scholarly journals Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 26
Author(s):  
David González-Ortega ◽  
Francisco Javier Díaz-Pernas ◽  
Mario Martínez-Zarzuela ◽  
Míriam Antón-Rodríguez

Driver’s gaze information can be crucial in driving research because of its relation to driver attention. Particularly, the inclusion of gaze data in driving simulators broadens the scope of research studies as they can relate drivers’ gaze patterns to their features and performance. In this paper, we present two gaze region estimation modules integrated in a driving simulator. One uses the 3D Kinect device and another uses the virtual reality Oculus Rift device. The modules are able to detect the region, out of seven in which the driving scene was divided, where a driver is gazing at in every route processed frame. Four methods were implemented and compared for gaze estimation, which learn the relation between gaze displacement and head movement. Two are simpler and based on points that try to capture this relation and two are based on classifiers such as MLP and SVM. Experiments were carried out with 12 users that drove on the same scenario twice, each one with a different visualization display, first with a big screen and later with Oculus Rift. On the whole, Oculus Rift outperformed Kinect as the best hardware for gaze estimation. The Oculus-based gaze region estimation method with the highest performance achieved an accuracy of 97.94%. The information provided by the Oculus Rift module enriches the driving simulator data and makes it possible a multimodal driving performance analysis apart from the immersion and realism obtained with the virtual reality experience provided by Oculus.

Irriga ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Roberta Daniela Silva Santos ◽  
Marcello Henryque Costa de Souza ◽  
Regiane De Carvalho Bispo ◽  
Kevim Muniz Ventura ◽  
Luis Henrique Bassoi

COMPARAÇÃO ENTRE MÉTODOS DE ESTIMATIVA DA EVAPOTRANSPIRAÇÃO DE REFERÊNCIA PARA O MUNICÍPIO DE PETROLINA, PE  ROBERTA DANIELA DA SILVA SANTOS1; MARCELLO HENRYQUE COSTA DE SOUZA1; REGIANE DE CARVALHO BISPO1; KEVIM MUNIZ VENTURA1 E LUÍS HENRIQUE BASSOI2 1Programa de Pós-Graduação em Irrigação e Drenagem, Universidade Estadual Paulista “Júlio de Mesquita Filho”- UNESP/FCA, Rua Dr. José Barbosa de Barros, 1780, Botucatu, SP, [email protected], [email protected], [email protected], [email protected] Embrapa Instrumentação, São Carlos, SP, [email protected]  1 RESUMO O conhecimento da evapotranspiração é vital na determinação das necessidades hídricas de uma cultura. Diante disso, o objetivo deste trabalho foi comparar o desempenho de sete métodos de estimativa da evapotranspiração de referência em relação ao método de Penman-Monteith, adotado como padrão, para o município de Petrolina, PE. Foram utilizados dados climáticos diários de 2004 a 2015, para estimar da ET0, obtidos na estação meteorológica automática do Campo Experimental de Bebedouro da Embrapa Semiárido, Petrolina, PE. Os indicadores estatísticos utilizados na avaliação foram: coeficiente de determinação (r²); coeficiente de correlação (r); índice de concordância (d) e índice de desempenho (c). Os valores do r² mostraram que o método de estimativa que melhor se ajustou ao método de Penman-Monteith foi o de Ivanov (0,73); seguido pelos métodos de Jensen-Haise (0,64); Makkink e Priestley-Taylor (0,63); Villa Nova (0,62); Hargreaves e Samani (0,53) e Hamon (0,45). No entanto, com relação ao do índice “c”, Hamon foi classificado com “péssimo”; Makkink como “mau”; Hargreaves e Samani e Villa Nova como “sofrível”; Ivanov e Priestley-Taylor como “mediano”; e Jensen-Haise como “bom”. Esse último método foi considerado como o de melhor classificação de desempenho. Palavras-chave: Penman-Monteith, correlação, semiárido.  SANTOS, R. D. S.; SOUZA, M. H. C.; BISPO, R. de C.; VENTURA, K. M.; BASSOI, L. H.METHOD-COMPARISON STUDY TO ESTIMATE THE REFERENCE EVAPOTRANSPIRATION IN PETROLINA, PE  2 ABSTRACT The knowledge on evapotranspiration is vital in determining the water requirements of a crop. Therefore, this paper aims to compare the performance of seven of estimation methods for the reference evapotranspiration in relation to the Penman-Monteith method, adopted as standard, for the municipality of Petrolina, state of Pernambuco, Brazil. We used daily climatic data from 2004 to 2015 to estimate the ET0 coefficient, obtained in the automatic weather station of the Test Field in Bebedouro, Embrapa in the Semi-arid climate. The statistical indicators used in the evaluation were: coefficient of determination (r²), correlation coefficient (r), agreement index (d) and performance index (c). The r2 values showed that the estimation method that best fitted to the Penman-Monteith method was Ivanov's (0.73), followed by Jensen-Haise (0.64), Makkink and Priestley-Taylor (0.63), Villa Nova (0.62), Hargreaves and Samani (0.53) and Hamon (0.45) methods. However, in relation to the index "c", Hamon was classified as "very poor"; Makkink as "poor"; Hargreaves and Samani and Villa Nova as "tolerable"; Ivanov and Priestley-Taylor as "medium"; and Jensen-Haise as "good". The last one was considered as the best performance rating method. Keywords: Penman-Monteith, correlation, semi-arid climate.


