mmDetect: YOLO-Based Processing of mm-Wave Radar Data for Detecting Moving People

• Published in: IEEE sensors journal Vol. 24; no. 7; pp. 11906 - 11916
• Main Authors: Raimondi, Michela, Ciattaglia, Gianluca, Nocera, Antonio, Senigagliesi, Linda, Spinsante, Susanna, Gambi, Ennio
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Chirp; Classification; Constant false alarm rate; frequency-modulated continuous wave (FMCW) Radar; Indoor environments; Millimeter waves; Neural networks; Object recognition; people detection; Radar; Radar data; Radar detection; Radar imaging; Radar signal processing; Sensors; target recognition; YOLO; you only look once (YOLO)

The application of millimeter-wave (mmWave) Radar sensors for people monitoring raised a lot of interest in the context of active assisted living (AAL) since the processing of Radar signals can provide interesting information about the observed subjects. Correct recognition of the ongoing behavior,...