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On physiological computing with an application in interactive art
Interacting with Computers, 2004The paper presents a discussion on the logic of the necessity for investigation into the area of physiological computing and reviews empirical work by some of the authors. In particular, the paper discusses the reliability of information that can be inferred from certain biological sensor data and ways in which positive benefits can be ensured or ...
Ernest A. Edmonds +3 more
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Computer Support for Physiological Cell Modelling using an Ontology on Cell Physiology
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006The development of electrophysiological whole cell models to support the understanding of biological mechanisms is increasing rapidly. Due to the complexity of biological systems, comprehensive cell models, which are composed of many imported sub-models of functional elements, can get quite complicated as well, making computer modification difficult ...
Takao Shimayoshi +5 more
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BITalino: A Novel Hardware Framework for Physiological Computing
Proceedings of the International Conference on Physiological Computing Systems, 2014Physical computing has spun a true global revolution in the way in which the digital interfaces with the real world. From bicycle jackets with turn signal lights to twitter-controlled christmas trees, the Do-it-Yourself (DiY) hardware movement has been driving endless innovations and stimulating an age of creative engineering. This ongoing (r)evolution
Hugo Plácido da Silva +4 more
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Computational Anatomy and Computational Physiology for Medical Image Analysis
2005Medical image analysis brings about a revolution to the medicine of the 21 st century, introducing a collection of powerful new tools designed to better assist the clinical diagnosis and to model, simulate, and guide more efficiently the patient’s therapy. A new discipline has emerged in computer science, closely related to others like computer vision,
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Intelligence and Computation: A View from Physiology
2003We present in this paper an auto-adaptive neural network tree structure that is used to solve classification problems. Two main ideas are behind this neural network tree structure. The first one is that it is easier to solve simple problems than difficult ones, so we divide an initial hard classification problem into several simplerleasier ones in a ...
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Towards a Physiological Computing Infrastructure for Researching Students’ Flow in Remote Learning
Technology, Knowledge and Learning, 2021Maximilian Xiling Li +2 more
exaly