PATENT CLAIM ANALYSIS

Application Number: 15932370
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["345", "420000"]

Abstract:
Present application refers to a method, a model generation unit and a computer program (product) for generating trained models (M) of moving persons, based on physically measured person scan data (S). The approach is based on a common template (T) for the respective person and on the measured person scan data (S) in different shapes and different poses. Scan data are measured with a 3D laser scanner. A generic personal model is used for co-registering a set of person scan data (S) aligning the template (T) to the set of person scans (S) while simultaneously training the generic personal model to become a trained person model (M) by constraining the generic person model to be scan-specific, person-specific and pose-specific and providing the trained model (M), based on the co-registering of the measured object scan data (S).

Claim (Index 10):
The computer-implemented method of  claim 7 , wherein the trained body model includes the internal parameter, and wherein updating the trained body model comprises computing the internal parameter to fit the aligned constrained, aligned object data.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 88.0
- Lexical Diversity: 2.33803
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14433178', '15739658', '14604829', '11881172', '14602701']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6799905256514992
- 35 USC 102 Novelty (BERT): 0.5507779057519664
- Combined Prediction Score: 0.667069263661546
- Mean Citation Score: 281.282038
- Max Citation Score: 426.38297
- Similarity Product: 310.45343129125587

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