Search Results (884)

An intronic GAA repeat expansion in the FGF14 gene was recently identified as a common cause of autosomal dominant GAA-FGF14 ataxia (SCA27B). We aimed to characterize in detail the clinical and video-oculographic features in our cohort of SCA27B patients. We genotyped the FGF14 GAA repeat expansion in 52 patients with unsolved late-onset cerebellar ataxia. Brain MRI and nerve conduction study, as well as video-oculographic (VOG) assessment, were performed. Eight patients (15.4%) with pathogenic GAA repeat expansion in the FGF14 gene were found. The median age at onset was 51 years (range—23–63 years). Sensory axonal neuropathy was found in 5/8 patients. Cerebellar atrophy was observed in 5/8 patients, and in one case, pontocerebellar atrophy was found. All tested patients had impaired smooth pursuit, 5/6 patients had impaired vestibulo-ocular reflex suppression, nystagmus, and an increased number of square wave jerks, 4/6 patients had horizontal gaze-evoked nystagmus, 3/6 had spontaneous downbeat nystagmus, and 1/6 had an upbeat one. Video head impulse test gain was lower than 0.8 on both sides in 2/4 patients, along with the presence of overt saccades. Further studies in different cohorts are needed to complete the phenotype of the FGF14-related disorders. Full article

The advancement of deep learning techniques has significantly propelled the development of the continuous sign language recognition (cSLR) task. However, the spatial feature extraction of sign language videos in the RGB space tends to focus on the overall image information while neglecting the perception of traits at different granularities, such as eye gaze and lip shape, which are more detailed, or posture and gestures, which are more macroscopic. Exploring the efficient fusion of visual information of different granularities is crucial for accurate sign language recognition. In addition, applying a vanilla Transformer to sequence modeling in cSLR exhibits weak performance because specific video frames could interfere with the attention mechanism. These limitations constrain the capability to understand potential semantic characteristics. We introduce a feature fusion method for integrating visual features of disparate granularities and refine the metric of attention to enhance the Transformer’s comprehension of video content. Specifically, we extract CNN feature maps with varying receptive fields and employ a self-attention mechanism to fuse feature maps of different granularities, thereby obtaining multi-scale spatial features of the sign language framework. As for video modeling, we first analyze why the vanilla Transformer failed in cSLR and observe that the magnitude of the feature vectors of video frames could interfere with the distribution of attention weights. Therefore, we utilize the Euclidean distance among vectors to measure the attention weights instead of scaled-dot to enhance dynamic temporal modeling capabilities. Finally, we integrate the two components to construct the model MSF-ET (Multi-Scaled feature Fusion–Euclidean Transformer) for cSLR and train the model end-to-end. We perform experiments on large-scale cSLR benchmarks—PHOENIX-2014 and Chinese Sign Language (CSL)—to validate the effectiveness. Full article

Ain’t I a Woman? This question was raised by activist and self-emancipated former slavewoman Sojourner Truth, who validly questioned the body politic of identity when contextualized to perceptions of female personhood. Essentially, what Truth challenged were presumptions about the standards set to revere female bodies through markers of genteel Whiteness, while the worth of embodied Blackness, precisely the beauty of Black women, is reviled. In this article, I seek to raise awareness about factors of patriarchy and societal ramifications. Patriarchy is a systematized phenomenology of norms privileging the male gaze. The White male gaze, particularly in strongholds of power, influences the body politic of communal identity. Black women tend to lean on their faith to embody strength, yet patriarchy also encumbers the gendered body politic in religious spheres. As a womanist scholar, my analysis considers the intricate roles that patriarchy holds in the cultural production of a genteel, pretty woman image, wherein the aura of Whiteness grounds a body politic that deems Blackness as other. Despite the influences of prevailing macrosystems, I propose a theoethic of self-love to push against negatively biased identity boundaries by affirming ways to embrace Black beauty with a subversive imperative to love oneself regardless. Full article

