PATENT CLAIM ANALYSIS

Application Number: 15958733
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["473", "436000"]

Abstract:
A basketball training apparatus includes a shot completion sensor, a condition sensor, and a computer. The shot completion sensor determines whether a shot goes through a basketball hoop. The condition sensor senses a physical condition of a basketball shooter. The computer is in communication with the shot completion sensor and the condition sensor, and has a processor for calculating shot completion percentage as a function of the physical condition.

Claim (Index 12):
A method comprising:\n sensing a physical condition of a basketball shooter using a physical condition sensor, the physical condition including one or more of heart rate, blood pressure, respiratory rate, and fatigue; generating physical condition data for the basketball shooter with a processor based on signals received from the physical condition sensor; relating shot completion percentage data for the basketball shooter with the physical condition data for the basketball shooter for each of a plurality of training sessions of the basketball shooter; and outputting the calculated shot completion percentage data as a function of the physical condition data for the basketball shooter for at least one of the plurality of training sessions to provide an indication of progress of the basketball shooter over time.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.11111
- Patent Class: 473.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15599057', '14080560', '15599074', '13310173', '15805919']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7343608775951778
- 35 USC 102 Novelty (BERT): 0.6090058935897532
- Combined Prediction Score: 0.7218253791946354
- Mean Citation Score: 440.410074
- Max Citation Score: 557.6261599999998
- Similarity Product: 516.4941405598686

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

Dataset: test