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Updated: May 10, 2026

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
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Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

Contactless bio-behavioral technologies for virtual reality.

Pietro Cipresso1, Silvia Serino, Andrea Gaggioli

  • 1Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Via Pellizza da Volpedo 41, 20149 Milano, Italy.

Studies in Health Technology and Informatics
|June 25, 2013
PubMed
Summary

Biosensors offer reliable measurement of human behavior, psychology, and physiology. Integrating bio-behavioral technology with Virtual Reality enhances contactless assessment of emotional states for improved rehabilitation diagnostics.

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Rehabilitation Science

Background:

  • Biosensors are crucial for objective measurement of behavioral, psychological, and physiological data in human research.
  • Virtual Reality (VR) offers a platform for immersive and controlled experimental environments.
  • Contactless assessment methods are increasingly important in research and clinical settings.

Purpose of the Study:

  • To propose a novel paradigm integrating biosensors and Virtual Reality for enhanced assessment.
  • To improve the accuracy of diagnostics in rehabilitation processes.
  • To enable contactless evaluation of affective states.

Main Methods:

  • Integration of modern bio-behavioral technologies with Virtual Reality platforms.

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Virtual Reality Experiments with Physiological Measures
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Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

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Last Updated: May 10, 2026

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

  • Utilizing biosensors for objective quantification of participant measures.
  • Development of a new assessment paradigm for rehabilitation.

    • Main Results:

    • The proposed paradigm facilitates accurate assessment of affective states.
    • Enhanced diagnostic capabilities for rehabilitation processes.
    • Demonstrates the potential of combined biosensor and VR technology.

    Conclusions:

    • The integration of biosensors and VR presents a promising approach for objective and accurate assessment.
    • This paradigm can significantly advance the field of rehabilitation diagnostics.
    • Contactless assessment of affective states is feasible and reliable using this technology.