Visual Quality Analysis of Urban Park Landscapes Based on Eye Tracking: A Case Study of Nanjing Xiaohong Stone Carving Park

The landscape quality of urban parks is an important aspect of tourists'landscape experience.A full understanding of their relationship is beneficial to the park design,construction and management.In this paper,Xiaohong Stone Carving Park in Nanjing was selected as a case study.Firstly,the subjective landscape visual quality evaluation of tourists was obtained through the scenic beauty evaluation,and the objective landscape visual preference of users was obtained through eye movement experiment and analysis.Secondly,the values of various park landscape elements were measured respectively.And then the correlation between the subjective and objective evaluation and the values of park landscape elements was analyzed.The results showed that:(1)The visual preference of plant cluster landscape with beautiful shape,distinct layers and significant color contrast is high;(2)The preference for waterfront scenes with significant terrain differences,rich background vegetation levels,and clear and vivid water side reflections is high;(3)The designed artificial structures often become the focus of attention in the whole scene,which can improve the beauty of the scene;(4)The overall landscape composition is very important for the beauty of the scene.Finally,through the comprehensive analysis with the design expectation,the optimization strategy was proposed.

A strong tracking nonlinear robust filter for eye tracking

Non-intrusive methods for eye tracking are important for many applications of vision-based human computer interaction.However,due to the high nonlinearity of eye motion,how to ensure the robustness of external interference and accuracy of eye tracking pose the primary obstacle to the integration of eye movements into today＇s interfaces.In this paper,we present a strong tracking unscented Kalman filter （ST-UKF） algorithm,aiming to overcome the difficulty in nonlinear eye tracking.In the proposed ST-UKF,the Suboptimal fading factor of strong tracking filtering is introduced to improve robustness and accuracy of eye tracking.Compared with the related Kalman filter for eye tracking,the proposed ST-UKF has potential advantages in robustness and tracking accuracy.The last experimental results show the validity of our method for eye tracking under realistic conditions.

A new real-time eye tracking based on nonlinear unscented Kalman filter for monitoring driver fatigue

A new scheme for driver fatigue detection is presented, which is based on the nonlinear unscented Kalman filter and eye tracking. Assuming a probability distribution than to approximate an arbitrary nonlinear function or transformation, eye nonlinear tracking can be achieved using an unscented transformation (UT), which adopts a set of deterministic sigma points to match the posterior probability density function of the eye movement. Driver fatigue can be detected using the percentage of eye closure (PERCLOS) framework in a realistic driving condition after the eye nonlinear tracking. This system was tested adequately in realistic driving environments with subjects of different genders, with/without glasses, in day/night driving, being commercial/noncommercial drivers, in continuous driving time, and under different road conditions. The last experimental results show that the proposed method not only improves the robustness for nonlinear eye tracking, but also can provide more accurate estimation than the traditional Kalman filter.

Implementation System of Human Eye Tracking Algorithm Based on FPGA

With the high-speed development of transportation industry,highway traffic safety has become a considerable problem.Meanwhile,with the development of embedded system and hardware chip,in recent years,human eye detection eye tracking and positioning technology have been more and more widely used in man-machine interaction,security access control and visual detection.In this paper,the high parallelism of FPGA was utilized to realize an elliptical approximate real-time human eye tracking system,which was achieved by the series register structure and random sample consensus(RANSAC),thus improving the speed of image processing without using external memory.Because eye images acquired by the camera often generate a lot of noises due to uneven light and dark background,the preprocessing technologies such as color conversion,image filtering,histogram modification and image sharpening were adopted.In terms of feature extraction of images,the eye tracking algorithm in this paper adopted seven-section rectangular eye tracking characteristic method,which increased a section between the mouth and the nose on the basis of the traditional six-section method,so its recognition accuracy is much higher.It is convenient for the realization of hardware parallel system in FPGA.Finally,aiming at the accuracy and real-time performance of the design system,a more comprehensive simulation test was carried out.The human eye tracking system was verified on DE2-115 multimedia development platform,and the performance of VGA(resolution:640×480)images of 8-bit grayscale was tested.The results showed that the detection speed of this system was about 47 frames per second under the condition that the detection rate of human face(front face,no inclination)was 93%,which reached the real-time detection level.Additionally,the accuracy of eye tracking based on FPGA system was more than 95%,and it has achieved ideal results in real-time performance and robustness.

