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相关论文: Evaluating Gait Symmetry with a Smart Robotic Walk…

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This study focuses on the velocity patterns of various body parts during walking and proposes a method for evaluating gait symmetry. Traditional motion analysis studies have assessed gait symmetry based on differences in electromyographic…

计算机视觉与模式识别 · 计算机科学 2025-05-19 Go Fukino , Kanta Tachibana

Gait abnormality detection is critical for the early discovery and progressive tracking of musculoskeletal and neurological disorders, such as Parkinson's and Cerebral Palsy. Especially, analyzing the foot-floor contacts during walking…

信号处理 · 电气工程与系统科学 2024-08-07 Yiwen Dong , Yuyan Wu , Hae Young Noh

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…

人机交互 · 计算机科学 2024-11-19 Hanieh Moradi , Yas Vaseghi , Arash Abbasi Larki , Akram Shojaei , Mehdi Delrobaei

Walking is one of the most common modes of terrestrial locomotion for humans. Walking is essential for humans to perform most kinds of daily activities. When a person walks, there is a pattern in it, and it is known as gait. Gait analysis…

人机交互 · 计算机科学 2022-08-04 Md Shahriar Tasjid , Ahmed Al Marouf

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…

机器人学 · 计算机科学 2026-02-24 Yifei Yuan , Ghaith Androwis , Xianlian Zhou

Parkinson's disease (PD) is a common neurodegenerative disease that affects motor and non-motor symptoms. Postural instability and freezing of gait (FOG) are considered motor symptoms of PD resulting in falling. In this study, we…

机器人学 · 计算机科学 2021-05-13 Abdul Ali , Rikuo Kawamoto , Tomohiro Shibata

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…

信号处理 · 电气工程与系统科学 2022-05-03 Sizhe An , Yigit Tuncel , Toygun Basaklar , Gokul Krishna Krishnakumar , Ganapati Bhat , Umit Ogras

Doppler radar systems enable unobtrusive and privacy-preserving long-term monitoring of human motions indoors. In particular, a person's gait can provide important information about their state of health. Utilizing micro-Doppler signatures,…

信号处理 · 电气工程与系统科学 2019-02-27 Ann-Kathrin Seifert , Abdelhak M. Zoubir , Moeness G. Amin

The study of biomechanics during locomotion provides valuable insights into the effects of varying conditions on specific movement patterns. This research focuses on examining the influence of different shoe parameters on walking…

Several pathologies can alter the way people walk, i.e. their gait. Gait analysis can therefore be used to detect impairments and help diagnose illnesses and assess patient recovery. Using vision-based systems, diagnoses could be done at…

计算机视觉与模式识别 · 计算机科学 2021-10-07 Pedro Albuquerque , Joao Machado , Tanmay Tulsidas Verlekar , Luis Ducla Soares , Paulo Lobato Correia

Measurement of stride-related, biomechanical parameters is the common rationale for objective gait impairment scoring. State-of-the-art double integration approaches to extract these parameters from inertial sensor data are, however,…

Gait asymmetry is a significant clinical characteristic of hemiplegic gait that most stroke survivors suffer, leading to limited mobility and long-term negative impacts on their quality of life. Although a variety of exoskeleton controls…

机器人学 · 计算机科学 2025-03-25 Yuepeng Qian , Jingfeng Xiong , Haoyong Yu , Chenglong Fu

Gait synchronization in pedestrians is influenced by biomechanical, environmental, and cognitive factors. Studying gait in ecological settings provides insights often missed in controlled experiments. This study tackles the challenges of…

物理与社会 · 物理学 2025-03-14 Adrien Gregorj , Zeynep Yücel , Francesco Zanlugo , Takayuki Kanda

Human gait can be a predictive factor for detecting pathologies that affect human locomotion according to studies. In addition, it is known that a high investment is demanded in order to raise a traditional clinical infrastructure able to…

信号处理 · 电气工程与系统科学 2021-10-13 T. R. D. Sa , C. M. S. Figueiredo

Estimation of temporospatial clinical features of gait (CFs), such as step count and length, step duration, step frequency, gait speed, and distance traveled, is an important component of community-based mobility evaluation using wearable…

Wearable technology for the automatic detection of gait events has recently gained growing interest, enabling advanced analyses that were previously limited to specialist centres and equipment (e.g., instrumented walkway). In this study, we…

信号处理 · 电气工程与系统科学 2020-09-01 Matteo Gadaleta , Giulia Cisotto , Michele Rossi , Rana Zia Ur Rehman , Lynn Rochester , Silvia Del Din

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…

神经元与认知 · 定量生物学 2014-10-13 Philippe Terrier , Fabienne Reynard

Accurate diagnosis of gait impairments is often hindered by subjective or costly assessment methods, with current solutions requiring either expensive multi-camera equipment or relying on subjective clinical observation. There is a critical…

计算机视觉与模式识别 · 计算机科学 2024-12-03 Lauhitya Reddy , Ketan Anand , Shoibolina Kaushik , Corey Rodrigo , J. Lucas McKay , Trisha M. Kesar , Hyeokhyen Kwon

Over the past few years, the division of gait phases has emerged as a complex area of research that carries significant importance for various applications in the field of gait technologies. The accurate partitioning of gait phases plays a…

机器人学 · 计算机科学 2023-10-17 Barath Kumar JK , Aswadh Khumar G S

Get-Up-and-Go Test is commonly used for assessing the physical mobility of the elderly by physicians. This paper presents a method for automatic analysis and classification of human gait in the Get-Up-and-Go Test using a Microsoft Kinect…

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