Visual Trajectory Research Articles

Augmented and Virtual Reality Based Segmentation Algorithm for Human Pose Detection in Wearable Cameras

Pose graph optimisation is a crucial method that helps reduce cumulative errors while estimating visual trajectories for wearable cameras. However, when the posture graph's size increases with each additional camera movement, the optimization's efficiency diminishes. In terms of ongoing sensitive applications, such as extended reality and computer-generated reality, direction assessment is a major test. This research proposes an incremental pose graph segmentation technique that accounts for camera orientation variations as a solution to this challenge. The computation only improves the cameras that have seen large direction changes by breaking the posture chart during these instances. As a result, pose graph optimisation is essentially slowed down and optimised more quickly. For every camera that hasn't been optimised using a pose graph, the algorithm employs the wearable cameras at the start and end of each camera's trajectory segment. The final camera in attendance is then determined by weighted average the various postures evaluated with these wearable cameras; this eliminates the need for lengthy nonlinear enhancement computations, reduces disturbance, and achieves excellent accuracy. Experiments on the EuRoC, TUM, and KITTI datasets demonstrate that pose graph optimisation scope is reduced while maintaining camera trajectories accuracy.

A marker-based method for visual-inertial initialization

Accurate and robust initialization is significant for visual-inertial simultaneous localization and mapping (VI-SLAM). Existing methods solve VI-SLAM initialization based on visual information. However inertial measurement unit (IMU) parameter estimation performed underwater is subject to two major limitations. First, IMU preintegration error accumulates over time, resulting in reduced accuracy. Second, it is difficult for robots to achieve sufficient movement underwater, which affects the reliability of initialization results. For a better balance between the efficiency and accuracy of VI-SLAM initialization, this study proposes a VI-SLAM initialization method using a designed marker calibration device. First, we utilize both marker points and ORB feature points for a fast and robust visual trajectory estimation with real motion scale, and we estimate the gravity direction using the marker calibration device. Second, the IMU trajectory is aligned with the trajectory, and the IMU parameters are solved using the initial gravity direction. Experiments verify the effectiveness of our developed method for improving the accuracy and efficiency of the VI-SLAM initialization. The code is available at https://gitee.com/litseaak/mmorb.

Predictors and consequences of visual trajectories in Chinese older population: A growth mixture model.

Given the relatively high prevalence of vision impairment and the heterogeneity of visual changes among the elderly population, we aimed to identify the visual trajectories and to examine the predictors and consequences associated with each trajectory class. We analysed data from 2235 participants involved in the 5th, 6th, 7th, and 8th waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), where vision impairment was evaluated using an adapted Landolt-C chart during each wave. We employed a growth mixture model (GMM) to identify distinct visual trajectories and logistic regression analysis to examine the predictors associated with each trajectory class. Furthermore, we investigated the effect of visual trajectories on distal consequences, including cognitive function, activities of daily living (ADL), instrumental activities of daily living (IADL), depression, anxiety, and fall risk. Within the CLHLS study, cognitive function was assessed using the Chinese version of the Mini-Mental State Examination (CMMSE), ADL via the Katz index, and IADL through a modified version of Lawton's scale. Lastly, depression was assessed using the 10-item version of the Centre for Epidemiologic Studies (CES-D-10), while anxiety was measured using the Generalized Anxiety Disorder scale (GAD-7). Fall risk was determined by asking the question: 'Have you experienced any falls within the past year?' We identified two distinct visual trajectories in our analysis. Most older adults (n = 1830, 81.9%) initially had a good vision level that diminished ('high-baseline decline' group). Conversely, the remaining participants (n = 405, 18.1%) initially had a lower vision level that improved over time ('low-baseline improvement' group). The 'high-baseline decline' group was more likely to include older adults with relatively higher body mass index (BMI) (odds ratio (OR) = 1.086; 95% confidence interval (CI) = 1.046, 1.127), individuals with higher formal educational qualifications (OR = 1.411; 95% CI = 1.068, 1.864), those current engaging in exercise (OR = 1.376; 95% CI = 1.046, 1.811), and individuals reporting more frequent consumption of fruit (OR = 1.357; 95% CI = 1.053, 1.749). Conversely, the 'low-baseline improvement' group had a higher likelihood of including older individuals (OR = 0.947; 95% CI = 0.934, 0.961), residents of nursing homes (OR = 0.340; 95% CI = 0.116, 0.993) and those self-reporting cataracts (OR = 0.268; 95% CI = 0.183, 0.391) and glaucoma (OR = 0.157; 95% CI = 0.079, 0.315). Furthermore, the 'high-baseline decline' group showed a positive impact on distal consequences, adjusting for sex, birthplace, residence, main occupation, education, economic status, and marital status. This impact included cognitive function (correlation coefficient (β) = 2.092; 95% CI = 1.272, 2.912), ADL (β = -0.362; 95% CI = -0.615, -0.108), IADL (β = -1.712; 95% CI = -2.304, -1.121), and reported lower levels of depression (β = 0.649; 95% CI = 0.013, 1.285). We observed no significant influence on fall risk and anxiety within the identified visual trajectories in the adjusted model. Vision in older adults with ocular disease could potentially be improved. Having formal education, maintaining an appropriate BMI, engaging in exercise, and consuming fruit more frequently appear to be beneficial for the visual health of the elderly. Considering the negative impact of visual impairment experience on distal cognition, self-care ability, and depression symptoms, stakeholder should prioritise long-term monitoring and management of vision impairment among older adults.

