SMART SENSOR, WEARABLE DEVICE COMPRISING SAID SMART SENSOR AND METHOD FOR PROCESSING THE DATA DETECTED THROUGH SAID SMART SENSOR

Abstract

Smart sensor (200) comprising: - a detector (210) configured for continuously detecting a physical quantity, sampled with a predefined sampling time tc, thus obtaining a plurality of the detected physical quantity samples xt-i with i∈[0, T-1] of size Nin where • xt-i ∈ RNin with i∈[0, T-1] is the sample acquired at discrete time t-i and is a vector of size Nin, • T is the number of samples acquired in a predetermine time size T x tc of an observation window; - an embedded first electronic unit (220) configured for receiving the acquired samples xt-i with i∈ [0, T-1] and for executing, each time a new sample xt-i with i∈ [0, T-1] is received, an incremental Neural Network g(incr) (·) having such a received new sample xt-i with i∈ [0, T-1] as an input, wherein such an incremental Neural Network g(incr) (·) provides the application of a number of n convolutional filters to each sample xt-i obtaining a corresponding first output output matrix Y having elements yt−ijkwith j∈ [1, n] and k ∈ [1, Nin] according to the following equation: yt−ijk=yt−i−1jk+cij×xt−i ∀j ∈ [1, n] and ∀k ∈ [1, Nin] wherein cij is the weight of the j-th filter applied to the sample at time t-i, said first output matrix Y having size n x Nin and being initialized to 0, and wherein the embedded first electronic unit (220) is configured to transmit the first output matrix Y to a second electronic unit (300) if a predefined condition is satisfied.

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