PATENT CLAIM ANALYSIS

Application Number: 16261693
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["345", "156000"]

Abstract:
Systems, methods, apparatuses and devices for detecting facial expressions according to EMG signals for a virtual and/or augmented reality (VR/AR) environment, in combination with a system for simultaneous location and mapping (SLAM), are presented herein.

Claim (Index 1):
A facial expression determination system for determining a facial expression on a face of a user comprising:\n an apparatus comprising a plurality of EMG (electromyography) electrodes configured for contact with the face of the user, said apparatus comprising an electrode interface; a mask which contacts an upper portion of the face of the user, said mask including an electrode plate attached to at least eight EMG electrodes and one reference electrode such that said EMG electrodes contact said upper portion of the face of the user, wherein said electrode interface is operatively coupled to said EMG electrodes and a hardware processor, said electrode interface for providing said EMG signals from said EMG electrodes to said hardware processor; and a computational device configured to receive a plurality of EMG signals from said EMG electrodes, and comprising said hardware processor and a memory having instructions thereon operable by said hardware processor to cause the computational device to:\n receive said EMG signals; \n process said EMG signals to form processed EMG signals and to determine at least one feature of said EMG signals in said processed EMG signals; \n determine a roughness of said processed EMG signals according to a defined window, said determining a roughness comprising calculating an EMG-dipole and determining a movement of said processed EMG signals according to said EMG-dipole, and performing a nonlinear transformation of said processed EMG signals to enhance high-frequency contents of said processed EMG signals; \n classify, using a classifier, a facial expression of said user according to said at least one feature of said EMG signals and according to said roughness.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 99.0
- Lexical Diversity: 1.25714
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15875306', '14661788', '15398881', '10984488', '15149284']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5763882313287576
- 35 USC 102 Novelty (BERT): 0.6053223620647645
- Combined Prediction Score: 0.5792816444023583
- Mean Citation Score: 257.126206
- Max Citation Score: 544.4849
- Similarity Product: 460.3924853952169

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