Machine Learning Steering Wheel - 2022
Examples when Machine Learning is applied to the Steering Wheel. Intended touches properly processed, accidental touches rejected.
Common driving actions or poses such as the "truckers pose" a hold and squeeze motion, surface wiping actions are properly interpreted and rejected eliminating false triggering.
This is all locally processed at the HMI TouchPoint edge controller point in addition to driving feedback illumination, audio and haptic feedback.