Patents by Inventor Barath Raj KANDUR RAJA
Barath Raj KANDUR RAJA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11914787Abstract: Disclosed is a method for a social interaction by a robot device. The method includes receiving an input from a user, determining an emotional state of the user by mapping the received input with a set of emotions and dynamically interacting with the user based on the determined emotional state in response to the input. Dynamically interacting with the user includes generating contextual parameters based on the determined emotional state. The method includes determining an action in response to the received input based on the generated contextual parameters and performing the determined action. The method further includes receiving another input from the user in response to the performed action and dynamically updating the mapping of the received input with the set of emotions based on the other input for interacting with the user.Type: GrantFiled: December 27, 2021Date of Patent: February 27, 2024Assignee: Samsung Electronics Co., Ltd.Inventors: Kachana Raghunatha Reddy, Vanraj Vala, Barath Raj Kandur Raja, Mohamed Akram Ulla Shariff, Parameswaranath Vadackupurath Mani, Beda Prakash Meher, Mahender Rampelli, Namitha Poojary, Sujay Srinivasa Murthy, Amit Arvind Mankikar, Balabhaskar Veerannagari, Sreevatsa Dwaraka Bhamidipati, Sanjay Ghosh
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Publication number: 20230377717Abstract: Provided is a method for predicting emotion of a user by an electronic device. The method includes receiving, by the electronic device, a user context, a device context and an environment context from the electronic device and one or more other electronic device connected to the electronic device and determining, by the electronic device, a combined representation of the user context, the device context and the environment context. The method also includes determining, by the electronic device, a plurality of user characteristics based on the combined representation of the user context, the device context and the environment context; and predicting, by the electronic device, an emotion of the user based on the combined representation of the user context, the device context, the environment context and the plurality of user characteristics.Type: ApplicationFiled: July 31, 2023Publication date: November 23, 2023Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Barath Raj KANDUR RAJA, Sumit Kumar, Sriram Shashank, Harichandahana Bhogaraju Sawaraja Sai, Chinmay Anand, Jayesh Rajkumar Vachhani, Ankita Bhardwaj, Shwetank Choudhary, Srishti Malaviya, Tarun Gopalakrishnan, Dwaraka Bhamidipati Sreevastsa
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Publication number: 20230368534Abstract: A method for generating at least one segment of a video by an electronic device is provided. The method includes identifying at least one of a context associated with the video and an interaction of a user in connection with the video, analyzing at least one parameter in at least one frame of the video with reference to at least one of the context and the interaction of the user, wherein the at least one parameter includes at least one of a subject, an environment, an action of the subject, and an object, determining the at least one frame in which a change in the at least one parameter occurs, and generating at least one segment of the video comprising the at least one frame in which the parameter changed as a temporal boundary of the at least one segment.Type: ApplicationFiled: July 24, 2023Publication date: November 16, 2023Inventors: Jayesh Rajkumar VACHHANI, Sourabh Vasant GOTHE, Barath Raj KANDUR RAJA, Pranay KASHYAP, Rakshith SRINIVAS, Rishabh KHURANA
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Patent number: 11776289Abstract: Embodiments herein disclose a method and electronic device for predicting multi-modal drawings. The method includes: receiving, by the electronic device, at least one of a text input and strokes of a drawing and determining, by the electronic device, features associated with the text input and features associated with the strokes of the drawing. The method includes classifying, by the electronic device, the features associated with the text input and the features associated with the strokes of the drawing into one of a dominant feature and a non-dominant feature and performing, by the electronic device, early concatenation or late concatenation of the features based on the classification; classifying, by the electronic device, the strokes of the drawing based on the concatenation into a category using a deep neural network (DNN) model; and predicting, by the electronic device, primary drawings corresponding to the category.Type: GrantFiled: May 10, 2022Date of Patent: October 3, 2023Assignee: Samsung Electronics Co., Ltd.Inventors: Sourabh Vasant Gothe, Rakshith S, Jayesh Rajkumar Vachhani, Yashwant Singh Saini, Barath Raj Kandur Raja, Himanshu Arora, Rishabh Khurana
