keyword
MENU ▼
Read by QxMD icon Read
search

human machine interaction

keyword
https://www.readbyqxmd.com/read/29140779/experiencing-the-sights-smells-sounds-and-climate-of-southern-italy-in-vr
#1
Vito M Manghisi, Michele Fiorentino, Michele Gattullo, Antonio Boccaccio, Vitoantonio Bevilacqua, Giuseppe L Cascella, Michele Dassisti, Antonio E Uva
This article explores what it takes to make interactive computer graphics and VR attractive as a promotional vehicle, from the points of view of tourism agencies and the tourists themselves. The authors exploited current VR and human-machine interface (HMI) technologies to develop an interactive, innovative, and attractive user experience called the Multisensory Apulia Touristic Experience (MATE). The MATE system implements a natural gesture-based interface and multisensory stimuli, including visuals, audio, smells, and climate effects...
November 2017: IEEE Computer Graphics and Applications
https://www.readbyqxmd.com/read/29140605/highly-transparent-and-integrable-surface-texture-change-device-for-localized-tactile-feedback
#2
Ankit, Naveen Tiwari, Mayank Rajput, Nguyen Anh Chien, Nripan Mathews
Human-machine haptic interaction is typically detected by variations in friction, roughness, hardness, and temperature, which combines to create sensation of surface texture change. Most of the current technologies work to simulate changes in tactile perception (via electrostatic, lateral force fields, vibration motors, etc.) without creating actual topographical transformations. This makes it challenging to provide localized feedback. Here, a new concept for on-demand surface texture augmentation that is capable of physically forming local topographic features in any predesigned pattern is demonstrated...
November 15, 2017: Small
https://www.readbyqxmd.com/read/29138087/beyond-modularity-fine-scale-mechanisms-and-rules-for-brain-network-reconfiguration
#3
Ankit N Khambhati, Marcelo G Mattar, Nicholas F Wymbs, Scott T Grafton, Danielle S Bassett
The human brain is in constant flux, as distinct areas engage in transient communication to support basic behaviors as well as complex cognition. The collection of interactions between cortical and subcortical areas forms a functional brain network whose topology evolves with time. Despite the nontrivial dynamics that are germane to this networked system, experimental evidence demonstrates that functional interactions organize into putative brain systems that facilitate different facets of cognitive computation...
November 11, 2017: NeuroImage
https://www.readbyqxmd.com/read/29137180/metabolomic-modularity-analysis-mma-to-quantify-human-liver-perfusion-dynamics
#4
Gautham Vivek Sridharan, Bote Bruinsma, Shyam Sundhar Bale, Anandh Swaminathan, Nima Saeidi, Martin L Yarmush, Korkut Uygun
Large-scale -omics data are now ubiquitously utilized to capture and interpret global responses to perturbations in biological systems, such as the impact of disease states on cells, tissues, and whole organs. Metabolomics data, in particular, are difficult to interpret for providing physiological insight because predefined biochemical pathways used for analysis are inherently biased and fail to capture more complex network interactions that span multiple canonical pathways. In this study, we introduce a nov-el approach coined Metabolomic Modularity Analysis (MMA) as a graph-based algorithm to systematically identify metabolic modules of reactions enriched with metabolites flagged to be statistically significant...
November 13, 2017: Metabolites
https://www.readbyqxmd.com/read/29106616/modomics-a-database-of-rna-modification-pathways-2017-update
#5
Pietro Boccaletto, Magdalena A Machnicka, Elzbieta Purta, Pawel Piatkowski, Blazej Baginski, Tomasz K Wirecki, Valérie de Crécy-Lagard, Robert Ross, Patrick A Limbach, Annika Kotter, Mark Helm, Janusz M Bujnicki
MODOMICS is a database of RNA modifications that provides comprehensive information concerning the chemical structures of modified ribonucleosides, their biosynthetic pathways, the location of modified residues in RNA sequences, and RNA-modifying enzymes. In the current database version, we included the following new features and data: extended mass spectrometry and liquid chromatography data for modified nucleosides; links between human tRNA sequences and MINTbase - a framework for the interactive exploration of mitochondrial and nuclear tRNA fragments; new, machine-friendly system of unified abbreviations for modified nucleoside names; sets of modified tRNA sequences for two bacterial species, updated collection of mammalian tRNA modifications, 19 newly identified modified ribonucleosides and 66 functionally characterized proteins involved in RNA modification...
November 2, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/29101394/interactions-between-transfemoral-amputees-and-a-powered-knee-prosthesis-during-load-carriage
#6
Andrea Brandt, Yue Wen, Ming Liu, Jonathan Stallings, He Helen Huang
Machines and humans become mechanically coupled when lower limb amputees walk with powered prostheses, but these two control systems differ in adaptability. We know little about how they interact when faced with real-world physical demands (e.g. carrying loads). Here, we investigated how each system (i.e. amputee and powered prosthesis) responds to changes in the prosthesis mechanics and gravitational load. Five transfemoral amputees walked with and without load (i.e. weighted backpack) and a powered knee prosthesis with two pre-programmed controller settings (i...
