Abstract: A system and method of providing nutritional data for a user is disclosed herein. The method includes receiving a selected restaurant from a health tracking device, and providing menu data for the user based on the selected restaurant. The method further includes receiving a selected menu item from the health tracking device, associating the selected menu item with a plurality of food items in a database, and providing the plurality of food items for the user. Furthermore, the method includes receiving a selected one of the plurality of food items from the health tracking device, and providing nutritional data based on the selected one of the plurality of food items.

Abstract: System and method for recipe discovery and consumption logging. Improved solutions enable intelligent management of a user's personal fitness journey i.e., based on their overall health in their exercise and dietary habits. In one exemplary embodiment, recipes may be curated and tagged from a variety of sources such as health and fitness blogs and/or other articles of interest. Recipe tagging ensures that users can retrieve only the specific recipes of interest to them from a variety of sources which may be focused on the public at large. Additionally, the recipe discovery and consumption logging interface may enable users to log actual consumption activity for a selected recipe, including ad hoc user modifications to recipe ingredients.

Abstract: System and method for coaching based on workout history and/or readiness/recovery information. Improved solutions enable intelligent management of a user's personal fitness journey based on workout recommendations that closely align with the user's traits. In one exemplary embodiment, workout data for a population of different individuals is analyzed to identify groups of similarly performing individuals. Each group of individuals is analyzed to generate an expected profile that approximates the physiological and/or psychological traits of the group. An expected profile includes heuristics and/or performance metrics that enable dynamic coaching during workouts. Subsequently thereafter, users can be dynamically coached by their client device, based on the expected profile.

Abstract: A method of operating a health tracking system is disclosed. The method comprises: storing a food knowledge graph having a plurality of labels describing consumable items and a plurality of relationships between pairs of labels, some of the labels being generic names for consumable items; receiving a data record having a descriptive string regarding a consumable item from a first health tracking device; matching the descriptive string to at least one label in the plurality of labels; and updating one or more information fields of the data record to associate the data record with the at least one label to which the descriptive string was matched. In some embodiments, the method further includes receiving a request for data records from a health tracking device and matching the request to the plurality of labels to provide an improved response to the request for data records.

Abstract: A method and system for providing more relevant search results and recommendation from a food database is disclosed. The method includes receiving a query, a first candidate food, and a second candidate food. The method includes generating vectors based on the query and food names of the first and second candidate foods using at least one embedding function of a machine learning model. The method includes determining nutrition content vectors from the nutritional data of the first and second candidate foods. The method includes generating a nutrition content vector based on the query using another embedding function of the machine learning model. The method includes determining which of the first and second candidate food is more relevant to the query based at least in part on the nutrition content vectors. The method includes providing search results or recommendation based on the determined relevance.

Abstract: Systems, apparatus, and methods for media playback based on cue points. Various embodiments of the present disclosure are directed to instructional media components (e.g., video, audio, and/or text) that focus the user's attention on details of proper form. The cue point navigation system enables the user to navigate the instructional media according to specific movement cues. Notably, the UI minimizes navigational complexity, while simultaneously maximizing user comprehension. As described in greater detail herein, hybrid media playback advantageously provides the user with different ways to absorb the instructional information.

Abstract: Methods for calculating nutrient content information. In one embodiment, the methods comprise: receiving a recipe having a list of ingredients and quantities, for each of the ingredients a corresponding record is found within a database of known records, the records are associated to quantities and nutritional values. The units of measurement of the recipe ingredients and the identified record are compared. When the units are the same, no conversion is performed. When the units are different, the units of the known record are converted using a conversion factor derived from a relationship between the differing units of measurement. In one variant, the conversion factor may be identified from a table of conversion factors relating various units of measurement to one another. Finally, the converted or the known nutritional values are multiplied by a ratio of the quantity of the ingredient in the recipe to the quantity of the known record.

