International Business Machines Corporation

Under Armour, Inc.

Christopher Andrew Peters

Lorin Ullmann

Craig M Lawton

Alberto Giammaria

Vijay Kumar Aggarwal

John Patrick Whitfield

Thomas Spatzier

Puthukode G Ramachandran

William Quast

Liliana Orozco

Patricia Diana Griffin

P G Ramachandran

James Russell Boykin

David Werner Bachmann

Kaitlyn Carpenter

Raymond Paul Pekowski

Conrad Stoll

Allan Glen

Joshua Dale

Julia Lu

J Russell Boykin

Suraj Bhattarai

Corey Roberts

Skyler Whittlesey

Uzi Hardoon

Atherton Brant Winterbottom

Brian Lewis

Martin T Moore

Robert L Orr

Bethany Lyn Kessen

Mark Wallace Johnson

Jonathan Andrew Lewis

Jesse B Overby, Iii

A system and method for automatically trimming and reclassifying workout data is disclosed. The system receives data associated with a workout of a user from at least one sensor associated with the user, the workout being classified as a first type of workout. The system processes the data to identify at least one time interval during the workout that does not correspond to the first workout type. The system prompts the user to select whether to remove or reclassify a subset of the data that is associated with the identified time interval. If the user chooses to do so, the system removes or reclassifies the subset of the data that is associated with the identified time interval. The system generates and provides workout depictions using the data, at least one of which illustrates only the remaining data that was not removed or reclassified.

Automatic trimming and classification of activity data

A method for providing activity data to a user for a workout session includes receipt of first activity data from a first activity sensor and receipt of second activity data from a second activity sensor during the workout session. A first parameter is generated for a workout attribute based on the first activity data received during a first time interval of the workout session, and a second parameter is generated for the workout attribute based on the second activity data received during a second time interval of the workout session. An aggregate parameter for the workout attribute is generated based on both the first parameter and the second parameter. The first activity data and the second activity data generated during the workout session are transmitted to a remote server where a third parameter for the workout attribute is generated.

Activity tracking system with multiple monitoring devices

Extension patterns are deployed to core deployment patterns stored in a first software repository. An event relating to registration of a component is detected. In response to detecting the event, a tool registry can be queried to identify one or more extension deployment patterns for use with one or more core deployment patterns. Based upon the query, one or more extension deployment components can be retrieved from a second software repository. The one or more extension deployment components can be deployed on top of one or more instances of the one or more core deployment patterns.

Extensions for deployment patterns

Near clones for a set of targeted computing systems are provided by determining a highest common denominator set of components among the computing systems, producing a pseudo-clone configuration definition, and realizing one or more pseudo-clone computing systems as partially configured backups for the targeted computing systems. Upon a planned failover, actual failure, or quarantine action on a targeted computing system, a difference configuration is determined to complete the provisioning of the pseudo-clone system to serve as a replacement system for the failed or quarantined system. Failure predictions can be used to implement the pseudo-clone just prior to an expected first failure of any of the targeted systems. The system can also interface to an on-demand provisioning management system to effect automated workflows to realize pseudo-clones and replacement systems automatically, as needed.

Creation of highly available pseudo-clone standby servers for rapid failover provisioning

A method for modification of search subjects in a set of predictive search terms in which a set of search terms from a user is received and communicated to a search engine. One or more sets of predictive search terms from the search engine based on the set of search terms is received from the search engine and one or more search subjects within the one or more sets of predictive search terms is identified. A plurality of set of predictive search terms, where the one or more search subjects are displayed differently from other displayed terms is displayed and the user is presented with an option to modify the one or more search subjects. A modified search subject is received and a modified search sentence comprising the set of search terms, and one or more of the predictive search terms and the modified search subject is displayed.

Modification of search subject in predictive search sentences

A method is provided for tracking fitness data. A server device receives a first instance of fitness data from a first device and a second instance of fitness data from a second device. The fitness data comprises information about exercise activity of a user. The server determines that the first instance of the fitness data was received from the first device and that the second instance of the fitness data was received from the second device. The server selects a preferred instance of the fitness data comprising one of the first instance of the fitness data or the second instance of the fitness data based on a classification of the first instance and the second instance. The server incorporates the preferred instance of the fitness data into a fitness profile of the user.

Hierarchical de-duplication techniques for tracking fitness metrics

A computer implemented method for modification of search subjects in a set of predictive search terms in which a set of search terms from a user is received. One or more sets of predictive search terms generated and one or more search subjects within the one or more sets of predictive search terms is identified and communicated to the user. A modified search subject is received from the user in response to presenting the use with an option to modify the one or more search subjects. Furthermore the modified search sentence comprising the set of search terms and predictive search terms or modified search terms is searched.

Growing community of inventors

Round Rock, TX, United States of America

Christopher Andrew Peters