scholarly journals GUI design exploration software for microwave antennas

2017 ◽  
Vol 4 (4) ◽  
pp. 274-281 ◽  
Author(s):  
Bo Liu ◽  
Alexander Irvine ◽  
Mobayode O. Akinsolu ◽  
Omer Arabi ◽  
Vic Grout ◽  
...  
Keyword(s):  
Human Computer Interaction ◽  
State Of The Art ◽  
General Purpose ◽  
Simulation Software ◽  
Antenna Design ◽  
Design Exploration ◽  
Design Engineers ◽  
Exploration Tool ◽  
Optimization Efficiency ◽  
Computer Interaction

Abstract Optimizers in commercial electromagnetic (EM) simulation software packages are the main tools for performing antenna design exploration today. However, these general purpose optimizers are facing challenges in optimization efficiency, supported optimization types and usability for antenna experts without deep knowledge on optimization. Aiming to fill the gaps, a new antenna design exploration tool, called Antenna Design Explorer (ADE), is presented in this paper. The key features are: (1) State-of-the-art antenna design exploration methods are selected and embedded, addressing efficient antenna optimization (critical but unable to be solved by existing tools) and multiobjective antenna optimization (not available in most existing tools); (2) Human-computer interaction for the targeted problem is studied, addressing various usability issues for antenna design engineers, such as automatic algorithmic parameter setting and interactive stopping criteria; (3) Compatibility with existing tools is studied and ADE is able to co-work with existing EM simulators and optimizers, combining advantages. A case study verifies the advantages of ADE. Highlights A new antenna design exploration tool, called Antenna Design Explorer (ADE), is presented in this paper. State-of-the-art antenna design exploration methods are selected and embedded, addressing efficient antenna optimization (critical but difficult to be solved by existing tools) and multiobjective antenna optimization (not available in most existing tools). Human-computer interaction for the targeted problem is studied, addressing various usability issues for antenna design engineers. Compatibility with existing tools is studied and ADE is able to co-work with existing EM simulators and optimizers, combining advantages.

scholarly journals Seven lessons for interdisciplinary research on interactive digital health interventions

2018 ◽  
Vol 4 ◽  
pp. 205520761877032 ◽  
Author(s):  
Ann Blandford ◽  
Jo Gibbs ◽  
Nikki Newhouse ◽  
Olga Perski ◽  
Aneesha Singh ◽  
...  
Keyword(s):  
Human Computer Interaction ◽  
Formative Evaluation ◽  
State Of The Art ◽  
Digital Health ◽  
Health Interventions ◽  
Future Research ◽  
Project Outcomes ◽  
Disciplinary Expertise ◽  
Development Evaluation ◽  
Computer Interaction

Research and development for interactive digital health interventions requires multi-disciplinary expertise in identifying user needs, and developing and evaluating each intervention. Two of the central areas of expertise required are Health (broadly defined) and Human–Computer Interaction. Although these share some research methods and values, they traditionally have deep differences that can catch people unawares, and make interdisciplinary collaborations challenging, resulting in sub-optimal project outcomes. The most widely discussed is the contrast between formative evaluation (emphasised in Human–Computer Interaction) and summative evaluation (emphasised in Health research). However, the differences extend well beyond this, from the nature of accepted evidence to the culture of reporting. In this paper, we present and discuss seven lessons that we have learned about the contrasting cultures, values, assumptions and practices of Health and Human–Computer Interaction. The lessons are structured according to a research lifecycle, from establishing the state of the art for a given digital intervention, moving through the various (iterative) stages of development, evaluation and deployment, through to reporting research results. Although our focus is on enabling people from different disciplinary backgrounds to work together with better mutual understanding, we also highlight ways in which future research in this interdisciplinary space could be better supported.

scholarly journals Activity Recognition using STLBPs

2020 ◽  
Author(s):  
Jawad Khan
Keyword(s):  
Computer Vision ◽  
Human Computer Interaction ◽  
Activity Recognition ◽  
State Of The Art ◽  
Local Binary Patterns ◽  
Temporal Information ◽  
Violence Detection ◽  
Art Methods ◽  
Computer Vision Applications ◽  
Computer Interaction

Activity recognition is a topic undergoing massive research in the field of computer vision. Applications of activity recognition include sports summaries, human-computer interaction, violence detection, surveillance etc. In this paper, we propose the modification of the standard local binary patterns descriptor to obtain a concatenated histogram of lower dimensions. This helps to encode the spatial and temporal information of various actions happening in a frame. This method helps to overcome the dimensionality problem that occurs with LBP and the results show that the proposed method performed comparably with state of the art methods.

