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Related papers: Vision Controlled Sensorized Prosthetic Hand

200 papers

Building robotic prostheses requires a sensor-based interface designed to provide the robotic hand with the control required to perform hand gestures. Traditional Electromyography (EMG) based prosthetics and emerging alternatives often face…

Robotics · Computer Science 2025-07-15 Dean Zadok , Oren Salzman , Alon Wolf , Alex M. Bronstein

Regressively-based surface electromyography (sEMG) prosthetics are widely used for their ability to continuously convert muscle activity into finger force and motion. However, they typically require additional kinematic or dynamic sensors,…

Robotics · Computer Science 2025-11-21 Gang Liu , Ye Sun , Zhenxiang Wang , Chuanmei Xi , Ziyang He , Shanshan Guo , Rui Zhang , Dezhong Yao

Our research investigates vibrotactile perception in four prosthetic hands with distinct kinematics and mechanical characteristics. We found that rigid and simple socket-based prosthetic devices can transmit tactile information and…

The electromyography (EMG) signal is the electrical manifestation of a neuromuscular activation that provides access to physiological processes which cause the muscle to generate force and produce movement. Non invasive prostheses use such…

Machine Learning · Computer Science 2015-11-20 Mara Graziani

The integration of advanced control strategies into prosthetic hands is essential to improve their adaptability and performance. In this study, we present an implementation of a Model Predictive Control (MPC) strategy to regulate the…

Robotics · Computer Science 2025-10-24 Francesco Schetter , Shifa Sulaiman , Shoby George , Paolino De Risi , Fanny Ficuciello

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…

Robotics · Computer Science 2024-11-26 Mosab Diab , Ashraf Mohammed , Yinlai Jiang

Hand gesture recognition is becoming a more prevalent mode of human-computer interaction, especially as cameras proliferate across everyday devices. Despite continued progress in this field, gesture customization is often underexplored.…

Human-Computer Interaction · Computer Science 2024-10-04 Soroush Shahi , Vimal Mollyn , Cori Tymoszek Park , Richard Kang , Asaf Liberman , Oron Levy , Jun Gong , Abdelkareem Bedri , Gierad Laput

Handheld kinesthetic haptic interfaces can provide greater mobility and richer tactile information as compared to traditional grounded devices. In this paper, we introduce a new handheld haptic interface which takes input using…

Systems and Control · Electrical Eng. & Systems 2023-09-07 Megh Vipul Doshi , Michael Hagenow , Robert Radwin , Michael Gleicher , Bilge Mutlu , Michael Zinn

Capacitive pressure sensors have several advantages in areas such as robotics, automation, aerospace, biomedical and consumer electronics. We present mathematical modelling, finite element analysis (FEA), fabrication and experimental…

The Electromyography (EMG) signal is the electrical activity produced by cells of skeletal muscles in order to provide a movement. The non-invasive prosthetic hand works with several electrodes, placed on the stump of an amputee, that…

Machine Learning · Computer Science 2016-05-25 Valentina Gregori

In this work, we introduce the EyeSight Hand, a novel 7 degrees of freedom (DoF) humanoid hand featuring integrated vision-based tactile sensors tailored for enhanced whole-hand manipulation. Additionally, we introduce an actuation scheme…

Robotics · Computer Science 2024-08-13 Branden Romero , Hao-Shu Fang , Pulkit Agrawal , Edward Adelson

Compared to rigid hands, underactuated compliant hands offer greater adaptability to object shapes, provide stable grasps, and are often more cost-effective. However, they introduce uncertainties in hand-object interactions due to their…

Robotics · Computer Science 2025-03-04 Osher Azulay , Dhruv Metha Ramesh , Nimrod Curtis , Avishai Sintov

Unlike traditional robotic hands, underactuated compliant hands are challenging to model due to inherent uncertainties. Consequently, pose estimation of a grasped object is usually performed based on visual perception. However, visual…

Robotics · Computer Science 2024-01-18 Osher Azulay , Inbar Ben-David , Avishai Sintov

Surface electromyography is a valid tool to gather muscular contraction signals from intact and amputated subjects. Electromyographic signals can be used to control prosthetic devices in a noninvasive way distinguishing the movements…

Machine Learning · Computer Science 2015-11-25 Francesca Giordaniello

The incorporation of advanced control algorithms into prosthetic hands significantly enhances their ability to replicate the intricate motions of a human hand. This work introduces a model-based controller that combines an Artificial Neural…

Robotics · Computer Science 2026-01-14 Shifa Sulaiman , Francesco Schetter , Mehul Menon , Fanny Ficuciello

Upper-limb amputees face tremendous difficulty in operating dexterous powered prostheses. Previous work has shown that aspects of prosthetic hand, wrist, or elbow control can be improved through "intelligent" control, by combining…

Robotics · Computer Science 2025-05-13 Shivani Guptasarma , Monroe D. Kennedy

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,…

Robotics · Computer Science 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…

Robotics · Computer Science 2022-11-18 Neha Thomas , Farimah Fazlollahi , Jeremy D. Brown , Katherine J. Kuchenbecker

Many amputees throughout the world are left with limited options to personally own a prosthetic arm due to the expensive cost, mechanical system complexity, and lack of availability. The three main control methods of prosthetic hands are:…

Artificial Intelligence · Computer Science 2021-03-04 Alishba Imran , William Escobar , Freidoon Barez

Objective: The next generation prosthetic hand that moves and feels like a real hand requires a robust neural interconnection between the human minds and machines. Methods: Here we present a neuroprosthetic system to demonstrate that…