, and Nylon. The total weight of the prosthesis was 92 g with a total material cost of 12 US dollars. The energy dissipated during each cycle was 0.380 Nm with a pinch force of ≈16 N corresponding to an input force of 100 N. The hand is actuated by a conventional pulling cable used in BP prostheses. It is connected to a shoulder strap at one end and to the coupling of the whiffle tree mechanism at the other end. The whiffle tree mechanism distributes the force to the four tendons, which bend all fingers simultaneously when pulled. The design described in this manuscript demonstrates several bio-inspired design features and is capable of performing different grasping patterns due to the adaptive grasping provided by the articulated fingers. The pinch force obtained is superior to other fully 3D printed body-powered hand prostheses, but still below that of conventional body powered hand prostheses. We present a 3D printed bio-inspired prosthetic hand that is body-powered and includes all of the following characteristics: adaptive grasping, articulated fingers, and minimized post-printing assembly. Additionally, the low cost and low weight make this prosthetic hand a worthy option mainly in locations where state-of-the-art prosthetic workshops are absent.

scholarly journals ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture

2020 ◽  
Author(s):  
Nicolás Gaggion ◽  
Federico Ariel ◽  
Vladimir Daric ◽  
Éric Lambert ◽  
Simon Legendre ◽  
...  
Keyword(s):  
Deep Learning ◽  
Root System ◽  
High Throughput ◽  
System Architecture ◽  
Root Traits ◽  
Root System Architecture ◽  
Machine Intelligence ◽  
Reconstruction Process ◽  
High Throughput Phenotyping ◽  
3D Printed

ABSTRACTDeep learning methods have outperformed previous techniques in most computer vision tasks, including image-based plant phenotyping. However, massive data collection of root traits and the development of associated artificial intelligence approaches have been hampered by the inaccessibility of the rhizosphere. Here we present ChronoRoot, a system which combines 3D printed open-hardware with deep segmentation networks for high temporal resolution phenotyping of plant roots in agarized medium. We developed a novel deep learning based root extraction method which leverages the latest advances in convolutional neural networks for image segmentation, and incorporates temporal consistency into the root system architecture reconstruction process. Automatic extraction of phenotypic parameters from sequences of images allowed a comprehensive characterization of the root system growth dynamics. Furthermore, novel time-associated parameters emerged from the analysis of spectral features derived from temporal signals. Altogether, our work shows that the combination of machine intelligence methods and a 3D-printed device expands the possibilities of root high-throughput phenotyping for genetics and natural variation studies as well as the screening of clock-related mutants, revealing novel root traits.

scholarly journals Development of 3D Printed Symbrachydactyly Prosthetic Hand

2019 ◽  
Vol 9 (1) ◽  
pp. 5943-5947
Keyword(s):  
3D Printing ◽  
Minimum Cost ◽  
Acrylonitrile Butadiene Styrene ◽  
Design Stage ◽  
Patient Specific ◽  
Prosthetic Hand ◽  
Simple Task ◽  
3D Printed ◽  
Electrical Component ◽  
Hand Geometry

Symbrachydactyly is a genetical problem occurred to newborn where the newborn experienced underdeveloped or shorten fingers. This condition will limit their normal as even a simple task of holding an item or pushing a button. A device is needed to help them gain a better life. The aim of this project is to fabricate a customized prosthesis hand using 3D printing technology at minimum cost. The proposed prosthetic was not embedded with any electrical component. The patient can only use the wrist to control the prosthetic part which is the prosthetic fingers. The prosthetic hand was also being developed with the patient specific features, which the initial design stage was adapted from a person’s hand geometry using a 3D scanner. Next the model of the prosthesis was analyzed computationally to predict the performance of the product. Different material properties are considered in the analysis to present Polylactic Acid (PLA) and Acrylonitrile Butadiene Styrene (ABS) materials. Then, the prosthesis was fabricated using the 3D printing. The results suggested that PLA material indicated better findings and further be fabricated.

