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procaryote 56 minutes ago [-]
It sounds like the title should be "the potential of audio AR", as nothing has really risen yet, and hasn't in the two years since the article was written
RobMurray 8 hours ago [-]
The article kind of dismissed Microsoft Soundscape as a failure, but for blind people who want awareness of what is around I still don't think there has been anything that beats it. I work on one of it's successors, Soundscape Community [0]. It is based on the code Microsoft released as open source when they shut down the project.
The problem with all implementations so far is they are slow, verbose, and clunky.
People working on these projects should study pre-digital forms of non-written communication. Commodities exchange pit floor hand signals. Pilot-ATC comms. Military radio. Etc.
If I want Audio AR, I want it to be like a co-pilot flying a jet with me. Crisp, concise, zero fluff.
Make it a slider for people who want to get chatted up vs those that don't.
numpad0 7 hours ago [-]
I was bracing a bit before clicking the link thinking about chances that this is about KU100 and 3Dio Free Space selling to consumers, not exactly like hotcakes but like nicer winter overcoats or more premium lawnmowers. OK, we're not there yet.
Aar is a welcome enhancement (that has its own, but potentially less privacy issues than video capture). There's a whole set of aar enabled glasses that focus more on the user via audio rather than reckless complete video capture like so many "smart" pervert glasses being shilled by large advertising companies.
To get good context, you need video data. To get good video data, you need cameras, lots of them, on your head.
To get them on your head you need them to be small and light
To get them to run you need batteries. But the maximum battery size you can get, without wires is about 1-1.5 watt hour.
Then, without making a custom wireless protocol, the maximum bandwith you can reliabily expect to user (with an iphone) is 1megabit.
That means you need to compress the world around you to 1megatbit a second.
Now, with a bit or work, like using eye tracking to segment what you are actually looking at(usually a 64x64 pixel image at 15-20 frames a second), and occasional wide angle view when the scene changed, you can build really good context, even reading a book.
But, you also need good location data, along with room classfication to get context. You can't really use GPS because they aren't accurate enough, and don't work all that well indoors. So you use visual odometry.
Once you have all that, you then now need to teach the machine to understand that 1mbit stream to work out if it knows the answer you need. oh and that has to work in a device that has ~10-15 watthours. or offload to a bit boy machine over a patching network.
So much room for advertising. Meta sure loves this
daemonologist 12 hours ago [-]
(2024)
darknoon 6 hours ago [-]
Should be labeled (2024)
yewenjie 9 hours ago [-]
anyone using any device/ app in this space they are happy about?
hulitu 2 days ago [-]
> They deliver high-quality sound and give developers access to a range of controls and sensor data, from volume to head movement to biometrics. Built-in microphones and simple controls make it easy to trigger assistants and audio apps.
[0] https://github.com/soundscape-community/soundscape/
People working on these projects should study pre-digital forms of non-written communication. Commodities exchange pit floor hand signals. Pilot-ATC comms. Military radio. Etc.
If I want Audio AR, I want it to be like a co-pilot flying a jet with me. Crisp, concise, zero fluff.
Make it a slider for people who want to get chatted up vs those that don't.
https://patents.google.com/patent/US11726740B2/en?oq=US-1172...
(2022)
https://photos.icloud.com/shared/album/0bcjn4GtAKvPziPqWKZqR...
To get good context, you need video data. To get good video data, you need cameras, lots of them, on your head.
To get them on your head you need them to be small and light
To get them to run you need batteries. But the maximum battery size you can get, without wires is about 1-1.5 watt hour.
Then, without making a custom wireless protocol, the maximum bandwith you can reliabily expect to user (with an iphone) is 1megabit.
That means you need to compress the world around you to 1megatbit a second.
Now, with a bit or work, like using eye tracking to segment what you are actually looking at(usually a 64x64 pixel image at 15-20 frames a second), and occasional wide angle view when the scene changed, you can build really good context, even reading a book.
But, you also need good location data, along with room classfication to get context. You can't really use GPS because they aren't accurate enough, and don't work all that well indoors. So you use visual odometry.
Once you have all that, you then now need to teach the machine to understand that 1mbit stream to work out if it knows the answer you need. oh and that has to work in a device that has ~10-15 watthours. or offload to a bit boy machine over a patching network.
ie: https://www.projectaria.com/
Fear the Greeks when they give you presents.
But i fear it is too late.