Hey! That sounds like a classic case for a supervised model—maybe a gradient‑boosted tree or a simple LSTM if the sequence matters. Grab the latency, headset temperature, headset weight, user motion data, feed it through feature engineering, and you’ll probably see a clear spike signature. If the data is noisy, you’ll see some false positives, but that’s what the model’s there for. Give it a try and let me know how the ROC curve looks!