A Windows application that uses multiple webcams to capture human motion using AI. Captured motion can be exported via OSC (VMT, VMC) protocol or shared memory in real time, or saved as BVH files or FBX files. Hand tracking and face tracking supported.
All Reviews:
7 user reviews - Need more user reviews to generate a score
Release Date:
Dec 30, 2021
Tags

Sign in to add this item to your wishlist, follow it, or mark it as ignored

Early Access Software

Get involved with this software as it develops.

Note: This Early Access software is not complete and may or may not change further. If you are not excited to use this software in its current state, then you should wait to see if it progresses further in development. Learn more

What the developers have to say:

Why Early Access?

“Our application has already been used by a large number of users since its release in June 2021. We have received a lot of feedbacks on our Discord server, and we have upgraded our app more than 15 times so far, though many requests are still on the ToDo list. We are planning to continue upgrading as follows and accepting feedbacks from users.
Q1 2022:
- Add upper body only mode (=> Released in v1.15)
- Improve performance by reducing rendering (=> Released in v1.15)
- Add read/write function of setting preset
Q2 2022:
- Improve tracking accuracy using time series data
- Add data output format (=> Released in v1.16)”

Approximately how long will this software be in Early Access?

“For 1 to 2 years.”

How is the full version planned to differ from the Early Access version?

“In the future version, we plan to improve the user interface, reduce CPU/GPU usage, improve estimation accuracy, and add data output options.”

What is the current state of the Early Access version?

“Basically, all necessary functions have been implemented, and it is in a state where it can be practically operated in terms of load and accuracy, such as use with VR applications and send data to DCC tools or game engines.”

Will this software be priced differently during and after Early Access?

“We plan to raise the price as new features are implemented.”

How are you planning on involving the Community in your development process?

“We accepts suggestions and bug reports at our Discord server.”
Read more

Download MocapForAll Demo

Buy MocapForAll

 
See all discussions

Report bugs and leave feedback for this software on the discussion boards

About This Software

--------
PLEASE TRY DEMO VERSION FIRST
Make sure the app works in your environment before purchase. The demo version has limited functionality only for data export.
--------

This is a Windows application that uses multiple webcams to capture human motion using AI.

No special equipment required

You can capture human motion if you have the followings:
  • a middle range PC
  • 2 or more webcams
  • a room of about 2.5m x 2.5m
You can use regular webcams like the ones used in video conferences. You can also use apps that turns your smartphones or tablets into webcams.

Realtime with a middle range PC

For examples, it runs at
  • around 17 fps on Surface Pro 7 which does not have a dedicated GPU
  • 30 to 60 fps on GTX 1080 Ti

What you can do with MocapForAll

  • You can output captured motion to the network(*1) via VMT protocol(*2) and VMC protocol(*3) in real time.
  • You can save the captured motion to files in BVH format and FBX format.
  • You can output captured motion to the shared memory in real time.

(*1) Both VMT protocol and VMC protocol use UDP/OpenSound Control.
(*2) "VMT protocol" here refers to the message format used in the communication of Virtual Motion Tracker. The official HP of Virtual Motion Tracker does not use the word "VMT protocol", but MocapForAll uses the word "VMT protocol" for convenience.
(*3) "VMC protocol" is a message format used for communication between applications such as VirtualMotionCapture. Note that VirtualMotionCapture itself is not required for other compatible apps to communicate with each other using VMC protocol.

These allow you to do the followings:

Use in SteamVR via Virtual Motion Tracker
Through Virtual Motion Tracker, the capture motion can be used as virtual trackers in applications running on SteamVR.

Use in Unreal Engine4, Unreal Engine5, Unity
You can send the captured motion to Unreal Engine4, Unreal Engine5, or Unity for game development or video production.
  • Plugins for linking data directly to UE4, UE5, or Unity are available from the online manual.
  • As described in Use in other apps via VMC protocol, it is also possible to link by EVMC4U and VMC4UE using VMC Protocol.
  • A Unity sample to read data from the shared memory written by MocapForAll is available from the online manual.

Use in other apps via VMC protocol
You can send the captured motion to various applications via the VMC protocol. The following are confirmed to work:
  • Sending bones and facial expression morphs to Unity using EVMC4U
  • Sending bones and facial expression morphs to Unreal Engine using VMC4UE
  • Sending bones to Blender using VMC4B
  • Sending bones to VSeeFace, and receiving facial expression morphs from VSeeFace
  • Sending tracker to VirtualMotionCapture

Save animations to files
You can save the captured motion as BVH files and FBX files. It can be used with Blender etc.

Create programs to receive data
As the output specifications are open to public (except for FBX), you can even create your own programs to receive data from MocapForAll.

System Requirements

    Minimum:
    • Requires a 64-bit processor and operating system
    • OS: Windwos 10
    • Processor: 1.1GHz quad-core processor
    • Memory: 8 GB RAM
    • Storage: 2 GB available space
    • Additional Notes: Tested on Surface Pro 7
    Recommended:
    • Requires a 64-bit processor and operating system
    • OS: Windwos 10
    • Processor: 4.5GHz quad-core processor
    • Memory: 16 GB RAM
    • Graphics: Geforce GTX 1080 Ti
    • DirectX: Version 12
    • Storage: 2 GB available space

Customer reviews

Review Type


Purchase Type


Language


Date Range
To view reviews within a date range, please click and drag a selection on a graph above or click on a specific bar.

Show graph



Playtime
Filter reviews by the user's playtime when the review was written:



No minimum to No maximum
Display As:
Show graph
 
Hide graph
 
Filters
Excluding Off-topic Review Activity
Playtime:
There are no more reviews that match the filters set above
Adjust the filters above to see other reviews
Loading reviews...