State of the Art of Human-Computer Interaction (HCI) Master’s Programs 2020

2021 ◽  
pp. 405-414
Author(s):  
Gabriel M. Ramirez V. ◽  
Yenny A. Méndez ◽  
Antoni Granollers ◽  
Andrés F. Millán ◽  
Claudio C. Gonzalez ◽  
...  
Keyword(s):  
Human Computer Interaction ◽  
State Of The Art ◽  
Master's Programs ◽  
Computer Interaction

scholarly journals Human-Computer Interaction: Overview on State of the Art

2008 ◽  
Vol 1 (1) ◽  
pp. 137-159 ◽  
Author(s):  
Fakhreddine Karray ◽  
Milad Alemzadeh ◽  
Jamil Abou Saleh ◽  
Mo Nours Arab
Keyword(s):  
Human Computer Interaction ◽  
State Of The Art ◽  
Computer Interaction

scholarly journals A low cost SSVEP-EEG based human-computer-interaction system for completely locked-in patients

2021 ◽  
Vol 10 (4) ◽  
pp. 2245-2253
Author(s):  
Azhar Dilshad ◽  
Vali Uddin ◽  
Muhammad Rizwan Tanweer ◽  
Tariq Javid
Keyword(s):  
Human Computer Interaction ◽  
Human Life ◽  
Low Cost ◽  
General Purpose ◽  
Control Panel ◽  
Motor Disability ◽  
Brain Signals ◽  
Conventional Manner ◽  
Application Specific ◽  
Computer Interaction

Human computer interaction (HCI) for completely locked-in patients is a very difficult task. Nowadays, information technology (IT) is becoming an essential part of human life. Patients with completely locked-in state are generally unable to facilitate themselves by these useful technological advancements. Hence, they cannot use modern IT gadgets and applications throughout the lifespan after disability. Advancements in brain computer interface (BCI) enable operating IT devices using brain signals specifically when a person is unable to interact with the devices in conventional manner due to cognitive motor disability. However, existing state-of-the-art application specific BCI devices are comparatively too expensive. This paper presents a research and development work that aims to design and develop a low-cost general purpose HCI system that can be used to operate computers and a general purpose control panel through brain signals. The system is based on steady state visual evoked potentials (SSVEP). In proposed system, these electrical signals are obtained in response of a number of different flickering lights of different frequencies through electroencephalogram (EEG) electrodes and an open source BCI hardware. Successful trails conducted on healthy participants suggest that severely paralyzed subjects can operate a computer or control panel as an alternative to conventional HCI device.

User-Centered Mobile Computing

2011 ◽  
pp. 1021-1026
Author(s):  
Dean Mohamedally ◽  
Panayiotis Zaphiris ◽  
Helen Petrie
Keyword(s):  
Wireless Communications ◽  
Literature Review ◽  
Human Computer Interaction ◽  
Mobile Computing ◽  
Case Studies ◽  
State Of The Art ◽  
Mobile Systems ◽  
Extensive Literature ◽  
User Centred Design ◽  
Computer Interaction

Mobile computing and wireless communications continue to change the way in which we perceive our lifestyles and habits. Through an extensive literature review of state-of-the-art human-computer interaction issues in mobile computing (Mobile HCI), we examine recent pertinent case studies that attempt to provide practical mobile capabilities to users. We thus contribute to the reader a primer to the philosophy of developing mobile systems for user centred design.

Realization of the Car Tire Puncture in Virtual Environment

2013 ◽  
Vol 475-476 ◽  
pp. 1433-1438
Author(s):  
Jin Fang Li ◽  
Shun Mu Fang ◽  
Han Wu He ◽  
Jun Wei Wen
Keyword(s):  
Human Computer Interaction ◽  
Real Time ◽  
Virtual Environment ◽  
Traffic Accidents ◽  
Simulation Software ◽  
Research System ◽  
Prevention Measures ◽  
Computer Interaction ◽  
Automobile Tires

Traffic accidents,which are caused by faulty tires, have caused great losses to people's life and property.At present, generally,researching prevention measures of tires puncture are through real car tires tests around domestic and international. I made a research about automobile tires puncture performance in a virtual driving environment ,to build a virtual car tires puncture research system in combination with the VC platform and EON simulation software, and used the Logitech G25 controller to manipulate virtual cars, then real-time human-computer interaction was achieved.

scholarly journals Recommender Systems: Past, Present, Future

AI Magazine ◽  
2022 ◽  
Vol 42 (3) ◽  
pp. 3-6
Author(s):  
Dietmar Jannach ◽  
Pearl Pu ◽  
Francesco Ricci ◽  
Markus Zanker
Keyword(s):  
Human Computer Interaction ◽  
Recommender Systems ◽  
Information Search ◽  
Information Filtering ◽  
General Purpose ◽  
Learning Technology ◽  
Computerized System ◽  
Interaction Problem ◽  
Selection Of ◽  
Computer Interaction

The origins of modern recommender systems date back to the early 1990s when they were mainly applied experimentally to personal email and information filtering. Today, 30 years later, personalized recommendations are ubiquitous and research in this highly successful application area of AI is flourishing more than ever. Much of the research in the last decades was fueled by advances in machine learning technology. However, building a successful recommender sys-tem requires more than a clever general-purpose algorithm. It requires an in-depth understanding of the specifics of the application environment and the expected effects of the system on its users. Ultimately, making recommendations is a human-computer interaction problem, where a computerized system supports users in information search or decision-making contexts. This special issue contains a selection of papers reflecting this multi-faceted nature of the problem and puts open research challenges in recommender systems to the fore-front. It features articles on the latest learning technology, reflects on the human-computer interaction aspects, reports on the use of recommender systems in practice, and it finally critically discusses our research methodology.

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