SYSTEM AND METHODS EMBODYING THE CALORIBRATE© CONCEPT AND THE CALORIBRATION RATING© PROCESS

Caloribrate@ is a term that can be used in connection with the system and methods disclosed herein, which in some embodiments involves calibrating a building by measuring the physical activity of its inhabitants using biosensing equipment such as activity monitors commercialized under trademarks such as FITBIT®, GARMIN®, APPLE®, OURA®, and WHOOP®. All movements of subjects can be mapped in a physical zone (e.g., building), and the calories consumed, and heartbeats expended in making those movements can be calculated. Then a measure is derived to arrive at a physical zone (e.g., building) rating based on the Caloribrate@ concept and a Caloribration Rating@ process, which can be used to classify physical zones (e.g., buildings) based on how well they support physical activity. This can be used as a predictive tool that indicates the potential for physical activity in a building, thereby indicating its viability to make subjects healthier.

FEDERALLY SPONSORED RESEARCH AND DEVELOPMENT

The invention described in this application was developed with federal funds provided through a grant from the National Institutes of Health under grant No. P20 GM 103442 and documented in a National Institutes of Health invention report with EIR No. 6091701-22-0007. The National Institutes of Health may hold rights to the invention disclosed herein.

PRIOR ART

The invention disclosed herein was publicly disclosed for the first time using a research poster on Aug. 5, 2022. The research poster is included in this application asFIG.1. Two other research posters with subsequent reductions to practice of the invention disclosed herein, were submitted to the National Institutes of Health as part of grant reporting requirements. These research posters are also included in this application asFIG.2andFIG.3. Numerical ratings of physical zones to indicate their potential for promoting health and wellness have been developed in other forms, by institutions such as the International Well Building Institute and the International Living Future Institute. These two institutes have developed the WELL Building Standard and the Living Building Challenge standards respectively. The invention disclosed herein comprises an original set of processes that has no precedent in the prior art embodied in the standards referenced above.

BACKGROUND OF THE INVENTION

The subject matter disclosed herein generally relates to evaluating, designing, constructing, and operating buildings and other physical zones. The subject matter disclosed herein also relates to the rating of buildings and other physical zones for their performance in facilitating health and wellness. Certain embodiments of the subject matter disclosed herein relate to predicting the likelihood for health and/or healthy behavior of subjects in buildings and other physical zones using biosensing equipment. Examples of physical zones include buildings and defined geographical areas, such as, for example, a neighborhood, a city block, a park, a city, or a state.

SUMMARY OF THE INVENTION

Caloribrate@ is a term that can be used in connection with the system and methods disclosed herein, which in some embodiments involves calibrating a building by measuring the physical activity of its inhabitants using biosensing equipment such as activity monitors commercialized under trademarks such as FITBIT®, GARMIN®, APPLE®, OURA®, and WHOOP®. All movements of subjects can be mapped in a physical zone (e.g., building), and the calories consumed, and heartbeats expended in making those movements can be calculated. Then a measure is derived to arrive at a physical zone (e.g., building) rating based on the Caloribrate@ concept and a Caloribration Rating@ process, which can be used to classify physical zones (e.g., buildings) based on how well they support physical activity. This can be used as a predictive tool that indicates the potential for physical activity in a building, thereby indicating its viability to make subjects healthier.

DETAILED DESCRIPTION OF THE INVENTION

Caloribrate@ is a term that can be used in connection with the methods and systems disclosed herein, which in some embodiments involves calibrating a building by measuring the physical activity of its inhabitants using biosensing equipment such as activity monitors commercialized under trademarks such as FITBIT®, GARMIN®, APPLE®, OURA®, and WHOOP®. All movements of subjects can be mapped in a physical zone (e.g., building), and the calories consumed, and heartbeats expended in making those movements can be calculated. Then a measure is derived to arrive at a physical zone (e.g., building) rating based on the Caloribrate@ concept and a Caloribration Rating@ process, which can be used to classify physical zones (e.g., buildings) based on how well they support physical activity. This can be used as a predictive tool that indicates the potential for physical activity in a building, thereby indicating its viability to make subjects healthier.

The invention disclosed herein comprises a system with four integrated methods. The four methods are (a) A method that is used to extract information about the physical features of a physical zone; (b) A method that is used to measure the biophysical responses of subjects inhabiting the physical zone using biosensing equipment; (c) A method that is used to analyze and process the measurements made in method (b); and (d) A method that is used to calibrate the physical zone with a numerical rating using the data in method (c). These four integrated methods are described in detail inFIG.1,FIG.2, andFIG.3. In addition, a detailed description of the system and its methods is described as a step-by-step process in Appendix A, which is included in this application.

