Greg Kamprath

@gregkamprath
33 Followers
443 Following
369 Posts
Some things can be done as well as others
---
Enthusiastic about worker cooperatives and ranked choice voting. Hobbyist software developer and musician. Professional AV guy. he/him
Fair Districts PAhttps://fairdistrictspa.com
The Capitalist Youthhttps://thecapitalistyouth.bandcamp.com

Nice! I can see if the neighbors are having sex from their Wifi😂

Seriously though, this is amazing work.

RT @[email protected]

Accurate Pose Estimation Via WiFi Signals

"our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input"

arxiv: https://arxiv.org/abs/2301.00250

🐦🔗: https://twitter.com/nearcyan/status/1615229929825656835

DensePose From WiFi

Advances in computer vision and machine learning techniques have led to significant development in 2D and 3D human pose estimation from RGB cameras, LiDAR, and radars. However, human pose estimation from images is adversely affected by occlusion and lighting, which are common in many scenarios of interest. Radar and LiDAR technologies, on the other hand, need specialized hardware that is expensive and power-intensive. Furthermore, placing these sensors in non-public areas raises significant privacy concerns. To address these limitations, recent research has explored the use of WiFi antennas (1D sensors) for body segmentation and key-point body detection. This paper further expands on the use of the WiFi signal in combination with deep learning architectures, commonly used in computer vision, to estimate dense human pose correspondence. We developed a deep neural network that maps the phase and amplitude of WiFi signals to UV coordinates within 24 human regions. The results of the study reveal that our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input. This paves the way for low-cost, broadly accessible, and privacy-preserving algorithms for human sensing.

arXiv.org
Who knows what horrors lie beyond this door
Very excited to see @catandgirl here
Mountain climbing

And now dead again, along with some old unused API keys, which proves that this was intentional and we and others were specifically targeted.

I wouldn't have swapped out the keys in the first place if there was even a shred of communication. Figured if nothing else this would push the issue.

Oh well, on to smaller but greener pastures.

In early 2023, #Mozilla will stand up and test a publicly accessible instance in the #Fediverse at Mozilla.Social.

More info here: https://blog.mozilla.org/en/mozilla/mozilla-launch-fediverse-instance-social-media-alternative/

Mozilla to explore healthy social media alternative | The Mozilla Blog

Update: Starting May 4, 2023, we’re expanding Mozilla.social to a private beta. If you’re interested, join our waitlist. In early 2023, Mozilla will st

Back on the 2000s I remember a period of time where group SMS services were a thing - you could setup a group where any time a member texted a number it would be related to the other members

Power and internet in our town keeps going out but SMS keeps working, so a service like that is suddenly very relevant!

Anyone know of a good option for groups >20 but <100 people?

One of those things that's hard to search for because of all the SEO junk about running a marketing broadcast SMS list

Archaeologists in the future will find my car and speculate about the central role that spilling fast food barbecue sauce between the driver's seat and console played in my people's culture

Great article by @mmasnick with tips on how to find people to follow.

FollowGraph in particular is very useful. It finds the people that are followed by your followers, and orders them by the number of followers following them.

Okay, that was more tongue twister than useful info. But the point is, it finds the people your followers think are worth following.

It just gives their bio, and a Follow button. But the follow button doesn't actually follow, it goes to their profile, where you can see what they've posted, and follow there. That makes it a little slow, but realistically, you want to do that anyway, and this way it doesn't need your credentials, just your Mastodon address.

#FediverseTips

https://www.techdirt.com/2022/12/29/some-tricks-to-making-mastodon-way-more-useful/

Some Tricks To Making Mastodon Way More Useful

It’s been interesting to watch over the last few months as tons of people have migrated from Twitter to Mastodon (or similar compatible ActivityPub-based social media platforms). I’ve n…

Techdirt

What will happen if we’ll RETHINK our street corners?

We'll realize that until now, we've made them too car-centric. Street corners are designed for fast driving, which means pedestrians have to risk their safety just to cross the street.

But if we’ll rethink our street corners we’ll get

■ More space for pedestrians
■ Shorter crossing distance and time
■ Greener spaces
■ Safer Streets
■ Beautiful street corners

A great example from PGAA Creative Design in Manila