“Method And System For Automatically Providing Adapted Electronic Training Plans To Individuals Of A Targeted Group Of Individuals” in Patent Application Approval Process (USPTO 20230364473): Bull SAS

2023 NOV 30 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- A patent application by the inventor PATANKAR, Dheeraj (Pune, IN), filed on May 4, 2023, was made available online on November 16, 2023, according to news reporting originating from Washington, D.C., by NewsRx correspondents.

This patent application is assigned to Bull SAS (Les Clayes-sous-Bois, France).

The following quote was obtained by the news editors from the background information supplied by the inventors: “

“Field of the Invention

“At least one embodiment of the invention relates to health and safety and, more particularly, to a method and device for automatically providing adapted electronic training plans to individuals of a targeted group of individuals.

“Description of the Related Art

“In today’s world, lifestyle related problems severely cause productivity losses across multiple countries around the world. The estimated cost of such losses is in billions of euros for many countries (multiple references are available publicly). Health insurance claims and premiums have an increasing trend year over year, more so in post Covid situation.

“Many individuals are advised to remain physically active to manage stressful work lifestyles, reduce stress, strict diet control and increase immunity to sustain an acceptable productivity level. Typically, they take up endurance sports like cycling, running in mid-life age, often end up stretching limits, trying to mimic someone’s training plan, going through online material or false advice etc.

“Since the adaptation of an endurance activity is subjective to an individual’s physiology and anatomy, many of them face a risk of getting injured. The direct/indirect implication of such injuries is that an individual gets demotivated, causing further productivity loss.

“However, if monitored, controlled and guided accurately, research has shown that physical activities pay off well in the long run thereby improving the productivity of an individual year over year. In this regard, insurance service providers may for example offer add-on service to monitor, manage and guide to improve productivity to individuals, improve one’s overall health and get customer commitment in return.

“In one existing solution, people are advised to follow pre-determined training plans. However, these training plans are not necessarily adapted to each individual and may therefore prove not to be efficient.

“In another existing solution, people are advised to follow tailor-made training plans conceived by some medical staff. Therefore, in this solution, a tailor-made training plan must be created for each individual depending on their physiological features, which can be long and costly.

“It is therefore an object of at least one embodiment of the invention to provide a solution to remedy at least in part to these drawbacks.”

In addition to the background information obtained for this patent application, NewsRx journalists also obtained the inventor’s summary information for this patent application: “To this end, at least one embodiment of the invention concerns a method for automatically providing an electronic training plan to each individual of a targeted group of individuals called “irregulars”, said targeted group comprising individuals who do not perform at least one activity on a periodic basis, the targeted group being a part of a larger group called set of individuals, said set of individuals comprising another group called “regulars”, disjointed from the group of irregulars and comprising individuals who do perform at least one activity on a periodic basis, each individual of the set of individuals being characterized by a set of medical data and a set of physiological data, said set of physiological data comprising basic physiological data and dynamic physiological data, said basic physiological data and said medical data being stored in a database, said method comprising the steps, operated by a computer system, of:

“

“measuring dynamic physiological data of each individual of the set of individuals,

“sending said measured dynamic physiological data to said database via a communication network,

“associating, for each individual, their dynamic physiological data with their basic physiological data and their medical data,

“collecting a data subset of the set of physiological data and a data subset of the set of medical data for each individual of the set of individuals, said medical data subset comprising preferably at least the age and the weight of each individual,

“for each individual of the group of regulars, determining in the collected physiological data subset the data which are correlated with peak performances and deriving parameters associated with the determined peak performances data,

“determining a plurality of subsets of the set of individuals, called “classes”, based on the medical data subset and/or the basic physiological data of each individual in order to group individuals at least by age and/or weight categories,

“generating, for each class, a common electronic training plan based on the derived parameters of the regulars of said class,

“sending to each class, via the communication network, said electronic training plan to the irregulars of said class.

“

“Regulars are people who have a regular activity, preferably at least one activity every week, preferably for at least one hour, preferably for at least four weeks in a row. Irregulars are people who have an irregular activity, i.e. who do not have a regular activity. In at least one embodiment, irregular activity is characterized by a frequency of less than once a week over several weeks in a row, preferably at least four weeks in a row.

“Medical data comprises at least the age of the individual. In at least one embodiment, the set of medical data also comprises the weight, the height, the gender and/or other medical-related data such as e.g. medical conditions like blood pressure, diabetes, hypertension, weekday and weekend work hours, work role, frequent health check-ups or doctor visits, prior procedures (any surgeries), unwell leaves, unscheduled leaves due to frequent illness, chronic conditions developed over the years, emergency hospital visits, unexpected shoot up in blood pressure or sugar levels.

“Basic physiological data give an indication of the level of activity of the individual and may comprise an estimation of the activity habits of the individual like e.g. how many times a week the individual performs a sport activity, how many steps the individual walk each day, or any type of activity habit that may help to estimate whether the individual perform activities on a regular basis or not.

“Dynamic physiological data are physiological data that are measured using sensors during an activity like a number of steps, a speed, a climbing height, etc.

