Machine Learning In-Sensors: Computation-enabled Intelligent Sensors For Next Generation of IoT. - Andrea Ronco; Lukas Schulthess; David Zehnder; Michele Magno (IEEE SENSORS, 2022)

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 (IoTDI, 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 (IoTDI, 2023)

Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar. - Andrea Ronco; Nicolas Baumann; Marco Giordano; Michele Magno (IWASI, 2023)

Investigation of mmWave Radar Technology For Non-contact Vital Sign Monitoring. - Steven Marty; Federico Pantanella; Andrea Ronco; Kanika S. Dheman; Michele Magno (MeMeA, 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 (WF-IoT, 2023)

Gaze Estimation on Spresense. - Thomas Rüegg; Pietro Bonazzi; Andrea Ronco (CoRR, 2023)

TinyssimoRadar: In-Ear Hand Gesture Recognition with Ultra-Low Power mmWave Radars. - Andrea Ronco; Philipp Schilk; Michele Magno (IoTDI, 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)