LabGraph is a Python framework for rapidly prototyping experimental systems for real-time streaming applications. It is particularly well-suited to real-time neuroscience, physiology and psychology experiments.
Hand tracking enables the use of hands as an input method for AR/VR applications. When using hands as input modality, it delivers a new sense of presence, enhances social engagement, and delivers more natural interactions with fully tracked hands and articulated fingers.
MediaPipe can be used for real-time hand tracking. LabGraph can be used to record the data captured from a webcam. It could also be extended to other downstream applications.
This task is to use MediaPipe for real-time hand tracking and labgraph for data logging (hdf5 format).
🚀 Feature
Hand tracking enables the use of hands as an input method for AR/VR applications. When using hands as input modality, it delivers a new sense of presence, enhances social engagement, and delivers more natural interactions with fully tracked hands and articulated fingers.
MediaPipe can be used for real-time hand tracking. LabGraph can be used to record the data captured from a webcam. It could also be extended to other downstream applications.
This task is to use MediaPipe for real-time hand tracking and labgraph for data logging (hdf5 format).
Additional context