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Related papers: Therapist-Exoskeleton-Patient Interaction for Gait…

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This study investigates whether adding ground compliance to visual feedback (VF) gait training is more effective at increasing push-off force (POF) compared to using VF alone, with implications for gait rehabilitation. Ten healthy…

Robotics · Computer Science 2025-12-09 Bradley Hobbs , Panagiotis Artemiadis

With rapid advancements in exoskeleton hardware technologies, successful assessment and accurate control remain challenging. This study introduces a modular sensor-based system to enhance biomechanical evaluation and control in lower-limb…

Robotics · Computer Science 2024-12-20 Giorgos Marinou , Ibrahima Kourouma , Katja Mombaur

To reproduce natural standing-up motion, recent studies have emphasized the importance of coordination between the assisting robot and the human. However, many non-wearable assistive devices have struggled to replicate natural motion…

Neurons and Cognition · Quantitative Biology 2025-05-20 Atsuya Kusui , Susumu Hirai , Asuka Takai

To improve the understanding of human gait and to facilitate novel developments in gait rehabilitation, the neural correlates of human gait as measured by means of non-invasive electroencephalography (EEG) have been investigated recently.…

Neurons and Cognition · Quantitative Biology 2020-03-03 Cornelia Herbert , Jan Nachtsheim , Michael Munz

Squatting is one of the most demanding lower-limb movements, requiring substantial muscular effort and coordination. Reducing the physical demands of this task through intelligent and personalized assistance has significant implications,…

Robotics · Computer Science 2026-02-23 Neethan Ratnakumar , Mariya Huzaifa Tohfafarosh , Saanya Jauhri , Xianlian Zhou

At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Moreover, the lack of integrated solutions capable of simultaneously monitoring…

In today's world, many patients with cognitive impairments and motor dysfunction seek the attention of experts to perform specific conventional therapies to improve their situation. However, due to a lack of neurorehabilitation…

Human-Computer Interaction · Computer Science 2022-06-06 Rhythm Arora , Matteo Lavit Nicora , Pooja Prajod , Daniele Panzeri , Elisabeth André , Patrick Gebhard , Matteo Malosio

The objective assessment of gait kinematics is crucial in evaluating human movement, informing clinical decisions, and advancing rehabilitation and assistive technologies. Assessing gait symmetry, in particular, holds significant importance…

Human-Computer Interaction · Computer Science 2024-11-19 Hanieh Moradi , Yas Vaseghi , Arash Abbasi Larki , Akram Shojaei , Mehdi Delrobaei

Precision rehabilitation aims to tailor movement training to improve outcomes. We tested whether proprioceptively-tailored robotic training improves hand function and neural processing in stroke survivors. Using a robotic finger…

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

Physical Human-Humanoid Interaction (pHHI) is a rapidly advancing field with significant implications for deploying robots in unstructured, human-centric environments. In this review, we examine the current state of the art in pHHI through…

Robotics · Computer Science 2026-05-19 Gustavo A. Cardona , Shubham S. Kumbhar , Panagiotis Artemiadis

The fractality of human gait, namely, the long-range correlation that characterizes scale-free fluctuations of gait descriptors, such as the stride intervals during steady-state walking, depends on the well-tuned organization of the…

Adaptation and Self-Organizing Systems · Physics 2021-09-07 Chunjiang Fu , Yasuyuki Suzuki , Pietro Morasso , Taishin Nomura

This letter presents a physical human-robot interaction scenario in which a robot guides and performs the role of a teacher within a defined dance training framework. A combined cognitive and physical feedback of performance is proposed for…

The sit-to-stand movement is a key feature for wide adoption of powered lower limb orthoses for patients with complete paraplegia. In this paper we study the control of the ascending phase of the sit-to-stand movement for a minimally…

Systems and Control · Computer Science 2020-11-26 Octavio Narvaez-Aroche , Pierre-Jean Meyer , Stephen Tu , Andrew Packard , Murat Arcak

Many kinds of lower-limb exoskeletons were developed for walking assistance. However, when controlling these exoskeletons, time-delay due to the computation time and the communication delays is still a general problem. In this research, we…

Robotics · Computer Science 2020-08-07 Ming Ding , Mikihisa Nagashima , Sung-Gwi Cho , Jun Takamatsu , Tsukasa Ogasawara

Quantitative estimation of human joint motion in daily living spaces is essential for early detection and rehabilitation tracking of neuromusculoskeletal disorders (e.g., Parkinson's) and mitigating trip and fall risks for older adults.…

Human-Computer Interaction · Computer Science 2025-03-24 Yiwen Dong , Jessica Rose , Hae Young Noh

This study presents the design and the kinematic optimization of a novel, underactuated, linkage-based robotic hand exoskeleton to assist users in performing grasping tasks. The device has been designed to apply only normal forces to the…

Robotics · Computer Science 2020-05-11 Mine Sarac , Massimiliano Solazzi , Edoardo Sotgiu , Massimo Bergamasco , Antonio Frisoli

This paper presents GARD, an upper limb end-effector rehabilitation device developed for stroke patients. GARD offers assistance force along or towards a 2D trajectory during physical therapy sessions. GARD employs a non-backdrivable…

Robotics · Computer Science 2024-12-09 Fulan Li , Yunfei Guo , Wenda Xu , Weide Zhang , Fangyun Zhao , Baiyu Wang , Huaguang Du , Chengkun Zhang

Prosthesis users can regain partial limb functionality, however, full natural limb mobility is rarely restored, often resulting in compensatory movements that lead to discomfort, inefficiency, and long-term physical strain. To address this…

Robotics · Computer Science 2025-08-15 Marta Lagomarsino , Robin Arbaud , Francesco Tassi , Arash Ajoudani

Telerehabilitation systems for stroke survivors have been predominantly designed to measure and quantify movement in order to guide and encourage rehabilitation regular exercises at home. We set out to study what aspect of the movement data…

Human-Computer Interaction · Computer Science 2021-02-18 Adegboyega Akinsiku , Ignacio Avellino , Yasmin Graham , Helena M. Mentis