Advancing muscle-computer interfaces with high-density electromyography

C Amma, T Krings, J Böer, T Schultz - Proceedings of the 33rd annual …, 2015 - dl.acm.org
In this paper we present our results on using electromyographic (EMG) sensor arrays for
finger gesture recognition. Sensing muscle activity allows to capture finger motion without …

EMG-to-speech: Direct generation of speech from facial electromyographic signals

M Janke, L Diener - IEEE/ACM Transactions on Audio, Speech …, 2017 - ieeexplore.ieee.org
Silent speech interfaces are systems that enable speech communication even when an
acoustic signal is unavailable. Over the last years, public interest in such interfaces has …

Online workload recognition from EEG data during cognitive tests and human-machine interaction

D Heger, F Putze, T Schultz - KI 2010: Advances in Artificial Intelligence …, 2010 - Springer
This paper presents a system for live recognition of mental workload using spectral features
from EEG data classified by Support Vector Machines. Recognition rates of more than 90 …

Multimodal person independent recognition of workload related biosignal patterns

J Jarvis, F Putze, D Heger, T Schultz - Proceedings of the 13th …, 2011 - dl.acm.org
This paper presents an online multimodal person independent workload classification
system using blood volume pressure, respiration measures, electrodermal activity and …

Online recognition of facial actions for natural EEG-based BCI applications

D Heger, F Putze, T Schultz - International Conference on Affective …, 2011 - Springer
We present a system for classification of nine voluntary facial actions, ie Neutral, Smile, Sad,
Surprise, Angry, Speak, Blink, Left, and Right. The data is assessed by an Emotiv EPOC …

An EEG adaptive information system for an empathic robot

D Heger, F Putze, T Schultz - International Journal of Social Robotics, 2011 - Springer
This article introduces a speech-driven information system for a humanoid robot that is able
to adapt its information presentation strategy according to brain patterns of its user. Brain …

[PDF][PDF] Towards a Method for Biosignals Analysis as Support for the Design of Adaptive User-Interfaces.

H Avalos-Viveros, G Molero-Castillo… - Res. Comput …, 2018 - researchgate.net
Biosignals are information sources obtained from the different biological and physiological
structures of the human organism. This paper presents the advance of the proposal of a …

An adaptive information system for an empathic robot using EEG data

D Heger, F Putze, T Schultz - … Conference on Social Robotics, ICSR 2010 …, 2010 - Springer
In this paper we introduce a speech-based information system for a humanoid robot that is
able to adapt its information presentation strategy to different brain patterns of its user. Brain …

Cognitive dialog systems for dynamic environments: Progress and challenges

F Putze, T Schultz - Digital signal processing for in-vehicle systems and …, 2012 - Springer
In this chapter, we present our existing setup and ongoing research on the development of
cognitive dialog systems for dynamic environments like cars, including the main components …

[PDF][PDF] Ubiquitous Integration and Temporal Synchronisation (UbilTS) framework: a solution for building complex multimodal data capture and interactive systems.

A Sivanathan - 2014 - core.ac.uk
Abstract Contemporary Data Capture and Interactive Systems (DCIS) systems are tied in
with various technical complexities such as multimodal data types, diverse hardware and …