Novel Design of a 3D Printed Anthropomorphic Soft Prosthetic Hand

2020 ◽  
Author(s):  
Esme Abbot ◽  
Amanda de Oliveira Barros ◽  
James Yang
Keyword(s):  
Degrees Of Freedom ◽  
Fused Deposition Modeling ◽  
Human Hand ◽  
Prosthetic Hand ◽  
Fused Deposition ◽  
Versatile Tool ◽  
3D Printed ◽  
External Covering ◽  
Almost All ◽  
Precision Grasping

Abstract Human hands play a key role in almost all activities of daily living (ADLs) because it is an incredibly versatile tool capable of complex motion. For individuals who have had a complete loss of the hand, the ability to perform ADLs is impaired. Effective prosthetics accurately simulate the movements of a human hand by providing a high number of degrees of freedom, an efficient control system, and an anthropomorphic appearance. In this paper, the design and construction process of a highly anthropomorphic soft robotic prosthetic hand is outlined. The design specifications of the hand are based on feedback from current and former prosthetic users. The hand endoskeleton was 3D printed using fused deposition modeling techniques and was enclosed in a silicone coating modeled, after a real human hand. The hand presents anthropomorphic design in its realistic bone shapes and in its external covering that is like skin in texture and mechanical properties. The hand utilizes the flexibility of silicone instead of antagonistic tendons which would otherwise add complexity and weight to the prosthetic design. The prototype also includes adduction/abduction of the fingers, which is a common omitted movement in other prosthetics. Testing showed that the hand is capable of effective power and precision grasping.

Selection of Grasping Target and Control System of Robotic Prosthetic Hand using Images and Deep Learning

2020 ◽  
Vol 26 (5) ◽  
pp. 312-317
Author(s):  
Haejune Park ◽  
Bohyeon An ◽  
Junmin Baek ◽  
Dongkyu Lee ◽  
Changwon Kim ◽  
...  
Keyword(s):  
Deep Learning ◽  
Control System ◽  
Prosthetic Hand ◽  
And Control ◽  
Selection Of

Brain-computer interface and voice-controlled 3D printed prosthetic hand

2016 ◽  
Author(s):  
Carlos M. Oppus ◽  
Jesus Roselito R. Prado ◽  
Jocel C. Escobar ◽  
Juan Antonio G. Marinas ◽  
Rosula S.J. Reyes
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Prosthetic Hand ◽  
3D Printed

scholarly journals Ten guidelines for the design of non-assembly mechanisms: The case of 3D-printed prosthetic hands

2018 ◽  
Vol 232 (9) ◽  
pp. 962-971 ◽  
Author(s):  
Juan Sebastian Cuellar ◽  
Gerwin Smit ◽  
Amir A Zadpoor ◽  
Paul Breedveld
Keyword(s):  
Developing Countries ◽  
3D Printing ◽  
Fused Deposition Modelling ◽  
Prosthetic Hand ◽  
Prosthetic Devices ◽  
Hand Prosthesis ◽  
Fused Deposition ◽  
Prosthetic Hands ◽  
Design Considerations ◽  
3D Printed

In developing countries, prosthetic workshops are limited, difficult to reach, or even non-existent. Especially, fabrication of active, multi-articulated, and personalized hand prosthetic devices is often seen as a time-consuming and demanding process. An active prosthetic hand made through the fused deposition modelling technology and fully assembled right after the end of the 3D printing process will increase accessibility of prosthetic devices by reducing or bypassing the current manufacturing and post-processing steps. In this study, an approach for producing active hand prosthesis that could be fabricated fully assembled by fused deposition modelling technology is developed. By presenting a successful case of non-assembly 3D printing, this article defines a list of design considerations that should be followed in order to achieve fully functional non-assembly devices. Ten design considerations for additive manufacturing of non-assembly mechanisms have been proposed and a design case has been successfully addressed resulting in a fully functional prosthetic hand. The hand prosthesis can be 3D printed with an inexpensive fused deposition modelling machine and is capable of performing different types of grasping. The activation force required to start a pinch grasp, the energy required for closing, and the overall mass are significantly lower than body-powered commercial prosthetic hands. The results suggest that this non-assembly design may be a good alternative for amputees in developing countries.

Sign in / Sign up

Export Citation Format

Share Document