hoodlum
MuscleHead
- Jan 3, 2012
- 903
- 172
If you haven't read my thread here or watched the video here I suggest you go and do that to get a better understanding of the tangent I'm about to go on. This is probably a post that no one will care about but I still took the time to type all of this up for some unknown reason.
In modern society technology is something people consider as a useful tool and it is seldom that security and anti-surveillance is the first thing that jumps in to a persons mind when they are considering choosing a new phone. Marketing is all about what a phone can do for you and how many apps it has available but someone with a bit more insight might realise that each and every app available is potentially a disguised attack and everything the phone can do (a high resolution camera, a microphone that samples over 44000 times per second and an accelerometer) can be used against you to invade your privacy at every level. Not only do spies sift through your internet history anymore and your browsing habbits but now they construct a full profile of you. Every intimate detail about your life is more easily accessed by them as technology grows (think smartphones) and in the modern day they even go so far as to take pictures of inside your home & work (once again see my post here) which can even give them hand-written notes that were just sitting around and never came in to contact with technology.
This aforementioned technology allows them to construct a 3D model of your surroundings. It allows them to retrieve sensitive information and otherwise unknown data but also allows anyone to potentially estimate the size of the room based on known object sizes (such as A4 sheets of paper) to give a scale and shadows to predict distances. Obviously when this is being used where exact measurements need to be provided (think targeted raids) it is unreliable.
Now if there was a microphone in the room, even better if it was moved around the room along with some way to listen for the echo's then we would be able to precisely map things... oh wait, there is - your phone. Thanks to Ivan Dokmanića, Reza Parhizkara, Andreas Walthera, Yue M. Lub, and Martin Vetterlia there is now an algorithm and a predefined test method to be able to map the geometry of a room based on echos. Using your phone to emit sounds and capture the responses (or in the future just capture responses) could be the next step in surveillance to map target's surroundings. Due to the hardware nature of a phone there are some limitations and things that don't tie in exactly with the paper below but research can be expanded exponentially.
The first thing that people jump to is thinking that this noise emitted would need to be audible for a smartphone to pick up however Zoosh proved that the microphone was able to pick up sounds that humans are unable to hear (see here) in an effort to bring NFC technology to phones without it being a native built in option through hardware. This means a phone could emit sounds a human could not hear in order to map surroundings and then by combining this data with other sources can create a pretty invasive and complete picture.
Abstract:
"Imagine that you are blindfolded inside an unknown room. You snap your fingers and listen to the room’s response. Can you hear the shape of the room? Some people can do it naturally, but can we design computer algorithms that hear rooms? We show how to compute the shape of a convex polyhedral room from its response to a known sound, recorded by a few microphones. Geometric relationships between the arrival times of echoes enable us to “blindfoldedly” estimate the room geometry. This is achieved by exploiting the properties of Euclidean distance matrices. Furthermore, we show that under mild conditions, first-order echoes provide a unique description of convex polyhedral rooms. Our algorithm starts from the recorded impulse responses and proceeds by learning the correct assignment of echoes to walls. In contrast to earlier methods, the proposed algorithm reconstructs the full 3D geometry of the room from a single sound emission, and with an arbitrary geometry of the microphone array. As long as the microphones can hear the echoes, we can position them as we want. Besides answering a basic question about the inverse problem of room acoustics, our results find applications in areas such as architectural acoustics, indoor localization, virtual reality, and audio forensics."
Acoustic echoes reveal room shape
Published 17/05/2013
Direct Link: http://www.pnas.org/content/110/30/12186.full
Supporting Information - Dokmanic et al. 10.1073/pnas.1221464110
http://www.pnas.org/content/suppl/2013/06/12/1221464110.DCSupplemental/pnas.201221464SI.pdf
In modern society technology is something people consider as a useful tool and it is seldom that security and anti-surveillance is the first thing that jumps in to a persons mind when they are considering choosing a new phone. Marketing is all about what a phone can do for you and how many apps it has available but someone with a bit more insight might realise that each and every app available is potentially a disguised attack and everything the phone can do (a high resolution camera, a microphone that samples over 44000 times per second and an accelerometer) can be used against you to invade your privacy at every level. Not only do spies sift through your internet history anymore and your browsing habbits but now they construct a full profile of you. Every intimate detail about your life is more easily accessed by them as technology grows (think smartphones) and in the modern day they even go so far as to take pictures of inside your home & work (once again see my post here) which can even give them hand-written notes that were just sitting around and never came in to contact with technology.
This aforementioned technology allows them to construct a 3D model of your surroundings. It allows them to retrieve sensitive information and otherwise unknown data but also allows anyone to potentially estimate the size of the room based on known object sizes (such as A4 sheets of paper) to give a scale and shadows to predict distances. Obviously when this is being used where exact measurements need to be provided (think targeted raids) it is unreliable.
Now if there was a microphone in the room, even better if it was moved around the room along with some way to listen for the echo's then we would be able to precisely map things... oh wait, there is - your phone. Thanks to Ivan Dokmanića, Reza Parhizkara, Andreas Walthera, Yue M. Lub, and Martin Vetterlia there is now an algorithm and a predefined test method to be able to map the geometry of a room based on echos. Using your phone to emit sounds and capture the responses (or in the future just capture responses) could be the next step in surveillance to map target's surroundings. Due to the hardware nature of a phone there are some limitations and things that don't tie in exactly with the paper below but research can be expanded exponentially.
The first thing that people jump to is thinking that this noise emitted would need to be audible for a smartphone to pick up however Zoosh proved that the microphone was able to pick up sounds that humans are unable to hear (see here) in an effort to bring NFC technology to phones without it being a native built in option through hardware. This means a phone could emit sounds a human could not hear in order to map surroundings and then by combining this data with other sources can create a pretty invasive and complete picture.
Abstract:
"Imagine that you are blindfolded inside an unknown room. You snap your fingers and listen to the room’s response. Can you hear the shape of the room? Some people can do it naturally, but can we design computer algorithms that hear rooms? We show how to compute the shape of a convex polyhedral room from its response to a known sound, recorded by a few microphones. Geometric relationships between the arrival times of echoes enable us to “blindfoldedly” estimate the room geometry. This is achieved by exploiting the properties of Euclidean distance matrices. Furthermore, we show that under mild conditions, first-order echoes provide a unique description of convex polyhedral rooms. Our algorithm starts from the recorded impulse responses and proceeds by learning the correct assignment of echoes to walls. In contrast to earlier methods, the proposed algorithm reconstructs the full 3D geometry of the room from a single sound emission, and with an arbitrary geometry of the microphone array. As long as the microphones can hear the echoes, we can position them as we want. Besides answering a basic question about the inverse problem of room acoustics, our results find applications in areas such as architectural acoustics, indoor localization, virtual reality, and audio forensics."
Acoustic echoes reveal room shape
Published 17/05/2013
Direct Link: http://www.pnas.org/content/110/30/12186.full
Supporting Information - Dokmanic et al. 10.1073/pnas.1221464110
http://www.pnas.org/content/suppl/2013/06/12/1221464110.DCSupplemental/pnas.201221464SI.pdf