MEG frequency tagging reveals a grid-like code during attentional movements

Grid-cells firing fields tile the environment with a 6-fold periodicity during both locomotion and visual exploration. Here, we tested, in humans, whether movements of covert attention elicit grid-like coding using frequency tagging. Participants observed visual trajectories presented sequentially at fixed rate, allowing different spatial periodicities (e.g., 4-, 6-, and 8-fold) to have corresponding temporal periodicities (e.g., 1, 1.5, and 2Hz), thus resulting in distinct spectral responses. We found a higher response for the (grid-like) 6-fold periodicity and localized this effect in medial-temporal sources. In a control experiment featuring the same temporal periodicity but lacking spatial structure, the 6-fold effect did not emerge, suggesting its dependency on spatial movements of attention. We report evidence that grid-like signals in the human medial-temporal lobe can be elicited by covert attentional movements and suggest that attentional coding may provide a suitable mechanism to support the activation of cognitive maps during conceptual navigation.

Stability Analysis of Neutral Fractional Stochastic Differential Equations Driven by Mixed Brownian Motion and Subfractional Brownian Motion With Applications in the I-Cub Robot

Exponential stability is often used to barricade stochastic disturbance in visual trajectory tracking of a robotic system. In this work, a nonlinear mathematical model to deal with the exponential stability of visual trajectory in the I-cub robot is developed. The main contributions of this article are: 1) exponential stability is studied for the first time in the literature for the neutral fractional stochastic differential equations (NFSDEs) driven by mixed Brownian motion (Bm) and subfractional Bm (sub-fBm); 2) existence and stability results are derived based on the Banach contraction principle, semi-group theory, and fractional calculus in stochastic settings; 3) stability results of mixed Bm and sub-fBm are established and applied to avoid dense environment stochastic disturbance in the visual trajectory of the I-cub robot; and 4) stability of sub-fBm is entrusted in the dense environment even in small particles from the shorter length. A weak solution of the proposed result ensures a sufficiently smooth solution of the considered robotic system. The obtained results are new and innovative in the sense that the proposed algorithms have several advantages for gaze shift framed to the I-cub robot, including helping to maintain the fixation of eye movement in the microscopic laboratory. Furthermore, the results are used to enhance the performance of decreasing rendering gaze shift to achieve high-quality visual tracking.

PROPOSAL FOR A LANDSCAPE EVALUATION SYSTEM

Abstract. This paper describes a system, currently being designed, for both perceptual analysis and aesthetic evaluation of a landscape. The choice of this topic is motivated by the fact that systems related to landscape visibility (e.g. Geographical Information Systems (GIS) for visual impact assessment) are not fully satisfactory when it comes to assessing the aesthetic appearance. They mainly analyse geometric aspects, such as the width of visual basins or the interference of visual trajectories, which can be expressed by objective and comparable parameters. Instead, for effective landscape knowledge and protection, it is important to consider other factors that cannot be easily measured, namely the quality of human perception, i.e. the aesthetic judgements that people can express about a landscape.Based on these considerations, a system has been designed in order to analyse the elements that can influence the aesthetic judgement of a landscape and therefore simulate the more probable aesthetic judgement. Unlike GIS generally works, this system does not use maps, but perspective views obtained by means of vehicle-mounted cameras, as in mobile mapping technology (MMT).Research into the system described below consisted of two parts: firstly how to form the database on which the system is based and secondly how to use the system. The database contains a large number of views analysed in terms of geometric, qualitative, thematic, topological and gestalt aspects; the results of these analyses are recorded in tables and improved through a parameter expressing an aesthetic judgement. This aesthetic judgement is obtained by processing the responses of a group of participants to a sociological and/or neurological survey (i.e. Functional Magnetic Resonance Imaging). In the operational phase, a new view will be evaluated by comparison with the views stored in the database The new view will be given a judgment, obtained by processing the judgments of the most similar views.The idea of this system applies both to the assessment of a single view and to the evaluation of territorial contexts. Once this system has been defined, it will have to be tested through practical application.

