Article
Multidisciplinary Sciences
Fintan Nagle, Alan Johnston
Summary: Encoding and recognizing complex natural sequences pose a challenge for human vision. Observers were able to recognize a previously presented video segment embedded in a longer sequence, but performance varied with different manipulations. Observers were sensitive to the asymmetric motion pattern of flames, and prediction could serve as a means of evaluating performance in a sequential analysis model.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Gautier Grouvel, Lena Carcreff, Florent Moissenet, Stephane Armand
Summary: Human motion capture and analysis can be simplified through the use of wearable devices such as inertial sensors and pressure insoles. This dataset has been established on 10 asymptomatic adults to enable comparisons between different motion capture systems and stimulate the development of new methods for gait analysis. It includes three-dimensional trajectories of reflective markers, signals from inertial sensors and pressure insoles, ground reaction forces, and moments obtained from force plates.
Article
Neurosciences
Shou-Han Zhou, Gerard Loughnane, Redmond O'Connell, Mark A. Bellgrove, Trevor T. J. Chong
Summary: This study found that task-irrelevant distractors selectively increased the amplitude of early target selection responses and decreased the buildup rate of evidence accumulation, leading to a slowing of response times. It highlights the impact of early processing of competing stimuli on perceptual decision-making.
JOURNAL OF COGNITIVE NEUROSCIENCE
(2021)
Article
Computer Science, Information Systems
Li Wang, Bo Su, Qunpo Liu, Ruxin Gao, Jianjun Zhang, Guodong Wang
Summary: This paper addresses key challenges in human action recognition and assessment by proposing innovative methods, including using Oct-MobileNet to improve accuracy and combining skeleton-based information and multiple feature fusion for action recognition. It also introduces a multimodal information-based assessment method to help exercisers evaluate their exercise performance.
Article
Computer Science, Artificial Intelligence
Onur Can Kurban, Nurullah Calik, Tulay Yildirim
Summary: This paper proposes a new temporal template approach for action recognition and person identification, which utilizes motion sequence information from masked depth video streams. The method creates a membership function to model motion changes and generates energy images to highlight intervals of motion with more change.
PATTERN RECOGNITION
(2022)
Article
Multidisciplinary Sciences
Jessica D. Creery, David J. Brang, Jason D. Arndt, Adrianna Bassard, Vernon L. Towle, James X. Tao, Shasha Wu, Sandra Rose, Peter C. Warnke, Naoum P. Issa, Ken A. Paller
Summary: This study investigates the impact of sleep on memory by measuring electrical activity in the hippocampus, and finds that the presentation of sounds during sleep enhances corresponding spatial memories, which is associated with increased specific brainwave activity.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Chemistry, Analytical
Anuparp Boonsongsrikul, Jirapon Eamsaard
Summary: In this paper, a human motion tracking method using a Tello EDU drone is designed and implemented. Experimental results show that the drone can successfully track a human moving at a speed of 2 m/s within a distance of 2-10 m. In a field of size 95x35m(2), the drone can track human motion throughout a whole day, with the best tracking results observed in the morning. The accuracy rate for human movement detection ranges from 96.67% to 100%.
Article
Chemistry, Analytical
Lin-Tao Duan, Michael Lawo, Zhi-Guo Wang, Hai-Ying Wang
Summary: This paper presents a human lower limb motion capture and recognition approach based on a smartphone, which records different limb activities using the built-in motion sensors and extracts feature vectors using Fast Fourier Transform. The experimental results show that this method can recognize human lower limb activities with high accuracy.
Review
Neurosciences
J. W. Y. Kam, T. Rahnuma, Y. E. Park, C. M. Hart
Summary: Examining mind wandering through EEG studies revealed a reduction in amplitude of canonical ERP components as the most reliable marker, with spectral findings indicating increased low frequency activity and decreased high frequency activity during mind wandering, modulated by task context.
Article
Multidisciplinary Sciences
Qing Zhong, Yanyu Zhao, Fangfei Ye, Zaiyu Xiao, Gaoxingyu Huang, Meng Xu, Yuanyuan Zhang, Xiechao Zhan, Ke Sun, Zhizhi Wang, Shanshan Cheng, Shan Feng, Xiuxiu Zhao, Jizhong Zhang, Peilong Lu, Wenqing Xu, Qiang Zhou, Dan Ma
Summary: The study presents the cryo-EM structure of human WLS in complex with Wnt3a at 2.2 angstrom resolution, offering insights into the palmitoleoylation mechanism required for WLS-mediated Wnt secretion.
