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Luca Benini

20 papers hereh-index 12543 citations46 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author10
  • last author8

Across the 18 of 20 papers where every author was matched, so the position is known.

fields
  • cs.RO6
  • eess.SP4
  • eess.SY3
  • cs.AR2
  • cs.CV2
  • cs.AI1
same name
  • Luca Benini — 28 papers, h 8
  • Luca Benini — 24 papers, h 8
  • Luca Benini — 22 papers, h 6
  • Luca Benini — 21 papers, h 5
  • Luca Benini — 19 papers, h 10
  • Luca Benini — 18 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing eess.SPShow all

4 papers · 1 filter

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 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.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

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…

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