activity
20232026
most citedTinyBird-ML: An ultra-low Power Smart Sensor Node for Bird Vocalization Analysis and Syllable Classification

8 citations · 24 across the 17 of their papers we have counts for

collaborators

19 papers

eess.SP2026

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…

eess.SP2026

A Miniaturized In-Mouth pH Sensing System for Real-Time Intraoral Telemetry

Lukas Schulthess, Philipp Schilk, Julian Moosmann +4

Dental caries is one of the most common chronic diseases worldwide, caused by acid production from bacterial metabolism of fermentable carbohydrates and affecting people of all age…

eess.SP2026

A Time-Synchronized Video Reference System for Data Analysis of Body-Attached Sensor Nodes in Outdoor Scenarios

Lukas Schulthess, Fabian Pleisch, Matheo Käch +4

Wearable body-attached multi-sensor systems enable detailed analysis of human motion and physiological signals in sports, rehabilitation, and movement research. While wireless sync…

eess.SY2026

A Class AAA Solar Testbed for Reproducible Long-Term Characterization of Energy-Harvesting Systems

Lukas Schulthess, Andreas Rätz, Michele Magno +1

Energy harvesting promises maintenance-free operation of wireless sensor nodes but introduces strong dependencies on stochastic and deployment-specific environmental conditions. In…

cs.NI2026★ 1 cited

Eco-WakeLoc: An Energy-Neutral and Cooperative UWB Real-Time Locating System

Silvano Cortesi, Lukas Schulthess, Davide Plozza +2

Indoor localization systems face a fundamental trade-off between efficiency and responsiveness, which is especially important for emerging use cases such as mobile robots operating…

eess.SY2025

Wireless Low-Latency Synchronization for Body-Worn Multi-Node Systems in Sports

Nico Krull, Lukas Schulthess, Michele Magno +2

Biomechanical data acquisition in sports demands sub-millisecond synchronization across distributed body-worn sensor nodes. This study evaluates and characterizes the Enhanced Shoc…

cs.NI2025★ 1 cited

WakeMod: A 6.9uW Wake-Up Radio Module with -72.6dBm Sensitivity for On-Demand IoT

Lukas Schulthess, Silvano Cortesi, Michele Magno

Large-scale Internet of Things (IoT) applications, such as asset tracking and remote sensing, demand multi-year battery lifetimes to minimize maintenance and operational costs. Tra…

cs.RO2025

AniTrack: A Power-Efficient, Time-Slotted and Robust UWB Localization System for Animal Tracking in a Controlled Setting

Victor Luder, Lukas Schulthess, Silvano Cortesi +2

Accurate localization is essential for a wide range of applications, including asset tracking, smart agriculture, and animal monitoring. While traditional localization methods, suc…

cs.SE2025

Smart Feeding Station: Non-Invasive, Automated IoT Monitoring of Goodman's Mouse Lemurs in a Semi-Natural Rainforest Habitat

Jonas Peter, Victor Luder, Leyla Rivero Davis +2

In recent years, zoological institutions have made significant strides to reimagine ex situ animal habitats, moving away from traditional single-species enclosures towards expansiv…

eess.SP2025

BodySense: An Expandable and Wearable-Sized Wireless Evaluation Platform for Human Body Communication

Lukas Schulthess, Philipp Mayer, Christian Vogt +2

Wearable, wirelessly connected sensors have become a common part of daily life and have the potential to play a pivotal role in shaping the future of personalized healthcare. A key…

eess.SP2024

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…

eess.SY2024

H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing

Tommaso Polonelli, Lukas Schulthess, Philipp Mayer +2

The novel COVID-19 disease has been declared a pandemic event. Early detection of infection symptoms and contact tracing are playing a vital role in containing COVID-19 spread. As…

eess.SP2024★ 8 cited

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…

eess.SY2024★ 7 cited

RF Power Transmission for Self-sustaining Miniaturized IoT Devices

Lukas Schulthess, Federico Villani, Philipp Mayer +1

Radio Frequency (RF) wireless power transfer is a promising technology that has the potential to constantly power small Internet of Things (IoT) devices, enabling even battery-less…

eess.SY2024★ 6 cited

A LoRa-based Energy-efficient Sensing System for Urban Data Collection

Lukas Schulthess, Tiago Salzmann, Christian Vogt +1

Nowadays, cities provide much more than shopping opportunities or working spaces. Individual locations such as parks and squares are used as meeting points and local recreation are…

eess.SY2024★ 1 cited

A Lora-Based and Maintenance-Free Cattle Monitoring System for Alpine Pastures and Remote Locations

Lukas Schulthess, Fabrice Longchamp, Christian Vogt +1

The advent of the Internet of Things (IoT) is boosting the proliferation of sensors and smart devices in industry and daily life. Continuous monitoring IoT systems are also finding…

eess.SY2024

A Passive and Asynchronous Wake-up Receiver for Acoustic Underwater Communication

Lukas Schulthess, Philipp Mayer, Luca Benini +1

Establishing reliable data exchange in an underwater domain using energy and power-efficient communication methods is crucial and challenging. Radio frequencies are absorbed by the…

eess.SP2023

Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping

Lukas Schulthess, Thorir Mar Ingolfsson, Marc Nölke +3

In ski jumping, low repetition rates of jumps limit the effectiveness of training. Thus, increasing learning rate within every single jump is key to success. A critical element of…

cs.CV2023

ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras

Sizhen Bian, Lukas Schulthess, Georg Rutishauser +3

The interest in dynamic vision sensor (DVS)-powered unmanned aerial vehicles (UAV) is raising, especially due to the microsecond-level reaction time of the bio-inspired event senso…