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Neural network surrogates enable robust and accessible modeling of renal epithelial transport. [PDF]
Physiol RepLayton AT.
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Memristor Synapse-A Device-Level Critical Review. [PDF]
Nanomaterials (Basel)Chandrasekaran S +2 more
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Enhanced graph attention network by integrating Long Short-Term Memory for artificial emotion representation in multi-modality datasets. [PDF]
PLoS OneDong W, Dong M, Zhao Y, Pan S.
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Advances in Physiological Computing
Human-computer Interaction Series, 2014This edited collection will provide an overview of the field of physiological computing, i.e. the use of physiological signals as input for computer control. It will cover a breadth of current research, from brain-computer interfaces to telemedicine.
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Software engineering perspectives on physiological computing [PDF]
, 2011 Physiological computing is an interesting and promising concept to widen the communication channel between the (human) users and computers, thus allowing an increase of software systems' contextual awareness and rendering software systems smarter than they are today.
Schroeder, Andreas
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Performance Comparison of Low-cost Hardware Platforms Targeting Physiological Computing Applications
Procedia Technology, 2014 Although the Arduino is currently the most popular low-cost hardware platform within the Do-it-Yourself (DiY) community, it is not designed taking into account the specific requirements of physiological computing.
André Lourenço, Ana Fred
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CHI '02 extended abstracts on Human factors in computer systems - CHI '02, 2002
Applications involving the measurement of human physiological responses to environment are becoming increasingly popular in HCI. This is due in part to the increasing availability of low-cost, high-specification sensing technologies. Areas such HCI evaluation, affective computing and biofeedback-based brain-computer interaction are all benefiting from ...
Jennifer Allanson, Gillian May Wilson
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Applications involving the measurement of human physiological responses to environment are becoming increasingly popular in HCI. This is due in part to the increasing availability of low-cost, high-specification sensing technologies. Areas such HCI evaluation, affective computing and biofeedback-based brain-computer interaction are all benefiting from ...
Jennifer Allanson, Gillian May Wilson
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A research agenda for physiological computing
Interacting with Computers, 2004Abstract Physiological computing involves the direct interfacing of human physiology and computer technology, i.e. brain–computer interaction (BCI). The goal of physiological computing is to transform bioelectrical signals from the human nervous system into real-time computer input in order to enhance and enrich the interactive experience ...
Jennifer Allanson, Stephen H. Fairclough
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Fundamentals of physiological computing
Interacting with Computers, 2009This review paper is concerned with the development of physiological computing systems that employ real-time measures of psychophysiology to communicate the psychological state of the user to an adaptive system. It is argued that physiological computing has enormous potential to innovate human-computer interaction by extending the communication ...
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