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Mobility impairment caused by limb loss is a significant challenge faced by millions of individuals worldwide. The development of advanced assistive technologies, such as prosthetic devices, has the potential to greatly improve the quality…

Machine Learning · Computer Science 2024-03-13 Sharmita Dey , Sarath R. Nair

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 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

Wearable robotic hand rehabilitation devices can allow greater freedom and flexibility than their workstation-like counterparts. However, the field is generally lacking effective methods by which the user can operate the device: such…

Robotics · Computer Science 2019-01-14 Sangwoo Park , Cassie Meeker , Lynne M. Weber , Lauri Bishop , Joel Stein , Matei Ciocarlie

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

Visual feedback plays a crucial role in the process of amputation patients completing grasping in the field of prosthesis control. However, for blind and visually impaired (BVI) amputees, the loss of both visual and grasping abilities makes…

Robotics · Computer Science 2023-08-15 Chunhao Peng , Dapeng Yang , Ming Cheng , Jinghui Dai , Deyu Zhao , Li Jiang

Sensory feedback is critical to the performance of neural prostheses that restore movement control after neurological injury. Recent advances in direct neural control of paralyzed arms present new requirements for miniaturized, low-power…

Many people suffer from the loss of a limb. Learning to get by without an arm or hand can be very challenging, and existing prostheses do not yet fulfil the needs of individuals with amputations. One promising solution is to provide greater…

Artificial Intelligence · Computer Science 2014-08-11 Adam S. R. Parker , Ann L. Edwards , Patrick M. Pilarski

We here present work a generalized low-level technical framework aimed to provide musical biofeedback in post-stroke balance and gait rehabilitation, built by an iterative user-centered process. The framework comprises wireless wearable…

Human-Computer Interaction · Computer Science 2020-12-02 Prithvi Kantan , Erika G. Spaich , Sofia Dahl

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

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…

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

This manuscript presents control of a high-DOF fully actuated lower-limb exoskeleton for paraplegic individuals. The key novelty is the ability for the user to walk without the use of crutches or other external means of stabilization. We…

Smart assistive technologies such as sensor-based footwear and walking aids offer promising opportunities for gait rehabilitation through real-time feedback and patient-centered monitoring. While biofeedback applications show great…

Human-Computer Interaction · Computer Science 2025-12-16 Stefan Resch , André Kousha , Anna Carroll , Noah Severinghaus , Felix Rehberg , Marco Zatschker , Yunus Söyleyici , Daniel Sanchez-Morillo

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…

Ankle push-off largely contributes to limb energy generation in human walking, leading to smoother and more efficient locomotion. Providing this net positive work to an amputee requires an active prosthesis, but has the potential to enable…

Robotics · Computer Science 2022-09-29 Rachel Gehlhar , Aaron D. Ames

Precise and elegant coordination of a prosthesis across many degrees of freedom represents a significant challenge to efficient rehabilitation of people with limb deficiency. Processing the electrical neural signals, collected from the…

Quantum Physics · Physics 2015-02-16 Michael Siomau , Ning Jiang

The issues of research required in the field of bio medical engineering and externally-powered prostheses are attracting attention of regulatory bodies and the common people in various parts of the globe. Today, 90 percent of prostheses…

Human-Computer Interaction · Computer Science 2014-01-22 Fahad Moazzam Dar , Umer Asgher , Daniyal Malik , Emmad Adil , Hassan Shahzad , Anees Ali

State-of-the-art upper limb myoelectric prostheses often use pattern recognition (PR) control systems that translate electromyography (EMG) signals into desired movements. As prosthesis movement complexity increases, users often struggle to…

We describe the architecture of an original biofeedback system for balance improvement for fall prevention and present results of a feasibility study. The underlying principle of this biofeedback consists of providing supplementary…

Neurons and Cognition · Quantitative Biology 2008-12-18 Nicolas Vuillerme , Nicolas Pinsault , Olivier Chenu , Anthony Fleury , Yohan Payan , Jacques Demongeot

Lower limb amputations and neuromuscular impairments severely restrict mobility, necessitating advancements beyond conventional prosthetics. While motorized bionic limbs show promise, their effectiveness depends on replicating the dynamic…

Machine Learning · Computer Science 2025-06-06 Sharmita Dey , Benjamin Paassen , Sarath Ravindran Nair , Sabri Boughorbel , Arndt F. Schilling
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