Spatial crime analysis, together with perceived (crime) safety analysis have tremendously benefitted from Geographic Information Science (GISc) and the application of geospatial technology. This research study discusses a novel methodological approach to document the use of emerging geospatial technologies to explore perceived urban safety from the lenses of fear of crime or crime perception in the city of Baton Rouge, USA. The mixed techniques include a survey, spatial video geonarrative (SVG) in the field with study participants, and the extraction of moments of stress (MOS) from biosensing wristbands. This study enrolled 46 participants who completed geonarratives and MOS detection. A subset of 10 of these geonarratives are presented here. Each participant was driven in a car equipped with audio recording and spatial video along a predefined route while wearing the Empatica E4 wristbands to measure three physiological variables, all of them linked by timestamp. The results show differences in the participants' sentiments (positive or negative) and MOS in the field based on gender. These mixed-methods are encouraging for finding relationships between actual crime occurrences and the community perceived fear of crime in urban areas.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908196 | PMC |
http://dx.doi.org/10.3390/ijerph18031284 | DOI Listing |
J Imaging Inform Med
January 2025
Gastroenterology Department of Gandhi Medical College, Bhopal, 462003, India.
Gastrointestinal tract-related cancers pose a significant health burden, with high mortality rates. In order to detect the anomalies of the gastrointestinal tract that may progress to cancer, a video capsule endoscopy procedure is employed. The number of video capsule endoscopic ( ) images produced per examination is enormous, which necessitates hours of analysis by clinicians.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical and Computer Engineering, Hawassa University, Hawassa 05, Ethiopia.
Understanding human behavior and human action recognition are both essential components of effective surveillance video analysis for the purpose of guaranteeing public safety. However, existing approaches such as three-dimensional convolutional neural networks (3D CNN) and two-stream neural networks (2SNN) have computational hurdles due to the significant parameterization they require. In this paper, we offer HARNet, a specialized lightweight residual 3D CNN that is built on directed acyclic graphs and was created expressly to handle these issues and achieve effective human action detection.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Institute of Neuroscience - UCLouvain, Brussels, Belgium.
Background: The medial temporal lobe (MTL) is the first cortical region affected by tauopathy in Alzheimer's disease (AD) and is implicated in spatial orientation. In early AD stages, navigation deficits, including path integration deficits, could be present, even before memory deficits. We investigated whether these deficits were related to AD pathology (amyloidosis and/or tauopathy) using a path integration task, the "Apple Game".
View Article and Find Full Text PDFCureus
December 2024
Department of Physical Therapy, Faculty of Nursing and Rehabilitation, Chubu Gakuin University, Seki, JPN.
Background Declines in foot somatosensory function can negatively impact balance and daily activities, particularly in older adults and individuals with neurological conditions. Despite this, effective physical therapeutic interventions to improve foot sensory function are limited. This study assessed the effects of targeted foot somatosensory training on plantar sensory function in healthy young adults.
View Article and Find Full Text PDFNeural Netw
December 2024
Department of Artificial Intelligence, Korea University, South Korea. Electronic address:
Moiré patterns, created by the interference between overlapping grid patterns in the pixel space, degrade the visual quality of images and videos. Therefore, removing such patterns (demoiréing) is crucial, yet remains a challenge due to their complexities in sizes and distortions. Conventional methods mainly tackle this task by only exploiting the spatial domain of the input images, limiting their capabilities in removing large-scale moiré patterns.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!