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Older adults and people suffering from neurodegenerative disease often experience difficulty controlling gait during locomotion, ultimately increasing their risk of falling. To combat these effects, researchers and clinicians have used…

Natural control of limb motion is continuous and progressively adaptive to individual intent. While intuitive interfaces have the potential to rely on the neuromuscular input by the user for continuous adaptation, continuous volitional…

Robotics · Computer Science 2021-04-05 M. Hassan Jahanandish , Kaitlin G. Rabe , Abhishek Srinivas , Nicholas P. Fey , Kenneth Hoyt

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…

An arm amputation is extremely invalidating since many of our daily tasks require bi-manual and precise control of hand movements. Perfect hand prostheses should therefore offer a natural, intuitive and cognitively simple control over their…

Neurons and Cognition · Quantitative Biology 2019-04-29 Nathanael Jarrasse , Caroline Nicol , Florian Richer , Amelie Touillet , Noël Martinet , Jean Paysant , Jozina de Graaf

Predicting lower limb motion intent is vital for controlling exoskeleton robots and prosthetic limbs. Surface electromyography (sEMG) attracts increasing attention in recent years as it enables ahead-of-time prediction of motion intentions…

Physical interaction between individuals plays an important role in human motor learning and performance during shared tasks. Using robotic devices, researchers have studied the effects of dyadic haptic interaction mostly focusing on the…

Robotics · Computer Science 2023-07-24 Emek Barış Küçüktabak , Yue Wen , Matthew Short , Efe Demirbaş , Kevin Lynch , Jose Pons

Sit-to-Stand (StS) is a fundamental daily activity that can be challenging for stroke survivors due to strength, motor control, and proprioception deficits in their lower limbs. Existing therapies involve repetitive StS exercises, but these…

Long Short-Term Memory (LSTM) neural networks have penetrated healthcare applications where real-time requirements and edge computing capabilities are essential. Gait analysis that detects abnormal steps to prevent patients from falling is…

Hardware Architecture · Computer Science 2026-04-16 Mohammad Hasan Ahmadilivani , Levent Aksoy , Mohammad Eslami , Jaan Raik , Alar Kuusik

In this paper, we present an integrated human-in-the-loop simulation paradigm for the design and evaluation of a lower extremity exoskeleton that is elastically strapped onto human lower limbs. The exoskeleton has 3 rotational DOFs on each…

Robotics · Computer Science 2020-06-08 Xianlian Zhou , Xinyu Chen

Powered ankle-foot prostheses can often reduce the energy cost of walking by assisting with push-off. However, focus on providing mechanical work may lead to ignoring or exacerbating common issues with chronic pain, irritation, pressure…

Robotics · Computer Science 2024-11-01 Mark A. Price , Frank C. Sup

A proportional iterative learning control (P-ILC) for linear models of an existing hybrid stroke rehabilitation scheme is implemented for elbow extension/flexion during a rehabilitative task. Owing to transient error growth problem of…

Without finger function, people with C5-7 spinal cord injury (SCI) regularly utilize wrist extension to passively close the fingers and thumb together for grasping. Wearable assistive grasping devices often focus on this familiar…

Robotics · Computer Science 2025-01-13 Erin Y. Chang , Andrew I. W. McPherson , Hannah S. Stuart

Many people living with neurological disorders, such as cerebral palsy, stroke, muscular dystrophy or dystonia experience upper limb impairments (muscle spasticity, loss of selective motor control, muscle weakness or tremors) and have…

The performance of upper-limb prostheses is currently limited by the relatively poor functionality of unintuitive control schemes. This paper proposes to extract, from multichannel electromyographic signals (EMG), motor neuron spike trains…

Signal Processing · Electrical Eng. & Systems 2019-10-22 Arash Andalib , Dario Farina , Ivan Vujaklija , Francesco Negro , Oskar C Aszmann , Rizwan Bashirullah , Jose C Principe

The identification of intentionally delivered commands is a challenge in Brain Computer Interfaces (BCIs) based on Sensory-Motor Rhythms (SMR). It is of fundamental importance that BCI systems controlling a robotic device (i.e., upper limb…

Human-Computer Interaction · Computer Science 2019-05-27 Tortora Stefano , Beraldo Gloria , Tonin Luca , Menegatti Emanuele

Recent advancements in legged locomotion research have made legged robots a preferred choice for navigating challenging terrains when compared to their wheeled counterparts. This paper presents a novel locomotion policy, trained using Deep…

Robotics · Computer Science 2023-05-04 Lokesh Kumar , Sarvesh Sortee , Titas Bera , Ranjan Dasgupta

Movement disorders, such as Parkinson's disease, affect more than 10 million people worldwide. Gait analysis is a critical step in the diagnosis and rehabilitation of these disorders. Specifically, step length provides valuable insights…

Signal Processing · Electrical Eng. & Systems 2022-05-03 Sizhe An , Yigit Tuncel , Toygun Basaklar , Gokul Krishna Krishnakumar , Ganapati Bhat , Umit Ogras

Cortical visual prostheses aim to restore sight by electrically stimulating neurons in early visual cortex (V1). With the emergence of high-density and flexible neural interfaces, electrode placement within three-dimensional cortex has…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Galen Pogoncheff , Alvin Wang , Jacob Granley , Michael Beyeler

Developing exoskeleton controllers that generalize across diverse locomotor conditions typically requires extensive motion-capture data and biomechanical labeling, limiting scalability beyond instrumented laboratory settings. Here, we…

Robotics · Computer Science 2026-03-05 Ilseung Park , Changseob Song , Inseung Kang

Gait asymmetry, a consequence of various neurological or physical conditions such as aging and stroke, detrimentally impacts bipedal locomotion, causing biomechanical alterations, increasing the risk of falls and reducing quality of life.…

Robotics · Computer Science 2025-02-07 Mahdi Chalaki , Abed Soleymani , Xingyu Li , Vivian Mushahwar , Mahdi Tavakoli