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 7):
A method performed by a wearable device or a computing device in communication with the wearable device over a network:\n identifying a location associated with the wearable device; determining an orientation associated with the wearable device; collecting points from a one-dimensional ray sensor affixed to the wearable device, in which the sensor continually picks up points as the wearable device navigates an area; and using the collected points and the location and orientation information, building a map of an area surrounding the wearable device, in which the map distinguishes between objects and permanent structures such that permanent structures are included in the map and objects are discarded.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.0
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15923761', '13892987', '14875065', '14697109', '12900866']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.639700544582309
- 35 USC 102 Novelty (BERT): 0.4829809739463241
- Combined Prediction Score: 0.6240285875187105
- Mean Citation Score: 163.54678200000004
- Max Citation Score: 199.25377
- Similarity Product: 148.8747471894801

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