“A subset of data can be the whole set of data.

“A parameter associated to a data correspond to the type of data.

“The method according to one or more embodiments of the invention allows to generate and provide a training plan to people needing more activity based on data measured for people who do regularly have an activity. The method, in at least one embodiment, allows to provide a tailor-made training plan to irregulars based on data associated to regulars. The method, in at least one embodiment, may be used within the framework of health insurance to provide adapted rates and policies to customer based on their improvements using the electronic training plan.

“In at least one embodiment, a periodic basis is at least once a week.

“In at least one embodiment, the electronic training plan comprises the type and the frequency of activity/activities to perform.

“According to one or more embodiments of the invention, each individual of the set of individuals being associated with a set of basic physiological data, the method comprises a preliminary step of separating the individuals of the set of individuals using the sets of basic physiological data of said individuals to define the group of regulars and the group of irregulars.

“In at least one embodiment, the method comprises a step of collecting a set of basic physiological data e.g., using a survey or questionnaire, preferentially periodically, for example every year.

“In at least one embodiment, the method comprises a step of collecting a set of medical data, e.g., using a survey or questionnaire, preferentially periodically.

“In at least one embodiment, the method comprises, subsequently to the generation of a common electronic training plan for the irregulars of a class, a step of tuning said common electronic training plan for each irregular of said class using the physiological data subset and/or the medical data subset of said irregular.

“In at least one embodiment, the method comprises measuring dynamic physiological data of each individual of the set of individuals using at least one measurement module, preferably a plurality of measurement modules.

“In at least one embodiment, the method comprises measuring dynamic physiological data of each individual of the set of individuals on a periodic basis to update said data regularly, for example at least once a week.

“In at least one embodiment, the method comprises monitoring specifically dynamic physiological data of the irregulars and suggesting improved electronic training plan based on the monitored dynamic physiological data.

“In at least one embodiment, the method is used for managing insurance contracts of a set of individuals.

“One or more embodiment of the invention also relate to a computer program comprising instructions which, when the program is executed by a computer, cause the computer to carry out the steps of the method as described here before.

“At least one embodiment of the invention also relates to a computing device, for example a computer or a smartphone, for automatically providing an electronic training plan to each individual of a targeted group of individuals called “irregulars”, said targeted group comprising individuals who do not perform at least one activity on a periodic basis, the targeted group being a part of a larger group called set of individuals, said set of individuals comprising another group called “regulars”, disjointed from the group of irregulars and comprising individuals who do perform at least one activity on a periodic basis, each individual of the set of individuals being characterized by a set of medical data and a set of physiological data, said set of physiological data comprising basic physiological data and dynamic physiological data, said device being configured to be operatively coupled to a database comprising for each individual said set of basic physiological data and said of medical data, and to:

“

“receive, via a communication network, a data subset of the set of physiological data and a data subset of the set of medical data for each individual of the set of individuals, said medical data subset comprising at least the age and the weight of each individual,

“for each individual of the group of regular, determine in the collected physiological data subset the data which are correlated with peak performances and deriving the parameters associated with the determined peak performances data,

“determine a plurality of subsets of the set of individuals, called “classes”, based on the medical data subset and/or the basic physiological data of each individual in order to group individuals at least by age and/or weight categories,

“generate, for each class, a common electronic training plan based on the derived parameters of the regulars of said class,

“send to each class, via the communication network, said electronic training plan to the irregulars of said class.

“

“In at least one embodiment, each individual of the set of individuals being associated with a set of basic physiological data, the device is configured to retrieve at least basic physiological data for each individual of the set of individuals from the database and to separate the individuals of the set of individuals using said sets of basic physiological data of said individuals to define the group of regulars and the group of irregulars.

“In at least one embodiment, the device is configured to collect a set of basic physiological data from each individual of the set of individuals and store said set in the database using a survey or a questionnaire, preferably on a periodical basis.

“In at least one embodiment, the device is configured, subsequently to the generation of a common electronic training plan for the irregulars of a class, to tune said common electronic training plan for each irregular of said class using the physiological data subset and/or the medical data subset of said irregular.

“In at least one embodiment, the device is configured to measure dynamic physiological data of each individual of the set of individuals using at least one measurement module, preferably a plurality of measurement modules.”

There is additional summary information. Please visit full patent to read further.”

