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Book of Abstracts Symposium President Board of Directors Editors
2012
XII International Symposium on 3D Analysis of Human Movement Technology & Treatment Bologna (Italy)
unpublished
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The aim of the present study was to collect longitudinally data from a large group of infants (>20) using inertial sensors over a 6-months period after the onset of independent walking. ...
Moreover, it will permit to observe when and how the development of pendulum mechanism occurs. ...
ACKNOWLEDGMENT This study was funded and supported by the University of Michigan Center for Occupational Health and Safety Engineering, the National Institute for Occupational Safety and Health, and the ...
fatcat:lomluaj4fjgbxminxnq7peolsi
The Natural Interactive Walking Project and Emergence of Its Results in Research on Rhythmic Walking Interaction and the Role of Footsteps in Affecting Body Ownership
2015
European Project Space on Intelligent Systems, Pattern Recognition and Biomedical Systems
unpublished
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role of auditory and haptic feedback in footstep simulations. ...
We chose elements of the project which are interesting in a broader context of interactive walking with audio and haptic feedback to present and discuss the developed systems for gait analysis and feedback ...
This work has been funded by CMU-Portuguese program through Fundação para a Ciência e Tecnologia, project AHA-Augmented Human Assistance, AHA, CMUP-ERI/HCI/0046/2013. ...
doi:10.5220/0006162100030024
fatcat:t54y6ekklzgjpaws7yeskmce3u
Proceedings SIAMOC 2019
2019
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THE GAIT DEFICIT IN PARKINSON DISEASE ACKNOWLEDGMENT The DoMoMEA Project is funded by Sardegna Ricerche with POR FESR 2014/2020 funds, Priority Axis I "Scientific Research, Technological Development and ...
METHODS We use a Kinect 2.0 and Leap Motion connected to a personal computer to acquire biometric data of SARA tasks (speech fluency, body movement of upper and lower limbs). ...
Diagnostic tools are of limited assistance for the diagnosis of dystonia, which remains based on clinical diagnostic skills. ...
doi:10.6092/unibo/amsacta/6260
fatcat:jgvyuuglhbaspgh7pvpnevb3om
A Deep-Learning Approach for Marker-less Stride Parameters Analysis with Two Cameras
[article]
2021
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Recent developments in deep-learning approaches to computer vision make possible new techniques for body segment and joint detection from photos and video frames. ...
Next, video streams captured from two RGB cameras are used as input, and OpenPose and HyperPose deep-learning frameworks are used to localize the main body key points, including the joints and skeleton ...
for classification of normal and abnormal gait using RGB camera" [31] These movement parameters include dynamic balance and movement harmony for each body element, namely, thorax, head, and arms. ...
doi:10.20381/ruor-26731
fatcat:7237aaa4p5f6bfkienjhf2qitm
A Storytelling-based Approach to Designing for the Needs of Ageing People
2020
Human Computer Interaction and Emerging Technologies: Adjunct Proceedings from the INTERACT 2019 Workshops
unpublished
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Acknowledgments This work is partially supported by the Italian Ministry of University and Research (MIUR) under grant PRIN 2017 "EMPATHY: EMpowering People in deAling with internet of THings ecosYstems ...
Acknowledgement We thank India Alliance and The African Academy of Sciences (AAS) for Opportunities for recommended mental health strategies to reduce stress at work 161 Acknowledgements I am thankful ...
As far as we know, there is no markerless device that aims accurately estimating joint angles in real-time to deduce articular capacities of the patient in the context of medical diagnosis support. ...
doi:10.18573/book3.a/
fatcat:h5ymj35h4radfpnoar3zhbh7ii