Andrea Ronco

According to our database, Andrea Ronco authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Frequency Matters: Comparative Analysis of Low-Power FMCW Radars for Vital Sign Monitoring.

Steven Marty, Andrea Ronco, Federico Pantanella, Kanika S. Dheman, Michele Magno

IEEE Trans. Instrum. Meas., 2024

TinyssimoRadar: In-Ear Hand Gesture Recognition with Ultra-Low Power mmWave Radars.

Andrea Ronco, Philipp Schilk, Michele Magno

Proceedings of the Ninth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2024

2023

Gaze Estimation on Spresense.

Thomas Rüegg, Pietro Bonazzi, Andrea Ronco

CoRR, 2023

Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study.

Michael Lötscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco, Michele Magno

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Investigation of mmWave Radar Technology For Non-contact Vital Sign Monitoring.

Steven Marty, Federico Pantanella, Andrea Ronco, Kanika S. Dheman, Michele Magno

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar.

Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno

Proceedings of the 9th International Workshop on Advances in Sensors and Interfaces, 2023

Demo Abstract: In-Ear-Voice - Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms.

Philipp Schilk, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno

Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms.

Philipp Schilk, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno

Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

2022

Machine Learning In-Sensors: Computation-enabled Intelligent Sensors For Next Generation of IoT.

Andrea Ronco, Lukas Schulthess, David Zehnder, Michele Magno

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022