公开(公告)号：WO2021250688A1

公开(公告)日：2021-12-16

申请号：PCT/IN2020/050947

申请日：2020-11-10

申请人： MYELIN FOUNDRY PRIVATE LIMITED

发明人： SURYANARAYANAN, Ganesh ,  DESHPANDE, Vishvanath ,  RAMMOHAN, Anusha ,  JAIN, Vasant

IPC分类号： H04N21/23 ,  H04N21/25 ,  H04N21/6437 ,  H04N21/647 ,  H04N21/2225 ,  H04N21/234 ,  H04N21/251 ,  H04N21/25808 ,  H04N21/25866 ,  H04N21/64784

摘要： A system (100) for context driven processing of multimedia content (402) on an edge device (104) is presented. The system (100) includes an acquisition subsystem (404). Furthermore, the system (100) includes a processing subsystem (406) that includes a context aware artificial intelligence platform (408) configured to generate context characteristics based on user characteristics, edge device characteristics, and multimedia characteristics, retrieve a model (324, 412) based on the context characteristics, identify processing steps based on the model (324, 412), the context characteristics, or both, where the processing steps are used to perform context driven processing of input multimedia content (402) on the edge device (104), select, based on the model (324, 412), the context characteristics, or both, one or more target processing units (100) to perform the processing steps, and execute the processing steps on the selected target processing units (418, 420, 422, 424, 426) to generate improved output multimedia content. The system (100) includes an interface unit (428, 430) configured to provide, on the edge device (104), the improved output multimedia content.

公开(公告)号：WO2020202173A1

公开(公告)日：2020-10-08

申请号：PCT/IN2019/050519

申请日：2019-07-12

申请人： MYELIN FOUNDRY PRIVATE LIMITED

发明人： KATRAGADDA, Gopichand ,  SURYANARAYANAN, Ganesh

IPC分类号： A61B5/0205 ,  A61B5/024 ,  A61B5/04 ,  G16H50/20 ,  G16H50/30 ,  G06N20/00

摘要： A method (200) for predicting a wellness metric (208, 314, 612) is presented. The method (200) includes maintaining (202) a model which receives as input a set of parameters and provides as output a wellness metric (208, 314, 612). Furthermore, the method (200) includes receiving (204) a set of non-invasive biological parameters (106, 404, 602) of a user (102). In 5 addition, the method (200) includes providing (206) the set of non-invasive biological parameters (106, 404, 602) as the set of parameters to the model to cause the model to generate a wellness metric (208, 314, 612) for the user (102).