Bjoern M. Eskofier

About

Bjoern M. Eskofier is a leading researcher at the intersection of wearable technology, sensor systems, and human-machine interaction, with a particular focus on sports science and assistive robotics. His work spans from smart textiles for athletic performance analysis to advanced control interfaces for prosthetic devices and robotic systems. Eskofier’s major contributions include the development of a smart soccer shoe (53 citations) that uses textile pressure sensors to analyze foot-ball interactions, and a capacitive sensor skin for safe human-robot collaboration (18 citations). He has also advanced signal processing with a robust Kalman filter framework (15 citations) that handles outliers and non-uniform data. In assistive technology, his tactile myography work (12 citations) explores novel myocontrol for upper-limb amputees, while his proportional EMG control labeling approach (12 citations) aims to improve dexterity in prosthetic hands. Notably, Eskofier has extended EMG-based control to space applications, enabling teleoperated tasks in weightlessness (11 citations). His research is characterized by a practical, application-driven approach that bridges fundamental sensor science with real-world impact in sports, rehabilitation, and space exploration.

Research Focus

Key Achievements

Top Papers

1. 1
   Smart soccer shoe

   53 citations · 2016
2. 2
   A Smart Capacitive Sensor Skin with Embedded Data Quality Indication for Enhanced Safety in Human–Robot Interaction

   18 citations · 2021
3. 3
   A Robust Kalman Framework with Resampling and Optimal Smoothing

   15 citations · 2015
4. 4
   Tactile Myography: An Off-Line Assessment of Able-Bodied Subjects and One Upper-Limb Amputee

   12 citations · 2018
5. 5
   A New Labeling Approach for Proportional Electromyographic Control

   12 citations · 2022
6. 6
   Electromyography for Teleoperated Tasks in Weightlessness

   11 citations · 2021

Key Collaborators

Contact & Links