PATENT CLAIM ANALYSIS

Application Number: 15867932
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["382", "103000"]

Abstract:
An activity recognition device comprises a port configured to receive a video stream from a video source for a first object and a second object; a memory configured to store instructions and image frames of the video stream; and one or more processors, wherein the one or more processors execute the instructions stored in the memory, the one or more processors configured to: select portions of the image frames based on presence of the first object; determine areas within the portions of image frames, wherein locations of the first object in the video frames are bounded by the determined areas; determine motion of the first object and locations of a second object within the areas of the image frames; and identify an activity according to the determined motion and locations of the second object, and generate an alert according to the identified activity.

Claim (Index 7):
The activity recognition device of  claim 1 , wherein the first object is a hand, and wherein the one or more processors are configured to:\n determine locations of fingertips and joint points in the image frames; and track the change in fingertips and joint points between windowed portions of the image frames to determine the hand motion.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.65517
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15346665', '10649418', '14085591', '15823554', '13043645']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3503037214364388
- 35 USC 102 Novelty (BERT): 0.4731177681599225
- Combined Prediction Score: 0.3625851261087872
- Mean Citation Score: 165.921376
- Max Citation Score: 169.21432
- Similarity Product: 126.51111411528584

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