Due to the difference of body shapes and motion patterns, each person can have specific influence patterns on surrounding WIFI signals while she moves indoors, generating a unique pattern on the CSI time series of the WIFI device," the team writes in its report. "FreeSense…is nonintrusive and privacy-preserving compared with existing methods [of human identification].
Twitter archives are a rich source of data for doing research into numerous things: Learning about social media and interaction networks, gaining insights into movement patterns based on geolocations and even doing sentiment analysis based on the tweets. And the best part of it: Unless you have a protected Twitter account this data is already public. So why not share it? The TwArχiv takes in your Twitter archive and generates interesting visualizations from your own tweets, including tweet volume over time and your interaction/movement patterns.
"Neuroscientists have found that they can identify individuals based on a coarse map of which brain regions "pair up" in scans of brain activity.
The map is stable enough that the researchers could pick one person's pattern from a set of 126, by matching it to a scan taken on another day.
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"If you keep your fitness-related New Year's resolutions in 2015, it'll likely be thanks to the new wave of devices and apps that have taken monitoring things like newborn sleep patterns and blood oxygenation from geek hobby to mass-market juggernaut. But what happens when companies have access to the most mundane details about our bodies? "