Author(s):  
Ganesh Pai Mangalore ◽  
Yalda Ebadi ◽  
Siby Samuel ◽  
Michael A. Knodler ◽  
Donald L. Fisher

The objective of the current study is to evaluate the use of virtual reality (VR) headsets to measure driving performance. This is desirable because they are several orders of magnitude less expensive than simulators and, if validated, could greatly extend the powers of simulation. Out of several possible measures of performance that could be considered for evaluating VR headsets, the current study specifically examines drivers’ latent hazard anticipation behavior both because it has been linked to crashes and because it has been shown to be significantly poorer in young drivers compared with their experienced counterparts in traditional driving simulators and in open road studies. In a between-subject design, 48 participants were equally and randomly assigned to one of four experimental conditions—two young driver cohorts (18–21 years) and two middle-aged driver cohorts (30–55 years) navigating either a fixed-based driving simulator or a VR headset-based simulator. All participants navigated six unique scenarios while their eyes were continually tracked. The proportion of latent hazards anticipated by participants which constituted the primary dependent measure, was found to be greater for middle-aged drivers than young drivers across both platforms. The difference in the magnitude of performance between the young and middle-aged drivers was similar across the two platforms. The study provides some justification for the use of VR headsets as a way of understanding drivers’ hazard anticipation behavior.


2013 ◽  
Vol 734-737 ◽  
pp. 3042-3047
Author(s):  
Wei Xiao ◽  
Qing Qi Wei

The shipping emissions estimation method is the premise and basis of making shipping emissions inventory, assessing the impact of shipping emissions, and promoting the work of energy saving and emissions reduction in transportation industry. The article analyzed the three main kinds of current representative shipping emissions estimation methods, i.e. simplified methodology and detailed methodology for estimating air pollutant emissions from ships presented by Techne Consulting, Tier1 and Tier2 methods from IPCC, and default approach, technology specific approach and ship movement methodology proposed by EMEP. Based on a comparative analysis of the characteristics of these estimation methods and their applicability, it was shown that: (1) the three kinds of methods from Techne Consulting, IPCC and EMEP are essentially the same, that is the emission equals to the product of the level of activities and emission factors, the difference lies in the level of detail of the activities are broken down; (2) the three shipping emissions calculation methods proposed by EMEP can be considered as the comprehensive and representative method, the default approach is a top-down method, and the technology specific approach and ship movement methodology are bottom-up approaches; (3) different methods have different applicability, the default approach proposed by EMEP is recommended to estimate CO2, SO2 emissions from shipping, and the technology specific approach and ship movement methodology are suitable for estimating the emissions of the other pollutants.


2015 ◽  
Vol 1 (311) ◽  
Author(s):  
Marta Małecka

Since its inception at the end of the XX century, VaR risk measure has gained massive popularity. It is synthetic, easy in interpretation and offers comparability of risk levels reported by different institutions. However, the crucial idea of comparability of reported VaR levels stays in contradiction with the differences in estimation procedures adopted by companies. The issue of the estimation method is subject to the internal company decision and is not regulated by the international banking supervision.The paper was dedicated to comparative analysis of the prediction errors connected with competing VaR estimation methods. Four methods, among which two stationarity-based – variance-covariance and historical simulation – and two time series methods – GARCH and RiskMetricsTM – were compared through the Monte Carlo study. The analysis was conducted with respect to the method choice, series length and VaR tolerance level.The study outcomes showed the superiority of the sigma-based method of variance-covariance over the quantile-based historical simulation. Furthermore the comparison of the stationarity-based estimates to the time series results showed that allowing for time-varying parameters in the estimation technique significantly reduces the estimator bias and variance.


2021 ◽  
Vol 18 ◽  
pp. 1-6
Author(s):  
Dawid Majdanik ◽  
Adrian Madoń ◽  
Tomasz Szymczyk

The article presents the results of a comparative analysis of contemporary virtual reality devices. The analysis focuses on both the analysis of technical parameters of the goggles as well as comparison of natural interfaces. The following devices were tested: HTC Vive, Oculus Rift, PlayStation VR, Samsung Gear VR. The most ergonomic and user-friendly interface turned out to be Oculus Rift, while goggles Samsung Gear VR were the worst from tested devices.


