activity
20182022
most citedSound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices

39 citations · 41 across the 6 of their papers we have counts for

collaborators

11 papers

eess.SP2022

Nonlinear and Machine Learning Analyses on High-Density EEG data of Math Experts and Novices

Hanna Poikonen, Tomasz Zaluska, Xiaying Wang +2

Current trend in neurosciences is to use naturalistic stimuli, such as cinema, class-room biology or video gaming, aiming to understand the brain functions during ecologically vali…

eess.SP20222 cited

Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs

Hanna Müller, Nicky Zimmerman, Tommaso Polonelli +4

Nano-size unmanned aerial vehicles (UAVs) hold enormous potential to perform autonomous operations in complex environments, such as inspection, monitoring or data collection. Moreo…

eess.SY2022

Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines

Tommaso Polonelli, Hanna Müller, Weikang Kong +3

This paper presents a low-power, self-sustainable, and modular wireless sensor node for aerodynamic and acoustic measurements on wind turbines and other industrial structures. It i…

cs.RO2022

Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications

Xiaying Wang, Fabian Geiger, Vlad Niculescu +2

Tactile sensing is a crucial perception mode for robots and human amputees in need of controlling a prosthetic device. Today robotic and prosthetic systems are still missing the im…

cs.SD2022

Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks

Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri +3

Keyword spotting (KWS) is a crucial function enabling the interaction with the many ubiquitous smart devices in our surroundings, either activating them through wake-word or direct…

cs.RO2021

SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications

Xiaying Wang, Fabian Geiger, Vlad Niculescu +2

The sophisticated sense of touch of the human hand significantly contributes to our ability to safely, efficiently, and dexterously manipulate arbitrary objects in our environment.…