Bionic prosthetic hands: A review of present technology and future aspirations

Clement, R; Bugler, K.E.; Oliver, Christopher William

doi:10.1016/j.surge.2011.06.001

Cited by 147 publications

(67 citation statements)

References 26 publications

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“…The design of intuitive and feasible sensors and techniques for hand posture detection plays an important role on the establishment of advanced human-computer interfaces, with further applications in teleoperation [1], medical [2] and rehabilitation robots [3], bionic prosthesis control [4], and gesture recognition for consumer electronics [5].…”

Section: Introductionmentioning

confidence: 99%

Optical Fiber Force Myography Sensor for Identification of Hand Postures

Fujiwara

Suzuki

2018

Journal of Sensors

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A low-cost optical fiber force myography sensor for noninvasive hand posture identification is proposed. The transducers are comprised of 10 mm periodicity silica multimode fiber microbending devices mounted in PVC plates, providing 0.05 N −1 sensitivity over~20 N range. Next, the transducers were attached to the user forearm by means of straps in order to monitor the posterior proximal radial, the anterior medial ulnar, and the posterior distal radial muscles, and the acquired FMG optical signals were correlated to the performed gestures using a 5 hidden layers, 20-neuron artificial neural network classifier with backpropagation architecture, followed by a competitive layer. The overall results for 9 postures and 6 subjects indicated a 98.4% sensitivity and 99.7% average accuracy, being comparable to the electromyographic approaches. Moreover, in contrast to the current setups, the proposed methodology allows the identification of poses characterized by different configurations of fingers and wrist joint displacements with the utilization of only 3 transducers and a simple interrogation scheme, being suitable to further applications in human-computer interfaces.

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Section: Introductionmentioning

confidence: 99%

Optical Fiber Force Myography Sensor for Identification of Hand Postures

Fujiwara

Suzuki

2018

Journal of Sensors

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“…instructions using body language, verbal communications and the mind). 7,8,9 The present robotic prostheses available from Bebionic 10 are operated using preprogramed buttons inside the prosthetic unit and operated easily via a switch, by the amputee. Thus intention-movement of prosthetic units enables amputees to manipulate and handle objects and experience a better quality of life.…”

Section: Introductionmentioning

confidence: 99%

Thumb-tip Force Prediction Based on Hill’s Muscle Model using Electromyogram and Ultrasound Signal

Sidek¹,

Roslan²,

Sidek³

2018

IJCIS

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The use of prostheses is necessary to restore lost limbs to a level of functionality to enable activity of daily living. Many prostheses are now using myoelectric based control techniques to operate. However, to develop a model based controller for the system remains a challenge as accurate model is necessary. This study investigates the use of electromyogram and ultrasound signal to predict thumb tip force based on Hill's Muscle model. The results obtained has shown a significant improvement in the prediction of thumb tip force as much as 31.45% of average RMSE over the benchmark model that leverages on biomechanics model and active marker to characterize the muscle.

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“…A fully compliant robotic finger design will also reduce the total weight of the prosthetic hand because it is fabricated as a monolithic structure using the 3D printing which means that the porosity of the fingers and the hand is directly related to the overall weight of the hand. Weight and operating noise are two of the major problems which have an influence on the ease of use and hence the acceptability of prosthetic hands [33]. Developing prosthetic devices made of smart materials fabricated using additive manufacturing methods can enable us to overcome these difficulties.…”

Section: Introductionmentioning

confidence: 99%

3D Printed Flexure Hinges for Soft Monolithic Prosthetic Fingers

et al. 2016

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Mechanical compliance is one of the primary properties of structures in nature playing a key role in their efficiency. This study investigates a number of commonly used flexure hinges to determine a flexure hinge morphology, which generates large displacements under a lowest possible force input. The aim of this is to design a soft and monolithic robotic finger. Fused deposition modeling, a low-cost 3D printing technique, was used to fabricate the flexure hinges and the soft monolithic robotic fingers. Experimental and finite element analyses suggest that a nonsymmetric elliptical flexure hinge is the most suitable type for use in the soft monolithic robotic finger. Having estimated the effective elastic modulus, flexion of the soft monolithic robotic fingers was simulated and this showed a good correlation with the actual experimental results. The soft monolithic robotic fingers can be employed to handle objects with unknown shapes and are also potential low-cost candidates for establishing soft and one-piece prosthetic hands with light weight. A three-finger gripper has been constructed using the identified flexure hinge to handle objects with irregular shapes such as agricultural products. AbstractMechanical compliance is one of the primary properties of structures in nature playing a key role in their efficiency. This study investigates a number of commonly used flexure hinges in order to determine flexure hinge morphology which generates larger displacements under the lowest force input. The aim of this is to design a soft and monolithic robotic finger. Fused deposition modelling (FDM), a low cost 3D printing technique, was used in order to fabricate the flexure hinges and the soft monolithic robotic fingers. Experimental and finite element analyses suggest that a non-symmetric elliptical flexure hinge is the most suitable type for use in the soft monolithic robotic finger. Having estimated the effective elastic modulus, flexion of the soft monolithic robotic fingers was simulated and this showed a good correlation with the actual experimental results. The soft monolithic robotic fingers can be employed to handle objects with unknown shapes and are also potential low cost candidates for establishing soft and one-piece prosthetic hands with light weight. A 3-finger gripper has been constructed using the identified flexure hinge to handle objects with irregular shapes such as agricultural products.

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Bionic prosthetic hands: A review of present technology and future aspirations

Cited by 147 publications

References 26 publications

Optical Fiber Force Myography Sensor for Identification of Hand Postures

Optical Fiber Force Myography Sensor for Identification of Hand Postures

Thumb-tip Force Prediction Based on Hill’s Muscle Model using Electromyogram and Ultrasound Signal

3D Printed Flexure Hinges for Soft Monolithic Prosthetic Fingers

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