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Статті в журналах з теми "MULTI-CUE OBJECT"

Автор: Grafiati

Опубліковано: 11 вересня 2023

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1

Hu, Mengjie, Zhen Liu, Jingyu Zhang, and Guangjun Zhang. "Robust object tracking via multi-cue fusion." Signal Processing 139 (October 2017): 86–95. http://dx.doi.org/10.1016/j.sigpro.2017.04.008.

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2

Gu, Lichuan, Chengji Wang, Jinqin Zhong, Jianxiao Liu, and Juan Wang. "Multi-cue Integration Object Tracking Based on Blocking." International Journal of Security and Its Applications 8, no. 3 (2014): 309–24. http://dx.doi.org/10.14257/ijsia.2014.8.3.32.

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3

Wang, Jiangtao, and Jingyu Yang. "Relative discriminant coefficient based multi-cue fusion for robust object tracking." Frontiers of Electrical and Electronic Engineering in China 3, no. 3 (2008): 274–82. http://dx.doi.org/10.1007/s11460-008-0045-z.

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4

Walia, Gurjit Singh, Ashish Kumar, Astitwa Saxena, Kapil Sharma, and Kuldeep Singh. "Robust object tracking with crow search optimized multi-cue particle filter." Pattern Analysis and Applications 23, no. 3 (2019): 1439–55. http://dx.doi.org/10.1007/s10044-019-00847-7.

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5

Yi, Renjiao, Ping Tan, and Stephen Lin. "Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 12685–92. http://dx.doi.org/10.1609/aaai.v34i07.6961.

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We present an unsupervised approach for factorizing object appearance into highlight, shading, and albedo layers, trained by multi-view real images. To do so, we construct a multi-view dataset by collecting numerous customer product photos online, which exhibit large illumination variations that make them suitable for training of reflectance separation and can facilitate object-level decomposition. The main contribution of our approach is a proposed image representation based on local color distributions that allows training to be insensitive to the local misalignments of multi-view images. In

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6

Walia, Gurjit Singh, and Rajiv Kapoor. "Robust object tracking based upon adaptive multi-cue integration for video surveillance." Multimedia Tools and Applications 75, no. 23 (2015): 15821–47. http://dx.doi.org/10.1007/s11042-015-2890-0.

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7

Kumar, Ashish, Gurjit Singh Walia, and Kapil Sharma. "A novel approach for multi-cue feature fusion for robust object tracking." Applied Intelligence 50, no. 10 (2020): 3201–18. http://dx.doi.org/10.1007/s10489-020-01649-9.

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8

Shih, Chihhsiong. "Analyzing and Comparing Shot Planning Strategies and Their Effects on the Performance of an Augment Reality Based Billiard Training System." International Journal of Information Technology & Decision Making 13, no. 03 (2014): 521–65. http://dx.doi.org/10.1142/s0219622014500278.

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The shot planning of a cue after it collides with an object ball determines a player's success in a billiard game. This paper proposes three novel gaming strategies to investigate the effect of cue shots planning on gaming performance. The first algorithm considers the nearest pocket for every selected target object ball, seeking optimal post collision positions. The second algorithm considers all pocket and target object ball combinations during both the pre- and post-collision optimal shot selection processes. The third algorithm considers a multi-objective optimization process for optimal s

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9

Kwon, Young, Jae Jang, Youngbae Hwang, and Ouk Choi. "Multi-Cue-Based Circle Detection and Its Application to Robust Extrinsic Calibration of RGB-D Cameras." Sensors 19, no. 7 (2019): 1539. http://dx.doi.org/10.3390/s19071539.

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RGB-Depth (RGB-D) cameras are widely used in computer vision and robotics applications such as 3D modeling and human–computer interaction. To capture 3D information of an object from different viewpoints simultaneously, we need to use multiple RGB-D cameras. To minimize costs, the cameras are often sparsely distributed without shared scene features. Due to the advantage of being visible from different viewpoints, spherical objects have been used for extrinsic calibration of widely-separated cameras. Assuming that the projected shape of the spherical object is circular, this paper presents a mu

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10

Okada, Kei, Mitsuharu Kojima, and Masayuki Inaba. "Object Recognition with Multi Visual Cue Integration for Shared Knowledge-based Action Recognition System." Journal of the Robotics Society of Japan 26, no. 6 (2008): 537–45. http://dx.doi.org/10.7210/jrsj.26.537.

