Low-cost motion-tracking for computational psychometrics based on virtual reality

Pietro Cipresso, Silvia Serino, Irene Alice Chicchi Giglioli, Igor Giuliano, Davide Borra, Andrea Farina, Giuseppe Riva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Virtual Reality (VR) is a computer-based simulation designed to expose users to environments in order to replicate real world objects and events. In this framework, video games are one of the most popular forms of VR media all over the worlds. Their popularity has been fuelled by advancements in gaming technology and interactive devices at a low cost in home gaming market but also in clinical and research settings. In clinical and research virtual rehabilitation, the user should be able to interact (directly or indirectly) with the environment via a wide array of input technologies. These include activation of computer keyboard keys, a mouse or a joypad (indirect) and even by using special sensors or visual tracking (direct). For example, Microsoft Kinect provides low-cost motion tracking sensors, allowing to clinicians to interact with rehabilitation applications in the most natural and flexible way. This flexibility can be employed to tailor the user interaction to the specific rehabilitation user aims. According to this perspective, the paper aims to present a potential new platform, NeuroVirtual3D, which intends to develop a software interface for supporting assessment and rehabilitation of cognition function through several input/output devices, such as data gloves, joypad and Microsoft Kinect.

Original languageEnglish
Title of host publicationAugmented and Virtual Reality - 1st International Conference, AVR 2014, Revised Selected Papers
PublisherSpringer Verlag
Pages137-148
Number of pages12
Volume8853
ISBN (Print)9783319139685
DOIs
Publication statusPublished - 2014
Event1st International Conference on Augmented and Virtual Reality, SALENTO AVR 2014 - Lecce, Italy
Duration: Sep 17 2014Sep 20 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8853
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Conference on Augmented and Virtual Reality, SALENTO AVR 2014
CountryItaly
CityLecce
Period9/17/149/20/14

Fingerprint

Motion Tracking
Psychometrics
Rehabilitation
Virtual Reality
Patient rehabilitation
Virtual reality
Gaming
Costs
Interactive devices
Computer keyboards
Visual Tracking
Sensor
Video Games
Sensors
User Interaction
Cognition
Mouse
Activation
Chemical activation
Flexibility

Keywords

  • Biosensors
  • Psychometrics
  • Psychophysiology
  • Virtual Reality

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Cipresso, P., Serino, S., Chicchi Giglioli, I. A., Giuliano, I., Borra, D., Farina, A., & Riva, G. (2014). Low-cost motion-tracking for computational psychometrics based on virtual reality. In Augmented and Virtual Reality - 1st International Conference, AVR 2014, Revised Selected Papers (Vol. 8853, pp. 137-148). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8853). Springer Verlag. https://doi.org/10.1007/978-3-319-13969-2_11

Low-cost motion-tracking for computational psychometrics based on virtual reality. / Cipresso, Pietro; Serino, Silvia; Chicchi Giglioli, Irene Alice; Giuliano, Igor; Borra, Davide; Farina, Andrea; Riva, Giuseppe.

Augmented and Virtual Reality - 1st International Conference, AVR 2014, Revised Selected Papers. Vol. 8853 Springer Verlag, 2014. p. 137-148 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8853).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cipresso, P, Serino, S, Chicchi Giglioli, IA, Giuliano, I, Borra, D, Farina, A & Riva, G 2014, Low-cost motion-tracking for computational psychometrics based on virtual reality. in Augmented and Virtual Reality - 1st International Conference, AVR 2014, Revised Selected Papers. vol. 8853, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8853, Springer Verlag, pp. 137-148, 1st International Conference on Augmented and Virtual Reality, SALENTO AVR 2014, Lecce, Italy, 9/17/14. https://doi.org/10.1007/978-3-319-13969-2_11
Cipresso P, Serino S, Chicchi Giglioli IA, Giuliano I, Borra D, Farina A et al. Low-cost motion-tracking for computational psychometrics based on virtual reality. In Augmented and Virtual Reality - 1st International Conference, AVR 2014, Revised Selected Papers. Vol. 8853. Springer Verlag. 2014. p. 137-148. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-13969-2_11
Cipresso, Pietro ; Serino, Silvia ; Chicchi Giglioli, Irene Alice ; Giuliano, Igor ; Borra, Davide ; Farina, Andrea ; Riva, Giuseppe. / Low-cost motion-tracking for computational psychometrics based on virtual reality. Augmented and Virtual Reality - 1st International Conference, AVR 2014, Revised Selected Papers. Vol. 8853 Springer Verlag, 2014. pp. 137-148 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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