Current research on game difficulty prediction mainly uses heuristic functions or physiological signals. The former does not consider user data, while the latter easily causes interference to the user. This paper proposes a difficulty prediction method based on multiple facial cues and game performance. Specifically, we first utilize various computer vision methods to detect players’ facial expressions, gaze directions, and head poses. Then, we build a dataset by combining these three kinds of data and game performance as inputs, with the subjective difficulty ratings as labels. Finally, we compare the performance of several machine learning methods on this dataset using two classification tasks. The experimental results showed that the multilayer perceptron classifier (abbreviated as MLP) achieved the highest performance on these tasks, and its accuracy increased with the increase in input feature dimensions. These results demonstrate the effectiveness of our method. The proposed method could assist in improving game design and user experience. Full article

Background/Objectives: Atypical parkinsonian syndromes (APSs) are a group of neurodegenerative disorders that differ from idiopathic Parkinson’s disease (IPD) in their clinical presentation, underlying pathology, and response to treatment. APSs include conditions such as multiple system atrophy (MSA), progressive supranuclear palsy (PSP), corticobasal syndrome (CBS), and dementia with Lewy bodies (DLB). These disorders are characterized by a combination of parkinsonian features and additional symptoms, such as autonomic dysfunction, supranuclear gaze palsy, and asymmetric motor symptoms. Many hypotheses attempt to explain the causes of neurodegeneration in APSs, including interactions between environmental toxins, tau or α-synuclein pathology, oxidative stress, microglial activation, and vascular factors. While extensive research has been conducted on APSs, there is a limited understanding of the symmetry in these diseases, particularly in MSA. Neuroimaging studies have revealed metabolic, structural, and functional abnormalities that contribute to the asymmetry in APSs. The asymmetry in CBS is possibly caused by a variable reduction in striatal D2 receptor binding, as demonstrated in single-photon emission computed tomography (SPECT) examinations, which may explain the disease’s asymmetric manifestation and poor response to dopaminergic therapy. In PSP, clinical dysfunction correlates with white matter tract degeneration in the superior cerebellar peduncles and corpus callosum. MSA often involves atrophy in the pons, putamen, and cerebellum, with clinical symmetry potentially depending on the symmetry of the atrophy. The aim of this review is to present the study findings on potential symmetry as a tool for determining potential neuropsychological disturbances and properly diagnosing APSs to lessen the misdiagnosis rate. Methods: A comprehensive review of the academic literature was conducted using the medical literature available in PubMed. Appropriate studies were evaluated and examined based on patient characteristics and clinical and imaging examination outcomes in the context of potential asymmetry. Results: Among over 1000 patients whose data were collected, PSP-RS was symmetrical in approximately 84% ± 3% of cases, with S-CBD showing similar results. PSP-P was symmetrical in about 53–55% of cases, while PSP-CBS was symmetrical in fewer than half of the cases. MSA-C was symmetrical in around 40% of cases. It appears that MSA-P exhibits symmetry in about 15–35% of cases. CBS, according to the criteria, is a disease with an asymmetrical clinical presentation in 90–99% of cases. Similar results were obtained via imaging methods, but transcranial sonography produced different results. Conclusions: Determining neurodegeneration symmetry may help identify functional deficits and improve diagnostic accuracy. Patients with significant asymmetry in neurodegeneration may exhibit different neuropsychological symptoms based on their individual brain lateralization, impacting their cognitive functioning and quality of life. Full article

A visual workload model was constructed to determine and evaluate drivers’ visual workload characteristics in high-density interchange-merging areas. Five interchanges were selected, and a real-vehicle driving test was conducted with 47 participants. To address the differences in drivers’ visual characteristics in the interchange cluster merging areas, the Criteria Importance Through Intercriteria Correlation (CRITIC) objective weighting method was employed. Six visual parameters were selected to establish a comprehensive evaluation model for the visual workload in high-density interchange-merging areas. The results show that the average scanning frequency and average pupil area change rate are most strongly correlated with the visual workload, whereas the average duration of a single gaze has the lowest weight in the visual workload assessment system. Different driver visual workloads were observed depending on the environment of the interchange-merging areas, and based on these, recommendations are proposed to decrease drivers’ workload, thereby increasing road safety. Full article

Advancements in technology that can reshape educational paradigms, with Extended Reality (XR) have a pivotal role. This paper introduces an interactive XR intelligent assistant featuring a virtual teacher that interacts dynamically with PowerPoint presentations using OpenAI’s ChatGPT API. The system incorporates Azure Cognitive Services for multilingual speech-to-text and text-to-speech capabilities, custom lip-syncing solutions, eye gaze, head rotation and gestures. Additionally, panoramic images can be used as a sky box giving the illusion that the AI assistant is located at another location. Findings from three pilots indicate that the proposed technology has a lot of potential to be used as an additional tool for enhancing the learning process. However, special care must be taken into privacy and ethical issues. Full article

