PATENT CLAIM ANALYSIS

Application Number: 15748207
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["356", "336000"]

Abstract:
The invention describes a laser sensor module ( 100 ) which is adapted to detect or determine at least two different physical parameters by means of self-mixing interference by focusing a laser beam to different positions. Such a laser sensor module ( 100 ) may be used as an integrated sensor module, for example, in mobile devices ( 250 ). The laser sensor module ( 100 ) may be used as an input device and in addition as a sensor for detecting physical parameters in an environment of the mobile communication device ( 250 ). One physical parameter in the environment of the mobile communication device ( 250 ) may, for example, be the concentration of particles in the air (air pollution, smog . . . ). The invention further describes a related method and computer program product.

Claim (Index 11):
The laser sensor module according to  claim 1 ,\n wherein the laser sensor module further comprises at least a second laser, wherein the second laser is arranged to emit second laser light via the first optical device based on signals provided by the at least one electrical driver, wherein the first laser light comprises a first wavelength and the second laser light comprises a second wavelength, wherein the second wavelength is different than the first wavelength, wherein the first optical device is arranged to focus the first laser light on a first focus region in the first mode, wherein the first optical device is arranged to focus the second laser light on a second focus region in the second mode, wherein the second focus region is different than the first focus region.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 86.0
- Lexical Diversity: 2.22388
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12992100', '14907636', '15773121', '12812046', '15536905']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7137906731431047
- 35 USC 102 Novelty (BERT): 0.4535361545329615
- Combined Prediction Score: 0.6877652212820905
- Mean Citation Score: 163.09716799999995
- Max Citation Score: 184.36185
- Similarity Product: 167.6856743840754

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

Dataset: test