Argitalpenak (23) ANTONIO ARRUTI ILLARRAMENDI argitalpenak Ikerketa datu erreferentziatuak ikusi.

2018

  1. A preliminary system for the automatic detection of emotions based on the autonomic nervous system response

    NEUROTECHNIX 2018 - Proceedings of the 6th International Congress on Neurotechnology, Electronics and Informatics

2017

  1. A Stress Classification System Based on Arousal Analysis of the Nervous System

    Biosystems and Biorobotics (Springer International Publishing), pp. 783-787

  2. A real-time stress classification system based on arousal analysis of the nervous system by an F-state machine

    Computer Methods and Programs in Biomedicine, Vol. 148, pp. 81-90

2013

  1. Fusing multiple image transformations and a thermal sensor with kinect to improve person detection ability

    Engineering Applications of Artificial Intelligence, Vol. 26, Núm. 8, pp. 1980-1991

2012

  1. First results in modelling stress situations by analysing physiological human signals

    Proceedings of the IADIS International Conference e-Health 2012, EH 2012, Part of the IADIS Multi Conference on Computer Science and Information Systems 2012, MCCSIS 2012

2008

  1. Natural interaction between avatars and persons with alzheimer's disease

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2007

  1. A comparison using different speech parameters in the automatic emotion recognition using feature subset selection based on evolutionary algorithms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Application of feature subset selection based on evolutionary algorithms for automatic emotion recognition in speech

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Automatic Speech Recognition for Live TV Subtitling for Hearing-Impaired People

    CHALLENGES FOR ASSISTIVE TECHNOLOGY