Titlebook: Handbook of Human Computer Interaction; Jean Vanderdonckt,Philippe Palanque,Marco Winckler Living reference work 2025Latest edition Intel

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Interaction Design for Healthcare Technologies,ultiple disciplines. While some of this draws on traditional human–computer interaction (HCI) perspectives, to traverse the ‘valley of death’ between early prototypes and deployment at scale it is essential to take a broad view of HCI and Human Factors that embraces the diffusion of innovation and integration into care pathways.

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Patricia Cornelio,Chi Thanh Vi,Giada Brianza,Emanuela Maggioni,Marianna Obristof the resources on the basis of the instantaneous network parameters. In this paper, we present a comprehensive survey of the most relevant research on network resource management in software-defined networking (SDN)-enabled data centre networks. SDN-based resource management can optimize multiple

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Radu-Daniel Vatavuputational sports science, such as sports training, sports physiology, sports biomechanics, and sports medicine. Smart sensing technologies use novel sensing technologies and machine learning to measure and recognize physiological behavior, including heart rate, pulse, breath, movement, force, joint

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Sharon Oviatt data (423 496 entries) for ten years (2010–2019) (.), we investigate machine learning models for two tasks: prediction of finishing times and identification of runners risking hitting the wall. Our models improve results over the current baseline on finish time prediction and manage to correctly id

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Luigina Ciolfi,Myriam Lewkowicz,Kjeld Schmidtvention programs. The purpose of the study is to perform a criteria-based analysis of the effects of three qualitatively different NHE execution modalities on the break point angle (BPA). Twenty-two healthy individuals (26 ± 3.7 years) participated in the study, attending two familiarization and one

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