Hi, I'm implementing an arm swinging locomotion system in Unity using a Quest 2 as the test device. The thing is, it's all written using classical computing rule based conditionals. I was able to get the player to move forward when they swing their arms though constraints on the touch controller's velocity. The problem is, this method is easy to fool and returns many false positives; whenever the player moves their arms, the camera moves forward. So I thought this is the perfect project to get started learning to utilize ML. Could you guys please advise me on what I need to learn in order to train a model to recognize hand movement patterns that are associated with walking forward? This way I can hopefully cut down on the false positives. Thanks.