Sampling strong tracking nonlinear unscented Kalman filter and its application in eye tracking

The unscented Kalman filter is a developed well-known method for nonlinear motion estimation and tracking. However, the standard unscented Kalman filter has the inherent drawbacks, such as numerical instability and much more time spent on calculation in practical applications. In this paper, we present a novel sampling strong tracking nonlinear unscented Kalman filter, aiming to overcome the difficulty in nonlinear eye tracking. In the above proposed filter, the simplified unscented transform sampling strategy with n＋ 2 sigma points leads to the computational efficiency, and suboptimal fading factor of strong tracking filtering is introduced to improve robustness and accuracy of eye tracking. Compared with the related unscented Kalman filter for eye tracking, the proposed filter has potential advantages in robustness, convergence speed, and tracking accuracy. The final experimental results show the validity of our method for eye tracking under realistic conditions.

Eye-Tracking Based Autism Spectrum Disorder Diagnosis Using Chaotic Butterfly Optimization with Deep Learning Model

Autism spectrum disorder(ASD)can be defined as a neurodevelopmental condition or illness that can disturb kids who have heterogeneous characteristics,like changes in behavior,social disabilities,and difficulty communicating with others.Eye tracking(ET)has become a useful method to detect ASD.One vital aspect of moral erudition is the aptitude to have common visual attention.The eye-tracking approach offers valuable data regarding the visual behavior of children for accurate and early detection.Eye-tracking data can offer insightful information about the behavior and thought processes of people with ASD,but it is important to be aware of its limitations and to combine it with other types of data and assessment techniques to increase the precision of ASD detection.It operates by scanning the paths of eyes for extracting a series of eye projection points on images for examining the behavior of children with autism.The purpose of this research is to use deep learning to identify autistic disorders based on eye tracking.The Chaotic Butterfly Optimization technique is used to identify this specific disturbance.Therefore,this study develops an ET-based Autism Spectrum Disorder Diagnosis using Chaotic Butterfly Optimization with Deep Learning(ETASD-CBODL)technique.The presented ETASDCBODL technique mainly focuses on the recognition of ASD via the ET and DL models.To accomplish this,the ETASD-CBODL technique exploits the U-Net segmentation technique to recognize interested AREASS.In addition,the ETASD-CBODL technique employs Inception v3 feature extraction with CBO algorithm-based hyperparameter optimization.Finally,the long-shorttermmemory(LSTM)model is exploited for the recognition and classification of ASD.To assess the performance of the ETASD-CBODL technique,a series of simulations were performed on datasets from the figure-shared data repository.The experimental values of accuracy(99.29%),precision(98.78%),sensitivity(99.29%)and specificity(99.29%)showed a better performance in the ETASD-CBODL technique over recent approaches.

EasyGaze:Hybrid eye tracking approach for handheld mobile devices

Background Eye-tracking technology for mobile devices has made significant progress.However,owing to limited computing capacity and the complexity of context,the conventional image feature-based technology cannot extract features accurately,thus affecting the performance.Methods This study proposes a novel approach by combining appearance-and feature-based eye-tracking methods.Face and eye region detections were conducted to obtain features that were used as inputs to the appearance model to detect the feature points.The feature points were used to generate feature vectors,such as corner center-pupil center,by which the gaze fixation coordinates were calculated.Results To obtain feature vectors with the best performance,we compared different vectors under different image resolution and illumination conditions,and the results indicated that the average gaze fixation accuracy was achieved at a visual angle of 1.93°when the image resolution was 96×48 pixels,with light sources illuminating from the front of the eye.Conclusions Compared with the current methods,our method improved the accuracy of gaze fixation and it was more usable.

Navigation technology/eye-tracking in ophthalmology:principles,applications and benefits-a narrative review

Navigation technology in ophthalmology,colloquially called“eye-tracking”,has been applied to various areas of eye care.This approach encompasses motion-based navigation technology in both ophthalmic imaging and treatment.For instance,modern imaging instruments use a real-time eye-tracking system,which helps to reduce motion artefacts and increase signal-to-noise ratio in imaging acquisition such as optical coherence tomography(OCT),microperimetry,and fluorescence and color imaging.Navigation in ophthalmic surgery has been firstly applied in laser vision corrective surgery and spread to involve navigated retinal photocoagulation,and positioning guidance of intraocular lenses(IOL)during cataract surgery.It has emerged as one of the most reliable representatives of technology as it continues to transform surgical interventions into safer,more standardized,and more predictable procedures with better outcomes.Eye-tracking is essential in refractive surgery with excimer laser ablation.Using this technology for cataract surgery in patients with high preoperative astigmatism has produced better therapeutic outcomes.Navigated retinal laser has proven to be safer and more accurate compared to the use of conventional slit lamp lasers.Eye-tracking has also been used in imaging diagnostics,where it is essential for proper alignment of captured zones of interest and accurate follow-up imaging.This technology is not routinely discussed in the ophthalmic literature even though it has been truly impactful in our clinical practice and represents a small revolution in ophthalmology.

