Titlebook: Ubiquitous Computing and Ambient Intelligence; 10th International C Carmelo R. García,Pino Caballero-Gil,Alexis Quesad Conference proceedin

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Use of Emerging 3D Printing and Modeling Technologies in the Health DomainThe most attractive feature of 3D technologies is that virtual models are easy to mold, and custom-made items can be physically produced. Health domains are areas in which 3D technologies have been applied, and several studies have been conducted assessing the usefulness of such technologies in thos

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Specifying How to Motivate People in Computer Assisted Rehabilitationhabilitation, especially related to the ageing of population, has pushed forward challenges and innovation related to the design and development of such systems. One of the aspects present in rehabilitation is motivation. Motivation is not essential in rehabilitation, but has been proven a useful fa

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Towards an Awareness Interpretation for Physical and Cognitive Rehabilitation Systems. This issue is magnified when talking about rehabilitation systems, whose users may require additional specific awareness information, due to their cognitive or physical disabilities. Moreover, because of these disabilities, this awareness may be provided by using specific feedback stimuli. This co

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Early Detection of Hypoglycemia Events Based on Biometric Sensors Prototyped on FPGAss a task that the patient needs to perform to prevent hypoglycemia episodes. Early detection of hypoglycemia is a very important element for preventing multi-organ failure. The incorporation of other biomedical parameters monitoring, combined with glucose levels can help to early detect and prevent

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Management of the Hypertension: An Architecture Based on BPM Integrationeen medical teams, clinical process and patients. The lack of patients’ empowerment and adherence to treatment makes it necessary to integrate patients, data collecting devices and the clinical process together. The use of Business Process Management (BPM) paradigm and their associated technologies

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Change Point Detection Using Multivariate Exponentially Weighted Moving Average (MEWMA) for Optimal terest due to their small sizes and reasonable computational power. For example, body worn sensors are widely used to monitor daily life activities and identify meaningful events. Hence, the capability to detect, adapt and respond to change performs a key role in various domains. A change in activit

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Improving Learning Tasks for Mentally Handicapped People Using AmI Environments Based on Cyber-Physiing tasks. The system proposed is composed of a cyber-glove, a worktable (both with RFID and NFC detection zones) and a AmI software application for modeling and workflow guidance. The authors carried out a case study where 12 mentally handicapped people and 3 trainers were involved executing workfl

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Towards Personalised Training of Machine Learning Algorithms for Food Image Classification Using a Sthm would be personalised as it would allow users to decided what food items the model will be able to classify. This novel concept introduces the idea of promoting dietary monitoring through classifying food images for food logging by personalising a machine learning algorithm. The food image class