PATENT CLAIM ANALYSIS

Application Number: 15895284
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-05
Patent Classification: ["705", "005000"]

Abstract:
A method for scheduling and reserving in real-time the use of exercise equipment at a fitness center. One or more processors receive a user profile including data, wherein the data includes medical data, schedule preferences, and fitness goal data of a user. One or more processors compare the user profile to a plurality of profiles included in a repository, wherein individual profiles of the plurality of profiles include medical data, schedule preferences, fitness goal data, and a corresponding workout plan. One or more processors determine whether the user profile matches, to a predetermined degree of similarity, to at least one individual profile. Having determined that the first user profile matches, one or more processors generates a workout plan for the user based on at least one individual profile and the corresponding workout of the profile. One or more processors create a schedule for the workout plan.

Claim (Index 1):
A method comprising:\n receiving, in a machine readable form, a physiological data set corresponding to a first user, with the physiological data set including information indicative of a first physiological parameter value for a first physiological parameter of the first user; determining, by machine logic, a first session-time parameter value, based, at least in part, upon the physiological data set, with the first session-time parameter value representing a recommended time duration of a first exercise session by the first user on an exercise resource of a first type; and scheduling, by machine logic, a plurality of exercise sessions respectively corresponding to a plurality of users including the first user, for a set of exercise resource(s) of the first type, with the scheduling being based, at least in part, upon the first session-time value; wherein:\n the first type is one of the following types: treadmill, weight lifting, abdominal, pool, track or spinning; \n the first physiological parameter is one of the following types: injury-related, disease history related, age, mass, body size, body shape, cardiovascular/circulatory system related, digestive/excretory system related, endocrine system related, integumentary/exocrine system related, lymphatic/immune system related, muscular/skeletal system related, nervous system related, renal/urinary system related, reproductive system related, respiratory system related, and/or data reflecting medical advice from a medical professional to a specific individual; \n the scheduling of exercise sessions is based, at least in part, upon predetermined schedule-able time slots of various time durations for each exercise resource of the set of exercise resource(s); \n the scheduling is based, at least in part, upon the first session-time value because the first session-time value is matched, at least approximately, to a schedule-able time slot of an appropriate time duration; \n the scheduling is based, at least in part, upon the first session-time value because the first session-time value is used to define a time duration of a first time slot for a selected exercise resource of the set of exercise resource(s) of the first type; and \n the scheduling includes scheduling the first user to use the selected exercise resource during the first time slot.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 2.65574
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14287444', '14588361', '14588289', '09731655', '14012754']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1095447687167047
- 35 USC 102 Novelty (BERT): 0.4812948509979665
- Combined Prediction Score: 0.1467197769448309
- Mean Citation Score: 179.71454
- Max Citation Score: 188.1756
- Similarity Product: 132.23823208343984

Labels:
- Claim Label 101: 0
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test