Sight Research Articles

Effective Assistance for Iterative Visual Search Tasks by Using Gaze-Based Visual Cognition Estimation

Effective Assistance for Iterative Visual Search Tasks by Using Gaze-Based Visual Cognition Estimation

Bionic Scotopic Adaptation Transistors for Nighttime Low Illumination Imaging.

Human vision excels in perceiving nighttime low illumination due to biological feedforward adaptation. Replicating this ability in biomimetic vision using solid-state devices has been highly sought after. However, emulating scotopic adaptation, entailing a confluence of efficient photoexcitation and dynamic carrier modulation, presents formidable challenges. Here, we demonstrate a low-power and bionic scotopic adaptation transistor by coupling a light-absorption layer and an electron-trapping layer at the bottom of the semiconducting channel, enabling simultaneous achievement of efficient generation of free photocarriers and adaptive carrier accumulation within a single device. This innovation empowers our transistor to exhibit sensitivity-potentiated characteristics after adaptation, detecting scotopic-level illumination (0.001 lx) with exceptional photosensitivity up to 103 at low voltages below 2 V. Moreover, we have successfully replicated diverse scotopic vision functions, encompassing time-dependent visual threshold enhancement, light intensity-dependent adaptation index, imaging contrast enhancement for nighttime low illumination imaging, opening an opportunity for artificial night vision.

Visual perception verbs in Old Anatolian Turkish

Abstract This study aims at describing the verbs of the visual sensory domain in Old Anatolian Turkish (oat), including basic and compound verb forms. We shall specifically focus on intra-field and trans-field meaning extensions of visual perception verbs such as baḳ-, naẓar et-, gör-, and görin-/gözük-. Our findings are based on a corpus consisting of 11 texts both in prose and poetry from the 13th to 15th centuries. There are mainly two types of verbs that conceptualise mental and emotive states through visual perception: one pertains to idiomatic expressions with göz ‘eye’, such as göz-(ün) aç- (eye-poss.acc open), göz-den düş- (eye-abl fall), and göz dut- (eye hold). The second form includes basic verbs including baḳ- (to look at), gör- (to see), naẓar et- (to look at) and gör-in-/göz-ük- (to appear). We shall show that visual perception constitutes a rich source for expressing emotive states, and the use of vision verbs for the expression of emotions is as productive as it is for mental states. Similar to Sweetser’s body is mind metaphor, we suggest that vision is emotion. The domain of visual perception in oat texts displays a strong connection to intellection; however, there is no evidence in our data indicating that the verbs gör- and baḳ- have meaning extension to ‘to know’. The phenomenon-based verbs görin- and gözük- have mainly two meaning extensions: one is related to physical existence, as in ‘occur’ and ‘appear’ in English. When these verbs co-occur with nouns and adjectives, they reflect the speakers’ judgements and beliefs by means of a metaphor.

Visual Perception of Regularity and the Composition Pattern Type of the Facade

The present study investigates the degree of visual regularity perceived by viewers in architectural compositions, specifically concerning the type of pattern used. The research is grounded in psychological and neuropsychological universal determinants of visual perception, particularly the perception of visual regularity. The study is based on an empirical survey that involved 48 participants who rated various compositions on a Likert scale. The stimuli presented consisted of a typology of compositional patterns of facades of Polish multifamily buildings developed by Malewczyk, Taraszkiewicz, and Czyż in 2022. The survey results were subjected to statistical analyses, which revealed a clear relationship between the type of composition and its perceived regularity. This implies that architects can predict the perceived regularity of a composition based on its type, which is crucial since visual regularity is closely linked to the sense of spatial order and aesthetic value. Both of these aspects are vital for perceiving architecture as a built environment. The study highlights the significance of visual perception in architectural design, particularly how the public perceives composition types.

Visual Perception and Multimodal Control: A Novel Approach to Designing an Intelligent Badminton Serving Device

Addressing the current issue of limited control methods for badminton serving devices, this paper proposes a vision-based multimodal control system and method for badminton serving. The system integrates computer vision recognition technology with traditional control methods for badminton serving devices. By installing vision capture devices on the serving device, the system identifies various human body postures. Based on the content of posture information, corresponding control signals are sent to adjust parameters such as launch angle and speed, enabling multiple modes of serving. Firstly, the hardware design for the badminton serving device is presented, including the design of the actuator module through 3D modeling. Simultaneously, an embedded development board circuit is designed to meet the requirements of multimodal control. Secondly, in the aspect of visual perception for human body recognition, an improved BlazePose candidate region posture recognition algorithm is proposed based on existing posture recognition algorithms. Furthermore, mappings between posture information and hand information are established to facilitate parameter conversion for the serving device under different postures. Finally, extensive experiments validate the feasibility and stability of the developed system and method.

