-
公开(公告)号：US20240408483A1
公开(公告)日：2024-12-12
申请号：US18208159
申请日：2023-06-09
Applicant: Sony Interactive Entertainment Inc.
Inventor： Rathish Krishnan , Chockalingam Ravi Sundaram , Charlie Denison , Ryder McMinn , Orlando Cardoso , Warren Benedetto , Vinit Acharya
IPC: A63F13/52 , A63F13/5378 , A63F13/60 , G06F3/04817 , G06V20/70
Abstract: A system for generating gameplay context information for a game may include a game screen classification module trained to classify contextually relevant data from gameplay data, one or more game object recognition modules trained to detect game icons from gameplay data, and a multimodal context generation neural network module trained to generate structured gameplay context information from the contextually relevant data and icons within the gameplay data. The multimodal context generation neural network module at least partially generates structured gameplay context information. The modules may include neural networks trained by suitable machine learning algorithms using suitable masked data and labeled data.
-
Patent Agency Ranking
公开(公告)号：US20240412036A1
公开(公告)日：2024-12-12
申请号：US18208166
申请日：2023-06-09
Applicant: Sony Interactive Entertainment Inc.
Inventor： Rathish Krishnan , Chockalingam Ravi Sundaram , Charlie Denison , Ryder McMinn , Orlando Cardoso , Warren Benedetto , Vinit Acharya
Abstract: Application context may be interpolated between application state updates from structured and unstructured application state data. Irrelevant unimodal modules may be deactivated based on the structured application state data while relevant unimodal modules remain active. Unimodal features are generated from the unstructured application using the relevant modules. A neural module selection network module may be trained with a machine learning algorithm. Each unimodal modules may generate unimodal feature vectors from unstructured application data. A context state update module may determine which unimodal modules are irrelevant from structured application state data and deactivate the irrelevant modules but not the relevant ones. A multimodal neural network may take the active unimodal feature vectors and predict structured context data and send it to a uniform data system.
-
公开(公告)号：US12182332B2
公开(公告)日：2024-12-31
申请号：US17830990
申请日：2022-06-02
Applicant: Sony Interactive Entertainment Inc.
Inventor： Jorge Arroyo Palacios , Chockalingam Ravi Sundaram , Mark Anthony , Michael Hardisty , Sandeep Bansal
IPC: A63F13/215 , A63F13/211 , A63F13/213 , A63F13/2145 , A63F13/218 , A63F13/235 , G06F3/01 , G06F3/03 , G06F3/0346 , G06N20/20
Abstract: Methods and systems are provided for verifying an input provided at a controller including detecting a finger gesture on a surface of the controller. Responsive to detecting the finger gesture, multi-modal data is collected from a plurality of sensors and components tracking the finger gesture. The multi-modal data is used to generate an ensemble model using machine learning algorithm. The ensemble model is trained in accordance to training rules defined for different finger gestures. An output is identified from the ensemble model for the finger gesture. The output is interpreted to define an input for an interactive application selected for interaction.
-
公开(公告)号：US20220067384A1
公开(公告)日：2022-03-03
申请号：US17105375
申请日：2020-11-25
Applicant: Sony Interactive Entertainment Inc.
Inventor： Lakshmish Kaushik , Saket Kumar , Jaekwon Yoo , Kevin Zhang , Soheil Khorram , Sharath Rao , Chockalingam Ravi Sundaram
Abstract: Video and audio from a computer simulation are processed by a machine learning engine to identify candidate segments of the simulation for use in a video summary of the simulation. Text input is then used to reinforce whether a candidate segment should be included in the video summary.
-
公开(公告)号：US20240115940A1
公开(公告)日：2024-04-11
申请号：US18134741
申请日：2023-04-14
Applicant: Sony Interactive Entertainment Inc.
Inventor： Steven Osman , Olga Rudi , Frank Lin , David Coles , Chockalingam Ravi Sundaram , Coimbatore Ravi Madhavan
IPC: A63F13/335 , A63F13/355
CPC classification number: A63F13/335 , A63F13/355
Abstract: A method for managing gameplay of a video game is provided, including: executing a session of a video game by a cloud gaming resource; streaming video generated by the session over a network to a client device associated to a player of the video game, to enable gameplay of the session by the player; detecting a loss of network connectivity between the client device and the session; responsive to detecting the loss of network connectivity, then initiating transmission of updates regarding the session, via an alternative communication channel, to a secondary device associated to the player.
-
公开(公告)号：US20230393662A1
公开(公告)日：2023-12-07
申请号：US17830990
申请日：2022-06-02
Applicant: Sony Interactive Entertainment Inc.
Inventor： Jorge Arroyo Palacios , Chockalingam Ravi Sundaram , Mark Anthony , Michael Hardisty , Sandeep Bansal
IPC: G06F3/01 , G06N20/20 , G06F3/03 , G06F3/0346 , A63F13/2145 , A63F13/211 , A63F13/218 , A63F13/235 , A63F13/213 , A63F13/215
CPC classification number: G06F3/017 , G06N20/20 , G06F3/0304 , G06F3/0346 , A63F13/2145 , A63F13/211 , A63F13/218 , A63F13/235 , A63F13/213 , A63F13/215 , A63F2300/1031 , A63F2300/105 , A63F2300/1056 , A63F2300/1075 , A63F2300/1081 , A63F2300/1087
Abstract: Methods and systems are provided for verifying an input provided at a controller including detecting a finger gesture on a surface of the controller. Responsive to detecting the finger gesture, multi-modal data is collected from a plurality of sensors and components tracking the finger gesture. The multi-modal data is used to generate an ensemble model using machine learning algorithm. The ensemble model is trained in accordance to training rules defined for different finger gestures. An output is identified from the ensemble model for the finger gesture. The output is interpreted to define an input for an interactive application selected for interaction.
-
-
-
-
-
Search Results
6
records
(took 0.016 seconds)
