By adding RGB detecting algorithm, HOG algorithm and YOLO detecting algorithm, Hand CV comes up with a much better solution for hand detection. Unlike common solutions, Hand CV’s gesture recognition algorithm is not merely based on skin-color detection, but also based on the outline of our hands and machine learning. With Hand CV, users can experience the convenience of gesture interaction without paying a penny. It has strong robustness and is easy to use, which satisfies the needs of light interaction, such as selecting, confirm, dragging and dropping. Hand CV is specially optimized for mobile VR / AR. Software platforms: IOS, Android, Unity, Windows, Linux, Mac OS Product name: Hand CV Gesture Interaction SDKĭeveloper: Beijing Yingmeiji Technology CO., Ltd. The team believes adding gesture control in every mobile VR product can greatly improve and enrich the user experience of it. Hand CV is the new product that aims to solve the interaction pain points in mobile VR environment. The team has more than ten years’ experience in conducting research and development in the field of Computer Vision.

All of these can be achieved by gesture control within the VR environment if you integrate our SDK in VR product. Some examples of using gesture control in VR environemnt could be using gestures to play/pause video, control the progress bar by dragging, select video or app. If you use our SDK in the VR product(whether software or hardware ), your users can use gesture control without using any additional device.

The form of the company’s product is an SDK.

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