PATENT CLAIM ANALYSIS

Application Number: 16020245
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-04
Patent Classification: ["345", "156000"]

Abstract:
This disclosure relates generally to hand-gesture recognition, and more particularly to system and method for detecting interaction of 3D dynamic hand gestures with frugal AR devices. In one embodiment, a method for hand-gesture recognition includes receiving frames of a media stream of a scene captured from a FPV of a user using RGB sensor communicably coupled to a wearable AR device. The media stream includes RGB image data associated with the frames of the scene. The scene comprises a dynamic hand gesture performed by the user. Temporal information associated with the dynamic hand gesture is estimated from the RGB image data by using a deep learning model. The estimated temporal information is associated with hand poses of the user and comprises key-points identified on user's hand in the frames. Based on said temporal information, the dynamic hand gesture is classified into predefined gesture classes by using multi-layered LSTM classification network.

Claim (Index 13):
The system of  claim 12 , wherein the multi-layered LSTM classification network comprises:\n a first layer comprising a LSTM layer consisting of a plurality of LSTM cells to learn long-term dependencies and patterns in a 3D coordinates sequence of the plurality of key-points detected on the user's hand; a second layer comprising a flattening layer that makes the temporal data one-dimensional; and a third layer comprising a fully connected layer with output scores corresponding to each of the dynamic hand gestures, the output scores indicative of posterior probability corresponding to the each of the dynamic hand gestures for classification in the at least one predefined gesture class.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 94.0
- Lexical Diversity: 2.0125
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15402128', '11586750', '15671118', '13428727', '15202750']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6310046944399341
- 35 USC 102 Novelty (BERT): 0.4941570320466188
- Combined Prediction Score: 0.6173199282006027
- Mean Citation Score: 190.373316
- Max Citation Score: 205.43462
- Similarity Product: 134.56816815360784

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