Point-of-gaze estimation is part of a larger set of tasks aimed at improving user experience, providing business insights, or facilitating interactions with different devices. There has been a growing interest in this task, particularly due to the need for upgrades in e-meeting platforms during the pandemic when on-site activities were no longer possible for educational institutions, corporations, and other organizations. Current research advancements are focusing on more complex methodologies for data collection and task implementation, creating a gap that we intend to address with our contributions. Thus, we introduce a methodology for data acquisition that shows promise due to its nonrestrictive and straightforward nature, notably increasing the yield of collected data without compromising diversity or quality. Additionally, we present a novel and efficient convolutional neural network specifically tailored for calibration-free point-of-gaze estimation that outperforms current state-of-the-art methods on the MPIIFaceGaze dataset by a substantial margin, and sets a strong baseline on our own data. Full article

In art-historical terms, a self-portrait in assistenza refers to an artist having inserted their own likeness into a larger work. In Renaissance-era art, more than 90 examples have been identified, famously including Botticelli’s Adoration of the Magi (c. 1478/1483). There, Botticelli glances out from the painting, making direct eye contact with the viewer, a feature that appears in other self-portraits of the type. In ancient Egypt, it was not commonly accepted that an artist would lay claim to it, especially when the work’s scale imposed diversification of tasks to be performed or teamwork organized on a workshop basis. This article will present evidence discovered in the Chapel of Hatshepsut in her temple at Deir el-Bahari that can be interpreted as a self-portrait in assistenza and indicates that Djehuty, Overseer of the Treasury under Hatshepsut, took the lead role there. If this identification is valid, the room’s decoration gains an additional layer of meaning and may be “read” in terms of Djehuty’s message, comparable to Botticelli gazing out from his Adoration of the Magi. This ancient Egyptian case will illustrate how that artist-designer, in interweaving subtle indicators of his involvement in the work, expresses awareness both of his intellectual skills and of his pride in creation. Full article

This article examines British Sufi responses to the COVID-19 pandemic within the broader context of Muslim experiences of and reactions to the pandemic. Set within a discussion pertaining to classical and contemporary expressions of Sufism, this article explores Sufi phenomena, including the murshid–murid (Sufi master–novice) dynamic, collective gathering and Sufi gaze (nazar) and whether these phenomena were possible within the inevitable digital environments Sufis were forced into as a result of the COVID pandemic and subsequent lockdowns, experienced in Britain. The author explores Sufi social and intellectual phenomena within classical and contemporary literature in relation to Sufi experiences in the West. She concludes that varied lived experiences and differing views on Sufism and both its classical and contemporary expressions were brought into question as a consequence of the COVID pandemic, the exploration of which are necessary in juxtaposition to one another to add nuance and depth and create holistic research of Sufi communities and Sufism more broadly, within contemporary Britain and further afield. Full article

Media ethics has long been haunted by the question of representing human beings’ vulnerability to violence. While journalism and photojournalism have an obligation to report on the realities of violence and suffering in the world, the “spectacle of suffering” is fraught with ethical dilemmas. In this essay, I seek to theorize the ethics of vulnerability to violence in media representation. As a starting point, I argue for the politics of embodiment as a generative process that constitutes differential vulnerabilities. I move then to consider the way embodied vulnerabilities play out in the media, as exemplified by recent events such as the Black Lives Matter and MeToo movements as well as in times of war, from Vietnam to, more recently, Ukraine and Israel/Palestine. This leads to considerations of spectatorship: who looks and who is looked at? How are these relations of gazing related to the vectors of social and geopolitical power? Are images of embodied vulnerability simply media spectacles that reinforce power hierarchies, or are they powerful prosocial messages that might mobilize humanitarian activism? To address these epistemic questions, I propose that the feminist ethics of care encompasses an invitational rhetoric that can guide media praxis. Care ethics is aligned with various religious epistemologies, and because of that, I argue for it as an umbrella framework that has application in a variety of national and cultural contexts. Full article