PSYCHOLOGY OF DEVIANT FORMS OF ECONOMIC PERSONAL BEHAVIOR IN CYBERSPACE

The goal of the research achieved by the author is the analysis of psychological features of deviant forms of economic behavior of an individual in cyberspace. Methodology. To implement the problematic completeness of the research and obtain scientifically based and reliable results and general conclusions, a complex of theoretical methods was used: synthesis, logic and structure of the presentation, analysis and generalization, tools of scientific source studies. Linguistic methodology and the method of cognition were used to study the problematic issues of this work in the unity of their visual and factual perception, social content, legal and terminological form of representation. The systemic-structural approach made it possible to conceptually form, implement the theoretical foundations and model the complexity of the research discourse. Results. It is shown that human crime and delinquency are related to both external factors (interaction with other types of crime, age, gender, material values, influence of peers) and internal factors that mediate criminal tendencies. It was concluded that the specifics of deviant forms of individual economic behavior in cyberspace have not yet been sufficiently studied, and attention is focused on more common types of cyber deviance. Instead, the actual problems are the peculiarities of the formation of economic cyber deviance; the detection of a tendency to this type of behavior; planning correctional and educational psychological work with deviants and victims of economic cybercrimes. An important problem is the difficulty of conducting research taking into account the key feature of cyberspace - anonymity.

Differences in the body image based on physical parameters among young women from the Czech Republic and Slovakia.

The increased prevalence of overweight and obesity in the Czech Republic and Slovakia has led to heightened emphasis on weight control, particularly among women. Our aim is to explore body image perceptions among women in both countries and compare their attitudes, focusing on the relationship between body image and body mass index (BMI), height, weight, body fat and the weight control. The cross-sectional study involved 358 female students from the University of Pardubice and Constantine the Philosopher University in Nitra, with equal representation from the Czech Republic and Slovakia. Body parameters were assessed using anthropometric methods and the InBody 230 diagnostic device, while participants' perceptions of their bodies were evaluated using the Body Shape Questionnaire. The results confirmed that BMI did not significantly influence self-perception among Slovak students, while Czech participants with increasing obesity tended to perceive themselves more negatively. Significantly higher median values for BMI (p = 0.0509), weight (p = 0.0507), height (p = 0.05) and body image (p = 0.002) were observed in the Czech Republic compared with Slovakia. No significant difference was found in weight control and fat between participants from both countries. Although obesity was demonstrated in both nations, body satisfaction was different for participants from the Czech Republic and Slovakia.

Engineering Graphene Phototransistors for High Dynamic Range Applications.

Phototransistors are light-sensitive devices featuring a high dynamic range, low-light detection, and mechanisms to adapt to different ambient light conditions. These features are of interest for bioinspired applications such as artificial and restored vision. In this work, we report on a graphene-based phototransistor exploiting the photogating effect that features picowatt- to microwatt-level photodetection, a dynamic range covering six orders of magnitude from 7 to 107 lux, and a responsivity of up to 4.7 × 103 A/W. The proposed device offers the highest dynamic range and lowest optical power detected compared to the state of the art in interfacial photogating and further operates air stably. These results have been achieved by a combination of multiple developments. For example, by optimizing the geometry of our devices with respect to the graphene channel aspect ratio and by introducing a semitransparent top-gate electrode, we report a factor 20-30 improvement in responsivity over unoptimized reference devices. Furthermore, we use a built-in dynamic range compression based on a partial logarithmic optical power dependence in combination with control of responsivity. These features enable adaptation to changing lighting conditions and support high dynamic range operation, similar to what is known in human visual perception. The enhanced performance of our devices therefore holds potential for bioinspired applications, such as retinal implants.