NATURE COMMUNICATIONS
(2021)
Article
Clinical Neurology
Jimmy C. Yang, Angelique C. Paulk, Pariya Salami, Sang Heon Lee, Mehran Ganji, Daniel J. Soper, Daniel Cleary, Mirela Simon, Douglas Maus, Jong Woo Lee, Brian Nahed, Pamela S. Jones, Daniel P. Cahill, Garth Rees Cosgrove, Catherine J. Chu, Ziv Williams, Eric Halgren, Shadi Dayeh, Sydney S. Cash
Summary: This study investigated the microscale spatial dynamics of neurophysiologic biomarkers of epilepsy using custom microelectrodes, revealing the spread and pathways of IIDs and the repeated patterns of HFOs. Microseizure events spanning 50-100 mm were identified, and the relationship between HFOs and MUA was established, but not with IIDs. These findings suggest the importance of microscale approaches in developing novel seizure control therapies.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Computer Science, Information Systems
Qing Liu
Summary: This article studies the design and implementation of a human motion capture system based on Zigbee wireless transmission, obtaining human motion information through sensor network technology. The article introduces the characteristics, overall structure, and implementation methods of the system, as well as the optimized data fusion algorithm and networking principles of the Zigbee network.
COMPUTER COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Zhao Hui, Bi Wen Jun, Zhao Yun Na
Summary: This paper proposes an automatic recognition method based on pose data sequence for the physical fitness human fall, which extracts fall motion features and tracks displacement feature points to achieve accurate recognition of the fall movement.
JOURNAL OF SENSORS
(2022)
Article
Chemistry, Analytical
Thang Hoang, Yaojung Shiao
Summary: Observation of human joint motion is important in various fields for obtaining information about musculoskeletal parameters. This study proposes a novel and low-cost method for monitoring human joint motion using a mathematical model and an Inertial Measurement Unit (IMU) device. The collected data based on signal features can reveal the conditions of multiple physical and mental health issues. The proposed method is verified and found to properly estimate joint motions with reduced-number IMUs using image-processing technology.
Article
Behavioral Sciences
Masahiro Hirai, Yoko Hakuno
Summary: Understanding the actions of others is an important skill for navigating our social world, and our visual system is sensitive to biological motion, encoding socially relevant information from a few point-lights. A study found that 6-month-old infants can process the global structure-from-motion information of a coherent human point-light walker, contributing to the developmental theory of biological motion processing.
Article
Obstetrics & Gynecology
Britney Benoit, Aaron Newman, Ruth Martin-Misener, Margot Latimer, Marsha Campbell-Yeo
Summary: The study aimed to compare the effects of breastfeeding and oral sucrose on pain-related electrophysiologic activity and behavioral responses in infants during heel lance procedures. The results showed that both interventions reduced pain responses, but breastfeeding infants had smaller pain-related potential amplitudes and faster physiological recovery compared to those who received oral sucrose. Further research is needed to understand the specific neurophysiological effects of these interventions on infant pain response.
EARLY HUMAN DEVELOPMENT
(2021)
Editorial Material
Obstetrics & Gynecology
Britney Benoit, Aaron Newman, Marsha Campbell-Yeo
EARLY HUMAN DEVELOPMENT
(2021)
Article
Neurosciences
Colin Conrad, Aaron Newman
Summary: The study found that mind wandering during online learning shifts learners' attention from external world to internal thoughts, leading to reduced learning outcomes.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Review
Psychiatry
Dalainey H. Drakes, Emily J. Fawcett, Julia P. Rose, Jacqueline C. Carter-Major, Jonathan M. Fawcett
Summary: This study aimed to estimate the prevalence of obsessive-compulsive disorder (OCD) among individuals with a primary eating disorder (ED) diagnosis, finding the highest rates in anorexia nervosa binge-eating purging type patients. OCD was more prevalent in patient samples than those from the community.
JOURNAL OF PSYCHIATRIC RESEARCH
(2021)
Article
Psychology, Multidisciplinary
Susan Sayehli, Marianne Gullberg, Aaron J. Newman, Annika Andersson
Summary: This study examines the processing of variation in basic word order in native Swedish speakers. The results show that the naturally occurring word order "violation" is processed differently depending on the specific adverbial used, and that these patterns are related to individuals' own production patterns.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Medicine, Research & Experimental
Marsha Campbell-Yeo, Britney Benoit, Aaron Newman, Celeste Johnston, Tim Bardouille, Bonnie Stevens, Arlene Jiang
Summary: This study aims to compare the effects of maternal-infant skin-to-skin contact and 24% sucrose on pain-induced brain activity in preterm infants during a clinical noxious stimulus. The findings of this study will have important implications for pain assessment and management in preterm infants.
Article
Psychology, Mathematical
Jonathan M. Fawcett, Glen E. Bodner, Borys Paulewicz, Julia Rose, Rachelle Wakeham-Lewis
Summary: The production effect, which refers to better memory for words read aloud compared to silently, is believed to be influenced by memory for the act of production. However, this study suggests that the production effect may also be influenced by semantic encoding.