November 3, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29100597/determinants-of-gait-stability-while-walking-on-a-treadmill-a-machine-learning-approach
#7
Fabienne Reynard, Philippe Terrier
Dynamic balance in human locomotion can be assessed through the local dynamic stability (LDS) method. Whereas gait LDS has been used successfully in many settings and applications, little is known about its sensitivity to individual characteristics of healthy adults. Therefore, we reanalyzed a large dataset of accelerometric data measured for 100 healthy adults from 20 to 70 years of age performing 10 min treadmill walking. We sought to assess the extent to which the variations of age, body mass and height, sex, and preferred walking speed (PWS) could influence gait LDS...
October 25, 2017: Journal of Biomechanics
https://www.readbyqxmd.com/read/29099579/flexible-organic-tribotronic-transistor-for-pressure-and-magnetic-sensing
#8
Junqing Zhao, Hang Guo, Yao Kun Pang, Fengben Xi, Zhi Wei Yang, Guoxu Liu, Tong Guo, Guifang Dong, Chi Zhang, Zhong Lin Wang
Flexible electronics has attracted enormous interest in wearable electronics and human-machine interfacing. Here, a flexible organic tribotronic transistor (FOTT) without a top gate electrode has been demonstrated. The FOTT is fabricated on a flexible polyethylene terephthalate film using the p-type pentacene and poly(methyl methacrylate)/Cytop composites as the conductive channel and dielectric layer, respectively. The charge carriers can be modulated by the contact electrification between the dielectric layer and a mobile triboelectric layer...
November 8, 2017: ACS Nano
https://www.readbyqxmd.com/read/29099388/a-review-of-rapid-serial-visual-presentation-based-brain-computer-interfaces
#9
Stephanie Lees, Natalie Dayan, Hubert Cecotti, Paul McCullagh, Liam Maguire, Fabien Lotte, Damien H Coyle
Rapid serial visual presentation (RSVP) combined with the detection of event related brain responses facilitates the selection of relevant information contained in a stream of images presented rapidly to a human. Event related potentials (ERPs), measured non-invasively with electroencephalography (EEG), can be associated with infrequent target stimuli(images) in groups of images, potentially providing an interface for human-machine symbiosis, where humans can interact and interface with a computer without moving and which may offer faster image sorting than scenarios where humans are expected to physically react when a target image is detected...
November 3, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29083934/a-contact-model-to-simulate-human-artifact-interaction-based-on-force-optimization-implementation-and-application-to-the-analysis-of-a-training-machine
#10
Daniel Krüger, Sandro Wartzack
Musculoskeletal multibody models are increasingly used to analyze and optimize physical interactions between humans and technical artifacts. Since interaction is conveyed by contact between the human body and the artifact, a computationally robust modeling approach for frictional contact forces is a crucial aspect. In this contribution, we propose a parametric contact model and formulate an associated force optimization problem to simultaneously estimate unknown muscle and contact forces in an inverse dynamic manner from a prescribed motion trajectory...
October 30, 2017: Computer Methods in Biomechanics and Biomedical Engineering
https://www.readbyqxmd.com/read/29083539/structural-characterization-of-flge2-protein-from-helicobacter-pylori-hook
#11
Valentina Loconte, Ivana Kekez, Dubravka Matković-Čalogović, Giuseppe Zanotti
Helicobacter pylori flagellum is a complex rotatory nano-machine fundamental for bacterium survival in the human stomach. Protein FlgE is a component of the hook, a flexible junction exposed on the cell surface. In H. pylori genome two different genes are present in different positions coding for hypothetical FlgE. The first protein, FlgE1, is the actual component of the flagellum hook, whilst the second, FlgE2, shares only 26% of sequence identity with the other and its physiological function is still undefined...
October 30, 2017: FEBS Journal
https://www.readbyqxmd.com/read/29081744/predictive-mechanisms-are-not-involved-the-same-way-during-human-human-vs-human-machine-interactions-a-review
#12
REVIEW
Aïsha Sahaï, Elisabeth Pacherie, Ouriel Grynszpan, Bruno Berberian
Nowadays, interactions with others do not only involve human peers but also automated systems. Many studies suggest that the motor predictive systems that are engaged during action execution are also involved during joint actions with peers and during other human generated action observation. Indeed, the comparator model hypothesis suggests that the comparison between a predicted state and an estimated real state enables motor control, and by a similar functioning, understanding and anticipating observed actions...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/29069151/dentin-pretreatment-and-adhesive-temperature-as-affecting-factors-on-bond-strength-of-a-universal-adhesive-system
#13
Bruna Gabrielle da Silva Sutil, Alexandre Henrique Susin
OBJECTIVES: To evaluate the effects of dentin pretreatment and temperature on the bond strength of a universal adhesive system to dentin. MATERIAL AND METHODS: Ninety-six extracted non-carious human third molars were randomly divided into 12 groups (n=8) according to Scotchbond Universal Adhesive (SbU) applied in self-etch (SE) and etch-and-rinse (ER) mode, adhesive temperature (20°C or 37°C) and sodium bicarbonate or aluminum oxide air abrasion. After composite build up, bonded sticks with cross-sectional area of 1 mm2 were obtained to evaluate the microtensile bond strength (μTBS)...
