PATENT CLAIM ANALYSIS

Application Number: 15884074
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["482", "005000"]

Abstract:
Systems and methods for dynamic resistance training are provided that include the use of a dynamic force module. The dynamic force module includes an actuator and controller adapted to control the actuator according to a force profile that specifies the relationship between an operational parameter of the actuator and a measured parameter associated with a user performing an exercise. The dynamic force module is also capable of communicating with a broader network system to facilitate storing and distribution of force profiles and user profile information. The network system further includes features for, among other things, generating and managing force profiles, uploading multimedia content, and tracking user progress.

Claim (Index 20):
The system of  claim 19 , further comprising a user information data source for storing user information and communicatively coupled to the computing device, the computing device further configured to:\n receive, from the dynamic force module, exercise data corresponding to an exercise performed by the user using the exercise machine; and at least one of update and generate an entry of the user information source corresponding to the user including the exercise data.

Metadata:
- Claim Count in Document: 28.0
- Percentile: 86.0
- Lexical Diversity: 1.79688
- Patent Class: 482.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14337139', '15829183', '14329891', '14537976', '15423895']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6404286147890491
- 35 USC 102 Novelty (BERT): 0.4583298538678689
- Combined Prediction Score: 0.6222187386969311
- Mean Citation Score: 137.44307400000002
- Max Citation Score: 145.47028999999995
- Similarity Product: 101.88416486460562

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

Dataset: test