Next Article in Journal
Single- and Two-Phase Flow Characterization Using Optical Fiber Bragg Gratings
Next Article in Special Issue
Sensor-Aware Recognition and Tracking for Wide-Area Augmented Reality on Mobile Phones
Previous Article in Journal
Sparse Component Analysis Using Time-Frequency Representations for Operational Modal Analysis
Open AccessArticle

Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction

Deusto-Tech-LIFE Department, University of Deusto, Bilbao 48007, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Gianluca Paravati
Sensors 2015, 15(3), 6520-6548; https://doi.org/10.3390/s150306520
Received: 21 January 2015 / Revised: 5 March 2015 / Accepted: 6 March 2015 / Published: 17 March 2015
(This article belongs to the Special Issue Sensors for Entertainment)
This paper presents a multi-sensor system for implementing biofeedback as a human-computer interaction technique in a game involving driving cars in risky situations. The sensors used are: Eye Tracker, Kinect, pulsometer, respirometer, electromiography (EMG) and galvanic skin resistance (GSR). An algorithm has been designed which gives rise to an interaction logic with the game according to the set of physiological constants obtained from the sensors. The results reflect a 72.333 response to the System Usability Scale (SUS), a significant difference of p = 0.026 in GSR values in terms of the difference between the start and end of the game, and an r = 0.659 and p = 0.008 correlation while playing with the Kinect between the breathing level and the energy and joy factor. All the sensors used had an impact on the end results, whereby none of them should be disregarded in future lines of research, even though it would be interesting to obtain separate breathing values from that of the cardio. View Full-Text
Keywords: biofeedback; multi-sensor; game; Kinect; Eye Tracker; GSR; EMG; pulsometer; respirometer biofeedback; multi-sensor; game; Kinect; Eye Tracker; GSR; EMG; pulsometer; respirometer
Show Figures

Figure 1

MDPI and ACS Style

Ortiz-Vigon Uriarte, I.D.L.; Garcia-Zapirain, B.; Garcia-Chimeno, Y. Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction. Sensors 2015, 15, 6520-6548.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Search more from Scilit
 
Search
Back to TopTop