Enhanced Solar Coronal Imaging: A GAN Approach with Fused Attention and Perceptual Quality Enhancement

The activity of the solar corona has a significant impact on all aspects of human life. People typically use images obtained from astronomical telescopes to observe coronal activities, among which the Atmospheric Imaging Assembly (AIA) of the Solar Dynamics Observatory (SDO) is particularly widely used. However, due to resolution limitations, we have begun to study the application of generative adversarial network super-resolution techniques to enhance the image data quality for a clearer observation of the fine structures and dynamic processes in the solar atmosphere, which improves the prediction accuracy of solar activities. We aligned SDO/AIA images with images from the High-Resolution Coronal Imager (Hi-C) to create a dataset. This research proposes a new super-resolution method named SAFCSRGAN, which includes a spatial attention module that incorporates channel information, allowing the network model to better capture the corona’s features. A Charbonnier loss function was introduced to enhance the perceptual quality of the super-resolution images. Compared to the original method using ESRGAN, our method achieved an 11.9% increase in Peak Signal-to-Noise Ratio (PSNR) and a 4.8% increase in Structural Similarity (SSIM). Additionally, we introduced two perceptual image quality assessment metrics, the Natural Image Quality Evaluator (NIQE) and Learned Perceptual Image Patch Similarity (LPIPS), which improved perceptual quality by 10.8% and 1.3%, respectively. Finally, our experiments demonstrated that our improved model surpasses other models in restoring the details of coronal images.

Transcranial alternating current stimulation over frontal eye fields mimics attentional modulation of visual processing.

Attentional control over sensory processing has been linked to neural alpha oscillations and related inhibition of cerebral cortex. Despite the wide consensus on the functional relevance of alpha oscillations for attention, precise neural mechanisms of how alpha oscillations shape perception and how this top-down modulation is implemented in cortical networks remain unclear. Here, we tested the hypothesis that alpha oscillations in frontal eye fields (FEF) are causally involved in the top-down regulation of visual processing in humans (male and female). We applied sham-controlled, intermittent transcranial alternating current stimulation (tACS) over bilateral FEF at either 10 Hz (alpha) or 40 Hz (gamma) to manipulate attentional preparation in a visual discrimination task. Under each stimulation condition, we measured psychometric functions for contrast perception and introduced a novel linear mixed modeling approach for statistical control of neurosensory side effects of the electric stimulation. TACS at alpha frequency reduced the slope of the psychometric function, resulting in improved sub-threshold and impaired super-threshold contrast perception. Side effects on the psychometric functions were complex and showed large interindividual variability. Controlling for the impact of side effects on the psychometric parameters by using covariates in the linear mixed model analysis reduced this variability and strengthened the perceptual effect. We propose that alpha tACS over FEF mimicked a state of endogenous attention by strengthening a fronto-occipitoparietal network in the alpha band. We speculate that this network modulation enhanced phasic gating in occipitoparietal cortex leading to increased variability of single-trial psychometric thresholds, measurable as a reduction of psychometric slope.Significance statement Attention is fundamental to the voluntary control of perception and behavior. Yet, precise underlying neural mechanisms remain unclear. Here, we provide evidence for a vital role of frontal alpha oscillations in the regulation of gating of visual information by using intermittent transcranial alternating current stimulation (tACS). We show that modulation of frontal alpha oscillations affected the slope of psychometric functions of visual contrast perception, leading to contrast-dependent improvement and impairment of perception. Our data adds to work on alpha oscillations in spatial attention and studies on the psychometrics of attention. Furthermore, we introduce a novel approach for the statistical control of tACS side effects and thereby contribute to the ongoing debate on outcome variability in studies using transcranial neurostimulation methods.

Touched by beauty: a qualitative inquiry into phenomenology of beauty

AbstractPhilosophy of aesthetics and beauty has traditionally prioritized the sense of vision while deprioritizing the more basic-bodily and thus less “noble” sense of touch. This paper examines bodily aspects of how beauty appears in the experience of visual art and motivates the view that touch is fundamental to such experiences. We appeal to Merleau-Ponty to show the relevance given to touch in his phenomenology of aesthetics, to unfold the meaning of touch as “reversible,” and to understand how vision can be conceptualized as a form of touch. Further, we present four cases of feeling touched by beauty in experiences of visual art collected through interviews with art museum visitors. The descriptions of these experiences show that when people open themselves to an artwork they also open themselves to themselves. Based on the qualitative descriptions, we discuss how Merleau-Ponty’s phenomenology of touch is revelatory of the meaning of feeling “touched” in experiences of beauty.

An edge-simplicity bias in the visual input to young infants.