PW-360IQA: Perceptually-Weighted Multichannel CNN for Blind 360-Degree Image Quality Assessment.

Image quality assessment of 360-degree images is still in its early stages, especially when it comes to solutions that rely on machine learning. There are many challenges to be addressed related to training strategies and model architecture. In this paper, we propose a perceptually weighted multichannel convolutional neural network (CNN) using a weight-sharing strategy for 360-degree IQA (PW-360IQA). Our approach involves extracting visually important viewports based on several visual scan-path predictions, which are then fed to a multichannel CNN using DenseNet-121 as the backbone. In addition, we account for users' exploration behavior and human visual system (HVS) properties by using information regarding visual trajectory and distortion probability maps. The inter-observer variability is integrated by leveraging different visual scan-paths to enrich the training data. PW-360IQA is designed to learn the local quality of each viewport and its contribution to the overall quality. We validate our model on two publicly available datasets, CVIQ and OIQA, and demonstrate that it performs robustly. Furthermore, the adopted strategy considerably decreases the complexity when compared to the state-of-the-art, enabling the model to attain comparable, if not better, results while requiring less computational complexity.

Effect of S-shaped guardrails on pedestrian crowd flows in bottleneck areas

The influence of obstacle effects on personnel traffic flow is a hot topic in the evacuation field. However, research is lacking on the use of S-shaped guardrails in daily life. Based on previous studies, we placed two S-shaped guardrails in front of an exit. Thereafter, a real person evacuation experiment was designed, and 97 volunteers were recruited to the application of this structure in terms of crowd management and evacuation. The evacuation time, visual trajectory, spatial and instantaneous velocity, regional density, and other data were studied in detail. The study found that in the 97-person experiment, the addition of the S-shaped guardrails prolonged the evacuation time. Considering speed and density, the average instantaneous velocity of pedestrians in the structure was higher and maximum area density smaller. In addition, a phenomenon was observed in the study that large angle turns eradicated the zipper effect generated by a narrow channel width, preventing the accumulation of high density and pressure. This, is expected to provide some reference for channel design in real life.

Exploring visual pain trajectories in neck pain patients, using clinical course, SMS-based patterns, and patient characteristics: a cohort study

BackgroundThe dynamic nature of neck pain has so far been identified through longitudinal studies with frequent measures, a method which is time-consuming and impractical. Pictures illustrating different courses of pain may be an alternative solution, usable in both clinical work and research, but it is unknown how well they capture the clinical course. The aim of this study was to explore and describe self-reported visual trajectories in terms of details of patients’ prospectively reported clinical course, their SMS-based pattern classification of neck pain, and patient’s characteristics.MethodsProspective cohort study including 888 neck pain patients from chiropractic practice, responding to weekly SMS-questions about pain intensity for 1 year from 2015 to 2017. Patients were classified into one of three clinical course patterns using definitions based on previously published descriptors. At 1-year follow-up, patients selected a visual trajectory that best represented their retrospective 1-year course of pain: single episode, episodic, mild ongoing, fluctuating and severe ongoing.ResultsThe visual trajectories generally resembled the 1-year clinical course characteristics on group level, but there were large individual variations. Patients selecting Episodic and Mild ongoing visual trajectories were similar on most parameters. The visual trajectories generally resembled more the clinical course of the last quarter.DiscussionThe visual trajectories reflected the descriptors of the clinical course of pain captured by weekly SMS measures on a group level and formed groups of patients that differed on symptoms and characteristics. However, there were large variations in symptoms and characteristics within, as well as overlap between, each visual trajectory. In particular, patients with mild pain seemed predisposed to recall bias. Although the visual trajectories and SMS-based classifications appear related, visual trajectories likely capture more elements of the pain experience than just the course of pain. Therefore, they cannot be seen as a proxy for SMS-tracking of pain over 1 year.