The four methods referenced in [0020] are grouped into three phases: (a) data gathering; (b) data analysis; and (c) performance rating.

The data-gathering phase of the calibration of a physical zone referenced in [0021] begins with the creation of a set of descriptive representations of the physical zone in the form of dimensioned drawings, which may be created in an analog or digital medium.

The next step that follows [0022] is to map various activities of inhabitants of the physical zone in the representations of the physical zones, for example, the various journeys that can be performed in the physical zone can be mapped on the dimensioned drawings. The journeys are represented with color-coded lines to identify the type of inhabitant making the journey.

The next step that follows [0023] is to measure the various paths for the journeys mapped in the dimensioned drawings and record the distances for the journeys, keeping in mind that journeys can continue onto another floor by utilizing a staircase or an elevator.

The next step that follows [0024] is for a subject to walk those paths and record their biophysical responses using wearable biosensing equipment. Biophysical responses are physical quantities related to a functioning human body and are recorded as temperature, blood pressure, energy consumed (calories), steps taken (distance traveled), and heart rate (which is a frequency). The biophysical responses of subjects that are recorded using the biosensing equipment are tabulated in a spreadsheet in order to calculate summary measurements such as averages and totals. An example of the tabulation of data collected from a subject in a physical zone is shown inFIG.10.

The data-analysis phase referenced in [0021] begins with the calculation of the average data for the calories burned, steps taken, and changes in heart rate, considering all the sample journeys made by a subject. There are three scores to be computed in this phase: (a) the Probability score, (b) the Magnitude score, and (c) the Effectiveness score.

The performance-rating phase takes the scores derived in the data-analysis phase referenced in [0021] and uses a formula to compute a final numerical rating for the physical zone.

The invention disclosed herein includes methods for predicting the likelihood for the health of a subject in a physical zone, which involves the steps of determining a probability score as disclosed herein; determining a magnitude scale as disclosed herein; and determining an effectiveness score as disclosed herein. The invention disclosed herein further includes a system for performing steps of the methods for predicting the likelihood for the health of a subject in a physical zone, as disclosed herein.

Examples of physical zones that can be assessed using the methods and systems as disclosed herein include but are not limited to, a building, a neighborhood, a city block, a park, a city, and a state. Health can be related to overall health, including the behaviors of subjects in the physical zone and environmental factors specific for the physical zone. In some embodiments, health refers to healthy behaviors. In some embodiments, health refers to physical activity.

Additional environmental factors can be used in an assessment. For example, in the case of a physical zone that is a building, additional environmental factors could include indoor air quality and lighting levels. These factors can be incorporated into the Caloribration Rating@ process to make a robust assessment of the viability of a building to improve a subject's health.

Based on this rating, physical zones such as buildings can be identified as more or less healthy to occupy. The rating can be applied when designing or renovating a physical zone such as a building. For example, it could be used to guide the training and work of architects.

While the terms used herein are believed to be well understood by those of ordinary skill in the art, specific definitions are set forth to facilitate an explanation of the subject matter disclosed herein.

All patents, patent applications, published applications and publications, databases, websites and other published materials referred to throughout the entire disclosure herein, unless noted otherwise, are incorporated by reference in their entirety.

Where reference is made to a URL or other such identifier or address, it is understood that such identifiers can change and particular information on the internet can come and go, but equivalent information can be found by searching the internet. Reference thereto evidences the availability and public dissemination of such information.

Although any methods, devices, and materials similar to or equivalent to those described herein can be used in the practice or testing of the subject matter disclosed herein, representative methods, devices, and materials are described herein.

The present application can “comprise” (open-ended) or “consist essentially of” the components of the present invention as well as other ingredients or elements not described herein. As used herein, “comprising” is open-ended and means the elements recited, or their equivalent in structure or function, plus any other element or elements which are not recited. The terms “having” and “including” are also to be construed as open-ended unless the context suggests otherwise.

As used herein, the term “about,” when referring to a value or to an amount of mass, weight, time, volume, concentration or percentage is meant to encompass variations of in some embodiments ±20%, in some embodiments ±10%, in some embodiments ±5%, in some embodiments ±1%, in some embodiments ±0.5%, in some embodiments ±0.1%, in some embodiments ±0.01%, and in some embodiments ±0.001% from the specified amount, as such variations are appropriate to perform the disclosed method.

As used herein, “optional” or “optionally” means that the subsequently described event or circumstance does or does not occur and that the description includes instances where said event or circumstance occurs and instances where it does not. For example, an optionally variant portion means that the portion is variant or non-variant.

The invention disclosed herein is further illustrated by a specific but non-limiting example. The example may include compilations of data that are representative of data gathered at various times during the course of development and experimentation related to the invention disclosed herein.

