Why did you develop VChat ?

First of all because of the love and interest in virtual anchors and virtual idols such as Hatsune and secondary anime, and even in the field of virtualized digital people. I think in the future there may be one or even more avatars for each person to represent themselves.
Because I feel very uncomfortable and awkward in reality or traditional video social networking software, I hope to have a free virtual space where I can hide behind my favorite avatar to make communication more bold and free.
I wanted a free virtual space where I could hide behind my favorite avatar to make communication more bold and free, and to better protect my privacy, and to have more possibilities for fun interactions.
I really like a VR-based motion capture voice social game, but that game requires VR equipment and feels a bit costly and cumbersome. So I wanted to have a secondary voice social space that required only an ordinary camera and only a low configuration computer for motion capture. So VChat was born, and supports both single-user virtual host mode and network matching mode.

Why charge? I would love to have VChat as a free software. But at the moment, there are no ads or other ways to charge like other big companies, no way to maintain the high cost of voice servers and web servers, and the possibility of limiting the number of voice matches per day at the beginning, so if you like this entertainment software, thank you very much to everyone who supported the development through the buyout system at such an early stage. Further development and the possibility of lifting the current restrictions due to cost in the future.

What if there is a problem?
This is an entertainment-oriented software. Because of the use of motion recognition technology, although the configuration requirements are very low compared to similar software, but there may still be situations such as no discrete graphics card or multiple use of camera software conflicts or some special system environment can not be used properly. At this point you can Steam request a refund, or qq group: 717704991 @ group owner feedback problem.
Although the software may also be immature because of the software will receive such and such bad comments or even bad comments, but regardless of the good and bad are accepted. Good advice will certainly be adopted as far as possible. We hope you will be more tolerant and supportive.

Basic introduction

Based on but a single camera capture of secondary virtual image voice social software.

After entering the application, users can set their own secondary avatar, and then chat with other users by matching voice, and the video chat process is carried out using their own secondary avatar.
The application will project the user's expressions and movements onto the secondary avatar through facial recognition technology to conduct voice chat socially.
The user manipulates the expressions of the virtual character through expressions, which is simply similar to the Avatar system. The movie Avatar manipulates the real body, while the player manipulates the secondary virtual image through the application.
The application will continue to develop, user-defined upload network models and other functions.
It also supports personal anchor mode and social network mode.

Chat Social

The role of facial expressions and body movements in conveying emotions in people's communication is more prominent than that of traditional voice and text socialization.
The virtual image is used to chat with friends through friend matching.
Only a single RGB camera without VR and other expensive motion capture equipment can capture the use of expressions and gestures and your body movements to fully communicate with friends. It makes the secondary image more interesting and expressive.

Motion Capture

Personal mode support model: personal mode support custom Live2d (model3.json). 3D model (VRM).
Network social mode support model: support the software built-in 3D model (VRM) for matching friends (future versions will support user-defined model upload).
Accuracy: 500 marked points, more accurate . There is potential to support more detailed expressions with high precision models.
Sensitivity: high, smooth recognition action without obvious jitter. Support for large angle weak light source, face mask (mask, glasses) recognition.
Tracking modes: support for expression capture, five-finger gesture, body movement capture.
Required equipment: all tracking modes only need ordinary camera and ordinary cpu. no need for professional VR equipment, motion capture equipment or depth camera.
Performance: recognition speed is very fast, low cpu occupation. Only the expression recognition needs an ordinary cpu, while the five fingers and limbs and expression iris recognition can achieve good performance in the mid-range cpu. No high-end graphics card is needed.

Dual mode support

Personal mode: no network required, only single RGB camera for expression capture, five-finger gesture, body movement capture. Suitable for virtual anchor, online classes, etc.
Network social mode: requires network login to match virtual secondary friends.

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