公开(公告)号：US20210209289A1

公开(公告)日：2021-07-08

申请号：US17143674

申请日：2021-01-07

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Barath Raj KANDUR RAJA ,  Sumit KUMAR ,  Sanjana TRIPURAMALLU ,  Vibhav AGARWAL ,  Ankur AGARWAL ,  Chinmay ANAND ,  Likhith AMARVAJ ,  Shashank SRIRAM ,  Himanshu ARORA ,  Jayesh Rajkumar VACHHANI ,  Kranti CHALAMALASETTI ,  Rishabh KHURANA ,  Dwaraka Bhamidipati SREEVATSA ,  Raju Suresh DIXIT

IPC: G06F40/109 ,  G06F40/279 ,  G06F40/106

Abstract: An apparatus and method for generating a customized content are provided. An apparatus for generating a customized content, may include: at least one memory configured to store one or more instructions; at least one processor configured to execute the one or more instructions to: (1) obtain an input from a user; (2) detect, from the input, at least one feature and modality of the input among a plurality of modalities comprising a text format, a sound format, a still image format, and a moving image format; (3) determine a mode of the customized content, from a plurality of modes, based on the at least one feature and the modality of the input, the plurality of modes including an image mode and a text mode; and (4) generate the customized content based on the determined mode, and a display configured to display the customized content.

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.

公开(公告)号：US20220004872A1

公开(公告)日：2022-01-06

申请号：US17479519

申请日：2021-09-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Barath Raj Kandur RAJA ,  Sriram SHASHANK ,  Sanjana TRIPURAMALLU ,  Chinmay ANAND ,  Likhith AMARVAJ ,  Vibhav AGARWAL ,  Sumit KUMAR ,  Ankur AGARWAL ,  Yashwant SAINI ,  Guggilla BHANODAI ,  Kranti CHALAMALASETTI ,  Himanshu ARORA ,  Kusumakar DWIVEDI

IPC: G06N3/08 ,  G06F16/2457

Abstract: The present disclosure is related to the field of digital communication and provides a method and system for providing personalized multimodal objects in real-time. An object predicting system receives a text input from at least one application installed in a user device associated with a user. Thereafter, the object predicting system determines an intent of the user by analyzing the text input, which is then correlated with contextual data to generate a query. Subsequently, the object predicting system performs a unified search in a universal database, based on the query, wherein the universal database comprises multimodal data. Further, a plurality of multimodal objects predicted in response to the unified search are ranked based on at least one of the contextual data and user preferences. Finally, at least one of the predicted plurality of multimodal objected related to the text input are provided to the user based on the ranking.