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相关论文: i-MYO: A Hybrid Prosthetic Hand Control System bas…

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The control of multi-fingered dexterous prosthetics hand remains challenging due to the lack of an intuitive and efficient Grasp-type Switching Interface (GSI). We propose a new GSI (i-GSI) t hat integrates the manifold power of…

机器人学 · 计算机科学 2022-04-25 Chunyuan Shi , Dapeng Yang , Siyang Qiu , Jingdong Zhao

Myoelectric prosthetic hands are typically controlled to move between discrete positions and do not provide sensory feedback to the user. In this work, we present and evaluate a closed-loop, continuous myoelectric prosthetic hand…

Clinical myoelectric prostheses lack the sensory feedback and sufficient dexterity required to complete activities of daily living efficiently and accurately. Providing haptic feedback of relevant environmental cues to the user or imbuing…

机器人学 · 计算机科学 2023-02-01 Neha Thomas , Alexandra J. Miller , Hasan Ayaz , Jeremy D. Brown

Limb loss affects millions globally, impairing physical function and reducing quality of life. Most traditional surface electromyographic (sEMG) and semi-autonomous methods require users to generate myoelectric signals for each control,…

机器人学 · 计算机科学 2025-06-11 Kaijie Shi , Wanglong Lu , Hanli Zhao , Vinicius Prado da Fonseca , Ting Zou , Xianta Jiang

The lack of haptically aware upper-limb prostheses forces amputees to rely largely on visual cues to complete activities of daily living. In contrast, able-bodied individuals inherently rely on conscious haptic perception and automatic…

机器人学 · 计算机科学 2022-11-18 Neha Thomas , Farimah Fazlollahi , Jeremy D. Brown , Katherine J. Kuchenbecker

The instability of myoelectric signals over time complicates their use to control highly articulated prostheses. To address this problem, studies have tried to combine surface electromyography with modalities that are less affected by the…

计算机视觉与模式识别 · 计算机科学 2017-09-08 Andrea Gigli , Arjan Gijsberts , Valentina Gregori , Matteo Cognolato , Manfredo Atzori , Barbara Caputo

Prosthetic hands can be used to support upper-body amputees. Myoelectric prosthesis, one of the externally-powered active prosthesis categories, requires proper processing units in addition to recording electrodes and instrumentation…

Electromyography (EMG) is a measure of muscular electrical activity and is used in many clinical/biomedical disciplines and modern human computer interaction. Myo-electric prosthetics analyze and classify the electrical signals recorded…

机器人学 · 计算机科学 2024-11-26 Mosab Diab , Ashraf Mohammed , Yinlai Jiang

The anthropomorphism of grasping process significantly benefits the experience and grasping efficiency of prosthetic hand wearers. Currently, prosthetic hands controlled by signals such as brain-computer interfaces (BCI) and…

机器人学 · 计算机科学 2024-12-11 Yansong Xu , Xiaohui Wang , Junlin Li , Xiaoqian Zhang , Feng Li , Qing Gao , Chenglong Fu , Yuquan Leng

Technological advances in multi-articulated prosthetic hands have outpaced the methods available to amputees to intuitively control these devices. Amputees often cite difficulty of use as a key contributing factor for abandoning their…

Individuals who use myoelectric upper-limb prostheses often rely heavily on vision to complete their daily activities. They thus struggle in situations where vision is overloaded, such as multitasking, or unavailable, such as poor lighting…

机器人学 · 计算机科学 2022-11-18 Neha Thomas , Farimah Fazlollahi , Katherine J. Kuchenbecker , Jeremy D. Brown

Myoelectric prosthetic hands are intended to replace the function of the amputee's lost arm. Therefore, developing robotic prosthetics that can mimic not only the appearance and functionality of humans but also characteristics unique to…

机器人学 · 计算机科学 2021-10-28 Akira Furui , Kosuke Nakagaki , Toshio Tsuji

The hand is one of the most complex and important parts of the human body. The dexterity provided by its multiple degrees of freedom enables us to perform many of the tasks of daily living which involve grasping and manipulating objects of…

机器人学 · 计算机科学 2018-10-19 Michelle Esponda , Thomas M. Howard

One of the most important research challenges in upper-limb prosthetics is enhancing the user-prosthesis communication to closely resemble the experience of a natural limb. As prosthetic devices become more complex, users often struggle to…

机器人学 · 计算机科学 2025-03-04 Giuseppe Stracquadanio , Federico Vasile , Elisa Maiettini , Nicolò Boccardo , Lorenzo Natale

Objective: For transradial amputees, robotic prosthetic hands promise to regain the capability to perform daily living activities. Current control methods based on physiological signals such as electromyography (EMG) are prone to yielding…

This study describes and evaluates i-GRIP, a novel movement intention estimator designed to facilitate the control of assistive devices for grasping tasks in individuals with upper limb impairments. Operating within a collaborative grasping…

定量方法 · 定量生物学 2024-10-10 Etienne Moullet , Justin Carpentier , Christine Azevedo Coste , François Bailly

Upper-extremity amputees who use myoelectric prostheses currently lack the haptic sensory information needed to perform dexterous activities of daily living. While considerable research has focused on restoring this haptic information,…

机器人学 · 计算机科学 2022-10-03 Kezi Li , Jeremy D. Brown

Upper limb and hand functionality is critical to many activities of daily living and the amputation of one can lead to significant functionality loss for individuals. From this perspective, advanced prosthetic hands of the future are…

机器人学 · 计算机科学 2021-03-09 Mo Han , Sezen Ya{ğ}mur Günay , Gunar Schirner , Taşkın Padır , Deniz Erdo{ğ}muş

Noninvasive human-machine interfaces such as surface electromyography (sEMG) have long been employed for controlling robotic prostheses. However, classical controllers are limited to few degrees of freedom (DoF). More recently, machine…

One of the most elusive goals in myographic prosthesis control is the ability to reliably decode continuous positions simultaneously across multiple degrees-of-freedom. Goal: To demonstrate dexterous, natural, biomimetic finger and wrist…

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