Patent ID: 11960654
Assignee: TATA CONSULTANCY SERVICES LIMITED
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A processor implemented method, comprising:
transmitting, via a plurality of speakers, a plurality of modulated signals to a user;
receiving, via a plurality of microphones, a plurality of reflected signals from the user, in response to the plurality of transmitted modulated signals;
processing, via a Channel Impulse Response (CIR) estimator, the plurality of transmitted modulated signals and the plurality of reflected signals using a sparsity prior serving as a constraint to obtain a plurality of CIR images; and
recognizing, via a Spiking Neural Network (SNN), a gesture performed by the user based on the plurality of CIR images,
wherein the Spiking Neural Network is obtained by:
training a Convolutional Neural Network (CNN) using training data comprising a plurality of CIR images corresponding to one or more users to obtain a trained CNN;
quantizing the trained CNN to obtain a quantized CNN; and
converting the quantized CNN to the SNN, wherein the quantized CNN is converted to the SNN by performing an approximate matching of a corresponding output of an CNN neuron comprised in the CNN to a firing rate of a spiking neuron comprised in the SNN.