PSYCHONOMIC BULLETIN & REVIEW
(2022)
Article
Psychology, Clinical
Sheila N. Garland, Joshua Tulk, Nicole Rodriguez, Joshua A. Rash, Jonathan M. Fawcett, Joy McCarthy, Melanie Seal, Kara Laing
Summary: This study assessed perceived deficits in executive functioning among women with breast cancer and found that fatigue, sleep quality, and insomnia symptoms were significantly associated with perceived deficits in executive functioning. The results highlight the importance of providing targeted fatigue management and sleep interventions to improve executive functioning in these women.
INTERNATIONAL JOURNAL OF BEHAVIORAL MEDICINE
(2023)
Article
Psychology, Experimental
Jonathan M. Fawcett, Maddison M. Baldwin, Jedidiah W. Whitridge, Michelle Swab, Kyla Malayang, Brooke Hiscock, Dalainey H. Drakes, Hannah V. Willoughby
Summary: The production effect suggests that words read aloud are better remembered than those read silently. This phenomenon is explained by the incorporation of sensorimotor elements into the item representation, which can then improve later performance. The distinction between aloud and silent items is not limited to within-subjects, as a reliable between-subject production effect has been shown in recognition memory.
CANADIAN JOURNAL OF EXPERIMENTAL PSYCHOLOGY-REVUE CANADIENNE DE PSYCHOLOGIE EXPERIMENTALE
(2023)
Article
Behavioral Sciences
Zoe Lazar-Kurz, Jasmine Aziz, Katelyn J. McKearney, Cindy Hamon-Hill, Arthur MacDonald, Aaron Newman, Gail Eskes
Summary: Aging is associated with declines in cognitive function, including learning and memory. The present study used prism adaptation (PA) to investigate visuo-motor learning and error processing in older adults. EEG results indicated that older adults had similar initial error processing as young adults, but displayed reduced attentional orienting and enhanced context updating during the prism exposure phase. These findings provide insights into age-related learning differences and suggest potential clinical applications.
Article
Psychology, Experimental
Noah W. Pevie, Maddison M. Baldwin, Emily J. Fawcett, Chelsea A. Lahey, Jonathan M. Fawcett
Summary: The study found a significant difference in memory control between clinical and control populations, with clinical populations showing reduced directed forgetting effect. This suggests that memory control deficits may be related to mental illness.
CANADIAN JOURNAL OF EXPERIMENTAL PSYCHOLOGY-REVUE CANADIENNE DE PSYCHOLOGIE EXPERIMENTALE
(2023)
Proceedings Paper
Computer Science, Information Systems
Anika Nissen, Colin Conrad, Aaron Newman
Summary: Virtual influencers (VI) are becoming increasingly popular on Instagram, with many companies collaborating with them for marketing campaigns. However, studies have found that VI are perceived as less trustworthy and more uncanny. Through a questionnaire survey and EEG study, we discovered that the EEG components N400 and LPP are associated with the perceived humanness, uncanniness, and intentions to follow recommendations of influencers.
PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2023
(2023)
Proceedings Paper
Psychology, Biological
Colin Conrad, Aaron J. Newman
Summary: This paper presents the results of machine learning analysis on a method for the passive detection of mind wandering. The findings support the potential of applying this technique to develop a neuroadaptive online learning and virtual meeting tool that enhances users' information retention through auditory feedback.
INFORMATION SYSTEMS AND NEUROSCIENCE, NEUROIS RETREAT 2022
(2022)
Article
Neurosciences
Lyam M. Bailey, Glen E. Bodner, Heath E. Matheson, Brandie M. Stewart, Kyle Roddick, Kiera O'Neil, Maria Simmons, Angela M. Lambert, Olave E. Krigolson, Aaron J. Newman, Jonathan M. Fawcett
Summary: Recognition memory is improved for items produced at study, especially by reading them aloud. The act of producing items through activities like reading aloud enhances item distinctiveness, which leads to better recollection and familiarity judgments. fMRI scans revealed stronger neural activation in motor and sensory regions for aloud items, suggesting a link between these enhancements and improved recollective success.
BRAIN AND COGNITION
(2021)
Article
Psychology, Mathematical
Kelsi J. Hall, Emily J. Fawcett, Kathleen L. Hourihan, Jonathan M. Fawcett
Summary: The current meta-analysis indicates that emotional memories are often more resilient to intentional forgetting compared to neutral memories, especially when the emotional items are more arousing and buffer items are included. However, the specific nature of these differences depends on the methodological features of the study. Further research is needed to characterize the circumstances under which emotional and neutral memories differ in terms of susceptibility to intentional forgetting.
PSYCHONOMIC BULLETIN & REVIEW
(2021)
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.