Pupil center detection with a single webcam for gaze tracking

This paper presents a user friendly approach to localize the pupil center with a single web camera.Several methods have been proposed to determine the coordinates of the pupil center in an image,but with practical limitations.The proposed method can track the user’s eye movements in real time under normal image resolution and lighting conditions using a regular webcam,without special equipment such as infrared illuminators.After the pre-processing steps used to deal with illumination variations,the pupil center is detected using iterative thresholding by applying geometric constraints.Experimental results show that robustness and speed in determining the pupil’s location in real time for users of various ethnicities,under various lighting conditions,at different distances from the webcam and with standard resolution images.

Examining the Impact of Web Advertising on Reading： An Eye Tracking Study

This study measures visual attention to examine the impact of banner ads on reading and information processing on the Web. Using a 2 × 3 experimental design, 120 students were randomly assigned to read a series of either short or long articles on webpages presented with no banner ads, a static banner ad, or an animated banner ad. Visual attention was recorded by an eye-tracking device. Results from our study show that when there is too little information presented on a Webpage with no banner ads, the readers might become less attentive to the paper, while a long paper presented with too many visual stimuli may overload viewers＇ cognitive capacity. While these findings are generally consistent with past research that compared the impact of static ads against animated ads, the addition of a control condition and the varying of article length in our study extended previous research by revealing more complex visual processing and cognitive processes.

The Influence of the Food Images on Consumers＇ Attention by Using the Eye-Tracking Technology

This study used an eye-tracking methodology to investigate consumers＇ gazing behavior by focusing on how assessment design influences gazing behavior and decision time. Only one factor of test design was investigated and each test contained three images. Eight participants were recruited. This study answered three questions： （1） Does the color of food influence gazing behavior？ （2） Does the color of food influence decision-making？ （3） Is gazing behavior related to decision-making behavior？ The results demonstrated that gazing behavior and decision time have a positive relationship with the image selected. Future research should consider the relationships between eye movements, cognitive goals, and tasks

Comparison of Anticancer Drug Preparation Techniques between Chemotherapy Specialist Pharmacists and Non-Chemotherapy Pharmacists Using Eye-Tracking Techniques

Anticancer drug preparation by pharmacists is a critical task directly related to medical incidents. This study examined the factors influencing medical errors in chemotherapy, that is, errors by specialist pharmacists (CPh) and pharmacists in other departments (NCPh), by measuring their gaze during the preparation of anticancer drugs. The eye-tracking results showed that the gazing time of NCPh was significantly longer than that of CPh for items such as “preparation of a closed-system device” and “preparation of the syringe” and all preparation times (P < 0.05). The NCPh were not assigned to prepare drugs on a regular basis, indicating their lack of familiarity with the process. There was no significant difference in gaze ratio between CPh and NCPh. This outcome was suggested to be a result of the use of an anticancer drug preparation support system. The results for the pupil diameter variation rate showed that NCPh were significantly more mydriatic in the “mixing injections” category than CPh. However, CPh tended to be more mydriatic in the “checking” category. CPh exhibited a smooth workflow and focused on the important items to be checked. This study showed that the differences in procedure flow and concentration points may lead to errors. Furthermore, the results are of interest from the perspective of medical incident prevention. They will be useful in identifying potential human factors, such as where the pharmacist focuses their attention by measuring eye movements.

