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20 articles for “gait”
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Research ArticleOpen accessEvery word in the titleGait Analysis Combining Sports Biomechanics and ImagingChao ZhuAiming at the problems of marker positioning error, soft tissue interference, and insufficient personalized modeling ability in traditional gait analysis, this study proposes a gait assessment method that integrates sports biomechanics and multimodal imaging analysis. Firstly, based on the public OU-ISIR gait database, a Convolutional Neural Network (CNN) is used to extract the key gait features in the human silhouette … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 20 Jul 2026 · 858 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePHASEY: A Contrastive Learning Approach for Enhanced Human Gait Phases RecognitionUrvashi, Deepak Kumar, Vinay Kukreja, Ayush DograHuman gait has gained much attention in behavioral biometrics as it possesses unique and distinctive characteristics. Gait phases, which describe the different patterns of human walking, are significant for the analysis and understanding of movement in an individual. Hence, the identification of gait phases is important for the accurate determination and interpretation of walking patterns, ranging from healthcare and security … …Journal of Computer Science, Vol. 21, Issue 8 · 16 Sep 2025 · 4,643 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBiometric Gait Recognition Based on Machine Learning AlgorithmsMohamed SayedIt is crucial to find methods that analyze large amount of data captured by cameras and/or various sensors installed all around us. Machine learning becomes a prevailing tool in analyzing such data that signifies behavioral characteristics of human beings. Gait as an identifier for use in individual recognition systems has respective and almost certainly unique key features for each person … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 8,989 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleReview on Vision-Based Gait Recognition: Representations, Classification Schemes and DatasetsChin Poo Lee, Alan Wee Chiat Tan, Kian Ming LimGait has unique advantage at a distance when other biometrics cannot be used since they are at too low resolution or obscured, as commonly observed in visual surveillance systems. This paper provides a survey of the technical advancements in vision-based gait recognition. A wide range of publications are discussed in this survey embracing different perspectives of the research in this … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 6 Feb 2017 · 8,253 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnxiety-Focused Classification Using Smartphone-Based Gait Analysis and Deep Learning ModelsMinchan Kang, Gou-Sung Degbey, Hyunhwa Lee et al.Mood disorders, such as anxiety, significantly impact individual well-being and present challenges to healthcare systems globally. Traditional screening methods, including self-administered symptom questionnaires, provide valuable insights into symptoms but may miss dynamic fluctuations. This study explores the potential of smartphone inertial sensors and deep learning models for anxiety risk classification. Using gait data from 36 participants, collected via smartphone accelerometers … …Journal of Computer Science, Vol. 22, Issue 7 · 16 Jul 2026 · 826 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGait Optimization of Biped Robot during Double Support Phase by Pure Dynamic SynthesisNima Jamshidi, Mostafa RostamiThis paper deals with dynamic optimization of biped locomotion. The main focus of this research is motion optimization of double support phase. The optimization problem is dealt by using Pontryagins Maximum Principal. For motion optimization of double support phase, the closed kinematic chain has been considered to be opened at appropriate joint and the components of ground reaction forces has … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,130 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAssessment of Risk of Falls in Elderly Patients with Osteoarthritis of the Knee and Low Back PainVictor Hugo do Vale Bastos, Marco Antonio Araujo Leite, Marco Orsini et al.This study aimed identify which groups of elderly are at higher risk of falls, with osteoarthritis (OA), low back pain or both conditions. 29 elderly were distributed in three groups: OA of the Knee (OAK), Low Back Pain (LBP) and the two events concomitantly (OL). Evaluation tools applied were: Mini Mental State Examination (MMSE), Visual Analogue Scale (VAS), Western Ontario … …Current Research in Medicine, Vol. 3, Issue 2 · 30 Aug 2012 · 7,276 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Navigation Algorithm for Hexagonal Hexapod RobotMohiuddin Ahmed, Md. Raisuddin Khan, Md. Masum Billah, Soheli FarhanaProblem statement: Wheeled robots are not very well suited for navigation over uneven terrains. Hexapod robots have some advantages over wheeled robots when negotiating and navigating on rugged terrain. Approach: Different gaits of hexapods can be developed for different kinds of locomotion and obstacle avoidance. Results: In this research a novel algorithm has been developed for hexapod robots navigation. Conclusion: … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 7,874 accessesView PDFCite
Research ArticleOpen accessIn the keywordsKinematics Model of Snake Robot Considering Snake ScaleRaisuddin Khan, M. Watanabe, A. A. ShafieProblem statement: In snake robot research, one of the most efficient forms of locomotion is the lateral undulation. However, lateral undulation, also known as serpentine locomotion, is ill-suited for narrow spaces, as the body of the snake must assume a certain amount of curvature to propel forward. Approach: To overcome the inability to adapt to narrow spaces, a novel type … …American Journal of Applied Sciences, Vol. 7, Issue 5 · 31 May 2010 · 8,138 accessesView PDFCite
Research ArticleOpen accessIn the author namesTowards a Higher Learning Motivation among Malaysian Undergraduate Students - A Case Study of Motivation Change in Malaysian Undergraduate Students after the Global Study Program (GSP) in JapanLim Way Soong, Leow Meng Chew, Lim Chot Hun et al.This research paper outlines the Malaysian and Japanese undergraduate students' learning motivation, before and after joining a Global Study Program (GSP) held in Chiba University, Japan from 14 March-28 March 2016. A total of 15 Malaysian undergraduate students from Multimedia University, consisting of 2nd year to 4th year students, joined the GSP together with 15 Japanese 1st year to 4th … …American Journal of Applied Sciences, Vol. 14, Issue 8 · 19 Aug 2017 · 8,107 accessesView PDFCite