PATENT CLAIM ANALYSIS

Application Number: 15863138
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["382", "128000"]

Abstract:
A system and method includes acquisition of a plurality of sets of body surface data, first data indicating locations of a first one or more body landmarks for each of the plurality of sets of body surface data, and second data indicating locations of a second one or more body landmarks for each of the plurality of sets of body surface data, training, using the plurality of sets of body surface data and data indicating locations of the first one or more body landmarks for each of the plurality of sets of body surface data, of a first reinforcement learning network to identify the first one or more body landmarks based on body surface data, and training, using the plurality of sets of body surface data and data indicating locations of the second one or more body landmarks for each of the plurality of sets of body surface data, of a second reinforcement learning network to identify the second one or more body landmarks based on body surface data.

Claim (Index 13):
A non-transitory computer-readable medium storing processor-executable process steps, the process steps executable by a processing unit to cause a system to:\n acquire a plurality of sets of body surface data, first data indicating locations of a first one or more body landmarks for each of the plurality of sets of body surface data, and second data indicating locations of a second one or more body landmarks for each of the plurality of sets of body surface data; train, using the plurality of sets of body surface data and data indicating locations of the first one or more body landmarks for each of the plurality of sets of body surface data, a first reinforcement learning network to identify the first one or more body landmarks based on body surface data; and train, using the plurality of sets of body surface data and data indicating locations of the second one or more body landmarks for each of the plurality of sets of body surface data, a second reinforcement learning network to identify the second one or more body landmarks based on body surface data.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 86.0
- Lexical Diversity: 5.08571
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15695112', '15591157', '15386856', '15689046', '13867560']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3322526223366435
- 35 USC 102 Novelty (BERT): 0.4963038458081484
- Combined Prediction Score: 0.348657744683794
- Mean Citation Score: 171.78122000000005
- Max Citation Score: 182.06818
- Similarity Product: 113.00527027377127

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