keyword
MENU ▼
Read by QxMD icon Read
search

human machine interaction

keyword
https://www.readbyqxmd.com/read/28227336/assessment-of-mental-workload-by-eeg-fnirs
#1
Haleh Aghajani, Ahmet Omurtag, Haleh Aghajani, Ahmet Omurtag, Ahmet Omurtag, Haleh Aghajani
We investigated the use of a multimodal functional neuroimaging system in quantifying mental workload of healthy human volunteers. We recorded behavioral performance measures as well as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously from subjects performing n-back tasks. The EEG and fNIRS signals were used in feature generation and classification offline using support vector machines. We examined the classification accuracy of three distinct systems: EEG based; fNIRS based; and Hybrid, which contained features from the first two systems as based on their interactions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226628/improve-the-generalization-of-emotional-classifiers-across-time-by-using-training-samples-from-different-days
#2
Shuang Liu, Jingjing Tong, Minpeng Xu, Jiajia Yang, Hongzhi Qi, Dong Ming, Shuang Liu, Jingjing Tong, Minpeng Xu, Jiajia Yang, Hongzhi Qi, Dong Ming, Shuang Liu, Minpeng Xu, Dong Ming, Hongzhi Qi, Jiajia Yang, Jingjing Tong
Electroencephalographic (EEG)-based emotion recognition has attracted increasing attention from the field of human-computer interaction (HCI). However, there are a number of challenges for machines to correctly recognize human emotional states. One problem is how to generalize the emotion model across time, since the brain may show different patterns of EEG for the same emotion experience at different time. This study investigated the feasibility of adding samples from different days to the training set to improve the generalization of the emotion classifier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28224972/a-mathematical-model-for-the-two-learners-problem
#3
Jan Mueller, Carmen Vidaurre, Martijn Schreuder, Frank Meinecke, Paul von B√ľnau, Klaus-Robert Mueller
OBJECTIVE: We present the first generic theoretical formulation of the co-adaptive learning problem and give a simple example of two interacting linear learning systems, a human and a machine. APPROACH: After the description of the training protocol of the two learning systems, we define a simple linear model where the two learning agents are coupled by a joint loss function. The simplicity of the model allows us to find learning rules for both human and machine that permit computing theoretical simulations...
February 22, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28190455/who-s-who-detecting-and-resolving-sample-anomalies-in-human-dna-sequencing-studies-with-peddy
#4
Brent S Pedersen, Aaron R Quinlan
The potential for genetic discovery in human DNA sequencing studies is greatly diminished if DNA samples from a cohort are mislabeled, swapped, or contaminated or if they include unintended individuals. Unfortunately, the potential for such errors is significant since DNA samples are often manipulated by several protocols, labs, or scientists in the process of sequencing. We have developed a software package, peddy, to identify and facilitate the remediation of such errors via interactive visualizations and reports comparing the stated sex, relatedness, and ancestry to what is inferred from the individual genotypes derived from whole-genome (WGS) or whole-exome (WES) sequencing...
January 30, 2017: American Journal of Human Genetics
https://www.readbyqxmd.com/read/28185019/biological-ageing-and-clinical-consequences-of-modern-technology
#5
Marios Kyriazis
The pace of technology is steadily increasing, and this has a widespread effect on all areas of health and society. When we interact with this technological environment we are exposed to a wide variety of new stimuli and challenges, which may modulate the stress response and thus change the way we respond and adapt. In this Opinion paper I will examine certain aspects of the human-computer interaction with regards to health and ageing. There are practical, everyday effects which also include social and cultural elements...
February 9, 2017: Biogerontology
https://www.readbyqxmd.com/read/28178889/v-elmpirnapred-identification-of-human-pirnas-by-the-voting-based-extreme-learning-machine-v-elm-with-a-new-hybrid-feature
#6
Cong Pian, Yuan-Yuan Chen, Jin Zhang, Zhi Chen, Guang-Le Zhang, Qiang Li, Tao Yang, Liang-Yun Zhang
Piwi-interacting RNAs (piRNAs) were recently discovered as endogenous small noncoding RNAs. Some recent research suggests that piRNAs may play an important role in cancer. So the precise identification of human piRNAs is a significant work. In this paper, we introduce a series of new features with 80 dimension called short sequence motifs (SSM). A hybrid feature vector with 1444 dimension can be formed by combining 1364 features of [Formula: see text]-mer strings and 80 features of SSM features. We optimize the 1444 dimension features using the feature score criterion (FSC) and list them in descending order according to the scores...