The development of sparse edge coding in the mammalian visual cortex depends on early visual experience. In humans, there are multiple indicators that the statistics of early visual experiences has unique properties that may support these developments. However, there are no direct measures of the edge statistics of infant daily-life experience. Using head-mounted cameras to capture egocentric images of young infants and adults in the home, we found infant images to have distinct edge statistics relative to adults. For infants, scenes with sparse edge patterns-few edges and few orientations-dominate. The findings implicate biased early input at the scale of daily life that is likely specific to the early months after birth and provide insights into the quality, amount, and timing of the visual experiences during the foundational developmental period for human vision.

The Influence of Culinary Diversity and Tourism Events on Tourist Expenditures (Study in Central Lombok Regency with Destination Image as Intervening Variable)

This research investigates the interplay between culinary diversity, tourism events, destination image, and tourist expenditures in Central Lombok Regency, Indonesia. A quantitative approach utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to analyze data gathered from domestic and international tourists. Hypothesis testing revealed significant positive relationships between culinary diversity and tourist expenditures, tourism events and tourist expenditures, culinary diversity and destination image, tourism events and destination image, as well as indirect effects through destination image on tourist expenditures. The result highlights the economic importance of diverse culinary experiences and engaging events in driving tourism revenue, shaping destination image perceptions, and influencing tourists' spending behaviors. The study underscores the need for integrated destination management strategies to leverage Central Lombok's cultural and gastronomic assets for sustainable tourism development.

Wet Field Bi-Polar Surgical Treatment for Retinopathy

Retinopathy is a major cause due to high blood sugar and it affects the major nerves damage in the back of our eyes. This poor management of sugar levels in our daily intakes and it initiates major cause in human vision. Diabetic retinopathy rectification has most important favored for the every patient whose are affected by the diabetic mellitus. Surgery and surgical instrument based retinopathy has a most featured approach. Wet-field bi- polar cautery is an instrument to reduce the unwanted progressive tissue in our eyes. This device or temperature generated has controlled with the aid of sensor and microcontroller devices. This sensor based temperature optimization has increased the performance of the device. The current scenarios of the device and temperature level have explicated via various electronic devices and improve the surgical performance. Thus the efficiency and effectiveness of the system has most useful for the diabetic retinopathy patients.

DAE-GAN: Underwater Image Super-Resolution Based on Symmetric Degradation Attention Enhanced Generative Adversarial Network

Underwater images often exhibit detail blurring and color distortion due to light scattering, impurities, and other influences, obscuring essential textures and details. This presents a challenge for existing super-resolution techniques in identifying and extracting effective features, making high-quality reconstruction difficult. This research aims to innovate underwater image super-resolution technology to tackle this challenge. Initially, an underwater image degradation model was created by integrating random subsampling, Gaussian blur, mixed noise, and suspended particle simulation to generate a highly realistic synthetic dataset, thereby training the network to adapt to various degradation factors. Subsequently, to enhance the network’s capability to extract key features, improvements were made based on the symmetrically structured blind super-resolution generative adversarial network (BSRGAN) model architecture. An attention mechanism based on energy functions was introduced within the generator to assess the importance of each pixel, and a weighted fusion strategy of adversarial loss, reconstruction loss, and perceptual loss was utilized to improve the quality of image reconstruction. Experimental results demonstrated that the proposed method achieved significant improvements in peak signal-to-noise ratio (PSNR) and underwater image quality measure (UIQM) by 0.85 dB and 0.19, respectively, significantly enhancing the visual perception quality and indicating its feasibility in super-resolution applications.

Lightweight convolutional neural network for fast visual perception of storage location status in stereo warehouse

Lightweight convolutional neural network for fast visual perception of storage location status in stereo warehouse

Association between mukbang and cookbang viewing and body image perception and BMI in adolescents