Violated expectations for spatial and feature attributes of visual trajectories modulate event-related potential amplitudes across the visual processing hierarchy

During visual perception, the brain must combine its predictions about what is to be perceived with incoming relevant information. The present study investigated how this process interacts with attention by using event-related potentials that index these cognitive mechanisms. Specifically, this study focused on examining how the amplitudes of the N170, N2pc, and N300 would be modulated by violations of expectations for spatial and featural attributes of visual stimuli. Participants viewed a series of shape stimuli in which a salient shape moved across a set of circular locations so that the trajectory of the shape implied the final position and shape of the stimulus. The final salient stimuli occurred in one of four possible outcomes: predictable position and shape, predictable position but unpredictable shape, unpredictable position but predictable shape, and unpredictable position and shape. The N170 was enhanced by unpredictable positions and shapes, whereas the N300 was enlarged only by unpredictable positions. The N2pc was not modulated by violations of expectations for shapes or positions. Additionally, it was observed post-hoc that the P1pc amplitude was increased by unpredictable shapes. These findings revealed that incorrect prediction increases neural activity. Furthermore, they suggest that prediction and attention interact differently in different stages of visual perception, depending on the type of attention being engaged: The N170 indexes initial prediction error signalling irrespective of the type of information (spatial or featural) in which error occurs, followed by the N300 as a marker of prediction updating involving reorientation of spatial attention.

The association between visual trajectories and cognitive impairment: insights from the Taiwan Longitudinal Study on Aging.

Visual impairment (VI) was associated with cognitive impairment. However, different visual trajectories might contribute to different risks of cognitive decline in the elderly. This study aimed to evaluate the association between visual trajectories and cognitive impairment. Four thousand two hundred eight community-dwelling elder adults were identified from Waves IV-VII (1999-2011) survey of the Taiwan Longitudinal Study on Aging (TLSA). Cognitive function was determined using the Short Portable Mental Status Questionnaire (SPMSQ) scores. Visual impairment was self-reported and visual trajectories were assessed in at least two waves of the survey. Ordinal logistic regression was performed to estimate adjusted odds ratios (adjORs) and 95% confidence intervals (CIs). Participants with visual trajectory from no VI to VI had significantly higher risk of cognitive impairment with an adjOR of 1.69 (95% CI 1.12-2.57) than participants without VI. Compared to participants without VI, participants with persistent VI (adjOR 1.32; 95% CI 0.89-1.96) and with visual trajectory from VI to no VI (adjOR 1.25; 95% CI 0.83-1.88) were not associated with cognitive impairment. A protective association between eyeglasses use and cognitive impairment (adjOR 0.69; 95% CI 0.55-0.87) was found in this study. Importantly, cataract was associated with higher risk of cognitive impairment (adjOR 1.34; 95% CI 1.10-1.62). However, nonsurgical cataract treatment did not show protective effect on cognitive impairment in patients with cataract. Visual trajectory from no VI to VI is a significant risk factor for cognitive impairment that physicians should pay special attention during community screening.

Research on automatic parking path optimization based on Ackerman model

In modern society, cars have been widely used. Every driver will face the problem of reversing. Experienced drivers can park the car to the designated position quickly and accurately. However, most drivers, especially some novices who have just obtained their driver's license, are very worried about the problem of parking. It is often difficult to meet both accuracy and speed. At this time, the automatic parking system appeared in front of the public. As one of the representative systems in the era of vehicle intelligence, the automatic parking system has become the main way for major automobile companies to show their strength in vehicle intelligence; In today's increasingly scarce parking spaces and shrinking parking space, automatic parking system has gradually become a "standard accessory" of vehicles and one of the main reference items for consumers to buy cars. Based on theory and practice, this paper analyzes the possible situations of automatic parking and solves the following problems to improve the automatic parking system. The acceleration model is solved by differential method. The unmanned vehicle travels along a straight line for 1.381m and reaches the maximum limit speed of 20km / h. When unmanned vehicle turns, it is necessary to establish the model of minimum curvature path and minimum path length to express the relationship between them. The initial position of the unmanned vehicle is at the intersection of the parking lot. Three parking situations will be considered, namely vertical parking space, parallel parking space and inclined parking space. A visual trajectory graph will be established to indicate the speed, path, acceleration and other parameters of each point, which vividly shows that the parking can be completed safely and quickly without conflict and collision.

