PATENT CLAIM ANALYSIS

Application Number: 15989163
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["473", "457000"]

Abstract:
Aspects directed towards a training apparatus are disclosed. In one example, a bat sleeve having a substantially cylindrical shape is configured to remain affixed to a desired point of impact on a baseball bat. The bat sleeve includes a first open end having a first inner diameter and a first outer diameter, and a second open end having a second inner diameter and a second outer diameter. In another example, a training apparatus includes a bat portion and a sledgehammer portion. The bat portion has a form factor substantially similar to a lower portion of a baseball bat, whereas the sledgehammer portion has a form factor substantially similar to an upper portion of a sledgehammer In yet another example, a training apparatus includes a sensor portion coupled to a striking portion. Here, the sensor portion is configured to sense an impact between the striking portion and a target.

Claim (Index 6):
The training apparatus of  claim 4 , wherein the tightening mechanism comprises configuring the first inner diameter to be greater than the second inner diameter, and wherein the bat sleeve is configured to tighten onto the baseball bat at the second inner diameter in response to an increased insertion pressure.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 2.66667
- Patent Class: 473.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12773800', '11626291', '15173588', '09772689', '12586506']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6500624386290055
- 35 USC 102 Novelty (BERT): 0.4818384398844065
- Combined Prediction Score: 0.6332400387545456
- Mean Citation Score: 185.36641
- Max Citation Score: 194.4619
- Similarity Product: 140.613511863935

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