September 2017: Journal of Applied Oral Science: Revista FOB
https://www.readbyqxmd.com/read/29068644/research-on-safety-and-compliance-of-a-new-lower-limb-rehabilitation-robot
#14
Yongfei Feng, Hongbo Wang, Hao Yan, Xincheng Wang, Zhennan Jin, Luige Vladareanu
The lower limb rehabilitation robot is an application of robotic technology for stroke people with lower limb disabilities. A new applicable and effective sitting/lying lower limb rehabilitation robot (LLR-Ro) is proposed, which has the mechanical limit protection, the electrical limit protection, and the software protection to prevent the patient from the secondary damage. Meanwhile, as a new type of the rehabilitation robots, its hip joint rotation ranges are different in the patient sitting training posture and lying training posture...
2017: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29065571/research-on-safety-and-compliance-of-a-new-lower-limb-rehabilitation-robot
#15
Yongfei Feng, Hongbo Wang, Hao Yan, Xincheng Wang, Zhennan Jin, Luige Vladareanu
The lower limb rehabilitation robot is an application of robotic technology for stroke people with lower limb disabilities. A new applicable and effective sitting/lying lower limb rehabilitation robot (LLR-Ro) is proposed, which has the mechanical limit protection, the electrical limit protection, and the software protection to prevent the patient from the secondary damage. Meanwhile, as a new type of the rehabilitation robots, its hip joint rotation ranges are different in the patient sitting training posture and lying training posture...
2017: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29060883/a-wearable-hand-gesture-recognition-device-based-on-acoustic-measurements-at-wrist
#16
Nabeel Siddiqui, Rosa H M Chan
This paper investigates hand gesture recognition from acoustic measurements at wrist for the development of a low-cost wearable human-computer interaction (HCI) device. A prototype with 5 microphone sensors on human wrist is benchmarked in hand gesture recognition performance by identifying 36 gestures in American Sign Language (ASL). Three subjects were recruited to perform over 20 trials for each set of hand gestures, including 26 ASL alphabets and 10 ASL numbers. Ten features were extracted from the signal recorded by each sensor...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060464/activemotif-interactive-motif-discovery-with-human-feedback
#17
Younghoon Kim, Woonghee Lee, Keonwoo Kim
Motif detection, which is to discover short patterns involved in many important biological processes, has been recently raised as an important task in bioinformatics. The traditional algorithms to find a sequence motif have been developed using machine learning only without involving the experience and domain knowledge of human experts effectively. In this paper, we propose an interactive motif discovery system by introducing a new learning algorithm, by generalizing a well-known statistical motif model, whose inference can be shepherded by human feedback...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060395/towards-understanding-addiction-factors-of-mobile-devices-an-eye-tracking-study-on-effect-of-screen-size
#18
Sunu Wibirama, Hanung A Nugroho
Mobile devices addiction has been an important research topic in cognitive science, mental health, and human-machine interaction. Previous works observed mobile device addiction by logging mobile devices activity. Although immersion has been linked as a significant predictor of video game addiction, investigation on addiction factors of mobile device with behavioral measurement has never been done before. In this research, we demonstrated the usage of eye tracking to observe effect of screen size on experience of immersion...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060353/counting-malaria-parasites-with-a-two-stage-em-based-algorithm-using-crowsourced-data
#19
Margarita Cabrera-Bean, Alba Pages-Zamora, Carles Diaz-Vilor, Maria Postigo-Camps, Daniel Cuadrado-Sanchez, Miguel Angel Luengo-Oroz
Malaria eradication of the worldwide is currently one of the main WHO's global goals. In this work, we focus on the use of human-machine interaction strategies for low-cost fast reliable malaria diagnostic based on a crowdsourced approach. The addressed technical problem consists in detecting spots in images even under very harsh conditions when positive objects are very similar to some artifacts. The clicks or tags delivered by several annotators labeling an image are modeled as a robust finite mixture, and techniques based on the Expectation-Maximization (EM) algorithm are proposed for accurately counting malaria parasites on thick blood smears obtained by microscopic Giemsa-stained techniques...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060119/the-role-of-nonlinear-coupling-in-human-horse-interaction-a-preliminary-study
#20
Antonio Lanata, Andrea Guidi, Gaetano Valenza, Paolo Baragli, Enzo Pasquale Scilingo
This study focuses on the analysis of human-horse dynamic interaction using cardiovascular information exclusively. Specifically, the Information Theoretic Learning (ITL) approach has been applied to a Human-Horse Interaction paradigm, therefore accounting for the nonlinear information of the heart-heart interplay between humans and horses. Heartbeat dynamics was gathered from humans and horses during three experimental conditions: absence of interaction, visual-olfactory interaction, and brooming. Cross Information Potential, Cross Correntropy, and Correntropy Coefficient were computed to quantitatively estimate nonlinear coupling in a group of eleven subjects and one horse...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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"