PATENT CLAIM ANALYSIS

Application Number: 15975451
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["345", "156000"]

Abstract:
The present disclosure relates to methods and systems for providing virtual environments that are responsively adaptable to users' characteristics. Embodiments provide for identifying a virtual action to be performed by a virtual representation of a patient within a virtual environment. The virtual action corresponds to a physical action by a physical limb of the patient in the real-world. In embodiments, the virtual action is required to be performed to a first target area within the virtual environment. Embodiments determine that the patient has at least one limitation that limits the patient performing the physical action. A determination of whether the patient has performed the physical action to at least a physical threshold associated is made. The virtual environment is caused to adapt in order to allow the virtual action to be performed in response to the determination that the patient has performed the physical action to the physical threshold.

Claim (Index 7):
The method of  claim 1 , wherein the at least one virtual action includes interacting with at least one virtual object of the virtual environment, and wherein the virtual object is located within the virtual space corresponding to the physical threshold area.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.39394
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14716609', '12055964', '15647170', '12942668', '15158557']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6502421902332811
- 35 USC 102 Novelty (BERT): 0.4792549786834142
- Combined Prediction Score: 0.6331434690782944
- Mean Citation Score: 155.10986
- Max Citation Score: 165.73236
- Similarity Product: 117.0787783350563

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