為何採用搶先體驗模式？

「We have enough to wear a lot of systemic tracking methods on our body, so we have developed a non -wearing system tracking system that only uses the camera. To make more people experience the immersion of VR, we need a set of sets of sets of immersion. Very extremely easy to use systemic tracking system. We use the architecture of deep learning and neural networks, and the feedback products of early users need to become better. If possible, please allow us to collect your daily use data. We guarantee that this data will only be used for training models. , Make it more accurate and stable」

這款軟體的搶先體驗時間大約會持續多久？

「2 years」

正式版預計會與搶先體驗版有何不同？

「We planing the full version will have more features:
> VR's whole body tracking (9 tracker in the upper body and the lower body)
> Gesture capture (seems to help you get rid of the handle button and the control method of the rays)
> 3D holographic call (even if it is no longer belonging to the category of Full Body Tracking)
> Use your real movement to control the movement of your game character and separate the upper and lower body (give you the speed of giving you progress according to the frequency of your steps, the upper and lower body are separated by the upper body, you can pull the gun horizontally)
> Emoticon recognition (suitable for parts that do not take the lead in showing live broadcast)
> Recording of action capture data (can export FBX and BVH's motion data format files)」

搶先體驗版目前的開發進度如何？

「Now we have completed the preliminary whole body tracking software and open a total of 5 trackers in the lower body. You can directly access the Steam VR. The current version can be used directly in the 《VR CHAT》, and the subsequent games will be gradually adapted.」

軟體售價在搶先體驗期間前後會有所變動嗎？

「No, we will have a free experience capture version, but in order to achieve better results or export -capturing capture data, you need to purchase senior members in the software to order our dedicated camera at the same time」

在開發過程中，您打算如何與社群互動？

「We need feedback from early users. Of course, it is best to agree to record the data in their use and upload it to us so that we can continue to train our neural network model」