EXAMPLE

Finally, for further explanation of the features, benefits, and advantages of the invention disclosed herein, attached is the following Appendix, which is incorporated herein by this reference:1. Appendix A: A detailed description of the system and its methods as a step-by-step process.

It will be understood that various details of the invention disclosed herein can be changed without departing from the scope of the subject matter disclosed herein. Furthermore, the foregoing description in Appendix A is for the purpose of illustration only, and not for the purpose of limitation.

Appendix A: A Detailed Description of the System and its Methods as a Step-By-Step Process

Step-by-step methodology for the calibration of a physical zone using a numerical rating that indicates the potential of the physical zone to facilitate the health and/or healthy behavior of subjects inhabiting the said physical zone.

A. Data Gathering Process

1. Create CAD files of all floorplans for a given building or physical zone.
2. Categorize rooms or spaces based on user type.
3. Connect rooms or spaces together using lines as paths.
4. Measure the length of each path made.
5. Create a unique identifier for each path.
6. Record each path's identifier, length, and elevation change in a spreadsheet.
7. Walk the length of each path and record the following using biosensing equipment such as a Fitbit wearable device:Start and end step count.i. Is step data valid? Else, repeat the journey.Start and end heart rate.i. Is heart rate data valid? Else, repeat the journey.Start and end calorie expenditure.i. Is calorie data valid? Else, repeat the journey.
8. Tabulate the data gathered for all the journeys in a spreadsheet using a format such as the one shown below in TABLE 1:

B. Data Analysis Process

1. Determine probability scorea. Calculate the combinations for all possible journeys in the building or physical zone (nCr) for all floor and space combinations (n=total rooms, r=2 for individual segment journeys, 3-4 for composite journeys).b. Calculate the combinations of all viable journeys (nCr) for all floor and space combinations, with n being total number of viable journey destination rooms or spaces.c. Divide the sum of the viable journeys (nCr calculations) by the sum of the total journeys (nCr calculations) to arrive at the probability score.

This process is illustrated inFIG.11.

2. Determine magnitude scoresa. Compute combinations (nCr) for viable journeys for all floor and space combinations including composite journeys.b. Multiply journeys between floors by two to account for paths up and down the stairs.c. Calculate the sum of all combinations (nCr) for viable journeys in the building and multiply by:i. Average steps taken.ii. Average calories burned.iii. Average Heart Rate change.d. Record the data in step c. for each data type (steps taken, calories burned, and heart rate change) as the Total Magnitude. Tabulate the data using a format such as the one shown below in TABLE 2.e. Normalize the Total Magnitude by scaling it and reducing its order of magnitude to 10, making it a Magnitude Score out of 10.

TABLE 2ViableTotalMagnitudeAverageJourneysMagnitudeScoreSteps Taken56.4423076939,9532255039.5192.255039519Calories5.10897435939,953204118.85262.041188526BurnedHeart3.18589743639,953127286.16031.27286RateChange
3. Determine the effectiveness score for each data type using a histogram-based rating.a. Create histograms with three buckets based on the range of data for each data type.b. Determine platinum, gold, or silver rating for each data type based on where the data falls in the buckets.

C. Performance Rating Process

The final calibration of the physical zone with a numerical rating is made by summing and normalizing the score equivalents for the magnitudes, and the effectiveness based on the histograms.

1. Magnitudes: the three magnitude scores derived in the Data Analysis process are recorded.
2. Histogram-based Ratings: All the journeys for which data were recorded are classified using a histogram with three buckets based on the magnitudes of the data recorded for each type of data. Each bucket is given a label of silver, gold, and platinum from left to right. These labels are assigned the respective point values of 3.33, 6.66, and 10. Each histogram for a data type (e.g., steps taken, calories burned and heart rate change) is assigned one of these rating scores based on the bucket with the most data.
3. The Score Equivalents of the Magnitudes and the Histogram-based Ratings are tabulated using a format such as the one shown below in TABLE 3:

TABLE 3ScoreDataEquivalentMagnitudesTotal magnitude of steps taken2,255,0402.26Total magnitude of calories burned204,1192.04Total magnitude of Heart Rate127,2861.28changeHistogram-based RatingsRating of steps takensilver3.33Rating of calories burnedsilver3.33Rating of Heart Rate changesilver3.33Final Calibration Rating2.595

The final calibration in the form of a numerical rating for Klai Hall was found to be 2.595/10 in the example shown above.

4. Calculating the Final Calibration Rating

The final calibration of the physical zone as a numerical rating is made by taking the sum of the six scores in the Score Equivalent column in TABLE 3 above and dividing the sum by 60 (the number of different scores in the column (6) multiplied by 10) to normalize the final rating and make it out of 10.