PATENT CLAIM ANALYSIS

Application Number: 15868777
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["250", "341800"]

Abstract:
Systems, devices, and methods for laser eye tracking are described. Laser eye tracking involves scanning laser light over the eye and detecting diffuse reflections of the laser light with one or more photodetector(s). While conventional camera-based eye tracking techniques rely on detecting and identifying specific reflections (i.e., Purkinje images such as the “glint”), the laser eye tracking techniques described herein detect and identify a reduction in reflection intensity due to transmission of laser light through the pupil and/or increased diffusivity of reflections from the cornea relative to reflections from the sclera. This effect is referred to herein as the “corneal shadow” effect. Laser eye tracking uses considerably less power than conventional camera-based eye tracking techniques. As a result, the laser eye tracking techniques described herein do not add significant power demands to a system and can be implemented in wearable heads-up displays without adding significant volume to the system battery.

Claim (Index 13):
The laser eye tracker of  claim 12  wherein the scanning laser device includes an infrared laser diode, the laser light includes infrared laser light, and the at least one photodetector includes at least one infrared photodetector.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 1.78947
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15331204', '15827667', '15827675', '15167458', '15807746']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8125881922750882
- 35 USC 102 Novelty (BERT): 0.5843804378903977
- Combined Prediction Score: 0.7897674168366191
- Mean Citation Score: 430.80977
- Max Citation Score: 526.58734
- Similarity Product: 514.8466681872428

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