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11

Lee, Kyungjun, and Jechang Jeong. "Multi-Color Space Network for Salient Object Detection." Sensors 22, no. 9 (2022): 3588. http://dx.doi.org/10.3390/s22093588.

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The salient object detection (SOD) technology predicts which object will attract the attention of an observer surveying a particular scene. Most state-of-the-art SOD methods are top-down mechanisms that apply fully convolutional networks (FCNs) of various structures to RGB images, extract features from them, and train a network. However, owing to the variety of factors that affect visual saliency, securing sufficient features from a single color space is difficult. Therefore, in this paper, we propose a multi-color space network (MCSNet) to detect salient objects using various saliency cues. F

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12

Li, Jing, Yanran Dai, Congcong Li, et al. "Visual Detail Augmented Mapping for Small Aerial Target Detection." Remote Sensing 11, no. 1 (2018): 14. http://dx.doi.org/10.3390/rs11010014.

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Moving target detection plays a primary and pivotal role in avionics visual analysis, which aims to completely and accurately detect moving objects from complex backgrounds. However, due to the relatively small sizes of targets in aerial video, many deep networks that achieve success in normal size object detection are usually accompanied by a high rate of false alarms and missed detections. To address this problem, we propose a novel visual detail augmented mapping approach for small aerial target detection. Concretely, we first present a multi-cue foreground segmentation algorithm including

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13

Cheadle, Samuel W., Andrew Parton, Hermann J. Müller, and Marius Usher. "Subliminal Gamma Flicker Draws Attention Even in the Absence of Transition-Flash Cues." Journal of Neurophysiology 105, no. 2 (2011): 827–33. http://dx.doi.org/10.1152/jn.00357.2010.

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We recently reported evidence indicating that selective attention is deployed to a target location in a multi-object display, when the target event (a change of one of the objects) is preceded by subliminal flicker in the gamma range. However, concerns have been raised regarding the stimuli used in this study and the possible contribution of an artifactual cue: a “transition flash” between pretarget flicker offset and target onset. Here, we report a series of experiments investigating the existence and potential contribution to selective attention of this transition-flash cue under different p

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14

Zhang, Ximing, Shujuan Luo, and Xuewu Fan. "Proposal-Based Visual Tracking Using Spatial Cascaded Transformed Region Proposal Network." Sensors 20, no. 17 (2020): 4810. http://dx.doi.org/10.3390/s20174810.

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Region proposal network (RPN) based trackers employ the classification and regression block to generate the proposals, the proposal that contains the highest similarity score is formulated to be the groundtruth candidate of next frame. However, region proposal network based trackers cannot make the best of the features from different convolutional layers, and the original loss function cannot alleviate the data imbalance issue of the training procedure. We propose the Spatial Cascaded Transformed RPN to combine the RPN and STN (spatial transformer network) together, in order to successfully ob

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15

Luo, Huiyuan, Guangliang Han, Peixun Liu, and Yanfeng Wu. "Salient Region Detection Using Diffusion Process with Nonlocal Connections." Applied Sciences 8, no. 12 (2018): 2526. http://dx.doi.org/10.3390/app8122526.

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Diffusion-based salient region detection methods have gained great popularity. In most diffusion-based methods, the saliency values are ranked on 2-layer neighborhood graph by connecting each node to its neighboring nodes and the nodes sharing common boundaries with its neighboring nodes. However, only considering the local relevance between neighbors, the salient region may be heterogeneous and even wrongly suppressed, especially when the features of salient object are diverse. In order to address the issue, we present an effective saliency detection method using diffusing process on the grap

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16

Rodríguez-Bailón, María, Tamara García-Morán, Nuria Montoro-Membila, Estrella Ródenas-García, Marisa Arnedo Montoro, and María Jesús Funes Molina. "Positive and Negative Consequences of Making Coffee among Breakfast Related Irrelevant Objects: Evidence from MCI, Dementia, and Healthy Ageing." Journal of the International Neuropsychological Society 23, no. 6 (2017): 481–92. http://dx.doi.org/10.1017/s135561771700025x.