The claims supplied by the inventors are:

“1. A method for automatically providing an electronic training plan to each individual of a targeted group of individuals comprising a group of irregulars, said targeted group comprising individuals who do not perform at least one activity on a periodic basis, the targeted group being a part of a larger group called set of individuals, said set of individuals comprising a group of regulars, disjointed from the group of irregulars and comprising individuals who do perform at least one activity on a periodic basis, each individual of the set of individuals being characterized by a set of medical data and a set of physiological data, said set of physiological data comprising basic physiological data and dynamic physiological data, said basic physiological data and said set of medical data being stored in a database, wherein said method is operated by a computer system, and wherein said method comprises: measuring said dynamic physiological data of each individual of the set of individuals, sending said dynamic physiological data that is measured to said database via a communication network, associating, for said each individual of the set of individuals, their dynamic physiological data with their basic physiological data and their medical data, collecting a data subset of the set of physiological data and a data subset of the set of medical data for said each individual of the set of individuals, said data subset of the set of medical data comprising at least an age and a weight of said each individual, for each individual of the group of regulars, determining in the data subset of the set of physiological data that is collected data which are correlated with peak performances data and deriving parameters associated with the peak performances data that is determined, determining a plurality of subsets of the set of individuals, comprising classes, based on one or more of the data subset of said set of medical data and the basic physiological data of said each individual of the set of individuals in order to group individuals at least by one or more of said age and said weight, generating, for each class of said classes, a common electronic training plan based on the parameters that are determined of the group of regulars of said each class, sending to said each class, via the communication network, said electronic training plan to the group of irregulars of said each class.

“2. The method according to claim 1, wherein said each individual of the set of individuals is associated with a set of basic physiological data, wherein said method further comprises a preliminary step of separating the individuals of the set of individuals using the set of basic physiological data of said each individual of said individuals to define the group of regulars and the group of irregulars.

“3. The method according to claim 1, further comprising collecting a set of basic physiological data and said set of medical data.

“4. The method according to claim 1, further comprising, subsequently to the generating the common electronic training plan for the irregulars of a class, tuning said common electronic training plan for each irregular of said class using one or more of the data subset of said set of physiological and the data subset of said set of medical of said each irregular.

“5. The method according to claim 1, further comprising measuring said dynamic physiological data of said each individual of the set of individuals using at least one measurement module.

“6. The method according to claim 1, further comprising measuring said dynamic physiological data of said each individual of the set of individuals on a periodic basis to update said data regularly, comprising updating said data at least once a week.

“7. The method according to claim 1, further comprising monitoring specifically said dynamic physiological data of the individuals of the group of irregulars and suggesting improved electronic training plan based on the dynamic physiological data that is monitored.

“8. The method according to claim 1, wherein said method is implemented by a non-transitory computer program comprising instructions which, when the non-transitory computer program is executed by a computer, cause the computer to implement said method.

“9. A computing device that automatically provides an electronic training plan to each individual of a targeted group of individuals comprising a group of irregulars, said targeted group comprising individuals who do not perform at least one activity on a periodic basis, the targeted group being a part of a larger group called set of individuals, said set of individuals comprising a group of regulars, disjointed from the group of irregulars and comprising individuals who do perform at least one activity on a periodic basis, each individual of the set of individuals being characterized by a set of medical data and a set of physiological data, said set of physiological data comprising basic physiological data and dynamic physiological data, said computing device being configured to be operatively coupled to a database comprising for said each individual said set of physiological data and said set of medical data, said computing device comprising: a computer or a server, wherein said computer or said server is configured to receive, via a communication network, a data subset of the set of physiological data and a data subset of the set of medical data for said each individual of the set of individuals, said data subset of the set of medical data comprising at least an age and a weight of said each individual, for each individual of the group of regulars, determine in the data subset of the set of physiological data that is received data which are correlated with peak performances and derive parameters associated with the peak performances, determine a plurality of subsets of the set of individuals, comprising classes, based on one or more of the data subset of the set of medical data and the basic physiological data of said each individual in order to group said individuals at least by one or more of said age and said weight, generate, for each class of said classes, a common electronic training plan based on the parameters of the group of regulars that are determined of said each class, send to said each class, via the communication network, said electronic training plan to the group of irregulars of said each class.

“10. The computing device according to claim 9, wherein said each individual of the set of individuals is associated with a set of basic physiological data, wherein said computer or said server is further configured to retrieve at least said basic physiological data for said each individual of the set of individuals from the database and to separate the individuals of the set of individuals using said set of basic physiological data of said each individual of said set of individuals to define the group of regulars and the group of irregulars.

“11. The computing device according to claim 9, wherein said computer or said server is further configured to collect said set of physiological data from said each individual of the set of individuals and store said set of physiological data in the database.

“12. The computing device according to claim 9, wherein said computer or said server is further configured, subsequently to said generate said common electronic training plan for the group of irregulars of said each class, to tune said common electronic training plan for each irregular of said each class using one or more of the data subset of said set of physiological data and the data subset of said set of medical data of said each irregular.

“13. The computing device according to claim 9, wherein said computer or said server is further configured to monitor specifically the basic physiological data of the individuals of the group of irregulars and suggest improved electronic training plan based on the dynamic physiological data that is monitored.

“14. The computing device according to claim 9, further comprising the database.”

There are additional claims. Please visit full patent to read further.

URL and more information on this patent application, see: PATANKAR, Dheeraj. Method And System For Automatically Providing Adapted Electronic Training Plans To Individuals Of A Targeted Group Of Individuals. U.S. Patent Application Number 20230364473, filed May 4, 2023 and posted November 16, 2023. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(20230364473)&db=US-PGPUB&type=ids

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