PATENT CLAIM ANALYSIS

Application Number: 15860019
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["434", "247000"]

Abstract:
An integrated goniometry system and method for use of the same are disclosed. In one embodiment of the goniometry system, an optical sensing instrument, a display, a processor, and memory are communicatively interconnected within a busing architecture in a housing. The optical sensing instrument monitors a stage, which is a virtual volumetric cubic area that is compatible with human exercise positions and movement. The display faces the stage and includes an interactive portal which provides prompts, including an exercise movement prompt providing instructions for a user on the stage to execute a set number of repetitions of an exercise movement, such as a bodyweight overhead squat. The optical sensing instrument senses body point data of the user during each exercise movement. Based on the sensed body point data, a mobility score, an activation score, a posture score, and a symmetry score may be calculated.

Claim (Index 10):
The integrated goniometry system as recited in  claim 9 , wherein the processor-executable instructions further comprise instructions that, when executed, cause the processor to:\n calculate an activation score by assessing position of the body point data.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 86.0
- Lexical Diversity: 1.85057
- Patent Class: 434.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15359635', '13304064', '13589073', '13129930', '15821734']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3467801514734515
- 35 USC 102 Novelty (BERT): 0.4852509790449316
- Combined Prediction Score: 0.3606272342305995
- Mean Citation Score: 134.518318
- Max Citation Score: 143.25601
- Similarity Product: 83.94407205139757

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

Dataset: test