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Publication number: 20230252243Abstract: Present disclosure relates to a method and a user equipment (UE) for enhancing multimodal input content. The UE obtains text-blocks associated with multimodal input and determines a plurality of features for each of the text-blocks using a natural language processing (NLP) model and a neural network (NN) model. Further, the UE identifies usage pattern of the plurality of features based on historic data associated with the usage of the plurality of features using NN model. Thereafter, the UE generates personalized text for each of the textblocks based on the plurality of features and usage pattern. The UE inserts personalized emoticons based on context of text-blocks and lingo of each word using user lingo database. Thus, the UE eliminates manual correction of texts and enhances the readability of message/text entered by user.Type: ApplicationFiled: April 7, 2023Publication date: August 10, 2023Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Sumit Kumar, Barath Raj Kandur Raja, Yashwant Singh Saini, Sourabh Vasant Gothe, Harichandana Bhogaraju Swarajya Sai, Chandramouli Sanchi, Himanshu Arora, Vibhav Agarwal
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Publication number: 20230251950Abstract: Embodiments herein disclose methods and systems for identifying behavioural trends across users. The system includes electronic devices. The electronic devices include a behavioural recommendation controller. The behavioural recommendation controller is configured to: detect a first plurality of activities performed by a plurality of first users in relation with a plurality of contexts; recognize the first plurality of physical activities in relation with the plurality of contexts for the first user; recognize multiple activities performed using smart devices by the first user during each first physical activity in each context; and recognize a second plurality of physical activities performed by multiple concurrent second users during each context to refer current behavior or new behavior of the users.Type: ApplicationFiled: March 28, 2023Publication date: August 10, 2023Inventors: Mohamed Akram Ulla SHARIFF, Parameswaranath Vadackupurath Mani, Barath Raj Kandur Raja, Mrinaal Dogra
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Publication number: 20230223008Abstract: A method for intelligently reading displayed contents by an electronic device is provided. The method includes obtaining a screen representation based on a plurality of contents displayed on a screen of the electronic device. The method includes extracting a plurality of insights comprising at least one of intent, importance, emotion, sound representation and information sequence of the plurality of contents from the plurality of contents based on the screen representation. The method includes generating audio emulating the extracted plurality of insights.Type: ApplicationFiled: February 16, 2023Publication date: July 13, 2023Inventors: Sumit KUMAR, Barath Raj KANDUR RAJA, Vibhav AGARWAL, Sourav GHOSH, Yashwant Singh SAINI, Himanshu ARORA, Harichandana BHOGARAJU SWARAJYA SAI
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Publication number: 20230103311Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.Type: ApplicationFiled: October 6, 2022Publication date: April 6, 2023Inventors: Naresh PURRE, Sriram Shashank, Sri Lakshmi Punuru, Barath Raj Kandur Raja, Vanraj Vala, Aayush Yadav, Aditi Anil Kagane, Sudeep Kumar Kodali, Rishabh Kumar, Srinivasa Rao Siddi, Manjunath Bhimappa Ujjinakoppa, Mansoor Variyathpara Mohammed, Hemant Tiwari, Dwaraka Bhamidipati Sreevatsa, Ankita Bhardwaj, Vipin Rao, Likhith Amarvaj, Vibhav Agarwal, Yashwant Singh Saini, Himanshu Arora, Muthu Kumaran, Seungseok Kang, Sanguk Jeon, Jaehoon Park, Pilsik Choi, Hojun Jaygarl, Shweta Ratanpura, Mritunjai Chandra
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Patent number: 11573697Abstract: 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.Type: GrantFiled: December 3, 2020Date of Patent: February 7, 2023Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Barath Raj Kandur Raja, Ankur Agarwal, Bharath C, Harshavardhana, Ishan Vaid, Kranti Chalamalasetti, Mritunjai Chandra, Vibhav Agarwal
