6 private links
Facebook is now so good at watching what we do online—and even offline, wandering around the physical world—it doesn’t need to hear us to know what we like. Here are some ways to limit the amount of data Facebook and advertisers are collecting about you.
Everyone knew the MoviePass deal is too good to be true — and as is so often the case these days, it turns out you're not the customer, you're the product...
I asked my wife if it is alright if her Date of Birth is known to a stranger. Only if they send me a birthday gift, she joked. What about…
As smarter vehicles become troves of personal information, get ready for coupon offers at the next stoplight.
RF-Capture has many applications, like:
It can know who the person behind a wall is.
It can trace a person's handwriting in air from behind a wall.
It can determine how a person behind a wall is moving .
researchers of the NETMIT group at MIT’s Computer Science and Artificial Intelligence Lab, are using WiFi signals to detect the breathing and heart rate of individuals in a room. They’ve just released a couple videos showing off the technology in action
Social network instructed to delete illegally collected data or face €100m in fines after it loses case over consent and tracking
The URLs [1] [2] describe the content. I thought [1] was interesting but not answering your question. [2] Answers your question, and shows black and white and thermal pictures.
[1] https://www.medgadget.com/2014/06/mits-wifi-system-detects-p... (June 2014)
[2] https://hackaday.io/project/5452-wifi-thermal-camera (2015)
[EDIT] I stand corrected, [2] is unrelated. My bad! Here's some good sources as alternative.
"MIT turns Wi-Fi Into Indoor GPS New tech from CSAIL lab lets one Wi-Fi device locate another to within centimeters" [3]
"RF-Capture: Capturing the Human Figure Through a Wall
It can know who the person behind a wall is. It can trace a person's handwriting in air from behind a wall. It can determine how a person behind a wall is moving." [4]
They also contain further resources.
[3] https://spectrum.ieee.org/tech-talk/telecom/wireless/mit-tur...
Our Solutions
Technology Overview
Our contextual technology is based on one key principle: simplicity. We rely on existing wireless signals to recognize people (and animals too), gather data about what they are doing and where they are located. Based on this data, we can automate workflows and provide contextual information that can be
I recently listened to a podcast with the founders of a startup by the name of Aerial (https://aerial.ai) that that is doing real-time location mapping and activity detection using wifi and deep learning.
NOTE: I'm in no way related to this company or the podcast (aside from being an occasional listener).
Episode page: https://twimlai.com/talk/107
Direct episode link: https://feeds.soundcloud.com/stream/393602724-twiml-twiml-ta...
Episode description:
In this episode I’m joined by Michel Allegue and Negar Ghourchian of Aerial.ai. Aerial is doing some really interesting things in the home automation space, by using wifi signal statistics to identify and understand what’s happening in our homes and office environments.
Michel, the CTO, describes some of the capabilities of their platform, including its ability to detect not only people and pets within the home, but surprising characteristics like breathing rates and patterns. He also gives us a look into the data collection process, including the types of data needed, how they obtain it, and how it is parsed. Negar, a senior data scientist with Aerial, describes the types of models used, including semi-supervised, unsupervised and signal processing based models, and how they’ve scaled their platform, and provides us with some real-world use cases.
A while back I decided to no longer use the router given to me by my ISP. You may want to consider doing the same.
Private search engines have seen huge growth over the past few years. Until recently, it was unthinkable that anyone could compete with…
The company is actually collecting and analyzing the data of Onavo users. Doing so allows Facebook to monitor the online habits of people outside their use of the Facebook app itself. For instance, this gave the company insight into Snapchat’s dwindling user base, even before the company announced a period of diminished growth last year.
Facebook is now pointing some users to a secure wireless networking app without disclosing it's a Facebook-owned company.
The app, Onavo Protect, also tracks users' apps, how often they're used and what websites users visit.
Privacy Risks with Facebook’s PII-based Targeting: Auditing a Data Broker’s Advertising Interface
Today is apparently #DataPrivacyDay, so here goes: There is no such thing as “data privacy”, there is privacy. Data doesn’t have rights, people have a human right to privacy. Your data belongs to you & is a part of you. Data about people is people.
Same goes for “digital rights”. There are no digital rights, only human rights in the digital age. Speaking of “digital rights” and “data privacy” implies that those are separate to our human rights and to our privacy, paving the way for a different set of (lesser) protections.
To separate a person from their data is to strip the latter of its human rights, making it into an object to be commodified. Any rights thereupon conferred on the object will thus be lesser than those protecting the subject.
By treating people and their data as separate constructs – one a subject, the other an object – what you end up doing is commodifying people by slicing them into their constituent bits and bytes; ready to be sold off to the highest bidder.
And that, in a nutshell, is the business model of Silicon Valley: to digitise people and to own those digital copies.
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