Eye Tracking during High Speed Navigation at Sea--Field Trial in Search of Navigational Gaze Behaviour

Purpose: Professional high speed sea navigational procedures are based on turn points, courses, dangers and steering cues in the environment. Since navigational aids have become less expensive and due to the fact that electronic sea charts can be integrated with both radar and transponder information, it may be assumed that traditional navigation by using paper based charts and radar will play a less significant role in the future, especially among less experienced navigators. Possible navigational differences between experienced and non-experienced boat drivers is thus of interest with regards to their use of navigational aids. It may be assumed that less experienced navigators rely too much on the information given by the electronic sea chart, despite the fact that it is based on GPS information that can be questioned, especially in littoral waters close to land. Method: This eye tracking study investigates gaze behaviour from 16 ex perienced and novice boat drivers during high speed navigation at sea. Results: The results show that the novice drivers look at objects that are close to themselves, like instrumentation, while the experienced look more at objects far away from the boat. This is in accordance with previous research on car drivers. Further, novice boat drivers used the electronic navigational aids to a larger extent than the experienced, especially during high speed conditions. The experienced drivers focused much of their attention on objects outside the boat. Conclusions: The findings verify that novice boat drivers tend to rely on electronic navigational aids. Experienced drivers presumably use the navigational aids to verify what they have observed in the surrounding environment and further use the paper based sea chart to a larger extent than the novice drivers.

Orthographic,Semantic,and Contextual Influences on Initial Processing and Learning of Novel Words During Reading:Evidence From Eye Movements

This study investigates how orthographic,semantic and contextual variables—including word length,concreteness,and contextual support—impact on the processing and learning of new words in a second language(L2)when first encountered during reading.Students learning English as a foreign language(EFL)were recruited to read sentences for comprehension,embedded with unfamiliar L2 words that occurred once.Immediately after this,they received a form recognition test,a meaning recall test,and a meaning recognition test.Eye-movement data showed significant effects of word length on both early and late processing of novel words,along with effects of concreteness only on late-processing eye-tracking measures.Informative contexts were read slower than neutral contexts,yet contextual support did not show any direct influence on the processing of novel words.Interestingly,initial learning of abstract words was better than concrete words in terms of form and meaning recognition.Attentional processing of novel L2 words,operationalized by total reading time,positively predicted L2 learners’recognition of new orthographic forms.Taken together,these results suggest:1)orthographic,semantic and contextual factors play distinct roles for initial processing and learning of novel words;2)online processing of novel words contributes to L2 learners’initial knowledge of unfamiliar lexical items acquired from reading.

Analysis of the interactive meaning of journalistic images of the human papillomavirus vaccine and the perceptions of female undergraduate students

Objectives:This paper focuses on the underlying mechanisms of women's perceptions of persuasive visual health information.Methods:In the image viewing process,a separation between the image producer and the image viewer occurs,and the connection between the two is fractured.This mixed method research included modal discourse analysis(coding based on visual grammar theory),an eye tracking experiment,a questionnaire survey,and in-depth semi-structured interviews.The interactive meanings of journalistic images related to the human papillomavirus(HPV)vaccine were identified through four sets of codes.In addition,the perceptions of female viewers were analyzed.Results:In the first set of stimuli,i.e.,the infographic,the female participants focused most of their attention on information about the nine-valent HPV vaccine.An analysis of the interactive meaning of two sets of journalistic pictures,i.e.,fictional pictures and nonfictional pictures,indicated that the image producers did not implement useful viewer involvement strategies to persuade viewers.Furthermore,female viewers focused their attention on the"similar other"during the viewing process,gazing at the patient the longest as the primary area of interest(AOI).Conclusions:The study indicates that the current persuasive visual information about the HPV vaccine needs further improvement due to the high demand for information about HPV from the Chinese female audience.

Robust and High Accuracy Algorithm for Detection of Pupil Images

Recently,many researchers have tried to develop a robust,fast,and accurate algorithm.This algorithm is for eye-tracking and detecting pupil position in many applications such as head-mounted eye tracking,gaze-based human-computer interaction,medical applications(such as deaf and diabetes patients),and attention analysis.Many real-world conditions challenge the eye appearance,such as illumination,reflections,and occasions.On the other hand,individual differences in eye physiology and other sources of noise,such as contact lenses or make-up.The present work introduces a robust pupil detection algorithm with and higher accuracy than the previous attempts for real-time analytics applications.The proposed circular hough transform with morphing canny edge detection for Pupillometery(CHMCEP)algorithm can detect even the blurred or noisy images by using different filtering methods in the pre-processing or start phase to remove the blur and noise and finally the second filtering process before the circular Hough transform for the center fitting to make sure better accuracy.The performance of the proposed CHMCEP algorithm was tested against recent pupil detection methods.Simulations and results show that the proposed CHMCEP algorithm achieved detection rates of 87.11,78.54,58,and 78 according to´Swirski,ExCuSe,Else,and labeled pupils in the wild(LPW)data sets,respectively.These results show that the proposed approach performs better than the other pupil detection methods by a large margin by providing exact and robust pupil positions on challenging ordinary eye pictures.