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Publication number: 20220301331Abstract: Embodiments herein disclose a method and electronic device for predicting multi-modal drawings. The method includes: receiving, by the electronic device, at least one of a text input and strokes of a drawing and determining, by the electronic device, features associated with the text input and features associated with the strokes of the drawing. The method includes classifying, by the electronic device, the features associated with the text input and the features associated with the strokes of the drawing into one of a dominant feature and a non-dominant feature and performing, by the electronic device, early concatenation or late concatenation of the features based on the classification; classifying, by the electronic device, the strokes of the drawing based on the concatenation into a category using a deep neural network (DNN) model; and predicting, by the electronic device, primary drawings corresponding to the category.Type: ApplicationFiled: May 10, 2022Publication date: September 22, 2022Inventors: Sourabh Vasant GOTHE, Rakshith S, Jayesh Rajkumar Vachhani, Yashwant Singh Saini, Barath Raj Kandur Raja, Himanshu Arora, Rishabh Khurana
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Publication number: 20220147153Abstract: Disclosed is a method for a social interaction by a robot device. The method includes receiving an input from a user, determining an emotional state of the user by mapping the received input with a set of emotions and dynamically interacting with the user based on the determined emotional state in response to the input. Dynamically interacting with the user includes generating contextual parameters based on the determined emotional state. The method includes determining an action in response to the received input based on the generated contextual parameters and performing the determined action. The method further includes receiving another input from the user in response to the performed action and dynamically updating the mapping of the received input with the set of emotions based on the other input for interacting with the user.Type: ApplicationFiled: December 27, 2021Publication date: May 12, 2022Inventors: Kachana Raghunatha REDDY, Vanraj VALA, Barath Raj KANDUR RAJA, Mohamed Akram Ulla SHARIFF, Parameswaranath Vadackupurath MANI, Beda Prakash MEHER, Mahender RAMPELLI, Namitha POOJARY, Sujay Srinivasa MURTHY, Amit Arvind MANKIKAR, Balabhaskar VEERANNAGARI, Sreevatsa Dwaraka BHAMIDIPATI, Sanjay GHOSH
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Publication number: 20220100789Abstract: Accordingly, embodiments herein disclose a method and apparatus for retrieving intelligent information from an electronic device (100). The method includes receiving, by the electronic device (100), an input from a user. Further, the method includes identifying, by the electronic device (100), at least one data item to generate at least one metadata tag. Further, the method includes automatically generating, by the electronic device (100), the at least one metadata tag related to the at least one data item based on a plurality of parameters. Further, the method includes providing, by the electronic device (100), at least one priority to the at least one metadata tag. Further, the method includes storing, by the electronic device (100), the at least one metadata tag at the electronic device (100).Type: ApplicationFiled: January 6, 2020Publication date: March 31, 2022Inventors: Sumit KUMAR, Barath Raj KANDUR RAJA, Debi Prasanna MOHANTY, Gopi RAMENA, Hallah ZORINSANGI, Hema ARAVINDAN, Manoj GOYAL, Parmarth vawa SARATHI RAI, Sukumar MOHARANA
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Patent number: 11256752Abstract: An electronic device for providing contextual recommendations and a method therefor are provided. The electronic device includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain text including characters, identify, based on a language model, a domain corresponding to the text, identify a reference of the characters based on the domain, and perform, based on the reference, an action related to the domain.Type: GrantFiled: May 2, 2019Date of Patent: February 22, 2022Assignee: Samsung Electronics Co., Ltd.Inventors: Barath Raj Kandur Raja, Ankur Agarwal, Arko Sabui, Arjun Raj Kumar S, Shashank Sriram, Himanshi Sinha, Ketki Aniruddha Gupte, Vibhav Agarwal
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Publication number: 20220004872Abstract: 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.Type: ApplicationFiled: September 20, 2021Publication date: January 6, 2022Inventors: 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
