Wearable computing with computer input just by sight for health care

Author(s):  
Kohei Arai
Author(s):  
Witold Kinsner

Numerous attempts are being made to develop machines that could act not only autonomously, but also in an increasingly intelligent and cognitive manner. Such cognitive machines ought to be aware of their environments which include not only other machines, but also human beings. Such machines ought to understand the meaning of information in more human-like ways by grounding knowledge in the physical world and in the machines’ own goals. The motivation for developing such machines ranges from self-evidenced practical reasons, such as the expense of computer maintenance, to wearable computing in health care, and gaining a better understanding of the cognitive capabilities of the human brain. To achieve such an ambitious goal requires solutions to many problems, ranging from human perception, attention, concept creation, cognition, consciousness, executive processes guided by emotions and value, and symbiotic conversational human-machine interactions. An important component of this cognitive machine research includes multiscale measures and analysis. This chapter presents definitions of cognitive machines, representations of processes, as well as their measurements, measures and analysis. It provides examples from current research, including cognitive radio, cognitive radar, and cognitive monitors.


2016 ◽  
Vol 40 (4) ◽  
Author(s):  
Han-Chieh Chao ◽  
Sherali Zeadally ◽  
Bin Hu

2011 ◽  
pp. 2465-2476
Author(s):  
Witold Kinsner

Numerous attempts are being made to develop machines that could act not only autonomously, but also in an increasingly intelligent and cognitive manner. Such cognitive machines ought to be aware of their environments, which include not only other machines, but also human beings. Such machines ought to understand the meaning of information in more human-like ways by grounding knowledge in the physical world and in the machines’ own goals. The motivation for developing such machines range from self-evidenced practical reasons such as the expense of computer maintenance, to wearable computing in health care, and gaining a better understanding of the cognitive capabilities of the human brain. To achieve such an ambitious goal requires solutions to many problems, ranging from human perception, attention, concept creation, cognition, consciousness, executive processes guided by emotions and value, and symbiotic conversational human-machine interactions. An important component of this cognitive machine research includes multiscale measures and analysis. This article presents definitions of cognitive machines, representations of processes, as well as their measurements, measures, and analysis. It provides examples from current research, including cognitive radio, cognitive radar, and cognitive monitors.


2021 ◽  
Vol 3 (3) ◽  
pp. 263-275
Author(s):  
Joy Iong-Zong Chen

Wearable computing have variety of applications in healthcare ranging from muscle disorders to neurocognitive disorders, Alzheimer’s disease, Parkinson’s disease, and psychological diseases, such as cardiovascular diseases, hypertension and so on. Different types of wearable computing devices are used, for example, bio fluidic-place on wearables, textile-place on wearables, and skin-place on wearables including tattoo place on wearables. In drug delivery systems, the wearable computing systems have shown promising developments, increasing its use in personalized healthcare. Wearable contain experiments, which need to be addressed before their consumerist as a fully customized healthcare system. Distinct types of wearable computing devices currently used in healthcare field are reviewed in this paper. Based on various factors, the paper provides an extensive classification of wearable computing devices. Additionally, limitations, current challenges and future perspective in health care is reviewed.


Author(s):  
Witold Kinsner

Numerous attempts are being made to develop machines that could act not only autonomously, but also in an increasingly intelligent and cognitive manner. Such cognitive machines ought to be aware of their environments, which include not only other machines, but also human beings. Such machines ought to understand the meaning of information in more human-like ways by grounding knowledge in the physical world and in the machines’ own goals. The motivation for developing such machines range from self-evidenced practical reasons such as the expense of computer maintenance, to wearable computing in health care, and gaining a better understanding of the cognitive capabilities of the human brain. To achieve such an ambitious goal requires solutions to many problems, ranging from human perception, attention, concept creation, cognition, consciousness, executive processes guided by emotions and value, and symbiotic conversational human-machine interactions. An important component of this cognitive machine research includes multiscale measures and analysis. This article presents definitions of cognitive machines, representations of processes, as well as their measurements, measures, and analysis. It provides examples from current research, including cognitive radio, cognitive radar, and cognitive monitors.


Author(s):  
R.A. Ploc ◽  
G.H. Keech

An unambiguous analysis of transmission electron diffraction effects requires two samplings of the reciprocal lattice (RL). However, extracting definitive information from the patterns is difficult even for a general orthorhombic case. The usual procedure has been to deduce the approximate variables controlling the formation of the patterns from qualitative observations. Our present purpose is to illustrate two applications of a computer programme written for the analysis of transmission, selected area diffraction (SAD) patterns; the studies of RL spot shapes and epitaxy.When a specimen contains fine structure the RL spots become complex shapes with extensions in one or more directions. If the number and directions of these extensions can be estimated from an SAD pattern the exact spot shape can be determined by a series of refinements of the computer input data.


Author(s):  
P. Hagemann

The use of computers in the analytical electron microscopy today shows three different trends (1) automated image analysis with dedicated computer systems, (2) instrument control by microprocessors and (3) data acquisition and processing e.g. X-ray or EEL Spectroscopy.While image analysis in the T.E.M. usually needs a television chain to get a sequential transmission suitable as computer input, the STEM system already has this necessary facility. For the EM400T-STEM system therefore an interface was developed, that allows external control of the beam deflection in TEM as well as the control of the STEM probe and video signal/beam brightness on the STEM screen.The interface sends and receives analogue signals so that the transmission rate is determined by the convertors in the actual computer periphery.


1999 ◽  
Vol 27 (2) ◽  
pp. 203-203
Author(s):  
Kendra Carlson

The Supreme Court of California held, in Delaney v. Baker, 82 Cal. Rptr. 2d 610 (1999), that the heightened remedies available under the Elder Abuse Act (Act), Cal. Welf. & Inst. Code, §§ 15657,15657.2 (West 1998), apply to health care providers who engage in reckless neglect of an elder adult. The court interpreted two sections of the Act: (1) section 15657, which provides for enhanced remedies for reckless neglect; and (2) section 15657.2, which limits recovery for actions based on “professional negligence.” The court held that reckless neglect is distinct from professional negligence and therefore the restrictions on remedies against health care providers for professional negligence are inapplicable.Kay Delaney sued Meadowood, a skilled nursing facility (SNF), after a resident, her mother, died. Evidence at trial indicated that Rose Wallien, the decedent, was left lying in her own urine and feces for extended periods of time and had stage I11 and IV pressure sores on her ankles, feet, and buttocks at the time of her death.


1996 ◽  
Vol 24 (3) ◽  
pp. 274-275
Author(s):  
O. Lawrence ◽  
J.D. Gostin

In the summer of 1979, a group of experts on law, medicine, and ethics assembled in Siracusa, Sicily, under the auspices of the International Commission of Jurists and the International Institute of Higher Studies in Criminal Science, to draft guidelines on the rights of persons with mental illness. Sitting across the table from me was a quiet, proud man of distinctive intelligence, William J. Curran, Frances Glessner Lee Professor of Legal Medicine at Harvard University. Professor Curran was one of the principal drafters of those guidelines. Many years later in 1991, after several subsequent re-drafts by United Nations (U.N.) Rapporteur Erica-Irene Daes, the text was adopted by the U.N. General Assembly as the Principles for the Protection of Persons with Mental Illness and for the Improvement of Mental Health Care. This was the kind of remarkable achievement in the field of law and medicine that Professor Curran repeated throughout his distinguished career.


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