PATENT CLAIM ANALYSIS

Application Number: 15924025
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["345", "419000"]

Abstract:
A wearable device is configured with a one-dimensional depth sensor (e.g., a LIDAR system) that scans a physical environment, in which the wearable device and depth sensor generate a point cloud structure using scanned points of the physical environment to develop blueprints for a negative space of the environment. The negative space includes permanent structures (e.g., walls and floors), in which the blueprints distinguish permanent structures from temporary objects. The depth sensor is affixed in a static position on the wearable device and passively scans a room according to the gaze direction of the user. Over a period of days, weeks, months, or years the blueprint continues to supplement the point cloud structure and update points therein. Thus, as the user continues to navigate the physical environment, over time, the point cloud data structure develops an accurate blueprint of the environment.

Claim (Index 1):
A wearable device, comprising:\n one or more processors; a single axis depth sensor affixed in a fixed position to the wearable device configured to passively scan and generate one-dimensional depth data for a physical environment; and memory having computer-readable instructions which, when executed by the one or more processors, cause the wearable device to:\n identify a location for the wearable device; \n receive original depth data from the depth sensor; \n develop a negative space blueprint for the physical environment at the identified location using the original depth data, the blueprint being based on points collected by the depth sensor; and \n update the blueprint of the physical environment as the depth sensor collects new depth data, in which pre-existing points from the original depth data are updated using the new depth data and undiscovered points of the physical environment are stored using the new depth data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.0
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15923761', '13892987', '14875065', '14697109', '12900866']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6111628866254926
- 35 USC 102 Novelty (BERT): 0.4836457119833654
- Combined Prediction Score: 0.5984111691612799
- Mean Citation Score: 163.54678200000004
- Max Citation Score: 199.25377
- Similarity Product: 144.47290720019222

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