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Patent number: 11209907Abstract: Disclosed is a method for a social interaction by a robot device. The method includes receiving an input from a user, determining an emotional state of the user by mapping the received input with a set of emotions and dynamically interacting with the user based on the determined emotional state in response to the input. Dynamically interacting with the user includes generating contextual parameters based on the determined emotional state. The method includes determining an action in response to the received input based on the generated contextual parameters and performing the determined action. The method further includes receiving another input from the user in response to the performed action and dynamically updating the mapping of the received input with the set of emotions based on the other input for interacting with the user.Type: GrantFiled: September 18, 2018Date of Patent: December 28, 2021Assignee: Samsung Electronics Co., Ltd.Inventors: Kachana Raghunatha Reddy, Vanraj Vala, Barath Raj Kandur Raja, Mohamed Akram Ulla Shariff, Parameswaranath Vadackupurath Mani, Beda Prakash Meher, Mahender Rampelli, Namitha Poojary, Sujay Srinivasa Murthy, Amit Arvind Mankikar, Balabhaskar Veerannagari, Sreevatsa Dwaraka Bhamidipati, Sanjay Ghosh
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Publication number: 20210209289Abstract: 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.Type: ApplicationFiled: January 7, 2021Publication date: July 8, 2021Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: 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
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Publication number: 20210191351Abstract: A method of controlling a plurality of Internet of Things (IoT) devices included in an IoT ecosystem is provided. A change of a value of a resource of an IoT device from among the plurality of IoT devices is detected, an intent associated with the resource of which the value is changed is identified, a resource associated with the identified intent from among resources of the plurality of IoT devices is determined, and a value of the determined resource is controlled based on a context corresponding to the identified intent.Type: ApplicationFiled: December 18, 2020Publication date: June 24, 2021Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Kavin Kumar THANGADORAI, Barath Raj KANDUR RAJA, Srihari SRIRAM, Kumar MURUGESAN, Arjun Raj Kumar S
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Publication number: 20210173555Abstract: 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.Type: ApplicationFiled: December 3, 2020Publication date: June 10, 2021Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Barath Raj KANDUR RAJA, Ankur AGARWAL, Bharath C, Harshavardhana, Ishan VAID, Kranti CHALAMALASETTI, Mritunjai CHANDRA, Vibhav AGARWAL
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Publication number: 20210097239Abstract: A method for determining sensitivity-based bias of text includes detecting an input action performed by a user from a plurality of actions, wherein the plurality of actions comprises typing one or more words on a virtual keyboard of a user device and accessing readable content on the user device. When the input action is accessing the readable content on the user device, determining the readable content to be insensitive by parsing the readable content and feeding the parsed readable content to a machine learning (ML) model, wherein the ML model is trained with insensitive datasets of an adversarial database, and presenting a first alert message on the user device before displaying the readable content completely on the user device when the readable content is determined to be insensitive.Type: ApplicationFiled: September 28, 2020Publication date: April 1, 2021Inventors: Himanshu ARORA, Sugam GARG, Barath Raj KANDUR RAJA, Likhith AMARVAJ, Sumit KUMAR, Sriram SHASHANK, Sanjana TRIPURAMALLU, Chinmay ANAND
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Patent number: 10831283Abstract: An electronic device and a method for predicting a response are provided. The electronic device includes a display and a processor configured to receive at least one message, identify at least one contextual category of the at least one message, predict at least one response for the at least one message from a language model based on the at least one contextual category, and control the display to display the at least one predicted response.Type: GrantFiled: June 2, 2017Date of Patent: November 10, 2020Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Barath Raj Kandur Raja, Balaji Vijayanagaram Ramalingam, Harshavardhana Poojari, Raju Suresh Dixit, Sreevatsa Dwaraka Bhamidipati, Srinivasa Rao Siddi, Kalyan Kakani, Vibhav Agarwal, Yashwant Saini