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Sensor-Based Activity Recognition and Artificial Intelligence
This book constitutes the proceedings of the 9th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2024, held in Potsdam, Germany, during September 26–27, 2024.
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iWOAR 2017, 4th International Workshop on Sensor-based Activity Recognition and Interaction
, 2022 Ubiquitous systems are becoming an integral part of our everyday lives. Functionality and user experience often depends on accurate, sensor-based activity recognition and interaction. Systems aiming to provide the user with assistance or to monitor their
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FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
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pH‐mediated activation of the lysosomal arginine sensor SLC38A9
FEBS Letters, EarlyView.Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
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Machine Learning approach to sport activity recognition from inertial data [PDF]
, 2022 In this thesis we consider an Activity recognition problem for Cross-Country Skiing; the goal of this work is to recognize different types of Cross Country techniques from inertial sensors equipped on a wear- able device.
Minetto, Luca
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FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
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Gait Recognition by Dynamic Cues
, 2008 Many studies have now shown that it is possible to recognize people by the way they walk. As yet there has been little formal study of people recognition using the kinematic-related gait features.
Mark S. Nixon +3 more
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The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
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User Activity Related Data Sets for Context Recognition [PDF]
, 2004 . The use of body-worn sensors for recognizing a person’s context has gained much popularity recently. For the development of suitable context recognition approaches and their evaluation, real-world data is essential.
Lukowicz, Paul +3 more
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Activity recognition using binary tree SVM
, 2014 This paper presents an effective classification method based on Support Vector Machines (SVM) in the context of activity recognition. Local features that capture both spatial and temporal information in activity videos have made significant progress ...
Denman, Simon +7 more
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