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    PVC/MXene electrospun film triboelectric nanogenerator for efficient mechanical energy harvesting and multifunctional human motion sensing by Lina Liu, Weiqiu Zhu, Haotian Ma, Junyu Zhou

    Published 2025-01-01
    “…Wearable devices for human motion monitoring have garnered significant attention in recent years. …”
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    Article
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    HEVERL – Viewport Estimation Using Reinforcement Learning for 360-degree Video Streaming by Nguyen Viet Hung, Pham Tien Dat, Nguyen Tan, Nguyen Anh Quan, Le Thi Huyen Trang, Le Mai Nam

    Published 2025-01-01
    “…Furthermore, our approach is augmented by a thorough analysis of human head and facial movement behaviors. By leveraging these insights, we have developed a reinforcement learning model specifically designed to anticipate user view directions and improve the experience quality in targeted regions. …”
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    Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications by Anuja Phalle, Devaki Gokhale

    Published 2025-01-01
    “…All studies exploring applications of AI-assisted dietary assessment tools with human participation were included; While methodological/developmental research and studies without human participants were excluded as this review specifically aimed to explore their applications in real-world scenarios for clinical purposes. …”
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    The Bioethics-CSR Divide by Caio Caesar Dib

    Published 2024-03-01
    “… [36] David Kennedy, “The International Human Rights Movement: Part of the Problem?,” Harvard Human Rights Journal 15 (2002): 101–25…”
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    Motion Smoothness Analysis of the Gait Cycle, Segmented by Stride and Associated with the Inertial Sensors’ Locations by Leonardo Eliu Anaya-Campos, Luis Pastor Sánchez-Fernández, Ivett Quiñones-Urióstegui

    Published 2025-01-01
    “…Portable monitoring devices based on Inertial Measurement Units (IMUs) have the potential to serve as quantitative assessments of human movement. …”
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    Article
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    The Attention Mechanism Performance Analysis for Football Players Using the Internet of Things and Deep Learning by Chuan Mou

    Published 2024-01-01
    “…This work proposes a novel Class Aware Network (CANet) for analyzing football player performance by decoding their body movements. Firstly, the role of the Internet of Things in football sports analysis and the advantages of deep learning techniques are introduced. …”
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    A Novel Telerehabilitation System for Physical Exercise Monitoring in Elderly Healthcare by Muhammad Abrar Ashraf, Shaheryar Najam, Touseef Sadiq, Shabbab Algamdi, Hanan Aljuaid, Hameedur Rahman, Ahmad Jalal

    Published 2025-01-01
    “…Advanced feature extraction techniques, including Synchrosqueezing Transform (SST) and Hilbert-Huang Transform (HHT), are employed to capture dynamic time-frequency characteristics of human actions. The proposed system classifies nine distinct exercises and assesses the correctness of movements. …”
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    Embodiment, Multimodality, and Composition: Convergent Themes across HCI and Education for Mixed-Reality Learning Environments by David Birchfield, Harvey Thornburg, M. Colleen Megowan-Romanowicz, Sarah Hatton, Brandon Mechtley, Igor Dolgov, Winslow Burleson

    Published 2008-01-01
    “…SMALLab is a mixed-reality environment where students collaborate and interact with sonic and visual media through full-body, 3D movements in an open physical space. SMALLab emphasizes human-to-human interaction within a multimodal, computational context. …”
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