January 9, 2017: Journal of Bioinformatics and Computational Biology
https://www.readbyqxmd.com/read/28178184/a-3d-human-machine-integrated-design-and-analysis-framework-for-squat-exercises-with-a-smith-machine
#7
Haerin Lee, Moonki Jung, Ki-Kwang Lee, Sang Hun Lee
In this paper, we propose a three-dimensional design and evaluation framework and process based on a probabilistic-based motion synthesis algorithm and biomechanical analysis system for the design of the Smith machine and squat training programs. Moreover, we implemented a prototype system to validate the proposed framework. The framework consists of an integrated human-machine-environment model as well as a squat motion synthesis system and biomechanical analysis system. In the design and evaluation process, we created an integrated model in which interactions between a human body and machine or the ground are modeled as joints with constraints at contact points...
February 6, 2017: Sensors
https://www.readbyqxmd.com/read/28169307/sequestration-of-ribosome-during-protein-aggregate-formation-contribution-of-ribosomal-rna
#8
Bani K Pathak, Surojit Mondal, Senjuti Banerjee, Amar Nath Ghosh, Chandana Barat
An understanding of the mechanisms underlying protein aggregation and cytotoxicity of the protein aggregates is crucial in the prevention of several diseases in humans. Ribosome, the cellular protein synthesis machine is capable of acting as a protein folding modulator. The peptidyltransferase center residing in the domain V of large ribosomal subunit 23S rRNA is the centre for the protein folding ability of the ribosome and is also the cellular target of several antiprion compounds. Our in vitro studies unexpectedly reveal that the partial unfolding or aggregation of lysozyme under reducing conditions in presence of the ribosome can induce aggregation of ribosomal components...
February 7, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28155718/improved-protein-protein-interactions-prediction-via-weighted-sparse-representation-model-combining-continuous-wavelet-descriptor-and-pseaa-composition
#9
Yu-An Huang, Zhu-Hong You, Xing Chen, Gui-Ying Yan
BACKGROUND: Protein-protein interactions (PPIs) are essential to most biological processes. Since bioscience has entered into the era of genome and proteome, there is a growing demand for the knowledge about PPI network. High-throughput biological technologies can be used to identify new PPIs, but they are expensive, time-consuming, and tedious. Therefore, computational methods for predicting PPIs have an important role. For the past years, an increasing number of computational methods such as protein structure-based approaches have been proposed for predicting PPIs...
December 23, 2016: BMC Systems Biology
https://www.readbyqxmd.com/read/28152485/soft-conformal-bioelectronics-for-a-wireless-human-wheelchair-interface
#10
Saswat Mishra, James J S Norton, Yongkuk Lee, Dong Sup Lee, Nicolas Agee, Yanfei Chen, Youngjae Chun, Woon-Hong Yeo
There are more than 3 million people in the world whose mobility relies on wheelchairs. Recent advancement on engineering technology enables more intuitive, easy-to-use rehabilitation systems. A human-machine interface that uses non-invasive, electrophysiological signals can allow a systematic interaction between human and devices; for example, eye movement-based wheelchair control. However, the existing machine-interface platforms are obtrusive, uncomfortable, and often cause skin irritations as they require a metal electrode affixed to the skin with a gel and acrylic pad...
May 15, 2017: Biosensors & Bioelectronics
https://www.readbyqxmd.com/read/28150245/bioinformatics-analysis-of-ptm-modified-protein-interaction-networks-and-complexes
#11
Jonathan Woodsmith, Ulrich Stelzl, Arunachalam Vinayagam
Normal cellular functioning is maintained by macromolecular machines that control both core and specialized molecular tasks. These machines are in large part multi-subunit protein complexes that undergo regulation at multiple levels, from expression of requisite components to a vast array of post-translational modifications (PTMs). PTMs such as phosphorylation, ubiquitination, and acetylation currently number more than 200,000 in the human proteome and function within all molecular pathways. Here we provide a framework for systematically studying these PTMs in the context of global protein-protein interaction networks...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28150241/functional-interaction-network-construction-and-analysis-for-disease-discovery
#12
Guanming Wu, Robin Haw
Network-based approaches project seemingly unrelated genes or proteins onto a large-scale network context, therefore providing a holistic visualization and analysis platform for genomic data generated from high-throughput experiments, reducing the dimensionality of data via using network modules and increasing the statistic analysis power. Based on the Reactome database, the most popular and comprehensive open-source biological pathway knowledgebase, we have developed a highly reliable protein functional interaction network covering around 60 % of total human genes and an app called ReactomeFIViz for Cytoscape, the most popular biological network visualization and analysis platform...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28146682/intuitive-cognition-and-models-of-human-automation-interaction
#13
Robert Earl Patterson
OBJECTIVE: The aim of this study was to provide an analysis of the implications of the dominance of intuitive cognition in human reasoning and decision making for conceptualizing models and taxonomies of human-automation interaction, focusing on the Parasuraman et al. model and taxonomy. BACKGROUND: Knowledge about how humans reason and make decisions, which has been shown to be largely intuitive, has implications for the design of future human-machine systems. METHOD: One hundred twenty articles and books cited in other works as well as those obtained from an Internet search were reviewed...