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AbstractObjectives: Previous studies have reported impairments in activities of daily living (ADL) performance in the presence of irrelevant but physically/functionally related objects in dementia patients. The aim of the present study was to increase our knowledge about the impact of the presence of contextually related non-target objects on ADL execution in patients with multi-domain mild cognitive impairment (MCI) and dementia. Methods: We compared ADL execution in patients with MCI, dementia, and healthy elderly participants under two experimental conditions: One in which the target object

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17

Vicino, Greg A., Jessica J. Sheftel, and Louisa M. Radosevich. "Enrichment Is Simple, That’s the Problem: Using Outcome-Based Husbandry to Shift from Enrichment to Experience." Animals 12, no. 10 (2022): 1293. http://dx.doi.org/10.3390/ani12101293.

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Over the decades, the use of environmental enrichment has evolved from a necessary treatment to a “best practice” in virtually all wildlife care settings. The breadth of this evolution has widened to include more complex inputs, comprehensive evaluation of efficacy, and countless commercially available products designed to provide for a myriad of species-typical needs. Environmental enrichment, however, remains almost inexorably based on the provision of inputs (objects, manipulanda, or other sensory stimuli) intended to enhance an environment or prolong a specific behavior. Considerable effor

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18

Yow, W. Quin, Jiawen Lee, and Xiaoqian Li. "AGE-RELATED DECLINES IN SOCIAL COGNITIVE PROCESSES OF OLDER ADULTS." Innovation in Aging 3, Supplement_1 (2019): S882—S883. http://dx.doi.org/10.1093/geroni/igz038.3232.

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Abstract Despite current literature suggesting that various social cognitive processes seem to be impaired in late adulthood, e.g., processing of social gaze cues, the trajectory decline of social cognition in late adulthood is not well understood (e.g., Grainger et al., 2018; Paal & Bereczkei, 2007). As part of a multi-institutional research project, we began to systematically investigate whether there is age-related decline in older adults’ ability to infer others’ mental states, integrate multiple referential cues, and identify emotional states of others using prosodic cues. Sixteen old

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19

Kioupkiolis, Alexandros. "Counter-hegemonic strategies for democratic alter- politics: critical notes on the experiences of 1990-2019." Soundings 82, no. 82 (2023): 75–90. http://dx.doi.org/10.3898/soun.82.05.2022.

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This article critically engages with the political strategies of the new social and political movements that emerged in Europe in the aftermath of the financial crisis of 2007-8. It takes issue with discussions of contemporary alter-political practice and theory that overlook the crucial point that the creation of new social institutions and relations in the here and now - a central part of this politics - must itself be political: it argues for the need to tackle the whole question of the collective subject and agent of change. This leads into a discussion of the theory of hegemony put forwar

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20

Hu, Xiao Guang, Cheng Qi Cheng, and De Ren Li. "A Ship Detection Model in Optical Satellite Image." Applied Mechanics and Materials 519-520 (February 2014): 680–83. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.680.

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In this paper, we propose a novel ship detection model based on multi-cue visual attention mechanism, which include two steps. Firstly, the model acquires salient candidate regions across entire scene by using a bottom-up visual attention cue. The cue is saliency analysis method based on visual contrast. Then, a analysis method based on the environment around the ship is used to distinguish between ship and harbor.The method dont use the shape, edge or other forms of features of the ship objects. The ship detection results prove our method can effectively concentrate on the objects with greate

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21

Cao, Jie, and Jing Run Zheng. "Multi-Person Tracking Based on Video Information Fusion." Advanced Materials Research 187 (February 2011): 452–57. http://dx.doi.org/10.4028/www.scientific.net/amr.187.452.

