|
Considering being lightweight and quickly deployed on different types of hardware devices, this research uses Google MediaPipe as the basis for artificial intelligence recognition . Google MediaPipe is a development framework for processing machine learning applications. It can be applied to mobile devices such as PC, Android, IOS and utilize efficient management of resources to achieve low-latency performance. In this research, the hand recognition module was used to interact with the virtual environment. The perception pipeline can use MediaPipe to construct modular graphics, including model reasoning, media processing algorithms and data conversion. MediaPipe has many recognition modules. In this study, the hand recognition module was used to interact with the simulated environment.
|