Method and system for unobtrusive liveliness detection and monitoring using dfr in an iot network

A system for unobtrusive liveliness detection and monitoring using Dual Frequency Radar (DFR) in an Internet of Things (IOT) network, the system comprising:

• a memory storing instructions;
• one or more Input/Output (I/O) interfaces;
• and
• one or more hardware processors coupled to the memory via the one or more I/O interfaces, wherein the one or more hardware processors are configured by the instructions to:
• receive a first channel signal captured by a first radar of the DFR and a second channel signal captured by a second radar of the DFR, wherein the first radar operates at a first frequency designed to capture chest movement of a subject due to heartbeat activity and the second radar operates at a second frequency designed to capture chest movement of the subject due to breathing activity, and wherein the DFR is positioned to cover an observation space for liveliness monitoring of the subject present in the observation space;
• segment in time domain each of the first channel signal and the second channel signal into a plurality of segments in accordance with a predefined segment interval, wherein the predefined segment interval is selected to cover time corresponding to at least two breathing cycles;
• transmit the plurality of segments of the first channel signal and the second channel signal to a hardware preprocessing block of the system 102 to perform a first preprocessing on the plurality of segments of the first channel signal and the second channel signal to provide signal conditioning;
• receive from the hardware preprocessing block the first preprocessed plurality of segments of the first channel signal and the second channel signal;
• sequentially perform on the first preprocessed plurality of segments of the first channel signal and the second channel signal for signal conditioning and residual noise elimination using a software processing block;
• analyze each of the second preprocessed plurality of segments associated with the first channel signal and the second channel signal to detect a plurality of presence segments indicative of a presence of subject or one or more absence segments indicative of absence of the subject in the observation space based on a presence detection technique, wherein the detected one or more absence segments are discarded;
• detect a quality of each of the plurality of presence segments by computing an Area Under Correlation (AUC) of each of the plurality of presence segments, wherein one or more segments among the plurality presence segments having the AUC below a first AUC threshold are discarded;
• determine whether the AUC of each of the plurality of presence segments, having the AUC above or equal to the first AUC threshold, are i) above or ii) equal or below a second AUC threshold, wherein
• a first set of presence segments among the plurality of presence segments having the AUC above the second AUC threshold is utilized for simultaneously determining a Hear Rate (HR) and a Breath Rate (BR) of the subject to detect and monitor the liveliness of the subject;
• and
• a second set of presence segments among the plurality of presence segments having the AUC below or equal to the second AUC threshold is utilized for determining the BR rate to detect and monitor the liveliness of the subject;
• and
• generate an alert for at least one of:
• i) if the determined HR is below a Liveliness HR threshold, and ii) if the determined BR is below a liveliness BR threshold.

One or more non-transitory machine readable information storage mediums comprising one or more instructions, which when executed by one or more hardware processors causes a method for:

• receiving by a sensor node among a plurality of sensor nodes in the IOT network, a first channel signal captured by a first radar of the DFR and a second channel signal captured by a second radar of the DFR, wherein the first radar operates at a first frequency designed to capture chest movement of a subject due to heartbeat activity and the second radar operates at a second frequency designed to capture chest movement of the subject due to breathing activity, and wherein the DFR is positioned to cover an observation space for liveliness monitoring of the subject present in the observation space;
• segmenting in time domain each of the first channel signal and the second channel signal into a plurality of segments in accordance with a predefined segment interval, wherein the predefined segment interval is selected to cover time corresponding to at least two breathing cycles;
• transmitting the plurality of segments of the first channel signal and the second channel signal to a hardware preprocessing block to perform a first preprocessing on the plurality of segments of the first channel signal and the second channel signal to provide signal conditioning;
• receiving from the hardware preprocessing block the first preprocessed plurality of segments of the first channel signal and the second channel signal;
• sequentially performing a second on the first preprocessed plurality of segments of the first channel signal and the second channel signal for signal conditioning and residual noise elimination using a software processing block;
• analyzing each of the second preprocessed plurality of segments associated with the first channel signal and the second channel signal to detect a plurality of presence segments indicative of a presence of subject or one or more absence segments indicative of absence of the subject in the observation space based on a presence detection technique, wherein the detected one or more absence segments are discarded;
• detecting a quality of each of the plurality of presence segments by computing an Area Under Correlation (AUC) of each of the plurality of presence segments, wherein one or more segments among the plurality presence segments having the AUC below a first AUC threshold are discarded;
• determining whether the AUC of each of the plurality of presence segments, having the AUC above or equal to the first AUC threshold, are i) above or ii) equal or below a second AUC threshold, wherein
• a first set of presence segments among the plurality of presence segments having the AUC above the second AUC threshold is utilized for simultaneously determining a Hear Rate (HR) and a Breath Rate (BR) of the subject to detect and monitor the liveliness of the subject (318);
• and
• a second set of presence segments among the plurality of presence segments having the AUC below or equal to the second AUC threshold is utilized for determining the BR rate to detect and monitor the liveliness of the subject (320);
• and
• generating an alert for at least one of:
• i) if the determined HR is below a Liveliness HR threshold, and ii) if the determined BR is below a liveliness BR threshold.