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In order to solve the problem that human objects in complex environments would be affected by illumination, deformation, moving, etc, a multi-feature information fusion based video tracking approach was proposed. In a particle filter framework, both the face color information and the head contour cue were fused effectively.This method overcomed the instability brought by using a single measurement source, and improved the tracking accuracy and reliability. Experiments on real video sequences demonstrate that in the same case our approach has more reliable performance than trackers utilizing on

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22

Project, ManyDogs, Julia Espinosa, Jeffrey R. Stevens, et al. "ManyDogs 1: A Multi-Lab Replication Study of Dogs’ Pointing Comprehension." Animal Behavior and Cognition 10, no. 3 (2023): 232–86. http://dx.doi.org/10.26451/abc.10.03.03.2023.

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To promote collaboration across canine science, address replicability issues, and advance open science practices within animal cognition, we have launched the ManyDogs consortium, modeled on similar ManyX projects in other fields. We aimed to create a collaborative network that (a) uses large, diverse samples to investigate and replicate findings, (b) promotes open science practices of pre-registering hypotheses, methods, and analysis plans, (c) investigates the influence of differences across populations and breeds, and (d) examines how different research methods and testing environments infl

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23

Mastroberardino, Serena, Valerio Santangelo, and Emiliano Macaluso. "Multisensory objects and the orienting of spatial attention." Seeing and Perceiving 25 (2012): 90. http://dx.doi.org/10.1163/187847612x647090.

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The presentation of an auditory stimulus semantically-congruent with a visual element of a multi-objects display can enhance processing of that element. Here we used multisensory objects (MO) as non-informative cues in a spatial cueing paradigm, aiming to directly assess the interplay between MO integration and spatial attention. We presented two pictures (e.g., left — dog, right — cat) plus a central sound (e.g., a dog’s bark) that defined the location of the MO (left, in this example). This was followed by a target (a Gabor patch) either at the MO location or in the opposite hemifield. Subje

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24

Yang, Gi-Hun, Lynette A. Jones, and Dong-Soo Kwon. "Use of Simulated Thermal Cues for Material Discrimination and Identification with a Multi-Fingered Display." Presence: Teleoperators and Virtual Environments 17, no. 1 (2008): 29–42. http://dx.doi.org/10.1162/pres.17.1.29.

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Thermal cues provide information about the thermal properties of an object held in the hand. These cues can be simulated in a thermal display and used to assist in identifying the object. Two experiments were conducted using a thermal display that simulated the cues associated with contact with different materials. The thermal contact model was based on a semi-infinite body model that included thermal contact resistance and blood perfusion. Its performance was evaluated in two experiments, the first of which involved discriminating between simulated materials, and in the second, subjects were

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25

Ou, Haochun, Chunmei Qing, Xiangmin Xu, and Jianxiu Jin. "Multi-Level Context Pyramid Network for Visual Sentiment Analysis." Sensors 21, no. 6 (2021): 2136. http://dx.doi.org/10.3390/s21062136.

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Sharing our feelings through content with images and short videos is one main way of expression on social networks. Visual content can affect people’s emotions, which makes the task of analyzing the sentimental information of visual content more and more concerned. Most of the current methods focus on how to improve the local emotional representations to get better performance of sentiment analysis and ignore the problem of how to perceive objects of different scales and different emotional intensity in complex scenes. In this paper, based on the alterable scale and multi-level local regional

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26

Zhao, Hang, Shuang Wang, Xuebin Liu, and Fang Chen. "Exploring Contrastive Representation for Weakly-Supervised Glacial Lake Extraction." Remote Sensing 15, no. 5 (2023): 1456. http://dx.doi.org/10.3390/rs15051456.

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Against the background of the ongoing atmospheric warming, the glacial lakes that are nourished and expanded in High Mountain Asia pose growing risks of glacial lake outburst floods (GLOFs) hazards and increasing threats to the downstream areas. Effectively extracting the area and consistently monitoring the dynamics of these lakes are of great significance in predicting and preventing GLOF events. To automatically extract the lake areas, many deep learning (DL) methods capable of capturing the multi-level features of lakes have been proposed in segmentation and classification tasks. However,

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27

Xu, Yong, Qian Wang, Rachel Edita O. Roxas, Yutao Sun, Xiaoyu Li, and Xizhi Lv. "ONLINE SHOPPING USER PORTRAIT MODEL CONSIDERING PSYCHOLOGICAL AND EMOTIONAL FACTORS." International Journal of Neuropsychopharmacology 25, Supplement_1 (2022): A21. http://dx.doi.org/10.1093/ijnp/pyac032.028.