Generalization of reference filtering control strategy for 2D/3D visual feedback control of industrial robot manipulators

ABSTRACT This paper develops the application of the Dual Rate Dual Sampling Reference Filtering Control Strategy to 2D and 3D visual feedback control. This strategy allows to overcome the problem of sensor latency and to address the problem of control task failure due to visual features leaving the camera field of view. In particular, a Dual Rate Kalman Filter is used to generate inter-sample estimations of the visual features to deal with the problem of vision sensor latency, whereas a Dual Rate Extended Kalman Filter Smoother is used to generate more convenient visual features trajectories in the image plane. Both 2D and 3D visual feedback control approaches are widely analyzed throughout the paper, as well as the overall system performance using different visual feedback controllers, providing a set of results that highlight the improvements in terms of solution reachability, robustness, and time domain response. The proposed control strategy has been validated on an industrial system with hard real-time limitations, consisting of a 6 DOF industrial manipulator, a 5 MP camera, and a PLC as controller.

Visual trajectories and risk of physical and cognitive impairment among older Chinese adults.

To identify visual trajectories and examine their relationships with physical and cognitive function in older Chinese adults. Population-based longitudinal study. The Chinese Longitudinal Healthy Longevity Survey. A total of 16,151 participants aged ≥65 years. Visual, physical (including activities of daily living [ADL] and instrumental ADL [IADL]), and cognitive function were assessed at baseline and subsequently every 3 years. ADI disability and IADL disability were defined as needing any help in any item of the Katz scale and a modified Lawton's scale, respectively. Cognitive impairment was defined as a Chinese version of the Mini-Mental State Examination score below 24. A group-based trajectory model was used to determine visual trajectories adjusted for age, sex, and education. Associations of visual trajectories with ADL disability, IADL disability, and cognitive impairment were evaluated using generalized estimating equation models adjusted for potential confounders. This study identified three distinct visual trajectories, including no decline (32.4%), moderate decline (48.3%), and progressive decline (19.3%) during the follow-up period. Compared with the no decline trajectory, both the moderate decline (ADL disability: OR=2.75, 95% CI: 2.30-3.28; IADL disability: OR=3.01, 95% CI: 2.74-3.31; cognitive impairment: OR=3.37, 95% CI: 3.02-3.76) and the progressive decline (ADL disability: OR=8.50, 95% CI: 6.55-11.02; IADL disability: OR=12.96, 95% CI: 9.95-16.87; cognitive impairment: OR=10.84, 95% CI: 8.89-13.23) trajectories were significantly associated with an increased risk of functional impairment. Compared with the moderate decline trajectory, the progressive decline trajectory was significantly associated with an increased risk of ADL disability (OR=3.09, 95% CI: 2.46-3.89), IADL disability (OR=4.30, 95% CI: 3.29-5.61), and cognitive impairment (OR=3.22, 95% CI:2.63-3.93). Older Chinese adults exhibit three distinct visual trajectories and those with decline trajectories in vision have an increased risk of functional impairment than those with a trajectory of no decline in vision.

Truth and subjectivity in narrative inquiry: augmented reality and digital storytelling in the university classroom

In my university classroom teaching, I draw on my interdisciplinary background as both a humanistic scholar and a documentary filmmaker, presenting an approach to learning that integrates scholarship with a digital storytelling practicum. Questions that scrutinize the relationship between written and visual discourses, the possibilities and limits of each, inform both my research and pedagogical practices. Terms such as ‘historiophoty’ (White, 1988) and ‘visionary history’(Rosenstone, 1988) were coined to describe the possibility of the study of history through film and images. The tensions embedded in these pioneering studies continue to animate current research and pedagogical discourses while raising pertinent questions. How can images help us learn about the past? Is it necessary for films to be historically accurate? I consider these questions and expand on anthropologist’s John Jackson Jr’s formulation of “what scholarship entails in our media age." I discuss my visual literacy pedagogical trajectory that culminated with a methodology I developed that merges elements of the academic and documentary film worlds, demonstrating the possibilities for interdisciplinary collaboration. This curriculum aims to visualize scholarly research and produce a digital media project that consists of technical and applied learning of the five stages of media production adapted for the university classroom.

