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Traditional approaches to measurement in upper-limb therapy have gaps that electronic sensing and recording can help fill. We highlight shortcomings in current kinematic recording devices, and we introduce a wrist sensing device that…

Robotics · Computer Science 2024-11-20 Jacob Carducci , Jeremy D. Brown

Due to hemiparesis, stroke survivors frequently develop a dysfunctional gait that is often characterized by an overall decrease in walking speed and a unilateral decrease in step length. With millions currently affected by this…

Robotics · Computer Science 2025-12-04 Vaughn Chambers , Panagiotis Artemiadis

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…

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

Unilateral muscle weakness often leads to asymmetric gait, disrupting interlimb coordination and stance timing. This study presents a reinforcement learning (RL) based musculoskeletal simulation framework to (1) quantify how progressive…

Robotics · Computer Science 2026-02-24 Yifei Yuan , Ghaith Androwis , Xianlian Zhou

Preferred walking speed is a widely-used performance measure for people with mobility issues, but is usually measured in straight line walking for fixed distances or durations. However, daily walking involves walking for bouts of different…

Quantitative Methods · Quantitative Biology 2022-04-27 Nidhi Seethapathi , Anil Kumar Jain , Manoj Srinivasan

Gait rehabilitation interventions targeting paretic propulsion can improve walking speed and function in individuals post-stroke. Previous work has demonstrated that real-time biofeedback targeting anterior ground reaction forces (AGRFs)…

Human-Computer Interaction · Computer Science 2026-01-21 Cameron A. Nurse , Kelly Breen , Matthew McGuire , Sara Prokup , Arun Jayaraman , Quentin Sanders

Falls during walking are a major health issue in the elderly population. Older individuals are usually more cautious, work more slowly, take shorter steps, and exhibit increased step-to-step variability. They often have impaired dynamic…

Neurons and Cognition · Quantitative Biology 2014-10-13 Philippe Terrier , Fabienne Reynard

This study explored the potential of gait analysis as a tool for assessing post-injury complications, e.g., infection, malunion, or hardware irritation, in patients with lower extremity fractures. The research focused on the proficiency of…

Machine Learning · Computer Science 2023-09-29 Mostafa Rezapour , Rachel B. Seymour , Stephen H. Sims , Madhav A. Karunakar , Nahir Habet , Metin Nafi Gurcan

Upper extremity motor impairment affects about 80\% of persons after strokes. For stroke rehabilitation, upper limb kinematic assessments have increasingly been used as primary or secondary outcome measures. Studying the upper extremity…

Quantitative Methods · Quantitative Biology 2023-05-18 Khadija F. Zaidi , Michelle Harris-Love

Proprioception is comprised of sensory input from several sources including muscle spindles, joint capsule, ligaments and skin. The purpose of the present experiment was to investigate whether the central nervous system was able to…

Medical Physics · Physics 2007-05-23 Nicolas Vuillerme , Olivier Chenu , Jacques Demongeot , Yohan Payan

Legged robots can traverse a wide variety of terrains, some of which may be challenging for wheeled robots, such as stairs or highly uneven surfaces. However, quadruped robots face stability challenges on slippery surfaces. This can be…

Bi-directional brain computer interfaces (BD-BCIs) may restore brain-controlled walking and artificial leg sensation after spinal cord injury. Current BD-BCIs provide only simplistic "tingling" feedback, which lacks proprioceptive…

Advances in wearable robotics challenge the traditional definition of human motor systems, as wearable robots redefine body structure, movement capability, and perception of their own bodies. We measured gait performance and perceived body…

Robotics · Computer Science 2025-07-30 I-Chieh Lee , He Huang

We studied the performance of a robotic orthosis designed to assist the paretic hand after stroke. It is wearable and fully user-controlled, serving two possible roles: as a therapeutic tool that facilitates device mediated hand exercises…

Optimization of energy cost determines average values of spatio-temporal gait parameters such as step duration, step length or step speed. However, during walking, humans need to adapt these parameters at every step to respond to exogenous…

Biological Physics · Physics 2017-03-17 Klaudia Kozlowska , Miroslaw Latka , Bruce J. West

In humans, body segments' position and movement can be estimated from multiple senses such as vision and proprioception. It has been suggested that vision and proprioception can influence each other and that upper-limb proprioception is…

Neurons and Cognition · Quantitative Biology 2023-06-28 Najib Abi Chebel , Florence Gaunet , Pascale Chavet , Christine Assaiante , Christophe Bourdin , Fabrice Sarlegna

Recognizing and identifying human locomotion is a critical step to ensuring fluent control of wearable robots, such as transtibial prostheses. In particular, classifying the intended locomotion mode and estimating the gait phase are key. In…

Robotics · Computer Science 2024-11-14 Ryan Posh , Shenggao Li , Patrick Wensing

In-situ robotic exploration is an important tool for advancing knowledge of geological processes that describe the Earth and other Planetary bodies. To inform and enhance operations for these roving laboratories, it is imperative to…

Robotics · Computer Science 2025-09-29 Ethan Fulcher , J. Diego Caporale , Yifeng Zhang , John Ruck , Feifei Qian

Dynamic prediction of locomotor capacity after stroke could enable more individualized rehabilitation, yet current assessments largely provide static impairment scores and do not indicate whether patients can perform specific tasks such as…

Computational Engineering, Finance, and Science · Computer Science 2026-01-06 Yanning Dai , Chenyu Tang , Ruizhi Zhang , Wenyu Yang , Yilan Zhang , Yuhui Wang , Junliang Chen , Xuhang Chen , Ruimou Xie , Yangyue Cao , Qiaoying Li , Jin Cao , Tao Li , Hubin Zhao , Yu Pan , Arokia Nathan , Xin Gao , Peter Smielewski , Shuo Gao
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