PATENT CLAIM ANALYSIS

Application Number: 15954834
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["600", "592000"]

Abstract:
A method for identifying and correcting muscular and skeletal disbalances through exercise includes recording, by a processor, using at least one sensor coupled to the processor, an exercise motion performed by a user, identifying, by the processor, a motion deficiency of the user based on the detected exercise motion, formulating, by the processor, a corrective motion based on the detected motion deficiency, and providing, by the processor, the corrective motion to the user, which also includes identifying motion deficiencies as far as range of motion, balance, symmetry, smoothness, strength, stamina and other motion characteristics, formulating corrective exercise program that involves multiple training machines, formulating exercises in terms of number of repetitions, cadence (frequency) or motion, range of motion, added resistance levels, communicating the corrective exercise program via the screen embedded on each machine, and guiding the user through each exercise, directing user to change exercise machines.

Claim (Index 26):
The method of  claim 24  further comprising:\n recording an earlier exercise motion by another user; and \n using the earlier exercise motion to create the baseline data.

Metadata:
- Claim Count in Document: 86.0
- Percentile: 91.0
- Lexical Diversity: 2.21519
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11413110', '14447562', '14629672', '12051431', '12391771']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4421089714977266
- 35 USC 102 Novelty (BERT): 0.485934423697768
- Combined Prediction Score: 0.4464915167177307
- Mean Citation Score: 151.02506599999995
- Max Citation Score: 168.66512
- Similarity Product: 101.38761419475556

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

Dataset: test