PATENT CLAIM ANALYSIS

Application Number: 15951573
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["345", "156000"]

Abstract:
Methods, systems and computer program products for speech and gesture interaction of multiple users with devices using voice activated interfaces are provided herein. A computer-implemented method includes transmitting a pilot signal from a device comprising a voice activated interface, the pilot signal having a frequency, detecting motion of at least one user around the device, associating the detected motion with a gesture, and performing a function in response to the gesture. Detecting the motion includes receiving a reflected signal of the pilot signal caused by the motion of the at least one user, and detecting a shift in the reflected signal from the pilot signal, wherein detecting the shift comprises determining one or more differences between a waveform corresponding to the pilot signal and a waveform corresponding to the reflected signal.

Claim (Index 16):
A system comprising:\n a memory; and at least one processor coupled to the memory and configured for:\n transmitting a pilot signal from a device comprising a voice activated interface, the pilot signal having a frequency; \n detecting motion of at least one user around the device, wherein said detecting the motion comprises:\n receiving a reflected signal of the pilot signal caused by the motion of the at least one user; and \n detecting a shift in the reflected signal from the pilot signal, wherein said detecting the shift comprises determining one or more differences between a waveform corresponding to the pilot signal and a waveform corresponding to the reflected signal, wherein said detecting the shift comprises (i) passing the reflected signal through a high pass filter, and (ii) processing output from the high pass filter utilizing a non-equispaced fast Fourier transform (NFFT); \n associating the detected motion with a gesture via application of at least one machine learning classification technique, comprising one or more support vector machines, to information pertaining to the detected shift, thereby identifying a shift-related signature caused by the detected motion and mapping the shift-related signature to training data associated with multiple user motions; and \n \n performing a function in response to the gesture.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.07353
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13332348', '12792609', '15401598', '14855746', '14715105']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6384875123287844
- 35 USC 102 Novelty (BERT): 0.4575833537079378
- Combined Prediction Score: 0.6203970964666997
- Mean Citation Score: 129.99687799999998
- Max Citation Score: 139.38876000000002
- Similarity Product: 108.12091627432824

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