Adaptive navigation assistance based on eye movement features in virtual reality

Background Navigation assistance is essential for users when roaming virtual reality scenes;however,the traditional navigation method requires users to manually request a map for viewing,which leads to low immersion and poor user experience.Methods To address this issue,we first collected data on who required navigation assistance in a virtual reality environment,including various eye movement features,such as gaze fixation,pupil size,and gaze angle.Subsequently,we used the boosting-based XGBoost algorithm to train a prediction model and finally used it to predict whether users require navigation assistance in a roaming task.Results After evaluating the performance of the model,the accuracy,precision,recall,and F1-score of our model reached approximately 95%.In addition,by applying the model to a virtual reality scene,an adaptive navigation assistance system based on the real-time eye movement data of the user was implemented.Conclusions Compared with traditional navigation assistance methods,our new adaptive navigation assistance method could enable the user to be more immersive and effective while roaming in a virtual reality(VR)environment.

Deficit of pursuit ocular movements in early Alzheimer's disease

Previous studies have demonstrated that advanced Alzheimer＇s disease（AD）patients have deficiency of eye movements.However,there have been no reports on eye movement in the early stages of AD.The aim of this study was to evaluate pursuit ocular movements（POM）provided by a vision-based non-intrusive eye tracker in patients with early AD.POM values were significantly lower in AD patients than in normal controls（P 〈 0.01）.In AD patients,POM values were not closely correlated with the Mini-Mental State Examination scores（P = 0.3）.There was no significant difference in POM values among patients treated with or without anticholinesterase therapy.We used a vision-based method,for non-intrusive eye tracking,which can be proposed as a possible tool for supporting the diagnosis of early AD.

Using eye movements in the dot-probe paradigm to investigate attention bias in illness anxiety disorder

BACKGROUND Illness anxiety disorder(IAD)is a common,distressing,and debilitating condition with the key feature being a persistent conviction of the possibility of having one or more serious or progressive physical disorders.Because eye movements are guided by visual-spatial attention,eye-tracking technology is a comparatively direct,continuous measure of attention direction and speed when stimuli are oriented.Researchers have tried to identify selective visual attention biases by tracking eye movements within dot-probe paradigms because dot-probe paradigm can distinguish these attentional biases more clearly.AIM To examine the association between IAD and biased processing of illness-related information.METHODS A case-control study design was used to record eye movements of individuals with IAD and healthy controls while participants viewed a set of pictures from four categories(illness-related,socially threatening,positive,and neutral images).Biases in initial orienting were assessed from the location of the initial shift in gaze,and biases in the maintenance of attention were assessed from the duration of gaze that was initially fixated on the picture per image category.RESULTS The eye movement of the participants in the IAD group was characterized by an avoidance bias in initial orienting to illness-related pictures.There was no evidence of individuals with IAD spending significantly more time viewing illness-related images compared with other images.Patients with IAD had an attention bias at the early stage and overall attentional avoidance.In addition,this study found that patients with significant anxiety symptoms showed attention bias in the late stages of attention processing.CONCLUSION Illness-related information processing biases appear to be a robust feature of IAD and may have an important role in explaining the etiology and maintenance of the disorder.

Fashion and Brand Awareness: An Evidence-Based Approach to the Analysis of Distinctive Elements in Communication

Brand identity is a key topic in fashion design and communication. It relies on several tangible and intangible elements, such as recognisability of trademarks and styles, of materials and processing details, on storytelling, values, testimonials, company history and so on. The evolution of communication strategies in the digital era, and of globalised markets, demands rational, evidence-based management of the public image of brands. This article offers a theoretical discussion of the structural elements which play a part in establishing the public identity of fashion brands in the era of digital communication, and an innovative approach to the evidence-based investigation of the identity of a number of fashion brands as perceived by customers. The approach proposed here is based on a mix of interviews exploring subjective brand awareness, and objective monitoring of visual attention through eye-tracking. The article also summarises findings obtained by applying this approach to several subjects exposed to communication artefacts produced by fashion brands in order to obtain some information of general interest regarding the factors that influence customers’ mental models.