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FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

fingerio.cs.washington.edu

31–40 of 126 posts

Re: FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

#31

I wonder how accurate it really is. The demo video didn't match up with the movements at all and the on-screen drawings looked like prerecorded video that they were trying to sync to. It's a neat idea, but without a dedicated component or an extremely high-speed RTOS, you're not going to come close to the level accuracy that's really needed to do the math and still allow interaction. I don't mean to rain on the parad…

If the tech is great then wonderful, but I still remember LeapMotion...

Re: FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

#32

I work with sonar and the physical positioning of the sensors is important in trying to get useful results. Why is it these academic types don't release the apks or software? Just publications and maybe a video.

You should try asking these academic types for the data and source code. A lot of researchers are more than happy to discuss their work, but a big part of the academic industry is your research's impact and references. A way to get a better handle on who is looking at or following on with your work is to implicitly ask them to have a conversation with you before getting the whole kit 'n caboodle.

These sorts of comments are why I come here. Thank you. Without prior awareness that something is common practice it can be extremely difficult to recognize it as an option. I simply lack the motivation for this behavior. If I were to release a teaser about my work it would be because I'm not ready to release my work.

Re: FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

#34
post #25

Earlier quoted context omitted.

You should try asking these academic types for the data and source code. A lot of researchers are more than happy to discuss their work, but a big part of the academic industry is your research's impact and references. A way to get a better handle on who is looking at or following on with your work is to implicitly ask them to have a conversation with you before getting the whole kit 'n caboodle.

> implicitly ask them I think you mean "explicitly"

No he means implicitly. By not providing everything the academic implicitly requests a conversation before providing everything. The request is never stated but is implied by the assumption that there is no other way to acquire everything.

Re: FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

#35
post #15

I wonder how much power all the processing draws. Judging from the slow movements and the delayed update on the screens in this video, it's pretty heavy on the processor.

The question is, is the multisecond latency because of processing and code efficiency limitations for a academic research project, or is it because the data is unusable without two seconds of smoothing? Given what I see in the video I could argue either way. I do note the latent signal is still a bit noisy, but then, touch screen input isn't necessarily clean either.

But it's also worth keeping in mind this is all off-the-shelf hardware. It seems very likely to me that if a cell phone or smart watch was designed to do this from the get-go that several easy hardware improvements and maybe a bit of custom DSP work would make this work much better. (By "easy hardware improvements", I mean things like speakers intended to emit frequencies for sonar, microphone arrays intended to receive them, etc.) From that perspective, even if the system we saw is fundamentally limited I'd still call it incredibly promising considering the constraints it is operating under!

If I were a smart watch manufacturer I'd be falling over myself to get one of my best engineers and one of my best recruiters an appointment with these people.

Re: FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

#36
This is cool. Thinking about smartphones as sensors opens up so many possibilities, even if their capabilities aren't nearly as accurate as dedicated devices. Wondering if the sonar information can be combined with images from the camera to create a close-range depth camera?

Re: FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

#37

I wonder how accurate it really is. The demo video didn't match up with the movements at all and the on-screen drawings looked like prerecorded video that they were trying to sync to. It's a neat idea, but without a dedicated component or an extremely high-speed RTOS, you're not going to come close to the level accuracy that's really needed to do the math and still allow interaction. I don't mean to rain on the parad…

If the tech is great then wonderful, but I still remember LeapMotion...

Have you tried the Orion SDK? It's an order of magnitude improvement in tracking accuracy, even with the older hardware. https://developer.leapmotion.com/orion

Re: FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

#40

Earlier quoted context omitted.

You should try asking these academic types for the data and source code. A lot of researchers are more than happy to discuss their work, but a big part of the academic industry is your research's impact and references. A way to get a better handle on who is looking at or following on with your work is to implicitly ask them to have a conversation with you before getting the whole kit 'n caboodle.

These sorts of comments are why I come here. Thank you. Without prior awareness that something is common practice it can be extremely difficult to recognize it as an option. I simply lack the motivation for this behavior. If I were to release a teaser about my work it would be because I'm not ready to release my work.

I read an abstract for paper once (on debluring images) and could not find the original paper for free. I emailed the author about the situation, and got a full color hard copy in the mail shortly after. My best hope had been a .pdf by email, but he exceeded that by far. It's still on my shelf a decade later, while a .pdf probably would have gotten lost in the GBs.
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