Fully articulated hand tracking and classifiers for hand states.
Please provide a classifier for the hand states (at least for 'open' & 'closed' hands) for each hand. Of course, other hand and finger poses may be added as well. A hand state classifier would provide good means for interaction with virtual objects and UI elements.
This suggestion is referring to the unfinished part of this (now closed) feature request: https://feedback.azure.com/forums/920053-azure-kinect-dk/suggestions/38154784-hands-support-in-body-tracking
rfilkov
shared this idea
Thank you for the interest! If more customers will vote for this issue, we will consider adding the support.
21 comments
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Lauren
commented
Another hand tracking device(DK) that can run on ARM32/ARM64 platform is very very important and helpful!!!
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Mdev
commented
How many votes are needed to get this started???
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Anonymous
commented
It would be great
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Chris
commented
Yes, Hand Tracking with the Azure Kinect would be very helpful!
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M
commented
Would be really helpful to have the HoloLens 2 hand-tracking API available on the azure Kinect DK
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Miguel Dias
commented
Fully articulated hand tracking is a need for most usecases I've been involved in. It is a real shame that this is not included in this new Kinect generation. I really hope you guys can add this feature. Thanks!
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Neo Chen
commented
We are interesting in finding a way for people to control the UI elements on Web page.
The movement need to be like using hand as a mouse on screen, so person can use hand to select, click and slide on screen.Our main course is to replace the touch screen by using hand remote control as touch screen.
Our web application look like this:
https://youtu.be/n3dQMOOiL2w -
David Morasz
commented
Look Microsoft already had something like this for Kinect2 which they then never ever released... https://www.microsoft.com/en-us/research/project/fully-articulated-hand-tracking/
but it looks like nowadays it is state mandated that every software solution should be a DNN, and anything else not involving those are thrown into a deep dark pit, and should never be brought up again... </opinionated-section>
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Akshay Sudheer
commented
It would be very useful if classifiers are added for hand states. Looking forward to see them in the future update.
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Anonymous
commented
This would be extremely useful.
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rfilkov
commented
Please comment here as well, if you like: https://github.com/microsoft/Azure-Kinect-Sensor-SDK/issues/1053
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Jeremiah Baxter
commented
Just open and closed hand states with a value that indicates how confident you are in the state would be incredible for use interaction
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Marco Giovanelli
commented
Please provide a fully articulated hand tracking.
This will be helpful for accessibility use cases (e.g. Sign Language, Virtual Presence...).This suggestion is related to the closed feature request: https://feedback.azure.com/forums/920053-azure-kinect-dk/suggestions/38154784-hands-support-in-body-tracking
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Nico
commented
full hand gestures would be very handy. Hand tracking/recognition without the rest of the body being in frame would be great as well
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Rob Jellinghaus
commented
...Up to 65 votes and it's now the highest "need feedback" issue. Seriously, how many more votes do you need? There were ~30 back in November and now there are double that. Do you need 100+?
Thanks! -
Rob Jellinghaus
commented
...How *many* more votes? :-) Up to 52 votes and now the 5th highest ranked issue of all.
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Huntley GAO
commented
This is quite a useful feature to support many other gestures. I'm wondering whether it's already in your backlog, is there any deadline I can expect? greate thanks.
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Rocky
commented
I am expecting for this feature of Azure Kinect
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MaxPower
commented
It would be great to leverage the HoloLens 2 hand tracking API in the Azure Kinect SDK to identify individual/mixed finger combinations and add hand gesture recognition (pinch, spread, swipe, tap, double tap, push, circle, wave, thumbs up, okay, and more).
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Blair
commented
This would be a great feature to have!