VentureBeat: New research suggests that privacy in the metaverse might be impossible

VentureBeat: New research suggests that privacy in the metaverse might be impossible. “The research analyzed more than 2.5 million VR data recordings (fully anonymized) from more than 50,000 players of the popular Beat Saber app and found that individual users could be uniquely identified with more than 94% accuracy using only 100 seconds of motion data. Even more surprising was that half of all users could be uniquely identified with only 2 seconds of motion data.”

The Gutenberg Gait Database: World’s largest collection of gait analysis data of healthy individuals published (EurekAlert)

EurekAlert: The Gutenberg Gait Database: World’s largest collection of gait analysis data of healthy individuals published. “The database has been compiled by Dr. Fabian Horst of the Institute of Sports Science at Mainz University and Djordje Slijepčević of St. Pölten University of Applied Sciences in Austria and comprises data from 350 healthy volunteers who attended the biomechanics lab at JGU [Johannes Gutenberg University Mainz] over the past seven years. The database contains ground reaction force (GRF) and center of pressure (COP) data measured for two consecutive steps, which were recorded by force plates embedded in the ground over the entire duration of ground contact of the feet.”

Ekathimerini: Felios Collection added to Google Arts & Culture platform

Ekathimerini: Felios Collection added to Google Arts & Culture platform. “Founded in the 1980s, The Sotiris Felios Collection, based in Athens, is a unique collection of contemporary art focused on the human figure. The Collection belongs to ‘The other Arcadia’ Foundation and offers a rich overview of the most important contemporary artists living and working in Greece, as well as leading artists whose creations forge a link between the past century and the present day.” 195 items have been put online, with more on the way.

Arizona State University: New ASU research examines how varying COVID-19 ‘shelter in place’ policies influenced travel

Arizona State University: New ASU research examines how varying COVID-19 ‘shelter in place’ policies influenced travel. “Three Arizona State University researchers in the School of Geographical Sciences and Urban Planning sought to find out how people moved through their lives differently due to the pandemic. The new research, led by Sarbeswar Praharaj, assistant research professor with the Knowledge Exchange for Resilience and the School of Geographical Sciences and Urban Planning, uses a visual and data-driven lens to see how COVID-19 government policies have impacted public mobility.”

Phys .org: The impact of human mobility on disease spread

Phys .org: The impact of human mobility on disease spread. “In a paper publishing on Tuesday in the SIAM Journal of Applied Mathematics, Daozhou Gao of Shanghai Normal University investigated the way in which human dispersal affects disease control and total extent of an infection’s spread. Few previous studies have explored the impact of human movement on infection size or disease prevalence—defined as the proportion of individuals in a population that are infected with a specific pathogen—in different regions. This area of research is especially pertinent during severe disease outbreaks, when governing leaders may dramatically reduce human mobility by closing borders and restricting travel. During these times, it is essential to understand how limiting people’s movements affects the spread of disease.”

COVID-19 impact: Geographer tracks movement with Twitter data (University of South Carolina)

University of South Carolina: COVID-19 impact: Geographer tracks movement with Twitter data. “During historic flooding five years ago across the Palmetto State, faculty members at the University of South Carolina demonstrated how real-time social media data could aid in tracking the extent of a natural disaster. Geography assistant professor Zhenlong Li led that research and has deployed similar methods during the current COVID-19 pandemic, gathering Twitter data to visually map human travel across the country and around the world.”

EurekAlert: Neuroscientists to build video dataset that catches people looking (at everything)

EurekAlert: Neuroscientists to build video dataset that catches people looking (at everything). “To better understand the organization of the brain and the perceptual tendencies in humans, a team of four scientists are recording video from four head-mounted cameras – with eyetracking and head movement – and assembling a massive video database with more than 240 hours of first-person video that can be used by researchers everywhere.”