BackgroundAdolescence is a critical period for establishing healthy eating habits and weight management, essential for preventing obesity and promoting overall health. This study investigates the impact of mukbang and cookbang—popular online broadcasts in Korea that feature excessive consumption of food—on the dietary habits and body image perception of Korean adolescents. With digital media, especially platforms like YouTube, becoming an integral part of daily life, these broadcasts have the potential to significantly influence adolescent health behaviors.MethodsEmploying data from the 18th Korea Youth Risk Behavior Web-based Survey (2022), this descriptive survey research explores the relationship between watching mukbang and cookbang and various health-related factors among adolescents. The survey’s comprehensive dataset provided a unique opportunity to examine this association in a population that is increasingly exposed to digital media content. The analysis focused on the frequency of watching mukbang and cookbang, their impact on eating habits, body mass index (BMI), body shape perception, and body image distortion among adolescents.ResultsThe results revealed a significant engagement with mukbang and cookbang among adolescents, with notable gender differences in viewing habits and effects. Increased frequency of viewing was associated with negative impacts on eating habits and body image perception. Furthermore, psychological factors such as stress levels and sleep quality emerged as significant predictors of the frequency of watching these broadcasts.ConclusionsThis study highlights the need for further investigation into the causal relationships between mukbang and cookbang viewership and adolescent health outcomes. The findings suggest the importance of developing targeted interventions to mitigate the negative influences of such content on adolescents’ eating habits and body perceptions. Given the widespread popularity of these broadcasts, it is crucial to address their potential health implications through public health strategies, educational content, and policy development aimed at promoting healthier lifestyles among adolescents.

3D Reconstruction and Virtual Reality Is an Acceptable and Feasible Method for Addressing Body Image in Bariatric Metabolic Surgery

Abstract Background Patients living with obesity continue to experience body image dissatisfaction following bariatric metabolic surgery. The underlying reasons are poorly understood but may be due to unmet expectations. Negative body image perception following metabolic surgery leads to poorer psychological and clinical outcomes. This study aims to establish the acceptability and feasibility of three-dimensional (3D) reconstruction and virtual reality (VR) as a method of providing psychological support to bariatric patients to improve body image satisfaction and interventional outcomes. Methods Seven participants were recruited from the Imperial Weight Centre. 3D photographs were captured and processed to produce two 3D reconstructed images with 15% and 25% total weight loss. Participants were shown their images using VR and participated in peer group workshops. Results Six participants were retained until the end of the study. Five out of six participants agreed the images provided them with a more accurate representation of their body changes and overall appearance following bariatric metabolic surgery. All participants strongly agreed with the group setting and felt VR facilitated discussions on body image. Overall, all participants felt that the use of VR and 3D reconstruction is beneficial in supporting patients to adjust to changes in their body image after bariatric metabolic surgery. Conclusions This is the first study to explore and demonstrate that 3D reconstruction and VR is an acceptable and feasible method providing patients with a realistic expectation of how their body will change following significant weight loss, potentially improving body image satisfaction after surgery, as well as psychological and interventional outcomes. Graphical Abstract

The relationship between approximate number system and mathematical achievement in 5–6 years children: a parallel mediation analysis

ABSTRACT Studies have demonstrated a significant correlation between the approximate number system (ANS) and early mathematical achievement. However, various explanations exist regarding the underlying cognitive mechanisms that underpin this association. The present study investigated whether the two hypotheses of inhibition control and visual form perception could explain the relationship between kindergarteners’ ANS and mathematical achievements. In spring, data were collected from a sample of 180 kindergarteners (Mage = 5.77 years, SD = 0.59). A parallel mediation analysis was conducted to investigate the role of inhibition control and visual form perception in the link between ANS and math achievement. The results indicated an indirect effect of ANS on mathematical achievements through both inhibition control and visual form perception, with both mediators exhibiting a comparable magnitude. These findings highlight the significance of distinct cognitive abilities that can potentially enhance early mathematical advancement.

A lightweight feature attention fusion network for pavement crack segmentation

AbstractThe occurrence of pavement cracks poses a significant potential threat to road safety, thus the rapid and accurate acquisition of pavement crack information is of paramount importance. Deep learning methods have the capability to offer precise and automated crack detection solutions based on crack images. However, the slow detection speed and huge model size in high‐accuracy models are still the main challenges required to be addressed. Therefore, this research presents a lightweight feature attention fusion network for pavement crack segmentation. This structure employs FasterNet as the backbone network, ensuring performance while reducing model inference time and memory overhead. Additionally, the receptive field block is incorporated to simulate human visual perception, enhancing the network's feature extraction capability. Ultimately, our approach employs the feature fusion module (FFM) to effectively combine decoder outputs with encoder's low‐level features using weight vectors. Experimental results on public crack datasets, namely, CFD, CRACK500, and DeepCrack, demonstrate that compared to other semantic segmentation algorithms, the proposed method achieves both accurate and comprehensive pavement crack extraction while ensuring speed.