February 2017: Human Factors
https://www.readbyqxmd.com/read/28146675/on-the-nature-of-vigilance
#14
Peter A Hancock
OBJECTIVE: I explore the origins, theoretical underpinnings, applications, and importance of vigilance in a world ever more dominated by semiautomated, automated, and autonomous machines. BACKGROUND: The empirical genesis of vigilance is taken as a case study in the etiology of the application of the behavioral sciences to the human culture of technology. The subsequent taxonomic ordering and theoretical clarification of its causal antecedents are set in the overall context of contemporary human-machine systems research...
February 2017: Human Factors
https://www.readbyqxmd.com/read/28146673/a-little-anthropomorphism-goes-a-long-way
#15
Ewart J de Visser, Samuel S Monfort, Kimberly Goodyear, Li Lu, Martin O'Hara, Mary R Lee, Raja Parasuraman, Frank Krueger
OBJECTIVE: We investigated the effects of exogenous oxytocin on trust, compliance, and team decision making with agents varying in anthropomorphism (computer, avatar, human) and reliability (100%, 50%). BACKGROUND: Authors of recent work have explored psychological similarities in how people trust humanlike automation compared with how they trust other humans. Exogenous administration of oxytocin, a neuropeptide associated with trust among humans, offers a unique opportunity to probe the anthropomorphism continuum of automation to infer when agents are trusted like another human or merely a machine...
February 2017: Human Factors
https://www.readbyqxmd.com/read/28137425/cognitive-evaluation-for-the-diagnosis-of-alzheimer-s-disease-based-on-turing-test-and-virtual-environments
#16
Juan Manuel Fernandez Montenegro, Vasileios Argyriou
Alzheimer's screening tests are commonly used by doctors to diagnose the patient's condition and stage as early as possible. Most of these tests are based on pen-paper interaction and do not embrace the advantages provided by new technologies. This paper proposes novel Alzheimer's screening tests based on virtual environments and game principles using new immersive technologies combined with advanced Human Computer Interaction (HCI) systems. These new tests are focused on the immersion of the patient in a virtual room, in order to mislead and deceive the patient's mind...
January 27, 2017: Physiology & Behavior
https://www.readbyqxmd.com/read/28113829/highly-efficient-framework-for-predicting-interactions-between-proteins
#17
Zhu-Hong You, MengChu Zhou, Xin Luo, Shuai Li
Protein-protein interactions (PPIs) play a central role in many biological processes. Although a large amount of human PPI data has been generated by high-throughput experimental techniques, they are very limited compared to the estimated 130,000 protein interactions in humans. Hence, automatic methods for human PPI-detection are highly desired. This work proposes a novel framework, i.e., Low-rank approximation-kernel Extreme Learning Machine (LELM), for detecting human PPI from a protein's primary sequences automatically...
March 30, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28106853/significant-change-spotting-for-periodic-human-motion-segmentation-of-cleaning-tasks-using-wearable-sensors
#18
Kai-Chun Liu, Chia-Tai Chan
The proportion of the aging population is rapidly increasing around the world, which will cause stress on society and healthcare systems. In recent years, advances in technology have created new opportunities for automatic activities of daily living (ADL) monitoring to improve the quality of life and provide adequate medical service for the elderly. Such automatic ADL monitoring requires reliable ADL information on a fine-grained level, especially for the status of interaction between body gestures and the environment in the real-world...
January 19, 2017: Sensors
https://www.readbyqxmd.com/read/28095951/simulated-microgravity-effects-on-nonsmall-cell-lung-cancer-cell-proliferation-and-migration
#19
Jae Ho Chung, Chi Bum Ahn, Kuk Hui Son, Eunjue Yi, Ho Sung Son, Han-Sung Kim, Sung Ho Lee
BACKGROUND: Despite improvements in medical technology, lung cancer metastasis remains a global health problem. The effects of microgravity on cell morphology, structure, functions, and their mechanisms have been widely studied; however, the biological effects of simulated microgravity on the interaction between cells and its eventual influence on the characteristics of cancer cells are yet to be discovered. We examined the effects of simulated microgravity on the metastatic ability of different lung cancer cells using a random positioning machine...
February 1, 2017: Aerospace Medicine and Human Performance
https://www.readbyqxmd.com/read/28092029/an-efficient-semi-supervised-learning-approach-to-predict-sh2-domain-mediated-interactions
#20
Kousik Kundu, Rolf Backofen
Src homology 2 (SH2) domain is an important subclass of modular protein domains that plays an indispensable role in several biological processes in eukaryotes. SH2 domains specifically bind to the phosphotyrosine residue of their binding peptides to facilitate various molecular functions. For determining the subtle binding specificities of SH2 domains, it is very important to understand the intriguing mechanisms by which these domains recognize their target peptides in a complex cellular environment. There are several attempts have been made to predict SH2-peptide interactions using high-throughput data...
2017: Methods in Molecular Biology
keyword
keyword
71194
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"