Windows 10: Multiuser Keyboard

I have issue with keyboard. when one user logged in on computer, when I switch user Keyboard stops working, I can fix thin only if I log out first user than login to second. if you need additional information tell me what to provide

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is there a way to have 3 touchscreen input devices running independantly from one pc?

Multitouch is about the relationship between each point. The most simple being two points pinch, the two point move together to read the command and affects the whole desktop.

The issue is from what you describe you want to only use touch and have two Windows active at the same time but what if the keyboard was used, which Window would take the input? Even if you are not actually going to, Focus can only be on one Window at a
time

Essentially you are trying to turn a single user environment into multiuser. Not impossible but involves more than just having screens that can do what you want.

 

Multi-user finguerprint registration and detection using Windows Hello in UWP app

Im using Windows 10 and VS2017.I have a Finguerprint sensor and Windows hello installed and working fine. It detects finguers. Im now developing a UWP app for multiuser registration using finguerprint. For that propose Im using following part of code:

var keyCreationResult = await KeyCredentialManager.RequestCreateAsync( ("Peter", KeyCredentialCreationOption.ReplaceExisting);

The problem I found is that it currently shows a UI dialog asking for current loged in user credentials confirmation. It was suppose to show afther this the Windows Hello Settings page for finguerprint detection( as is in the normal Windows 10 "Windows Hello"
Settings page). Afther loged in user confirmation the dialog closes and no forther finguerprint detection is possible. I dont know is this is a Security norm from Microsoft to not allow outside settings finguer detection ?! . Please can someone test this line
of code and let me know if problem confirms? and how to correctly use multiuser finguerprint registration and detection. thank you Jose Lopes