PATENT CLAIM ANALYSIS

Application Number: 16192733
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-06
Patent Classification: ["482", "008000"]

Abstract:
An adaptive training system can determine a finite work capacity and critical power and use those determinations to generate an adaptive training programs for workout parameters. To determining a finite work capacity and critical power, the adaptive training system can receive workout data; generate data points by determining, for each workout, a maximum amount of work done for each of multiple time window sizes; fit these workout data points to a function; and determine a critical power and finite work capacity based on the fitted function. Once the adaptive training system has determined a critical power and finite work capacity, the adaptive training system can use them to generate an adaptive training program by keeping a function defined by a set of workout parameters below an ability function that is based on the critical power and finite work capacity.

Claim (Index 17):
The method of  claim 16 , wherein the fitting the function to the work values and to the additional work values comprises:\n selecting, for each particular window size, the largest value of either the work values or the additional work values, corresponding to that particular window size; and fitting the function to the selected largest values for the window sizes.

Metadata:
- Claim Count in Document: 68.0
- Percentile: 98.0
- Lexical Diversity: 2.48333
- Patent Class: 482.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15035090', '14806037', '10804598', '15960461', '15805919']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6356690599402406
- 35 USC 102 Novelty (BERT): 0.4787504577753386
- Combined Prediction Score: 0.6199771997237504
- Mean Citation Score: 155.941956
- Max Citation Score: 173.12544
- Similarity Product: 116.6371430960083

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

Dataset: test