公开(公告)号：US20220100341A1

公开(公告)日：2022-03-31

申请号：US17448866

申请日：2021-09-24

Applicant: Apple Inc.

Inventor： Hojjat SEYED MOUSAVI ,  Behrooz SHAHSAVARI ,  Bongsoo SUH ,  Utkarsh GAUR ,  Nima FERDOSI ,  Baboo V. GOWREESUNKER

IPC: G06F3/041 ,  G06F3/0354 ,  G06N20/20

Abstract: In some examples, an electronic device can use machine learning techniques, such as convolutional neural networks, to estimate the distance between a stylus tip and a touch sensitive surface (e.g., stylus z-height). A subset of stylus data sensed at electrodes closest to the location of the stylus at the touch sensitive surface including data having multiple phases and frequencies can be provided to the machine learning algorithm. The estimated stylus z-height can be compared to one or more thresholds to determine whether or not the stylus is in contact with the touch sensitive surface. In some examples, the electronic device can use machine learning techniques to estimate the (x, y) position and/or tilt and/or azimuth angles of the stylus tip at the touch sensitive surface based on a subset of stylus data.

公开(公告)号：US20220100310A1

公开(公告)日：2022-03-31

申请号：US17161499

申请日：2021-01-28

Applicant: Apple Inc.

Inventor： Behrooz SHAHSAVARI ,  Bongsoo SUH ,  Utkarsh GAUR ,  Nima FERDOSI ,  Baboo V. GOWREESUNKER

IPC: G06F3/041 ,  G06F3/0354 ,  G06N3/04 ,  G06K9/62 ,  G06F3/044

Abstract: In some examples, an electronic device can use machine learning techniques, such as convolutional neural networks, to estimate the distance between a stylus tip and a touch sensitive surface (e.g., stylus z-height). A subset of stylus data sensed at electrodes closest to the location of the stylus at the touch sensitive surface including data having multiple phases and frequencies can be provided to the machine learning algorithm. The estimated stylus z-height can be compared to one or more thresholds to determine whether or not the stylus is in contact with the touch sensitive surface.