Patents by Inventor Namita Parab
Namita Parab 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: 10841731Abstract: Architecture that enables geofence combinations and compositions where multiple correlated geofences are generated for an entity such as a point of interest. The geofences can have varying radii relative to a specific entity and represent distinct areas or aspects of the entity. The geofences can relate to correspondingly different categories to which the entity can belong. The geofences can be of differing shapes than circular, such as polygons (e.g., rectangles, squares, etc.). Moreover, these differently shaped geofences can be applied to a single entity. Each geofence of a geofence set associated with an entity can be assigned to represent different parts of an entity such as a part a shopping mall. Geofence composition is obtained by combining multiple primitive geofences to compose more complex geofence(s) for an entity and for embedding the relationship of the primitive geofences into such compositions.Type: GrantFiled: October 1, 2018Date of Patent: November 17, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Namita Parab, Emmanouil Koukoumidis, Norm Bryar
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Publication number: 20190037343Abstract: Architecture that enables geofence combinations and compositions where multiple correlated geofences are generated for an entity such as a point of interest. The geofences can have varying radii relative to a specific entity and represent distinct areas or aspects of the entity. The geofences can relate to correspondingly different categories to which the entity can belong. The geofences can be of differing shapes than circular, such as polygons (e.g., rectangles, squares, etc.). Moreover, these differently shaped geofences can be applied to a single entity. Each geofence of a geofence set associated with an entity can be assigned to represent different parts of an entity such as a part a shopping mall. Geofence composition is obtained by combining multiple primitive geofences to compose more complex geofence(s) for an entity and for embedding the relationship of the primitive geofences into such compositions.Type: ApplicationFiled: October 1, 2018Publication date: January 31, 2019Inventors: Namita Parab, Emmanouil Koukoumidis, Norm Bryar
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Patent number: 10136251Abstract: Architecture that enables geofence combinations and compositions where multiple correlated geofences are generated for an entity such as a point of interest. The geofences can have varying radii relative to a specific entity and represent distinct areas or aspects of the entity. The geofences can relate to correspondingly different categories to which the entity can belong. The geofences can be of differing shapes than circular, such as polygons (e.g., rectangles, squares, etc.). Moreover, these differently shaped geofences can be applied to a single entity. Each geofence of a geofence set associated with an entity can be assigned to represent different parts of an entity such as a part a shopping mall. Geofence composition is obtained by combining multiple primitive geofences to compose more complex geofence(s) for an entity and for embedding the relationship of the primitive geofences into such compositions.Type: GrantFiled: November 28, 2013Date of Patent: November 20, 2018Assignee: Microsoft Technology Licensing, LLCInventors: Namita Parab, Emmanouil Koukoumidis, Norm Bryar
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Patent number: 9936346Abstract: Architecture that enables the capability to more effectively define and resize geofences to provide improved geofence utility based on rich context and crowd-sourced data. The architecture enables the intelligent placement of geofences based on rich context that includes both user context and ambient context such as the (predicted or implicitly/explicitly defined) user's travel path, mode of transport, the type of the entity to be visited by the user and geofenced, and the user incentive for visiting the entity to be geofenced. The ambient context includes non-user specific information such as external conditions that may limit or thwart user mobility such as traffic and weather conditions. The rich context and crowd-sourced data assist in improving the spatiotemporal accuracy of suggested/constructed geofences thereby creating a “shaped” geofence that is sufficiently defined to approximate the shape of the entity being geofenced with some degree of accuracy.Type: GrantFiled: November 28, 2013Date of Patent: April 3, 2018Assignee: Microsoft Technology Licensing, LLCInventors: Emmanouil Koukoumidis, Norm Bryar, Christopher Alme, Namita Parab, Stephen Lawler, Anthony Bice, Vanya Avramova
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Publication number: 20150148060Abstract: Architecture that enables geofence combinations and compositions where multiple correlated geofences are generated for an entity such as a point of interest. The geofences can have varying radii relative to a specific entity and represent distinct areas or aspects of the entity. The geofences can relate to correspondingly different categories to which the entity can belong. The geofences can be of differing shapes than circular, such as polygons (e.g., rectangles, squares, etc.). Moreover, these differently shaped geofences can be applied to a single entity. Each geofence of a geofence set associated with an entity can be assigned to represent different parts of an entity such as a part a shopping mall. Geofence composition is obtained by combining multiple primitive geofences to compose more complex geofence(s) for an entity and for embedding the relationship of the primitive geofences into such compositions.Type: ApplicationFiled: November 28, 2013Publication date: May 28, 2015Applicant: Microsoft CorporationInventors: Namita Parab, Emmanouil Koukoumidis, Norm Bryar
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Publication number: 20150148061Abstract: Architecture that enables the capability to more effectively define and resize geofences to provide improved geofence utility based on rich context and crowd-sourced data. The architecture enables the intelligent placement of geofences based on rich context that includes both user context and ambient context such as the (predicted or implicitly/explicitly defined) user's travel path, mode of transport, the type of the entity to be visited by the user and geofenced, and the user incentive for visiting the entity to be geofenced. The ambient context includes non-user specific information such as external conditions that may limit or thwart user mobility such as traffic and weather conditions. The rich context and crowd-sourced data assist in improving the spatiotemporal accuracy of suggested/constructed geofences thereby creating a “shaped” geofence that is sufficiently defined to approximate the shape of the entity being geofenced with some degree of accuracy.Type: ApplicationFiled: November 28, 2013Publication date: May 28, 2015Applicant: Microsoft CorporationInventors: Emmanouil Koukoumidis, Norm Bryar, Christopher Alme, Namita Parab, Stephen Lawler, Anthony Bice, Vanya Avramova