Abstract: System and method for coaching based on workout history. Improved solutions enable intelligent management of a user's personal fitness journey based on workout recommendations that closely align with the user's traits. In one exemplary embodiment, workout data for a population of different individuals is analyzed to identify groups of similarly performing individuals. Each group of individuals is analyzed to generate an expected profile that approximates the physiological and/or psychological traits of the group. An expected profile includes heuristics and/or performance metrics that enable dynamic coaching during workouts. Subsequently thereafter, user's can be dynamically coached by their client device, based on the expected profile.

Abstract: A method of providing workout training for a user of an activity tracking system includes displaying a plurality of training plan options to the user on a screen of a personal electronic device, and then receiving a selected training plan option from the user. Selected workout day options are received from the user and the system generates a training schedule for the user based on the selected training plan and the selected workout day options. One or more reminders identify the type of workout for the scheduled day and an option to accept or reject the workout. When the user selects the option to accept the workout, the workout goal associated with the scheduled workout is displayed. The method further includes determining progress toward the workout goal based on the received workout data, and displaying an indicator of progress toward the workout goal on the screen during the workout.

Abstract: Disclosed embodiments include apparatuses, methods and storage media associated with modifying a food record database. The method comprises receiving a plurality of food records from a plurality of sources, each of the plurality of food records comprising at least a food record description, the plurality of sources including (i) at least one non-user entity that is an owner of a third party food database and (ii) users of the food record database. The method further comprises receiving search requests from users, and returning one or more top search results from the food record database in response. The method also comprises determining a score for a particular food record identified by the top search results, wherein the score is calculated based at least in part on one of: a number of times the particular food record has been included in the top search results of the search requests or a number of times the particular food record has been logged.

Abstract: A method of operating a food categorization engine includes extracting features from each text description of a training food data set to generate a feature set. The feature set is analyzed to determine sets of food categorization features that correlate to one or more food categories, wherein the sets of food categorization features are defined by a plurality of category vectors. Individual words and/or characters of a text description of a food item received from a user are then analyzed in order to generate a numerical vector representative thereof. The numerical vector is multiplied by a matrix defined by the plurality of category vectors. One or more food categories with which to associate the received food item are automatically selected based at least in part on the multiplication, and the data record associated with the food item is amended to include the selected food categories.

Abstract: A method of operating a health tracking system is disclosed. The method comprises: receiving a first data record comprising at least a first descriptive string regarding a consumable item, the first descriptive string having at least one word thereof incorrectly spelled; generating a vector using the first descriptive string using a machine learning model; identifying a second descriptive string which corresponds to the consumable item and which has a correct spelling of the at least one incorrectly spelled word by applying the machine learning model to the generated vector; calculating a confidence factor regarding the identified second descriptive string using the machine learning model; and when it is determined that the confidence factor exceeds a predetermined threshold, (i) modifying the first data record by replacing the first descriptive string with the second descriptive string, and (ii) storing the modified first data record in the database.

Abstract: A method of operating a fitness tracking system including a plurality of sensors is disclosed herein. The method includes mounting a biometric monitoring device on an article of apparel worn by a user. The method further includes receiving a prompt indicating that the user intends to provide a verbal cue via a microphone provided on the biometric monitoring device. After receiving the verbal cue from the user one of a plurality of exercise modules is selected for execution by the processor. Each of the plurality of exercise modules is configured to generate workout metrics based at least in part on physiological data received from a first of the plurality of sensors without regard to physiological data from a second of the plurality of sensors. The selected exercise module generates workout metrics for the user for a limited period of time ranging from selection of the exercise module until occurrence of a termination event.

