Face Recognition using mmWave RADAR imaging

Challa, Muralidhar Reddy and Kumar, Abhinav and Cenkeramaddi, Linga Reddy (2021) Face Recognition using mmWave RADAR imaging. In: 7th IEEE International Symposium on Smart Electronic Systems, iSES 2021, 18 December 2021 through 22 December 2021, Jaipur.

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Abstract

The current work presents a novel approach to signal processing and face recognition based on 60 GHz mmWave RADAR imaging. Machine learning algorithms such as Convolutional Auto-Encoder and Random Forest algorithm are employed to implement the face recognition scheme. The work presents an approach towards computing and processing higher dimensional RADAR imaging information through extreme feature extraction followed by simple Random Forest, thus enabling a computationally inexpensive algorithm for a mobile friendly implementation. © 2021 IEEE.All rights reserved.

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IITH Creators:

IITH Creators	ORCiD
Kumar, Abhinav	https://orcid.org/0000-0002-5880-4023

Item Type:

Conference or Workshop Item (Paper)

Additional Information:

ACKNOWLEDGMENT This work was supported in part by the INCAPS project: 287918 of INTPART program from the Research Council of Norway and the Low-Altitude UAV Communication and Tracking (LUCAT) project: 280835 of the IKTPLUSS program from the Department of Science and Technology (DST), Government of India (Ref. No. INT/NOR/RCN/ICT/P-01/2018) and the Research Council of Norway.

Uncontrolled Keywords:

Auto-Encoder; Convolutional; face recognition; higher dimensional data; mmWave RADAR; Random-forest

Subjects:

Electrical Engineering

Divisions:

Department of Electrical Engineering

Depositing User:

. LibTrainee 2021

Date Deposited:

23 Aug 2022 07:03

Last Modified:

23 Aug 2022 07:03