公开(公告)号：US11573697B2

公开(公告)日：2023-02-07

申请号：US17111038

申请日：2020-12-03

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Barath Raj Kandur Raja ,  Ankur Agarwal ,  Bharath C ,  Harshavardhana ,  Ishan Vaid ,  Kranti Chalamalasetti ,  Mritunjai Chandra ,  Vibhav Agarwal

IPC: G06N3/08 ,  G06F3/04886 ,  G06F17/18 ,  G06N3/04

Abstract: Methods and systems for predicting keystrokes using a neural network analyzing cumulative effects of a plurality of factors impacting the typing behavior of a user. The factors may include typing pattern, previous keystrokes, specifics of keyboard used for typing, and contextual parameters pertaining to a device displaying the keyboard and the user. A plurality of features may be extracted and fused to obtain a plurality of feature vectors. The plurality of feature vectors can be optimized and processed by the neural network to identify known features and learn unknown features that are impacting the typing behavior. Thereby, the neural network predicts keystrokes using the known and unknown features.

公开(公告)号：US20210173555A1

公开(公告)日：2021-06-10

申请号：US17111038

申请日：2020-12-03

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Barath Raj KANDUR RAJA ,  Ankur AGARWAL ,  Bharath C ,  Harshavardhana ,  Ishan VAID ,  Kranti CHALAMALASETTI ,  Mritunjai CHANDRA ,  Vibhav AGARWAL

IPC: G06F3/0488 ,  G06N3/04 ,  G06N3/08 ,  G06F17/18

Abstract: Methods and systems for predicting keystrokes using a neural network analyzing cumulative effects of a plurality of factors impacting the typing behavior of a user. The factors may include typing pattern, previous keystrokes, specifics of keyboard used for typing, and contextual parameters pertaining to a device displaying the keyboard and the user. A plurality of features may be extracted and fused to obtain a plurality of feature vectors. The plurality of feature vectors can be optimized and processed by the neural network to identify known features and learn unknown features that are impacting the typing behavior. Thereby, the neural network predicts keystrokes using the known and unknown features.