Abstract: Systems, apparatus, and methods for managing workouts via exercise specific user interface elements. Various embodiments of the present disclosure are directed to exercise specific user interface elements (e.g., floating smart timers, etc.) that are automatically pre-populated with data based on prescribed workout information. The user is provided a workout that includes a number of different exercises, and their prescribed completion values. The user can perform the workout and quickly log the pre-populated completion values (if accurate), or alternatively manually enter actual workout data. Additionally, the user can quickly transition through their “checklist” of exercises, based on the prescribed ordering of the workout. The resulting workout data record can be automatically logged at the end of the workout session. The exercise specific user interface allows a user to log workout activity with minimal distraction.

Abstract: Apparatus and methods are provided for enabling a sensor device to receive and transmit updates effectively via one or more rules applied to a plurality of event records for transmission by an event management server. In one exemplary embodiment, the event management server manages the plurality of event records (such as records of deletions or updates to a user's profile or goals), via an event suppression application. The event suppression application ensures that event records are not redundantly provided to the sensor device and/or irrelevant records (such as those which no longer contain the most up-to-date information) are not provided to the sensor device. Hence, only the most relevant event records are provided and that those which are not relevant are ignored (not transmitted). In this manner, the sensor device may operate more efficiently to receive only the most relevant transmissions.

Abstract: System and method for recipe discovery and consumption logging. Improved solutions enable intelligent management of a user's personal fitness journey i.e., based on their overall health in their exercise and dietary habits. In one exemplary embodiment, recipes may be curated and tagged from a variety of sources such as health and fitness blogs and/or other articles of interest. Recipe tagging ensures that users can retrieve only the specific recipes of interest to them from a variety of sources which may be focused on the public at large. Additionally, the recipe discovery and consumption logging interface may enable users to log actual consumption activity for a selected recipe, including ad hoc user modifications to recipe ingredients.

Abstract: Systems, apparatus, and methods for training plan delivery and workout logging. In one embodiment of the present disclosure, a fitness tracking system and/or community of personal devices: (i) generates a training plan, (ii) schedules and coordinates delivery of workouts based on the training plan, and (iii) notifies the user of workouts via one or more wearables. In one exemplary embodiment, a fitness tracking system generates a training plan based on user workout history and/or user input. Thereafter, suggested workouts can be pushed to the user's community of personal devices, via a coordinating device (e.g., a smart phone). The coordinating device manages and controls workout notifications for any available coordinated devices (e.g., smart watches, smart shoes, etc.) Unlike previous systems, the disclosed embodiments of the present disclosure integrate a community of different personal devices together so as to capture activity tracking data regardless of what a user is wearing.

Abstract: A method for decreasing a number of individual entries in a database of user-created records which describe a single item by: receiving a plurality of user-created records, each of said records comprising at least a descriptive string; placing individual ones of the plurality of user-created records having a sufficiently similar descriptive string into one of a plurality of first groups; hashing the descriptive string of each of the plurality of first groups in order to place two or more groups into a single bin; performing a pair-wise comparison of the descriptive strings of the two or more groups in each bin; and when the comparison of the descriptive strings of the two or more groups in a bin results in a distance below a first threshold, merging the two or more groups into a combined group.

Abstract: Methods and apparatus for nutrition tracking. In one exemplary embodiment, a methods and apparatus for nutrition tracking are provided which receive selections of consumable items from a user, identify at least one item to be purposefully omitted in nutrition calculation, and calculate total nutrition for a period of time based on the selections. The calculation comprises purposeful omission of the nutritional data of the identified at least one of the plurality of consumable items. In order to accomplish the calculation, each of the selected items is associated with a data record in a database, each data record in the database comprising nutritional data regarding a consumable item to which the data record corresponds.

Abstract: System and method for associating user-entered consumable item description to an entry in a consumable item database. In one embodiment, formally structured restaurant menu item is matched to a large database of food items that has been constructed via crowd-sourcing. A novel, practical, and scalable machine learning solution architecture, consisting of two major steps is utilized. First a query generation approach is applied, based on a Markov Decision Process algorithm, to reduce the time complexity of searching for matching candidates. That is then followed by a re-ranking step, using deep learning techniques, to ensure matching quality goals are met.