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Abstract Background With the emergence of Web 3.0 era, more and more enterprises begin to pay attention to the research of “personalization”. Personalized recommendation is not only through the simple classification of users' basic attributes, but also through the collection of various content data generated by users on the network, in-depth analysis of text, statistics of user behavior and other methods to find hidden user interests, so as to provide personalized services more accurately. As a data analysis tool, user portrait model can better obtain the effective information of users and des

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28

Guo, Wen, Yuelong Jin, Bin Shan, Xinmiao Ding, and Minghao Wang. "Multi-cue multi-hypothesis tracking with re-identification for multi-object tracking." Multimedia Systems, January 30, 2022. http://dx.doi.org/10.1007/s00530-022-00895-w.

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29

Kapoor, Rajiv, Nikhil Singh, and Aarchishya Kapoor. "Multi-sensor based object tracking using enhanced particle swarm optimized multi-cue granular fusion." Multimedia Tools and Applications, April 12, 2023. http://dx.doi.org/10.1007/s11042-023-15164-9.

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30

Liu, Yunfei, Yu Li, Shaodi You, and Feng Lu. "Semantic Guided Single Image Reflection Removal." ACM Transactions on Multimedia Computing, Communications, and Applications, February 18, 2022. http://dx.doi.org/10.1145/3510821.

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Reflection is common when we see through a glass window, which not only is a visual disturbance but also influences the performance of computer vision algorithms. Removing the reflection from a single image, however, is highly ill-posed since the color at each pixel needs to be separated into two values belonging to the clear background and the reflection respectively. To solve this, existing methods use additional priors such as reflection layer smoothness, double reflection effect, and color consistency to distinguish the two layers. However, these low-level priors may not be consistently va

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31

Gao, Cong, Sangeet Saha, Xuqi Zhu, Hongyuan Jing, Klaus D. McDonald-Maier, and Xiaojun Zhai. "Application Level Resource Scheduling for Deep Learning Acceleration on MPSoC." Journal of Signal Processing Systems, July 18, 2023. http://dx.doi.org/10.1007/s11265-023-01881-9.

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AbstractDeep Neutral Networks (DNNs) have been widely used in many applications, such as self-driving cars, natural language processing (NLP), image classification, visual object recognition, and so on. Field-programmable gate array (FPGA) based Multiprocessor System on a Chip (MPSoC) is recently considered one of the popular choices for deploying DNN models. However, the limited resource capacity of MPSoC imposes a challenge for such practical implementation. Recent studies revealed the trade-off between the “resources consumed" vs. the “performance achieved". Taking a cue from these findings

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32

Rabah, Ayah, Quentin Le Boterff, Loïc Carment, et al. "A novel tablet-based application for assessment of manual dexterity and its components: a reliability and validity study in healthy subjects." Journal of NeuroEngineering and Rehabilitation 19, no. 1 (2022). http://dx.doi.org/10.1186/s12984-022-01011-9.

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Abstract Background We developed five tablet-based tasks (applications) to measure multiple components of manual dexterity. Aim: to test reliability and validity of tablet-based dexterity measures in healthy participants. Methods Tasks included: (1) Finger recognition to assess mental rotation capacity. The subject taps with the finger indicated on a virtual hand in three orientations (reaction time, correct trials). (2) Rhythm tapping to evaluate timing of finger movements performed with, and subsequently without, an auditory cue (inter-stimulus interval). (3) Multi-finger tapping to assess i

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33

Alice, Jordan, and Katie Ellis. "Subverting the Monster." M/C Journal 24, no. 5 (2021). http://dx.doi.org/10.5204/mcj.2828.

