63 citations · 486 across the 76 of their papers we have counts for
19 papers · 1 filter
Multi-Sensor Edge Angle Detection for Performance Analysis in Ski Jumping
Ivan Simeonov, Lukas Schulthess, Hanna Mueller +4
In ski jumping, performance during the gliding phase depends on achieving an aerodynamic posture that maximizes the lift-to-drag ratio. In the V-style technique, the ski edge angle…
PuLsE: Accurate and Robust Ultrasound-based Continuous Heart-Rate Monitoring on a Wrist-Worn IoT Device
Marco Giordano, Christoph Leitner, Christian Vogt +2
This work explores the feasibility of employing ultrasound (US) US technology in a wrist-worn IoT device for low-power, high-fidelity heart-rate (HR) extraction. US offers deep tis…
Machine Learning In-Sensors: Computation-enabled Intelligent Sensors For Next Generation of IoT
Andrea Ronco, Lukas Schulthess, David Zehnder +1
Smart sensors are an emerging technology that allows combining the data acquisition with the elaboration directly on the Edge device, very close to the sensors. To push this concep…
TinyBird-ML: An ultra-low Power Smart Sensor Node for Bird Vocalization Analysis and Syllable Classification
Lukas Schulthess, Steven Marty, Matilde Dirodi +4
Animal vocalisations serve a wide range of vital functions. Although it is possible to record animal vocalisations with external microphones, more insights are gained from miniatur…
i-CardiAx: Wearable IoT-Driven System for Early Sepsis Detection Through Long-Term Vital Sign Monitoring
Kanika Dheman, Marco Giordano, Cyriac Thomas +2
Sepsis is a significant cause of early mortality, high healthcare costs, and disability-adjusted life years. Digital interventions like continuous cardiac monitoring can help detec…
Evaluation of Encoding Schemes on Ubiquitous Sensor Signal for Spiking Neural Network
Sizhen Bian, Elisa Donati, Michele Magno
Spiking neural networks (SNNs), a brain-inspired computing paradigm, are emerging for their inference performance, particularly in terms of energy efficiency and latency attributed…