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Non-invasive remote tracking and vita sign monitoring with low-power and miniaturized FMCW radars
In many applications, from robotics to home and industry automation, localizing objects and people is an essential feature. Outdoor localization is generally performed using GNSS, GPS, which does not work in indoor scenarios. In this applications, systems like BLE and UWB tag-anchor system are commonly implemented. However, these systems involve the necessity of carrying a battery supplied tag together with the tracked object. This limits the applicability to human and/or animals, that are not happy to wear 24/7 electronic devices, or it can increase the system cost for industrial products.
Keywords: Radars, FMCW, Low Power, Sensors, Digital Signal Processing
In many applications, from robotics to home and industry automation, localizing objects and people is an essential feature. Outdoor localization is generally performed using GNSS, GPS, which does not work in indoor scenarios. In this applications, systems like BLE and UWB tag-anchor system are commonly implemented. However, these systems involve the necessity of carrying a battery supplied tag together with the tracked object. This limits the applicability to human and/or animals, that are not happy to wear 24/7 electronic devices, or it can increase the system cost for industrial products.
In this scenario, passive solution have recently arise. In particular, system on chip FMCW (Frequency-Modulated Continuous Wave radar) can be configured to track both movements and human/animals vital sings in a full contactless setup. This promising approach allows the monitoring and tracking of humans in indoor applications and animals. As depicted in the figure above, the radar sensor (on the left of the cage), is able to track the respiration rate of an hamster without any physical contact.
In many applications, from robotics to home and industry automation, localizing objects and people is an essential feature. Outdoor localization is generally performed using GNSS, GPS, which does not work in indoor scenarios. In this applications, systems like BLE and UWB tag-anchor system are commonly implemented. However, these systems involve the necessity of carrying a battery supplied tag together with the tracked object. This limits the applicability to human and/or animals, that are not happy to wear 24/7 electronic devices, or it can increase the system cost for industrial products. In this scenario, passive solution have recently arise. In particular, system on chip FMCW (Frequency-Modulated Continuous Wave radar) can be configured to track both movements and human/animals vital sings in a full contactless setup. This promising approach allows the monitoring and tracking of humans in indoor applications and animals. As depicted in the figure above, the radar sensor (on the left of the cage), is able to track the respiration rate of an hamster without any physical contact.
This specific project expands on tracking and monitoring objects, people, and animals (animals with the support of ETH Phenomics Center (EPIC) is a state-of-the-art research and service platform for experimental laboratory in-vivo animal research) exploiting the miniaturized FMCW Radar from Infineon. The project includes hardware design, software and firmware, and data collection/processing. The specific project goal will be discussed between the student and the supervisors.
This specific project expands on tracking and monitoring objects, people, and animals (animals with the support of ETH Phenomics Center (EPIC) is a state-of-the-art research and service platform for experimental laboratory in-vivo animal research) exploiting the miniaturized FMCW Radar from Infineon. The project includes hardware design, software and firmware, and data collection/processing. The specific project goal will be discussed between the student and the supervisors.
Dr. Tommaso Polonelli (tommaso.polonelli@pbl.ee.ethz.ch)
Manuel Glahn (manuel.glahn@pbl.ee.ethz.ch)
Dr. Tommaso Polonelli (tommaso.polonelli@pbl.ee.ethz.ch) Manuel Glahn (manuel.glahn@pbl.ee.ethz.ch)