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Introduction The blockbuster DreamWorks film Shrek is a play on the classic fairy tale narrative, where the hero, atop his noble steed, rescues the cursed princess from a dragon-guarded tower. Except the hero is an Ogre, the steed is a talking donkey, the dragon just wants to be loved, and, when they finally break the curse, the princess permanently transforms into an Ogre. From the opening scene, the first movie subverts the viewers’ expectations, offering reflection as well as a critique on “some of the cultural conventions that characterise modernity” (Lacassagne, Nieguth, and Dépelteau).

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Lupton, Deborah, Vaughan Wozniak-O'Connor, Megan Catherine Rose, and Ash Watson. "More-than-Human Wellbeing." M/C Journal 26, no. 4 (2023). http://dx.doi.org/10.5204/mcj.2976.

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Introduction The concept of ‘wellbeing’ is typically thought of in human-centric ways, referring to the affective feelings and bodily sensations that people may have which inform their sense of health, safety, and connection. However, as our everyday lives, identities, relationships, and embodiments become digitised and datafied, ‘wellbeing’ has taken on new practices and meanings. The use of digital technologies such as mobile and wearable devices, social media platforms, and networks of information mediate our interactions with others, as well as the ways we conceptualise what it means to be

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35

Maguire, Emma. "Home, About, Shop, Contact: Constructing an Authorial Persona via the Author Website." M/C Journal 17, no. 3 (2014). http://dx.doi.org/10.5204/mcj.821.

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Introduction Let me start by telling you about my “first-world problem”: I study girls’ autobiographical practice in digital spaces but the conceptual tools in my field have been developed chiefly in order to read and analyse printed books. Girls’ digital engagements with self-representation—such as web comics and blogs—are fascinating texts and I want to know what they can tell us about how girls’ written selves connect in complex ways to broader cultural constructions of girlhood. The Greek roots of the word autobiography autos, bios, and graphe (self, life, writing) inform the kinds of appr

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36

Toutant, Ligia. "Can Stage Directors Make Opera and Popular Culture ‘Equal’?" M/C Journal 11, no. 2 (2008). http://dx.doi.org/10.5204/mcj.34.

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Cultural sociologists (Bourdieu; DiMaggio, “Cultural Capital”, “Classification”; Gans; Lamont & Foumier; Halle; Erickson) wrote about high culture and popular culture in an attempt to explain the growing social and economic inequalities, to find consensus on culture hierarchies, and to analyze cultural complexities. Halle states that this categorisation of culture into “high culture” and “popular culture” underlined most of the debate on culture in the last fifty years. Gans contends that both high culture and popular culture are stereotypes, public forms of culture or taste cultures, each

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37

Campanioni, Chris. "How Bizarre: The Glitch of the Nineties as a Fantasy of New Authorship." M/C Journal 21, no. 5 (2018). http://dx.doi.org/10.5204/mcj.1463.

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As the ball dropped on 1999, is it any wonder that No Doubt played, “It’s the End of the World as We Know It” by R.E.M. live on MTV? Any discussion of the Nineties—and its pinnacle moment, Y2K—requires a discussion of both the cover and the glitch, two performative and technological enactments that fomented the collapse between author-reader and user-machine that has, twenty years later, become normalised in today’s Post Internet culture. By staging failure and inviting the audience to participate, the glitch and the cover call into question the original and the origin story. This breakdown of

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Kennedy, Ümit, and Emma Maguire. "The Texts and Subjects of Automediality." M/C Journal 21, no. 2 (2018). http://dx.doi.org/10.5204/mcj.1395.

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Being is an empty fiction. The “apparent” world is the only world: the “true world” is just a lie added on to it… —Nietzsche. Anna Poletti: I’m attracted to autobiography in a non-narrative context because I’m very interested in texts that people create that demonstrate their thinking or their fantasies or their processing, generally.Lauren Berlant: Right, in that sense it’s autobiography in your larger sense of what autobiography is: a record of […] processing. —Anna Poletti and Julie Rak with Lauren Berlant. The medium is the message. —Marshall McLuhanWelcome to the M/C Journal issue on auto

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