Normative Visual Patterns for Hazard Recognition: A Crisp-Set Qualitative Comparative Analysis Approach

Understanding the mental representations used for hazard recognition would help the development of inspection strategies for effective safety management. This study is part of ongoing research to identify hazard recognition patterns based on users’ mental representations. Hence, this study explored normative visual patterns for improving hazard recognition performance using a crisp-set qualitative comparative analysis (cs-QCA). Eye-tracking data and visual trajectories were collected using an eye-tracking device in a structural laboratory. A cs-QCA approach was adopted to analyze and summarize normative visual patterns that were used to successfully detect hazards by all participants, namely, potential electrical contact, a large machine with no guardrails, and steel bars dump. The results show that object identification should suffice as the basis for identifying electricity-related hazards, while struck-by hazards should focus on the objects and their pivot points or potential movement trajectories. The experimental design and analytical approach provide new insights into visual analytics in hazard recognition. The research extends and supplements recognition by component theory in the context of construction hazard recognition. The results also provide new and practical references for hazard inspection training, as well as for future development of automated hazard recognition systems.

Trail Making Test revisited: Patterns of visual and manual trajectories as markers of executive processes

Trail Making Test revisited: Patterns of visual and manual trajectories as markers of executive processes

Notes on Penthesilea: The marks of a past of female heroism

The goal of this paper is to construct an image map that will allow us to understand archetypes characteristics that accompany heroic representations of women in cinema. We will begin with the myth of Penthesilea, an Amazon queen whose tragic loss of feminine power will then guide us in the search for new archetypal deflections. We believe the archetype of Penthesilea signifies new leak points in representation of power as connected to the feminine. To prove that will be one of the main goals of this paper. We insist on highlighting that the images associated with the description of this character are allied to a structure linked with a kind of force and power commonly related to the male. Penthesilea bears the mark of an essentially solar/diurnal heroism, in which love will configure as an additional item that makes the characters confront each other violently. The result of this analysis will be a visual trajectory from a moment in the past that connects to contemporary representations of feminine heroism.

Visual trajectory pattern as prognostic factors for neck pain.

A novel approach capturing both temporal variation and pain intensity of neck pain is by visual trajectory patterns. Recently, both previous and expected visual trajectory patterns were identified as stronger predictors of outcome than traditional measures of pain history and psychological distress. Our aim was to examine patient characteristics within the various previous and expected patterns, relationship between the two patterns and predictive value of a variable combining the previous and expected patterns. Patients with neck pain (n=932) consulting chiropractors were included. Baseline measures included pain intensity, disability, psychological variables and symptom history and expectations. Participants reported global perceived effect after 12 weeks. Analyses included descriptive statistics and logistic regression. Pain intensity, disability, psychological and worse outcome expectations increased from a single pain episode to severe ongoing pain of previous and expected patterns. Having a severe pain history was associated with poor prognosis, particularly if combined with negative expectations. The variable combining previous and expected patterns had a discriminative ability similar to that of other predictors AUC=0.64 (95% CI=0.60-0-67) versus AUC=0.66 (95% CI=0.62-0.70). The model with highest discriminative ability was achieved when adding the combined patterns to other predictors AUC=0.70 (95% CI=0.66-0.73). The study indicates that pain expectations are formed by pain history. The patients' expectations were similar to or more optimistic compared with their pain history. The prognostic ability of the model including a simplified combination of previous and expected patterns, together with a few other predictors, suggests that the trajectory patterns might have potential for clinical use. The dynamic nature of neck pain can be captured by visual illustrations of trajectory patterns. We report, that trajectory patterns of pain history and future expectations to some extent are related. The patterns also reflect a difference in severity assessed by higher degree of symptoms and distress. Moreover, the visual trajectory patterns predict outcome at 12-weeks. Since the patterns are easily applicable, they might have potential as a clinical tool.

Eccentric Feelings: Little Girls’ Pleasures on the Feminist Fashion Set

ABSTRACT In the face of commercial fashion photography's contribution to the shaping of the gendered public fantasy of the child, this article quarries, through a perspective shaped by queer affect theory, the kinds of figurations that in independent fashion magazines have stimulated alternative ways of thinking and feeling in relation to children. The case study, or scene, through which this analysis is conducted is ‘Juweeltje,’ a fashion editorial spread shot by feminist photographer Cornelie Tollens for Dutch magazine in 1995. In the midst of a controversial period dominated by collective media anxiety and moral panic around child pornography, and underpinned by conservative sentimentalising efforts to safeguard the Child, Dutch, an independent fashion magazine published between 1994 and 2002, grappled with such discourses by forging a visual trajectory for rethinking childhood through a queer affective prism. This article ultimately seeks to animate discussions around queer childhood and expand the current affective taxonomies associated with the child by unearthing the rich affective scenarios enacted by feminist fashion photography.