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 18):
A computer-implemented method, comprising:\n transmitting a pilot signal from a device comprising a voice activated interface, the pilot signal having a frequency; mapping a plurality of users to respective locations around the device; detecting respective motions of the plurality of users around the device, wherein said detecting the motion comprises:\n receiving respective reflected signals of the pilot signal from each of the plurality of users caused by the respective motions of the plurality of users; and \n detecting respective shifts in the respective reflected signals from the pilot signal, wherein said detecting the respective shifts comprises determining one or more differences between a waveform corresponding to the pilot signal and waveforms corresponding to the respective reflected signals, wherein said detecting the shifts comprises (i) passing the reflected signals 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 respective motions with respective gestures via application of at least one machine learning classification technique, comprising one or more support vector machines, to information pertaining to the detected shifts, thereby identifying shift-related signatures caused by the detected motions and mapping the shift-related signatures to training data associated with multiple user motions; and performing respective functions in response to the respective gestures.

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): 0.6386007223793729
- 35 USC 102 Novelty (BERT): 0.4571327894667766
- Combined Prediction Score: 0.6204539290881133
- Mean Citation Score: 129.99687799999998
- Max Citation Score: 139.38876000000002
- Similarity Product: 108.4711325676799

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