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The discrimination of human gestures using wearable solutions is extremely important as a supporting technique for assisted living, healthcare of the elderly and neurorehabilitation. This paper presents a mobile electromyography (EMG)…

Computer Vision and Pattern Recognition · Computer Science 2019-10-25 Enea Ceolini , Gemma Taverni , Lyes Khacef , Melika Payvand , Elisa Donati

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…

Robotics · Computer Science 2021-03-09 Mo Han , Sezen Ya{ğ}mur Günay , Gunar Schirner , Taşkın Padır , Deniz Erdo{ğ}muş

Surface electromyography (s-EMG) sensors are a promising way to control upper-limb prostheses. However a training session is necessary in order to set up the controller that will make s-EMG based movement possible. All data recorded during…

Other Quantitative Biology · Quantitative Biology 2015-11-25 Marco Lampacrescia

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…

An overview of the applications of control theory to prosthetic sense organs including the senses of vision, taste and odor is being presented in this paper. Simulation aspect nowadays has been the centre of research in the field of…

Robotics · Computer Science 2011-11-08 Biswarup Neogi , Soumya Ghosal , Soumyajit Mukherjee , Achintya Das , D. N. Tibarewala

Hand tracking is an important aspect of human-computer interaction and has a wide range of applications in extended reality devices. However, current hand motion capture methods suffer from various limitations. For instance, visual-based…

Computer Vision and Pattern Recognition · Computer Science 2023-09-18 Qiang Zhang , Yuanqiao Lin , Yubin Lin , Szymon Rusinkiewicz

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…

Robotics · Computer Science 2018-10-19 Michelle Esponda , Thomas M. Howard

Diagnostic activities, such as ultrasound scans and palpation, are relatively low-cost. They play a crucial role in the early detection of health problems and in assessing their progression. However, they are also error-prone activities,…

One of the most frequent and severe aftermaths of a stroke is the loss of upper limb functionality. Therapy started in the sub-acute phase proved more effective, mainly when the patient participates actively. Recently, a novel set of…

Robotics · Computer Science 2023-12-21 Marina Gnocco , Manuel G. Catalano , Giorgio Grioli , Carlo Trompetto , Antonio Bicchi

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

Surface electromyography (sEMG) signals hold significant potential for gesture recognition and robust prosthetic hand development. However, sEMG signals are affected by various physiological and dynamic factors, including forearm…

Signal Processing · Electrical Eng. & Systems 2024-11-27 Umme Rumman , Arifa Ferdousi , Bipin Saha , Md. Sazzad Hossain , Md. Johirul Islam , Shamim Ahmad , Mamun Bin Ibne Reaz , Md. Rezaul Islam

Recent human computer-interaction (HCI) studies using electromyography (EMG) and inertial measurement units (IMUs) for upper-limb gesture recognition have claimed that inertial measurements alone result in higher classification accuracy…

Signal Processing · Electrical Eng. & Systems 2020-11-16 Evan Campbell , Angkoon Phinyomark , Erik Scheme

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

This paper introduces a novel AI vision-enabled pediatric prosthetic hand designed to assist children aged 10-12 with upper limb disabilities. The prosthesis features an anthropomorphic appearance, multi-articulating functionality, and a…

Robotics · Computer Science 2025-04-29 Md Abdul Baset Sarker , Art Nguyen , Sigmond Kukla , Kevin Fite , Masudul H. Imtiaz

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…

Computer Vision and Pattern Recognition · Computer Science 2017-09-08 Andrea Gigli , Arjan Gijsberts , Valentina Gregori , Matteo Cognolato , Manfredo Atzori , Barbara Caputo

In this paper, we present our work on developing robot arm prosthetic via deep learning. Our work proposes to use transfer learning techniques applied to the Google Inception model to retrain the final layer for surface electromyography…

Signal Processing · Electrical Eng. & Systems 2020-05-06 David Lonsdale , Li Zhang , Richard Jiang

Objective: Multimodal hand gesture recognition (HGR) systems can achieve higher recognition accuracy compared to unimodal HGR systems. However, acquiring multimodal gesture recognition data typically requires users to wear additional…

Computer Vision and Pattern Recognition · Computer Science 2023-09-19 Wentao Wei , Linyan Ren

Existing robotic lower-limb prostheses use autonomous control to address cyclic, locomotive tasks, but they are inadequate to operate the prosthesis for daily activities that are non-cyclic and unpredictable. To address this challenge, this…

Robotics · Computer Science 2022-02-21 Chinmay Shah , Aaron Fleming , Varun Nalam , He , Huang

Surface electromyography (sEMG) is becoming exceeding useful in applications involving analysis of human motion such as in human-machine interface, assistive technology, healthcare and prosthetic development. The proposed work presents a…

Signal Processing · Electrical Eng. & Systems 2020-05-05 Karush Suri , Rinki Gupta

Wearable orthoses can function both as assistive devices, which allow the user to live independently, and as rehabilitation devices, which allow the user to regain use of an impaired limb. To be fully wearable, such devices must have…

Robotics · Computer Science 2018-02-02 Cassie Meeker , Sangwoo Park , Lauri Bishop , Joel Stein , Matei Ciocarlie