Author(s):  
Fiona Carroll

This chapter investigates the potential of aesthetics in the design of Human-Computer Interaction (HCI). In particular, it aims to provide a means by which aesthetics can be applied in photorealistic Virtual Reality (VR) to create engaging experiences. Indeed, this chapter suggests that much can be gained from looking at the aesthetics of photorealistic VR content as opposed to solely looking at the more traditional HCI approaches that have mainly concentrated on the performance and efficiency issues of the technology. The chapter is motivated by the very notion that the aesthetic potential of photorealistic VR content is, and continues to be, underestimated whilst the emphasis on the development of newer and more efficient technologies to create engaging VR experiences increases. Challenging this, the author reports on the results of a comparative analysis performed on two photorealistic virtual environments. These results highlight how both aesthetic form and functionality – efficiency and performance issues – need to be considered in tandem in order to create engaging VR experiences. In demonstrating this, the chapter aims to not only successfully emphasize the experiential side of photorealistic VR, but also to advance the idea of the engaged interaction and in doing so, a new design drive for HCI.


2020 ◽  
pp. 112067212097604
Author(s):  
Ignacio Martínez-Almeida Nistal ◽  
Paula Lampreave Acebes ◽  
José María Martínez-de-la-Casa ◽  
Patricia Sánchez-González

Aim: The aim was to develop and implement a virtual reality tool based on eye-tracking technologies that allow to evaluate the characteristics of the gaze patterns of glaucoma patients in order to have a better understanding of the limitations that these patients experience in their daily life. Setting: This study took place on the Ophthalmology department of Hospital Clínico San Carlos, Madrid, Spain. Methods: In total, 56 participants collaborated in the study. They were divided in two groups, a group composed of 33 glaucoma patients selected by the Ophthalmology department and a control group composed of 23 healthy individuals. Both groups completed two virtual tasks while their gaze was being monitored. The first task, defined as “static” consisted in two exercises based on the observation of images. The second task, defined as “dynamic,” consisted in a virtual driving simulator. Number of fixations, fixations duration, saccades amplitude and velocity, fixations/saccades ratio, total execution time, and other specific metrics were measured. These are the total search time for the second exercise of the first task and the number of collisions for the dynamic task. In addition, the dispersion of fixations was also discussed. Results: For the two exercises of the static task, patients exhibited significative differences in terms of number of fixations ( p = 0.012 in free observation exercise), mean saccadic velocity ( p = 0.023 and 0.017), fixations/saccades ratio ( p = 0.035 and 0.04), and also the search and total execution times of the visual search exercise ( p = 0.004 and 0.027, respectively). For the dynamic task, significative differences were found on average saccades amplitude ( p = 0.02), average saccades velocity ( p = 0.03), and the number of collisions ( p = 0.02). Conclusion: The results show that eye-tracking technologies can be used as a tool for evaluating the gaze patterns of glaucoma patients and differentiate them of healthy individuals. However, further studies with a larger cohort of participants and additional tasks are needed.


2012 ◽  
Author(s):  
R. A. Grier ◽  
H. Thiruvengada ◽  
S. R. Ellis ◽  
P. Havig ◽  
K. S. Hale ◽  
...  

2019 ◽  
Vol 16 (2) ◽  
pp. 22-31
Author(s):  
Christian Zabel ◽  
Gernot Heisenberg

Getrieben durch populäre Produkte und Anwendungen wie Oculus Rift, Pokémon Go oder der Samsung Gear stößt Virtual Reality, Augmented Reality und auch Mixed Reality auf zunehmend großes Interesse. Obwohl die zugrunde liegenden Technologien bereits seit den 1990er Jahren eingesetzt werden, ist eine breitere Adoption erst seit relativ kurzer Zeit zu beobachten. In der Folge ist ein sich schnell entwickelndes Ökosystem für VR und AR entstanden (Berg & Vance, 2017). Aus einer (medien-) politischen Perspektive interessiert dabei, welche Standortfaktoren die Ansiedlung und Agglomeration dieser Firmen begünstigen. Da die Wertschöpfungsaktivitäten sowohl hinsichtlich der Zielmärkte als auch der Leistungserstellung (z. B. starker Einsatz von IT und Hardware in der Produkterstellung) von denen klassischer Medienprodukte deutlich abweichen, kann insbesondere gefragt werden, ob die VR-, MR- und AR-Unternehmen mit Blick auf die Ansiedlungspolitik als Teil der Medienbranche aufzufassen sind und somit auf die für Medienunternehmen besonders relevanten Faktoren in ähnlichem Maße reagieren. Der vorliegende Aufsatz ist das Ergebnis eines Forschungsprojekts im Auftrag des Mediennetzwerks NRW, einer Tochterfirma der Film- und Medienstiftung NRW.


2020 ◽  
Vol 2020 (66) ◽  
pp. 101-110
Author(s):  
. Azhar Kadhim Jbarah ◽  
Prof Dr. Ahmed Shaker Mohammed

The research is concerned with estimating the effect of the cultivated area of barley crop on the production of that crop by estimating the regression model representing the relationship of these two variables. The results of the tests indicated that the time series of the response variable values is stationary and the series of values of the explanatory variable were nonstationary and that they were integrated of order one ( I(1) ), these tests also indicate that the random error terms are auto correlated and can be modeled according to the mixed autoregressive-moving average models ARMA(p,q), for these results we cannot use the classical estimation method to estimate our regression model, therefore, a fully modified M method was adopted, which is a robust estimation methods, The estimated results indicate a positive significant relation between the production of barley crop and cultivated area.


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