Research ArticleOpen accessPhrase 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 · 850 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 821 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 · 8,130 accessesView PDFCite
Research ArticleOpen accessIn the abstractPHASEY: 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 · 4,638 accessesView PDFCite
Research ArticleOpen accessIn the abstractSingularity Analysis of a Hybrid Serial-Cable Driven Planar RobotSamir Lahouar, Lotfi RomdhaneIn this study, we address the problem of singularities of a hybrid serial-cable driven planar robot. Based on an analytical kinetostatic analysis three types of singularities are determined, i.e., serial, parallel, and combined singularities. In addition, cable tensions should be positive, otherwise, the robot will be uncontrollable. The serial singularity corresponds to positions where the serial port of the robot … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 26 Sep 2022 · 5,604 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiometric 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 · 8,984 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiochemical Alterations in Zinc Deficient Sheep Associated by HyperlactatemiaAli Hafez El-FarBlood samples from diseased and clinically healthy Balady sheep of both sexes were collected and subjected for biochemical analysis of serum glucose, fructosamine, lactate, growth hormone, insulin, creatine phosphokinase, Lactate dehydrogenase and aldolase. The obtained results revealed a significant decrease in serum zinc and growth hormone were stated. In contrary, serum glucose and lactate, insulin, CPK, LDH and aldolase were … …American Journal of Animal and Veterinary Sciences, Vol. 8, Issue 3 · 30 Aug 2013 · 6,908 accessesView PDFCite