This study investigated the effect of layout order on the complexity of the dashboard interface based on screen-based eye trackers. By simplifying and abstracting dashboard interfaces and incorporating subjective ratings (symmetry and unity calculations), we successfully manipulated the levels of complexity and layout order of the interface materials. Using four types of eye movement data (total fixation count, total gaze duration, scanning paths, and hotspot maps) and behavioral data, we compared participants’ visual search behavior on interfaces with different layout orders and complexity levels. Experiment 1 revealed a significant interaction between layout order and interface complexity, with participants performing significantly better in the high-level layout order condition. Experiment 2 confirmed that the position of the core chart plays a crucial role in users’ visual search behavior and that the optimal layout order for the dashboard is to place the core chart on the left side of the interface’s horizontal axis, with partial symmetry in the no-core chart areas. This study highlights the effectiveness of eye-tracking techniques in user interface design research and provides valuable insights into optimizing dashboard interface design. Designers should adopt the design principle of “order is more” in addition to “less is more” and consider designing the core chart in the left-center position. Full article

Trajectory tracking for underactuated autonomous underwater vehicles (AUVs) is challenging due to coupling dynamics, modeling inaccuracies, and unknown disturbances. To tackle this, we propose a decoupling gaze-assisted prescribed performance controller (GAPPC). We first use an error transformation approach to achieve the prescribed performance, incorporating the line-of-sight (LOS) algorithm and an event-triggering mechanism to handle the kinematic characteristics of underactuated AUVs. Next, we develop a control strategy for the transformed error that does not require knowledge of the model parameters, including fast dynamic compensation to reduce steady-state errors. Finally, we analyze the controller’s stability and present simulation results. Simulations, which account for modeling inaccuracies and unknown ocean currents, show that the GAPPC improves stability errors by 67.3% compared to the adaptive robust controller. Full article

Artificial intelligence (AI) tools are rapidly transforming the field of traditional artistic creation, influencing painting processes and human creativity. This study explores human–AI cooperation in real-time artistic drawing by using the AIGC tool KREA.AI. Participants wear eye trackers and perform drawing tasks by adjusting the AI parameters. The research aims to investigate the impact of cross-screen and non-cross-screen conditions, as well as different viewing strategies, on cognitive load and the degree of creative stimulation during user–AI collaborative drawing. Adopting a mixed design, it examines the influence of different cooperation modes and visual search methods on creative efficacy and visual perception through eye-tracking data and creativity performance scales. The cross-screen type and task type have a significant impact on total interval duration, number of fixation points, average fixation duration, and average pupil diameter in occlusion decision-making and occlusion hand drawing. There are significant differences in the variables of average gaze duration and average pupil diameter among different task types and cross-screen types. In non-cross-screen situations, occlusion and non-occlusion have a significant impact on average gaze duration and pupil diameter. Tasks in non-cross-screen environments are more sensitive to visual processing. The involvement of AI in hand drawing in non-cross-screen collaborative drawing by designers has a significant impact on their visual perception. These results help us to gain a deeper understanding of user behaviour and cognitive load under different visual tasks and cross-screen conditions. The analysis of the creative efficiency scale data reveals significant differences in designers’ ability to supplement and improve AI ideas across different modes. This indicates that the extent of AI participation in the designer’s hand-drawn creative process significantly impacts the designer’s behaviour when negotiating design ideas with the AI. Full article

Construction work and regular inspection work at nuclear power plants involve many special tasks, unlike general on-site work. In addition, the opportunity to transfer knowledge from skilled workers to unskilled workers is limited due to the inability to easily enter the plant and various security and radiation exposure issues. Therefore, in this study, we considered the application of virtual reality (VR) as a method to increase opportunities to learn anytime and anywhere and to transfer knowledge more effectively. In addition, as an interactive learning method to improve comprehension, we devised a system that uses hand tracking and eye tracking to allow participants to experience movements and postures that are closer to the real work in a virtual space. For hand-based work, three actions, “pinch”, “grab”, and “hold”, were reproduced depending on the sizes of the parts and tools, and visual confirmation work was reproduced by the movement of the gaze point of the eyes, faithfully reproducing the special actions of the inspection work. We confirmed that a hybrid learning process that appropriately combines the developed active learning method, using experiential VR, with conventional passive learning methods, using paper and video, can improve the comprehension and retention of special work at nuclear power plants. Full article