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Hossein Shahverdi, Mohammad Nabati, Parisa Fard Moshiri, Reza Asvadi and Seyed Ali Ghorashi
Human Activity Recognition (HAR) has been a popular area of research in the Internet of Things (IoT) and Human?Computer Interaction (HCI) over the past decade. The objective of this field is to detect human activities through numeric or visual representa...
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Mariolino De Cecco, Alessandro Luchetti, Isidro Butaslac III, Francesco Pilla, Giovanni Maria Achille Guandalini, Jacopo Bonavita, Monica Mazzucato and Kato Hirokazu
In rehabilitation settings that exploit Mixed Reality, a clinician risks losing empathy with the patient by being immersed in different worlds, either real and/or virtual. While the patient perceives the rehabilitation stimuli in a mixed real?virtual wor...
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Fu-Cheng Wang, Szu-Fu Chen, You-Chi Li, Chih-Jen Shih, Ang-Chieh Lin and Tzu-Tung Lin
This paper investigates the effectiveness of using an automatic NDT trainer for the clinical rehabilitation of stroke patients.
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Muhammad Aslam, Muhammad Umer Shehzad, Ahsan Ali, Nazam Ali, Krisada Chaiyasan, Husnain Tahir, Panuwat Joyklad and Qudeer Hussain
The present study focused on the development and application of two computer numerical models, namely, a seepage model developed using SEEP/W software and a groundwater model developed using Visual MODFLOW software. The seepage model was applied to a 38 ...
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Dalila Scaturro, Fabio Vitagliani, Vito Emanuele Di Bella, Vincenzo Falco, Sofia Tomasello, Lorenza Lauricella and Giulia Letizia Mauro
Post-COVID syndrome is characterized by the persistence of nonspecific disabling symptoms, even several months after the resolution of the infection, with clinical characteristics similar to fibromyalgia (FM) and a prevalence of 31%. We evaluated the eff...
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